WEBVTT - Scott Kupor's New Plan to Bring Tech Workers Into the Federal Government

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, Radio News.

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<v Speaker 2>Hello and welcome to another episode of the Odd Lots podcast.

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<v Speaker 3>I'm Joe Wisenthal and I'm Tracy Alloway.

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<v Speaker 4>Tracy.

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<v Speaker 2>One of the topics that we like to talk about,

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<v Speaker 2>but we haven't talked about it for a while, public

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<v Speaker 2>sector tech, public sector are hiring. We've done a number

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<v Speaker 2>of episodes on this. It's been a while though, since

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<v Speaker 2>we've revisited this question, but it raises so many fascinating things.

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<v Speaker 3>I remember the ones that we did with Jennifer Palca,

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<v Speaker 3>which were fantastic and we got a good sense of

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<v Speaker 3>some of the issues facing public technology, including I think

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<v Speaker 3>it was seven thousand requirements in a single RFP that

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<v Speaker 3>was at the state level. But you hear stuff like

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<v Speaker 3>that and it just kind of blows your mind how

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<v Speaker 3>complex the whole process of developing new technology actually is

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<v Speaker 3>in government.

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<v Speaker 5>Right.

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<v Speaker 2>So, and we've also Patrick McKenzie is the other one

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<v Speaker 2>we've talked about this with, like these legacy systems, they

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<v Speaker 2>have all of this croft or whatever, and some of

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<v Speaker 2>its tech, and some of it's related to hiring. Everyone

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<v Speaker 2>I feel like comes in to the public sector and

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<v Speaker 2>they're like, why can't this look more like the private sector.

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<v Speaker 2>But I have an observation that I thought about after

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<v Speaker 2>the last time we talked to Jennifer, which again they're

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<v Speaker 2>excellent conversations.

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<v Speaker 4>We'll move the ball forward. So they're all kinds of

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<v Speaker 4>obvious problems with the public sector.

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<v Speaker 2>We'll get into them. That being said, and I think

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<v Speaker 2>you had the same experience. You hear these descriptions of like, say,

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<v Speaker 2>what's broken with the hiring process, and it's like, you

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<v Speaker 2>know what, that sounds kind of familiar.

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<v Speaker 4>I've experienced that in the private sector too.

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<v Speaker 2>Yeah, a lot of these pathologies seem to exist in

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<v Speaker 2>large organizations.

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<v Speaker 3>I was going to say, I think it's it's endemic

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<v Speaker 3>to bureaucracy. Yeah, right, And I remember Jennifer specifically saying that,

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<v Speaker 3>like one of the main choke points is just the

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<v Speaker 3>operational process of getting stuff approved or getting a new

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<v Speaker 3>candidate through a hiring process that has been dictated by

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<v Speaker 3>Human resources and you have to fit into certain slots

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<v Speaker 3>or certain categories. So it's a big deal.

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<v Speaker 2>But that's the whole dealing with HR thing and their

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<v Speaker 2>role as gatekeepers of the hiring process. And they're all,

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<v Speaker 2>you say, jar I love our HR people here a Bloomberg.

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<v Speaker 2>I'm just saying some of it sounded a little bit familiar,

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<v Speaker 2>that's all I'm gonna I'm gonna leave it at that.

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<v Speaker 2>Some of it sounded a little bit familiar. Fair So,

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<v Speaker 2>of course we know that the new administration. Of course,

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<v Speaker 2>lots of people from the tech world have come to it,

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<v Speaker 2>I think probably most famously Elon Musk and the whole

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<v Speaker 2>Doge endeavor, which you know, we'll get into perhaps where

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<v Speaker 2>we stand on the verdict for that, but widely viewed

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<v Speaker 2>is not particularly transformational et CIEC. Nonetheless, a lot of

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<v Speaker 2>like buying a lot of people from the tech world

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<v Speaker 2>thinking about what aspect of our most dynamic industry in

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<v Speaker 2>America can be brought into the public sector to perhaps

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<v Speaker 2>make it a more dynamic place, maybe more efficient, maybe

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<v Speaker 2>more effective, and a maybe a more desirable place to

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<v Speaker 2>work for talented people.

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<v Speaker 3>Right, and the government, the Office of Personnel Management is

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<v Speaker 3>launching a new cross government program right to recruit top

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<v Speaker 3>technologists to modernize the federal government. And I would just

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<v Speaker 3>add it kind of has some new urgency because the

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<v Speaker 3>Trump administration has identified the AI race with China as

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<v Speaker 3>like this existential threat to the US. So you can

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<v Speaker 3>see stuff kind of coalescing totally.

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<v Speaker 2>Well, we literally do have the perfect guest because we

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<v Speaker 2>are going to be speaking with the Director of the

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<v Speaker 2>Office of Personnel Management in DC. We're going to be

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<v Speaker 2>speaking with Scott Cooper. He's a former venture capitalist who's

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<v Speaker 2>at Indrees and Horowitz, so he knows all about the

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<v Speaker 2>public world, the private world, et cetera. Literally the perfect guest. Scott,

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<v Speaker 2>thank you so much for coming on the Outlots podcast.

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<v Speaker 5>Well, thank you for having me. I'm glad to be here.

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<v Speaker 4>Absolutely.

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<v Speaker 2>What is let's start from real basics, what is the

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<v Speaker 2>job of the office the Director of the Office of

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<v Speaker 2>Personnel Management.

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<v Speaker 5>Yeah, it's a great question, and I didn't know the

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<v Speaker 5>answer to this one before I started talking to the

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<v Speaker 5>administration about the job either. So I think the simple

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<v Speaker 5>way to think about it is, Look, we're the talent

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<v Speaker 5>management organization for the federal government. So there's about two

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<v Speaker 5>point one million federal employees roughly in the government today,

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<v Speaker 5>and we are responsible for all policies related to people.

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<v Speaker 5>So how do you hire, how do you fire? Performance

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<v Speaker 5>management system so HRIT systems, And then we're also across

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<v Speaker 5>functional organization that everything we do obviously touches all the

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<v Speaker 5>different agencies. So we're trying to make sure that we've

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<v Speaker 5>got consistency of policies across the government. And the simple

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<v Speaker 5>goal in my mind is just how do we make

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<v Speaker 5>sure we have the right people in the right jobs

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<v Speaker 5>in the federal government. That's basically the forward articulation of

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<v Speaker 5>what we do.

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<v Speaker 3>Why did you decide to go from Andrewson Horowitz to

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<v Speaker 3>what seems like, you know, something of a challenging job

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<v Speaker 3>and possibly lower paid. You don't have to tell us

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<v Speaker 3>your salary.

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<v Speaker 2>But public somewhere, but I assume it lower than It's

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<v Speaker 2>definitely lower than.

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<v Speaker 5>A partner in a Jerisa Arty, right, right, my salary,

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<v Speaker 5>My salary is public. Actually, in fact, you know, you

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<v Speaker 5>know what you know when you've hit a hype point

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<v Speaker 5>in your life when your oldest daughter, who is I

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<v Speaker 5>won't give her age, but she is, let's say, under thirty,

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<v Speaker 5>is making more money than I am at this day.

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<v Speaker 5>So exactly, I'm very proud of her. Yeah, it's a

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<v Speaker 5>great question. Look, the honest answer is it was a

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<v Speaker 5>couple of things. One is just it was the right time.

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<v Speaker 5>You know, I'd been an injuriesent, as you know from

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<v Speaker 5>the Founding for sixteen years. Super proud of what we

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<v Speaker 5>did there, and Ben and Mark were incredibly gracious in

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<v Speaker 5>giving me this opportunity, and I really felt like this,

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<v Speaker 5>there is an opportunity in this administration to do something differently.

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<v Speaker 5>So you mentioned a bunch of technology people coming to

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<v Speaker 5>the administration, there's also just a bunch of you know,

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<v Speaker 5>business people more generally, and look, we're not going to

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<v Speaker 5>make a mistake of applying every private sector you know,

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<v Speaker 5>method and model to the federal government. But I think

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<v Speaker 5>what the President has asked us to do is to

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<v Speaker 5>think differently about things and giving us kind of the

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<v Speaker 5>permission and the flexibility to do that. And so to me, look,

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<v Speaker 5>I I've been around the venture capital business. You know,

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<v Speaker 5>ultimately company succeed or fail. My lesson from the venture

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<v Speaker 5>capital business is they succeed or fail almost entirely because

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<v Speaker 5>of the people in the organization and the organizational structure

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<v Speaker 5>and the culture and the incentives. It's pretty simple. And

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<v Speaker 5>so my view is, look, why can't we learn some

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<v Speaker 5>of those lessons and apply them as appropriate to the

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<v Speaker 5>federal government and think about creating a culture where we've

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<v Speaker 5>got great people who can do great stuff on behalf

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<v Speaker 5>of the American people.

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<v Speaker 2>So let's say, I want you to tell me about

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<v Speaker 2>your new initiative to bring in tech talent, and also

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<v Speaker 2>in the answer, maybe like situated within maybe what makes

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<v Speaker 2>it different from other endeavors where you know it was

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<v Speaker 2>the code for America Endeavor, which you know probably had

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<v Speaker 2>some similar themes. Obviously there is the Joje experience, which

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<v Speaker 2>I want to get into further. But talk to us

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<v Speaker 2>about this new project. What is it and then why

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<v Speaker 2>is it different from past efforts to infuse technology or

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<v Speaker 2>infuse tech thinking into the government.

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<v Speaker 5>Yeah, so let me take you through the program. So

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<v Speaker 5>the program is called US Tech Force, So anybody who's

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<v Speaker 5>interested can go to our x at us TESK Tech

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<v Speaker 5>Force and find more information about it. Basically, here's the program.

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<v Speaker 5>The goal is to bring a thousand engineers into the government,

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<v Speaker 5>so software developers, AI experts, data scientists, product managers, so

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<v Speaker 5>anybody who can help us basically with the job of

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<v Speaker 5>modernizing government infrastructure. It's a two year program and we

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<v Speaker 5>partnered with about twenty five of the largest private technology companies,

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<v Speaker 5>private sector technology companies, i should say, And we're really

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<v Speaker 5>trying to accomplish a couple things here. Number one is

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<v Speaker 5>the government has a dearth of what I would call

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<v Speaker 5>modern software expertise and modern AI technology expertise. And that's

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<v Speaker 5>not a knock at all on the organizations, but a

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<v Speaker 5>lot of what these big cio organizations of the government

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<v Speaker 5>have to do as they're maintaining these massive legacy infrastructures,

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<v Speaker 5>and so the ability to do bespoke development is quite

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<v Speaker 5>difficult in those organizations. So this will be a vehicle

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<v Speaker 5>to help them accelerate bespoke development across the entire government.

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<v Speaker 5>The second problem we're trying to solve is we have

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<v Speaker 5>a massive early career pipeline problem in the federal government.

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<v Speaker 5>So seven percent of the federal workforce is early career

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<v Speaker 5>let's call that less than five or seven years worth

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<v Speaker 5>of work experience, and that compares to about twenty two

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<v Speaker 5>to twenty three percent in the non federal sector. So

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<v Speaker 5>by a factor of three to one, the federal government

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<v Speaker 5>is completely failing at getting early career people into government.

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<v Speaker 5>And if you look at the other end of the spectrum.

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<v Speaker 5>By the way, so we've got about forty four percent

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<v Speaker 5>of our population that's over the age of fifty, and

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<v Speaker 5>that compares with about a third in the you know,

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<v Speaker 5>non federal workforce. So we've got this looming problem, which

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<v Speaker 5>is we're going to have a ton of people, you know,

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<v Speaker 5>over the next five percent years who rightly so you know,

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<v Speaker 5>are at retirement age and want to go do other things.

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<v Speaker 5>And we've done very very little to actually replenish the pipeline.

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<v Speaker 5>So this program is really intended to do that. And

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<v Speaker 5>one of the ways we're doing that is by making

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<v Speaker 5>it a two year program. So I don't think it's

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<v Speaker 5>reasonable for us to go to a twenty two to

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<v Speaker 5>twenty five, twenty seven year old person and say, decide today,

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<v Speaker 5>do you want to commit forty years of your life

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<v Speaker 5>to be a career public civil servant. What I'd rather

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<v Speaker 5>do is expose them to the problems in government, let

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<v Speaker 5>them actually have a great experience, and you know what,

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<v Speaker 5>like we should convince them over time how great this is.

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<v Speaker 5>But you know what, if the end of the two

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<v Speaker 5>year period they want to go back to the private sector,

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<v Speaker 5>that's great. And that's why we've lined up all these

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<v Speaker 5>private sector partners who are going to actually help run

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<v Speaker 5>a job fair for us and make sure that we

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<v Speaker 5>have kind of greater a connectivity between the public and private sectors.

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<v Speaker 3>Can you talk a little bit more about why historically

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<v Speaker 3>government roles have not been that desirable for tech workers.

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<v Speaker 3>Is I assume you diagnosed the problem before you came

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<v Speaker 3>up with a solution. But in your view, what is

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<v Speaker 3>the main choke point or market failure that is leading

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<v Speaker 3>to difficulty for the government to recruit the kind of

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<v Speaker 3>people that it wants to.

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<v Speaker 5>Yeah, so I think there's a couple of problems. So

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<v Speaker 5>one is it's I think the fundamental issue, quite frankly,

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<v Speaker 5>in my mind, is a messaging problem, which is I'll

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<v Speaker 5>give you an anecdote. Right, So, when I first came

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<v Speaker 5>into office, I've been in the office about six months now.

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<v Speaker 5>How I met with one of my managers in the

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<v Speaker 5>organization who said, hey, you guys are ruining things. And

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<v Speaker 5>I said, what do you mean? And by you guys,

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<v Speaker 5>she meant DOGE. And you know, I'm not part of DOGE,

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<v Speaker 5>but obviously, look I come from you know, I know

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<v Speaker 5>lots of those people. And I said, well, how are

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<v Speaker 5>we ruining things? She said, well, our whole value prop

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<v Speaker 5>to employees has been come to the federal government and

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<v Speaker 5>have lifetime employment. And I said, oh my gosh, you're

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<v Speaker 5>not going to like my answer, because number one, I'm

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<v Speaker 5>going to tell you like, that's a myth and a

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<v Speaker 5>lie that people have been telling you. There is no

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<v Speaker 5>such thing as lifetime employment. And two, I said, look,

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<v Speaker 5>that's the most that's the worst least compelling kind of

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<v Speaker 5>narrative that I've ever heard that I'm going to go

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<v Speaker 5>tell some twenty five year old like, that's the value proposition.

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<v Speaker 5>I'm coming to work with the government. So number one

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<v Speaker 5>is like, we have to change the narrative. The narrative

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<v Speaker 5>in my mind is come work on the toughest, biggest,

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<v Speaker 5>most complex problems. You know, do some public service, but

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<v Speaker 5>then give yourself career options and you know what, if

0:10:46.760 --> 0:10:48.040
<v Speaker 5>you want to go to the private sector after that,

0:10:48.080 --> 0:10:49.679
<v Speaker 5>you know, God bless you, that's a perfect thing to do.

0:10:50.120 --> 0:10:52.800
<v Speaker 5>So that's part of the problem. The other problem is

0:10:52.960 --> 0:10:55.320
<v Speaker 5>the nature of what happens in government. And you know,

0:10:55.559 --> 0:10:57.520
<v Speaker 5>you know Jen Polka, as you guys mentioned in your intro,

0:10:57.559 --> 0:11:00.560
<v Speaker 5>who's like brilliant on this stuff, diagnosed it per which

0:11:00.600 --> 0:11:02.960
<v Speaker 5>is so much of what government does is it's a

0:11:02.960 --> 0:11:06.440
<v Speaker 5>compliance based culture. Right, It's not just literally you know

0:11:06.520 --> 0:11:09.079
<v Speaker 5>that we follow laws, but if I do something wrong,

0:11:09.240 --> 0:11:11.520
<v Speaker 5>you know, I'm worried about getting an inspector General report,

0:11:11.600 --> 0:11:13.440
<v Speaker 5>or I'm worried about a GAO report, or I'm worried

0:11:13.480 --> 0:11:15.480
<v Speaker 5>about some congress person hauling me in front of their

0:11:15.480 --> 0:11:18.720
<v Speaker 5>committee to testify about stuff. And so the short answer

0:11:18.760 --> 0:11:21.040
<v Speaker 5>as a result is like, we have a zero risk

0:11:21.120 --> 0:11:24.600
<v Speaker 5>based culture inside of government. There's no concept of you know,

0:11:24.760 --> 0:11:26.199
<v Speaker 5>you know, you guys mentioned I came to the venture

0:11:26.200 --> 0:11:28.079
<v Speaker 5>capital world. You know, in that world, look, we take

0:11:28.120 --> 0:11:30.840
<v Speaker 5>crazy risk because all we're doing is trying to maximize

0:11:30.880 --> 0:11:33.280
<v Speaker 5>upside opportunity. Now, I'm not proposing we do that in government,

0:11:33.280 --> 0:11:35.320
<v Speaker 5>and I've been using the term measured risk as a

0:11:35.320 --> 0:11:37.840
<v Speaker 5>better way to try to describe it in government, but like,

0:11:37.960 --> 0:11:39.920
<v Speaker 5>we have to kind of change the culture and enable

0:11:39.920 --> 0:11:42.240
<v Speaker 5>people to think about the upside opportunity that comes from

0:11:42.240 --> 0:11:45.560
<v Speaker 5>taking modest amounts of risk. And unfortunately, particularly on the

0:11:45.559 --> 0:11:47.520
<v Speaker 5>technology side of things, that has not been the case.

0:11:47.840 --> 0:11:49.959
<v Speaker 5>And so again, if you're a young, you know, early

0:11:50.000 --> 0:11:52.800
<v Speaker 5>career person, I think you want to do cutting edge stuff,

0:11:52.800 --> 0:11:54.079
<v Speaker 5>you want to learn things, you want to kind of

0:11:54.120 --> 0:11:55.679
<v Speaker 5>go out a little bit on the risk curve. And

0:11:56.160 --> 0:11:58.199
<v Speaker 5>right now, at least historically, government has not been in

0:11:58.200 --> 0:11:59.040
<v Speaker 5>a minimal place for that.

0:12:00.000 --> 0:12:03.560
<v Speaker 2>Well, you mentioned that the pitch to work in the

0:12:03.559 --> 0:12:07.680
<v Speaker 2>federal government should not be this is lifetime employment. That

0:12:07.679 --> 0:12:11.080
<v Speaker 2>that is like, that's not healthy for a lot of reasons,

0:12:11.080 --> 0:12:13.920
<v Speaker 2>and I think a lot of people can intuitively agree

0:12:13.920 --> 0:12:16.720
<v Speaker 2>with it. On the other hand, you know, you mentioned

0:12:16.720 --> 0:12:18.720
<v Speaker 2>the sort of like in the VC world, you're always

0:12:18.720 --> 0:12:21.400
<v Speaker 2>shooting for the right tail, but when you're talking about

0:12:21.520 --> 0:12:24.080
<v Speaker 2>the layoffs or lifetime employee means like you're cutting off

0:12:24.120 --> 0:12:27.160
<v Speaker 2>the left tail. Just from a money standpoint, the employee

0:12:27.160 --> 0:12:30.239
<v Speaker 2>of the federal government never has the chance to experience

0:12:30.240 --> 0:12:32.960
<v Speaker 2>a right tail outcome. The highest paid worker in the

0:12:33.000 --> 0:12:36.320
<v Speaker 2>federal government, it's a very decent salary, but you know,

0:12:36.360 --> 0:12:41.080
<v Speaker 2>in the compared to very even moderately successful people, you know,

0:12:41.559 --> 0:12:44.760
<v Speaker 2>the most senior successful person in the federal government will

0:12:44.760 --> 0:12:47.560
<v Speaker 2>make less very often than just sort of like someone

0:12:47.559 --> 0:12:50.800
<v Speaker 2>who's hung around Google for a long time. So, like,

0:12:50.920 --> 0:12:53.360
<v Speaker 2>how much of a problem actually just comes down to

0:12:53.400 --> 0:12:54.840
<v Speaker 2>that simple monetary fact.

0:12:56.400 --> 0:12:59.320
<v Speaker 5>So, look, there's no question that compensation is relevant, but

0:12:59.400 --> 0:13:02.360
<v Speaker 5>I actually think we've been overstating the nature of that problem.

0:13:02.400 --> 0:13:04.160
<v Speaker 5>So let me give you a couple of thoughts on it. So,

0:13:04.200 --> 0:13:06.640
<v Speaker 5>first of all, part of the reason why we're focused

0:13:06.679 --> 0:13:08.920
<v Speaker 5>on early career here is at least the pay gap

0:13:08.920 --> 0:13:11.240
<v Speaker 5>between private and public is a little bit more manageable,

0:13:11.760 --> 0:13:13.960
<v Speaker 5>and it just kind of it as themptotes like massively

0:13:14.000 --> 0:13:16.080
<v Speaker 5>as you go farther through your career. So yes, it's

0:13:16.120 --> 0:13:19.360
<v Speaker 5>totally unrealistic, you know, unless you're rich and you just

0:13:19.360 --> 0:13:21.319
<v Speaker 5>decide you want to do something different. It's totally unrealistic

0:13:21.320 --> 0:13:22.920
<v Speaker 5>for us to think we're going to compete against like

0:13:22.920 --> 0:13:25.840
<v Speaker 5>a VP at Google for a senior level executive person

0:13:25.880 --> 0:13:28.280
<v Speaker 5>in the government. So that's not even in my mind, like,

0:13:28.320 --> 0:13:30.400
<v Speaker 5>that's not even worth worrying about, basically, because like the

0:13:30.440 --> 0:13:32.400
<v Speaker 5>pay gap is just crazy and nobody's going to do that.

0:13:32.920 --> 0:13:35.320
<v Speaker 5>But my experience, at least, and you know, you guys

0:13:35.360 --> 0:13:37.600
<v Speaker 5>have been around a lot of organizations, is look, there

0:13:37.600 --> 0:13:40.200
<v Speaker 5>are some people who are purely kind of profit maximizing,

0:13:40.280 --> 0:13:42.520
<v Speaker 5>and that's great. It's not I'm not have no normal

0:13:42.720 --> 0:13:45.400
<v Speaker 5>objections to that, obviously, but my sense is that's actually

0:13:45.480 --> 0:13:48.360
<v Speaker 5>a relatively small minority the population of employees. I think

0:13:48.400 --> 0:13:51.720
<v Speaker 5>most employees come to work every day because they're being challenged,

0:13:51.800 --> 0:13:54.440
<v Speaker 5>they're learning, they have career development opportunities, they work for

0:13:54.480 --> 0:13:57.080
<v Speaker 5>someone who cares about their career and they feel like,

0:13:57.160 --> 0:13:59.040
<v Speaker 5>you know, they can be rewarded when they actually do

0:13:59.080 --> 0:14:01.000
<v Speaker 5>good stuff. They feel like they're held accountable Like that,

0:14:01.040 --> 0:14:04.000
<v Speaker 5>to me is a culture that we can create inside

0:14:04.000 --> 0:14:06.520
<v Speaker 5>of the federal government. And you know, even if it

0:14:06.600 --> 0:14:09.240
<v Speaker 5>means yes, in a short period of time, you are

0:14:09.280 --> 0:14:12.120
<v Speaker 5>going to have like a you know, remuneration challenge relative

0:14:12.120 --> 0:14:14.600
<v Speaker 5>to the private sector. But this is also why again

0:14:14.720 --> 0:14:15.760
<v Speaker 5>just to go back to it, This is why I

0:14:15.800 --> 0:14:18.800
<v Speaker 5>think this whole narrative of come, you know, work for

0:14:18.800 --> 0:14:21.120
<v Speaker 5>the federal government for forty years, to me is just crazy.

0:14:21.320 --> 0:14:24.440
<v Speaker 5>Like we should have an open idea that you can

0:14:24.480 --> 0:14:26.400
<v Speaker 5>go back and forth being the public and private sector.

0:14:26.400 --> 0:14:27.600
<v Speaker 5>And you know what, if you have points in your

0:14:27.600 --> 0:14:29.680
<v Speaker 5>life where you think, like profit maximization is the most

0:14:29.680 --> 0:14:31.240
<v Speaker 5>important thing, then yes, like you should go to the

0:14:31.280 --> 0:14:33.840
<v Speaker 5>private sector because the government's never going to deal with that.

0:14:34.160 --> 0:14:36.000
<v Speaker 5>But I think we just have to break this. Like,

0:14:36.040 --> 0:14:38.000
<v Speaker 5>to me, this dichotomy that there's one way to go

0:14:38.120 --> 0:14:40.040
<v Speaker 5>or the other makes no sense. So look, in the

0:14:40.040 --> 0:14:42.080
<v Speaker 5>perfect world, I'd wave a magic wand and say we

0:14:42.160 --> 0:14:44.160
<v Speaker 5>pay everybody like what they can get paid to Google.

0:14:44.200 --> 0:14:47.000
<v Speaker 5>But that's not realistic, and quite frankly, you know, there's

0:14:47.120 --> 0:14:49.600
<v Speaker 5>there's zero support in Congress for that. The final thing

0:14:49.640 --> 0:14:51.000
<v Speaker 5>we can do, though, just to Joe, to give you

0:14:51.040 --> 0:14:54.000
<v Speaker 5>one last perspective, is we can do things inside of

0:14:54.040 --> 0:14:57.400
<v Speaker 5>OPM to mitigate some of the challenges on the compensation

0:14:57.440 --> 0:14:58.560
<v Speaker 5>side of things. So let me give you a very

0:14:58.560 --> 0:15:01.440
<v Speaker 5>specific example. So, as you probably know, there's a GS

0:15:01.480 --> 0:15:03.680
<v Speaker 5>schedule which is like everybody gets paid, you know, GS

0:15:03.760 --> 0:15:06.800
<v Speaker 5>one through fifteen. These are different levels today. All those

0:15:06.840 --> 0:15:09.360
<v Speaker 5>GS schedules are driven off of tenure and they're driven

0:15:09.360 --> 0:15:11.960
<v Speaker 5>off of degree requirements. So if I don't have a

0:15:11.960 --> 0:15:14.280
<v Speaker 5>college degree and I haven't worked for ten years, no

0:15:14.280 --> 0:15:16.040
<v Speaker 5>matter how good I am, I can't get to a

0:15:16.040 --> 0:15:19.400
<v Speaker 5>GS fifteen level in government. In my mind, that's just silly,

0:15:19.480 --> 0:15:21.800
<v Speaker 5>quite frankly, right, that's the opposite of a merit based culture.

0:15:22.200 --> 0:15:24.320
<v Speaker 5>You all will remember, since we've talked does, right, You'll

0:15:24.360 --> 0:15:26.080
<v Speaker 5>remember I won't mention his name, but you know there's

0:15:26.080 --> 0:15:29.320
<v Speaker 5>a doge engineer with a very colorful name that turger

0:15:29.360 --> 0:15:31.640
<v Speaker 5>listeners have heard of. You know, when all the kind

0:15:31.680 --> 0:15:33.480
<v Speaker 5>of exciting dose stuff was happening, there was a quote

0:15:33.480 --> 0:15:36.600
<v Speaker 5>from an administration official who said this guy's terrible. We

0:15:36.680 --> 0:15:38.840
<v Speaker 5>never would have hired him because he didn't graduate from

0:15:38.840 --> 0:15:41.320
<v Speaker 5>college and he didn't have whatever five years of work

0:15:41.320 --> 0:15:43.960
<v Speaker 5>experience coming here. And in my mind, like, I literally

0:15:43.960 --> 0:15:45.280
<v Speaker 5>wanted to pull my hair out when I heard that,

0:15:45.280 --> 0:15:47.880
<v Speaker 5>because I'll say, that's the craziest thing in the world. Like,

0:15:48.360 --> 0:15:50.920
<v Speaker 5>if this guy is capable of performing at a GS

0:15:50.960 --> 0:15:53.960
<v Speaker 5>fifteen level, why should we care about what his tenure

0:15:54.080 --> 0:15:56.000
<v Speaker 5>is or whether he has a college degree. And so

0:15:56.480 --> 0:15:58.200
<v Speaker 5>one of the things we're doing inside of OPM is

0:15:58.200 --> 0:16:01.640
<v Speaker 5>we're going to eliminate all requirements and all tenure requirements

0:16:01.680 --> 0:16:04.440
<v Speaker 5>in the pay schedule and so as a result, if

0:16:04.480 --> 0:16:06.840
<v Speaker 5>someone is doing awesome, like we can hire them at

0:16:06.880 --> 0:16:09.080
<v Speaker 5>the appropriate level. So some of the pay gap problem

0:16:09.520 --> 0:16:12.320
<v Speaker 5>is not just a numerical problem, it's a leveling problem.

0:16:12.320 --> 0:16:13.720
<v Speaker 5>And I think we can solve that even in the

0:16:13.760 --> 0:16:15.120
<v Speaker 5>absence of congressional legislation.

0:16:15.840 --> 0:16:19.560
<v Speaker 3>Yeah, I remember Jennifer again said something very similar about

0:16:19.600 --> 0:16:22.480
<v Speaker 3>like the best coder in America or a young guy

0:16:22.520 --> 0:16:26.080
<v Speaker 3>who had won this huge coding competition and then couldn't

0:16:26.200 --> 0:16:29.360
<v Speaker 3>get hired by the government because you didn't take all

0:16:29.400 --> 0:16:30.560
<v Speaker 3>of the official boxes.

0:16:30.960 --> 0:16:32.440
<v Speaker 4>Kind of crazy specific role.

0:16:32.720 --> 0:16:37.720
<v Speaker 3>Yeah, since you mentioned doing awesome. How do you actually

0:16:37.720 --> 0:16:42.160
<v Speaker 3>go about evaluating the performance of a tech worker in

0:16:42.240 --> 0:16:45.200
<v Speaker 3>government and how do you figure out which people you

0:16:45.280 --> 0:16:47.520
<v Speaker 3>actually want to hire in terms of talent?

0:16:48.960 --> 0:16:51.840
<v Speaker 5>Yeah, so the short entwer is we have to do

0:16:51.880 --> 0:16:53.640
<v Speaker 5>it differently from how we do it today. But let

0:16:53.640 --> 0:16:56.200
<v Speaker 5>me give you the very specific So on the front end,

0:16:56.840 --> 0:17:00.680
<v Speaker 5>historically we have relied on self attestation of skills in

0:17:00.760 --> 0:17:03.040
<v Speaker 5>order to hire people into the federal government. So I

0:17:03.040 --> 0:17:05.840
<v Speaker 5>apply for a software engineering job and I get this

0:17:05.920 --> 0:17:07.960
<v Speaker 5>application where I check boxes and I say, you know what,

0:17:08.000 --> 0:17:10.960
<v Speaker 5>I'm an expert in Perl programmer, I'm an expert in

0:17:11.320 --> 0:17:14.080
<v Speaker 5>you know, AI technology, And I literally checked the boxes.

0:17:14.119 --> 0:17:16.240
<v Speaker 5>And that is the basis on which, like, my application

0:17:16.280 --> 0:17:17.960
<v Speaker 5>gets through or doesn't get through to the next round

0:17:17.960 --> 0:17:18.440
<v Speaker 5>of screening.

0:17:19.320 --> 0:17:22.840
<v Speaker 3>I assume this is at some point, though, right, there's

0:17:22.880 --> 0:17:24.480
<v Speaker 3>some sort of contency test.

0:17:25.240 --> 0:17:27.959
<v Speaker 5>So in many roles there's not. And the reason is,

0:17:28.040 --> 0:17:30.239
<v Speaker 5>let me give you APEC. There's a historical reason for this.

0:17:30.320 --> 0:17:33.040
<v Speaker 5>So way back when we used to have literally a

0:17:33.080 --> 0:17:35.360
<v Speaker 5>civil service exam, it was called PACE was the name.

0:17:35.440 --> 0:17:37.919
<v Speaker 5>I forget what the acronym stands for, but it's PACE

0:17:38.960 --> 0:17:42.680
<v Speaker 5>that existed until nineteen eighty and there was a lawsuit

0:17:42.680 --> 0:17:44.719
<v Speaker 5>at the very tail end of the Carter administration, very

0:17:44.720 --> 0:17:48.000
<v Speaker 5>beginning the Reagan administration, first Reagan administration, where there was

0:17:48.040 --> 0:17:50.520
<v Speaker 5>desparate It was a disparate impact claim basically, so the

0:17:50.600 --> 0:17:53.800
<v Speaker 5>kind of test results on this exam were disproportionately negative

0:17:53.800 --> 0:17:57.520
<v Speaker 5>for minority applicants versus majority applicants. And so in nineteen

0:17:57.520 --> 0:17:59.960
<v Speaker 5>eighty one, the government entered into a consent to free

0:18:00.080 --> 0:18:03.560
<v Speaker 5>where basically they banned essentially the use of these examinations.

0:18:04.160 --> 0:18:07.080
<v Speaker 5>And from nineteen eighty one until literally four months ago,

0:18:07.560 --> 0:18:10.439
<v Speaker 5>we were living under that consent decree. Nobody ever revisited it,

0:18:10.480 --> 0:18:13.560
<v Speaker 5>and as a result, every agency was terrified to use

0:18:13.600 --> 0:18:17.480
<v Speaker 5>any kind of actual merit based assessment for hiring because

0:18:17.520 --> 0:18:19.199
<v Speaker 5>they were afraid they would run a foul of this

0:18:19.520 --> 0:18:22.800
<v Speaker 5>consent degree. Luckily for us, we revisited it along with

0:18:23.040 --> 0:18:25.600
<v Speaker 5>the Department of Justice, and we got out of the

0:18:25.640 --> 0:18:28.159
<v Speaker 5>consent decree. We actually found the original plaintiff actually was

0:18:28.160 --> 0:18:31.560
<v Speaker 5>still alive, Levano was his name, and we actually, you know,

0:18:31.640 --> 0:18:33.600
<v Speaker 5>finally said okay, forty three years later, we think it's

0:18:33.600 --> 0:18:35.399
<v Speaker 5>time to get rid of this consent degree, and they

0:18:35.440 --> 0:18:38.280
<v Speaker 5>agreed to that. So for the first time ever, now

0:18:38.640 --> 0:18:41.119
<v Speaker 5>we have kind of avoided we've eliminated the risk that

0:18:41.160 --> 0:18:43.159
<v Speaker 5>the agencies worried about, which is if I use a

0:18:43.200 --> 0:18:46.600
<v Speaker 5>technical assessment to judge somebody in the employment process, I

0:18:46.680 --> 0:18:48.760
<v Speaker 5>might get sued, you know, under some type of disprit

0:18:48.800 --> 0:18:52.120
<v Speaker 5>impact theory. So we are now doing that. So number

0:18:52.119 --> 0:18:53.800
<v Speaker 5>one to answer your there was a long way to

0:18:53.800 --> 0:18:55.760
<v Speaker 5>answer your question. But so like, the way we're going

0:18:55.800 --> 0:18:58.639
<v Speaker 5>to evaluate people is they actually have to demonstrate merit.

0:18:58.720 --> 0:19:01.199
<v Speaker 5>So there's lots of private sector tests as you probably know,

0:19:01.280 --> 0:19:03.399
<v Speaker 5>code signal, all these other things, and every single private

0:19:03.400 --> 0:19:05.920
<v Speaker 5>sector company uses where they're like, hey, basically, let me

0:19:05.960 --> 0:19:07.679
<v Speaker 5>give you a coding test if you're applying for a

0:19:07.680 --> 0:19:10.119
<v Speaker 5>software development job, and then we can level you and

0:19:10.160 --> 0:19:12.320
<v Speaker 5>figure out are you a you know, GS five or

0:19:12.359 --> 0:19:14.040
<v Speaker 5>GS fifteen based on that, and then we can do

0:19:14.119 --> 0:19:16.520
<v Speaker 5>secondary stuff like obviously an in person interview or other

0:19:16.560 --> 0:19:18.560
<v Speaker 5>things to make sure that you know, you're actually a

0:19:18.600 --> 0:19:20.720
<v Speaker 5>good fit for the organization. So that's kind of thing.

0:19:20.760 --> 0:19:22.040
<v Speaker 5>The more when we have to do on the front end,

0:19:22.280 --> 0:19:23.280
<v Speaker 5>does that make sense at least?

0:19:23.280 --> 0:19:25.840
<v Speaker 3>And kind of you know, yeah, it totally does. It

0:19:25.920 --> 0:19:28.840
<v Speaker 3>is kind of wild to think that, you know, last

0:19:28.960 --> 0:19:32.080
<v Speaker 3>year or a few years ago or just four months ago.

0:19:32.440 --> 0:19:35.600
<v Speaker 3>Joe and I could literally say that we're like, I'm

0:19:35.640 --> 0:19:36.760
<v Speaker 3>hunting experts.

0:19:36.960 --> 0:19:38.200
<v Speaker 4>I'm a ten X engineer.

0:19:38.359 --> 0:19:41.920
<v Speaker 3>Yeah, that's right, and apply I know, I'm a cokeball expert.

0:19:42.240 --> 0:19:43.160
<v Speaker 3>Cobyl COBBYL.

0:19:43.200 --> 0:19:45.680
<v Speaker 5>I can never write cobol expert, would be very much

0:19:45.680 --> 0:19:49.560
<v Speaker 5>in demands. Coball, cobyl, Cobalt is Cobalt is the mineral.

0:19:49.600 --> 0:19:51.200
<v Speaker 5>There's a cobalt mineral.

0:19:51.920 --> 0:19:53.679
<v Speaker 4>Yeah, I never know if it's cobble.

0:19:53.960 --> 0:19:57.040
<v Speaker 3>I want to say cobble because it's like cobbled together

0:19:57.280 --> 0:19:58.639
<v Speaker 3>on across IT systems.

0:19:58.840 --> 0:20:01.399
<v Speaker 5>Oh, that's actually really good. Okay, I didn't think about that.

0:20:01.440 --> 0:20:05.240
<v Speaker 2>Okay, actually, but on the second part of Tracy's question, Okay,

0:20:05.240 --> 0:20:07.320
<v Speaker 2>so once they're in, once they're in the office, and

0:20:07.359 --> 0:20:10.560
<v Speaker 2>again because it's not a for profit entity, like, how

0:20:10.600 --> 0:20:13.359
<v Speaker 2>do we current how does the government currently go about

0:20:13.359 --> 0:20:16.359
<v Speaker 2>evaluating how someone did this year? And what would be

0:20:16.440 --> 0:20:19.520
<v Speaker 2>the optimal way for the government to evaluate how productive

0:20:19.560 --> 0:20:21.320
<v Speaker 2>someone there there is? And they're saying, and this is

0:20:21.359 --> 0:20:23.800
<v Speaker 2>a problem in private sector too. I'm pretty sure that

0:20:23.840 --> 0:20:26.600
<v Speaker 2>if you went into facebooks or Google, et cetera, they

0:20:26.600 --> 0:20:30.000
<v Speaker 2>would also not have a clean answer of like which

0:20:30.160 --> 0:20:33.240
<v Speaker 2>software engineer is more productive or core attributed more value

0:20:33.280 --> 0:20:33.880
<v Speaker 2>than the other one.

0:20:34.960 --> 0:20:36.720
<v Speaker 5>Yeah, no, you're upsote. Right. Look, this is not a

0:20:36.720 --> 0:20:38.560
<v Speaker 5>problem that's unique at the government. But what I think

0:20:38.680 --> 0:20:42.240
<v Speaker 5>is unique to the government is historically, basically everybody gets

0:20:42.280 --> 0:20:44.560
<v Speaker 5>an A in government. To give you a perspective, most

0:20:44.600 --> 0:20:46.840
<v Speaker 5>agencies rank people one through five at the end of

0:20:46.880 --> 0:20:48.960
<v Speaker 5>the year on their performances, one being the worst and

0:20:49.000 --> 0:20:51.880
<v Speaker 5>five being the best. And if you look historically over

0:20:51.960 --> 0:20:55.040
<v Speaker 5>long periods of time in government, about eighty plus percent

0:20:55.080 --> 0:20:57.359
<v Speaker 5>of people get ranked A four or five. Okay, so

0:20:57.640 --> 0:21:00.199
<v Speaker 5>meaning basically, you know, everybody is in you know, kind

0:21:00.200 --> 0:21:03.399
<v Speaker 5>of like Globa gone and well well above average. And

0:21:03.440 --> 0:21:06.240
<v Speaker 5>then about zero point two percent of federal workers get

0:21:06.320 --> 0:21:09.160
<v Speaker 5>ranked A one or two, meaning that you're performing below expectations.

0:21:09.480 --> 0:21:12.320
<v Speaker 5>So number one, like, we've had no system that actually

0:21:12.800 --> 0:21:16.399
<v Speaker 5>recognizes like outstanding performance and quite frankly unfortunately, no system

0:21:16.400 --> 0:21:19.000
<v Speaker 5>that actually holds accountability on the other end of the spectrum.

0:21:19.160 --> 0:21:21.480
<v Speaker 5>We're changing that. We've already put out regulations for the

0:21:21.520 --> 0:21:23.679
<v Speaker 5>most senior executives what are called the sees, which are

0:21:23.680 --> 0:21:27.280
<v Speaker 5>the most senior executives, where we effectively. For the SEES

0:21:27.359 --> 0:21:30.240
<v Speaker 5>have put out a regulation that requires a forced distribution,

0:21:30.320 --> 0:21:33.360
<v Speaker 5>so a cap of thirty percent of fours and five rankings,

0:21:34.000 --> 0:21:36.679
<v Speaker 5>which we think is appropriate to actually distinguish people, you know,

0:21:36.720 --> 0:21:39.639
<v Speaker 5>in terms of their performance. So number one is we

0:21:39.720 --> 0:21:42.040
<v Speaker 5>got to reform the system, period and we're working on

0:21:42.080 --> 0:21:44.000
<v Speaker 5>that and you'll see more regulation from us. In that

0:21:44.320 --> 0:21:46.480
<v Speaker 5>number two, you're actually right, which is look like sometimes

0:21:46.520 --> 0:21:48.240
<v Speaker 5>the metrics are hard, right, so you know, you don't

0:21:48.240 --> 0:21:50.280
<v Speaker 5>really want to measure like lines of code that somebody

0:21:50.320 --> 0:21:53.280
<v Speaker 5>produces because obviously all code is not created equal. But

0:21:54.119 --> 0:21:56.040
<v Speaker 5>you know, what I think does work in the private

0:21:56.080 --> 0:21:59.480
<v Speaker 5>sector is, look, managers are responsible for their frontline workers.

0:21:59.480 --> 0:22:01.720
<v Speaker 5>They meet with one on one, they have you know, weekly,

0:22:01.800 --> 0:22:03.639
<v Speaker 5>they have a sense of what they're doing. They provide

0:22:03.640 --> 0:22:06.520
<v Speaker 5>feedback along the way, like I think the performance management

0:22:06.560 --> 0:22:09.199
<v Speaker 5>ongoing process works better in the private sector. In the

0:22:09.200 --> 0:22:12.159
<v Speaker 5>public sector, what I found is instead of managers, we

0:22:12.240 --> 0:22:15.800
<v Speaker 5>use the term supervisor, which I think actually unfortunately does

0:22:15.840 --> 0:22:17.640
<v Speaker 5>a disservice to what the job is. Like, I don't

0:22:17.640 --> 0:22:20.240
<v Speaker 5>think the job is necessarily supervision. The job is to manage,

0:22:20.280 --> 0:22:22.439
<v Speaker 5>meaning are they working on the right stuff, are they

0:22:22.440 --> 0:22:24.159
<v Speaker 5>doing the right things. Do they need training for this

0:22:24.240 --> 0:22:26.640
<v Speaker 5>kind of stuff, And historically we haven't done a great

0:22:26.720 --> 0:22:28.199
<v Speaker 5>job on that. So one of the things that we

0:22:28.280 --> 0:22:29.720
<v Speaker 5>just did, for example, is we just rolled out a

0:22:29.720 --> 0:22:33.639
<v Speaker 5>brand new training program that's mandatory for all supervisors specific

0:22:33.640 --> 0:22:35.960
<v Speaker 5>to this issue on performance management, so to teach them

0:22:36.280 --> 0:22:38.879
<v Speaker 5>like what does a one on one look like? You know,

0:22:38.880 --> 0:22:40.520
<v Speaker 5>those of us who go up in the technology industry.

0:22:40.720 --> 0:22:42.520
<v Speaker 5>The first book that we were all assigned to read

0:22:42.760 --> 0:22:46.040
<v Speaker 5>was Andy Groves Only the Paranoids Survive, which I still

0:22:46.040 --> 0:22:47.920
<v Speaker 5>think is a fantastic book. I don't know if y'all

0:22:47.920 --> 0:22:50.960
<v Speaker 5>have read it. It's actually a really all I have read it.

0:22:51.359 --> 0:22:53.040
<v Speaker 4>Yeah, keep going, Yeah.

0:22:52.960 --> 0:22:54.960
<v Speaker 5>I mean basically, he literally talks about like what is

0:22:54.960 --> 0:22:57.560
<v Speaker 5>a one on one meeting with your you know, team member,

0:22:57.600 --> 0:22:59.520
<v Speaker 5>Like what should it look like? And it's like, you know,

0:22:59.640 --> 0:23:02.200
<v Speaker 5>it's very much like management one on one stuff. But

0:23:02.200 --> 0:23:03.920
<v Speaker 5>I think the understands or is like, most people don't

0:23:03.960 --> 0:23:05.919
<v Speaker 5>get that training, and so as a result, we have

0:23:06.000 --> 0:23:08.680
<v Speaker 5>had a performance management culture where we have inflated grades

0:23:08.720 --> 0:23:11.720
<v Speaker 5>and we have basically once or maybe maximum twice a

0:23:11.760 --> 0:23:14.000
<v Speaker 5>year people actually get feedback. So it's totally unfair to

0:23:14.040 --> 0:23:17.040
<v Speaker 5>the employee and it's also just unfair to top performers

0:23:17.040 --> 0:23:20.240
<v Speaker 5>who are not actually getting differentiated reviews and differentiated compensation.

0:23:20.960 --> 0:23:22.879
<v Speaker 3>I was just about to ask, just to be one

0:23:22.960 --> 0:23:26.800
<v Speaker 3>hundred percent clear, compensation is going to be tied to performance.

0:23:27.200 --> 0:23:30.320
<v Speaker 5>Correct, Okay, correct, yes, all right, yes, And again it's

0:23:30.320 --> 0:23:31.960
<v Speaker 5>not that it hasn't been before. But the problem is

0:23:32.000 --> 0:23:33.600
<v Speaker 5>if everybody's a four and a five and you have

0:23:33.640 --> 0:23:36.680
<v Speaker 5>a finite bonus pool, then you're peanut buttering out the

0:23:36.760 --> 0:23:39.240
<v Speaker 5>bonuses basically. So like, yeah, just you know, Tracey, just

0:23:39.320 --> 0:23:40.919
<v Speaker 5>give me a sense. Like when we gave guidance on

0:23:40.960 --> 0:23:43.720
<v Speaker 5>this sees these very senior executives, what we said is

0:23:43.720 --> 0:23:46.719
<v Speaker 5>a thirty percent cap. We also said we think sixty

0:23:46.760 --> 0:23:48.960
<v Speaker 5>percent of the bonus based compensation should go to those

0:23:49.000 --> 0:23:51.960
<v Speaker 5>that thirty percent of the individuals. And you know that's

0:23:52.000 --> 0:23:53.920
<v Speaker 5>a you know, we can argue whether it's sixty percent

0:23:53.960 --> 0:23:56.760
<v Speaker 5>or eighty percent, but the point is, like, let's let's

0:23:56.800 --> 0:23:59.840
<v Speaker 5>actually really pay per performance, and let's differentiate compensation as

0:23:59.840 --> 0:24:02.199
<v Speaker 5>a posed to giving everybody a three hundred or five

0:24:02.280 --> 0:24:04.479
<v Speaker 5>hundred dollars bonus, which in the scheme of things, has

0:24:04.520 --> 0:24:06.520
<v Speaker 5>little retentive or incentive value for employees.

0:24:07.080 --> 0:24:10.840
<v Speaker 3>So you mentioned project management just then, and I was

0:24:10.880 --> 0:24:13.760
<v Speaker 3>looking at some of the press releases and documentation that

0:24:13.800 --> 0:24:15.720
<v Speaker 3>you put out as part of this program, and there

0:24:15.760 --> 0:24:20.040
<v Speaker 3>really is an emphasis on getting project managers, and I

0:24:20.080 --> 0:24:23.480
<v Speaker 3>am very curious why that particular role seems to be

0:24:23.680 --> 0:24:27.160
<v Speaker 3>in short supply, because I know someone who moved from

0:24:27.200 --> 0:24:31.360
<v Speaker 3>a completely different industry into project management for a graphic

0:24:31.400 --> 0:24:34.240
<v Speaker 3>design company. They had never done it before, and it

0:24:35.000 --> 0:24:36.200
<v Speaker 3>didn't seem that hard.

0:24:38.760 --> 0:24:41.480
<v Speaker 5>Okay, So I'm going to distinguish between project management and

0:24:41.640 --> 0:24:45.520
<v Speaker 5>product management, which is I hope we wrote product management

0:24:45.560 --> 0:24:47.080
<v Speaker 5>in the in our in our Stone.

0:24:47.119 --> 0:24:48.119
<v Speaker 3>So did I miss read it?

0:24:49.240 --> 0:24:50.840
<v Speaker 5>Well, I don't know that you didn't matter. We may

0:24:51.160 --> 0:24:53.280
<v Speaker 5>have put it in there. But what we need is

0:24:53.280 --> 0:24:55.760
<v Speaker 5>what I would call a product manager job, which is,

0:24:55.800 --> 0:24:58.479
<v Speaker 5>you know, a product manager, in my mind, is basically

0:24:58.480 --> 0:25:01.119
<v Speaker 5>somebody who sometimes they ca from an engineering background. They

0:25:01.160 --> 0:25:03.200
<v Speaker 5>might actually have been developers themselves, but they're kind of

0:25:03.200 --> 0:25:05.720
<v Speaker 5>people who sit between the engineering organization and the end

0:25:05.800 --> 0:25:09.040
<v Speaker 5>user customer and they listen to the customer and say, great, okay,

0:25:09.040 --> 0:25:10.800
<v Speaker 5>tell me your problems. What are you trying to solve?

0:25:10.800 --> 0:25:13.280
<v Speaker 5>And their job is kind of to translate that into

0:25:13.359 --> 0:25:16.320
<v Speaker 5>ultimately in tech speak, what we'd call a PRD a

0:25:16.359 --> 0:25:19.399
<v Speaker 5>project requirements document for the engineers to develop against. So

0:25:19.520 --> 0:25:21.000
<v Speaker 5>like that's the role we need. So in a well

0:25:21.040 --> 0:25:25.600
<v Speaker 5>functioning engineering organization, you have developers, you have designers, uh,

0:25:25.640 --> 0:25:28.280
<v Speaker 5>and then you have product managers. And the product managers

0:25:28.280 --> 0:25:30.679
<v Speaker 5>probably aren't puting their hands on the keyboard actually you know,

0:25:30.840 --> 0:25:33.479
<v Speaker 5>you know typing, you know, ones and zeros, but they

0:25:33.520 --> 0:25:36.600
<v Speaker 5>are literally that go between between like the end user

0:25:36.640 --> 0:25:39.360
<v Speaker 5>customer and then the requirements that ultimately drive the development process.

0:25:40.080 --> 0:25:40.720
<v Speaker 4>It's interesting.

0:25:40.760 --> 0:25:43.639
<v Speaker 2>I feel like that's something I've really come to appreciate

0:25:43.800 --> 0:25:48.560
<v Speaker 2>in working for a large organization, how valuable translation skills are,

0:25:48.600 --> 0:25:50.359
<v Speaker 2>because you have this one part of the room that

0:25:50.440 --> 0:25:53.399
<v Speaker 2>knows one very specific thing, and then there's these generalists

0:25:53.400 --> 0:25:55.200
<v Speaker 2>on the other end that have some vague thing, and

0:25:55.240 --> 0:25:57.440
<v Speaker 2>that person who could sit in the middle and talk

0:25:57.520 --> 0:26:02.320
<v Speaker 2>to both sides is clearly a very is a valuable person.

0:26:02.200 --> 0:26:02.399
<v Speaker 5>You know.

0:26:02.760 --> 0:26:06.879
<v Speaker 2>So you mentioned, like the one thing that comes up

0:26:06.920 --> 0:26:10.280
<v Speaker 2>a lot in a common theme on our podcast is

0:26:10.280 --> 0:26:14.560
<v Speaker 2>like the importance of this sort of like tacit organizational knowledge.

0:26:14.680 --> 0:26:17.800
<v Speaker 2>Things that are like cannot simply be written down. They

0:26:17.800 --> 0:26:21.119
<v Speaker 2>do not exist necessarily in one person's head. They're just

0:26:21.160 --> 0:26:23.960
<v Speaker 2>things that are sort of collectively known process knowledge and

0:26:24.040 --> 0:26:27.800
<v Speaker 2>so forth. How do you think about that in light

0:26:27.840 --> 0:26:31.680
<v Speaker 2>of the fact that these are two year roles and

0:26:31.920 --> 0:26:35.520
<v Speaker 2>you know, again maybe in some cases someone will do

0:26:35.600 --> 0:26:38.120
<v Speaker 2>two years and then continue their career in the federal government,

0:26:38.400 --> 0:26:41.080
<v Speaker 2>but that but you know, especially given the pay gap

0:26:41.119 --> 0:26:45.560
<v Speaker 2>that emerges specifically for technologists, like that's probably you're taking

0:26:45.560 --> 0:26:47.600
<v Speaker 2>on the one area where the pay gap probably gets

0:26:47.600 --> 0:26:51.640
<v Speaker 2>the widest over time. How do you think about fostering,

0:26:53.080 --> 0:26:57.919
<v Speaker 2>fostering and maintaining that kind of knowledge, especially given what

0:26:57.960 --> 0:26:59.720
<v Speaker 2>you laid out at the very beginning, which is this,

0:27:00.240 --> 0:27:01.840
<v Speaker 2>I don't know if crisis is the right word, but

0:27:01.880 --> 0:27:05.240
<v Speaker 2>these looming retirement of all these people that do have

0:27:05.359 --> 0:27:07.760
<v Speaker 2>years of accumulated knowledge about how things really work.

0:27:09.119 --> 0:27:11.560
<v Speaker 5>Yeah, so you're absolutely right, which is, look, we have

0:27:11.600 --> 0:27:13.560
<v Speaker 5>to balance kind of the two year time period against

0:27:13.640 --> 0:27:16.640
<v Speaker 5>the need for actually the organization being able to maintain

0:27:17.240 --> 0:27:19.280
<v Speaker 5>these systems once people leave. So let me just give it.

0:27:19.280 --> 0:27:21.040
<v Speaker 5>I'll give you a real world example, Joe, just so

0:27:21.040 --> 0:27:23.119
<v Speaker 5>you have it because it might be helpful. So in

0:27:23.160 --> 0:27:25.919
<v Speaker 5>my organization o PM, we own the retirement process and

0:27:25.960 --> 0:27:29.119
<v Speaker 5>retirement for you know, several million and new attempts. Basically

0:27:29.119 --> 0:27:31.640
<v Speaker 5>who have you know, kind of completed their professional careers

0:27:32.080 --> 0:27:34.000
<v Speaker 5>and we are completely it's a very I won't go

0:27:34.040 --> 0:27:35.920
<v Speaker 5>into the details I want for you, but there's literally

0:27:36.000 --> 0:27:38.840
<v Speaker 5>it's a like a ridiculously manual paper based process where

0:27:38.880 --> 0:27:41.680
<v Speaker 5>for years we have had people literally filling out paper

0:27:41.720 --> 0:27:45.360
<v Speaker 5>applications as recently as the beginning of this year and

0:27:45.480 --> 0:27:47.720
<v Speaker 5>sending paper by postal mail and all kinds of stuff.

0:27:47.720 --> 0:27:51.040
<v Speaker 5>And we literally have a mine in Bowyers, Pennsylvania, which

0:27:51.080 --> 0:27:52.879
<v Speaker 5>is very fun if you ever want to come see it,

0:27:53.119 --> 0:27:55.560
<v Speaker 5>where we have hundreds of millions of file cabinets of

0:27:55.600 --> 0:27:56.720
<v Speaker 5>people's retirement records.

0:27:57.160 --> 0:27:58.720
<v Speaker 4>So we'd love to I would love to.

0:27:58.800 --> 0:28:01.040
<v Speaker 2>I've always wanted to go like those those like huge

0:28:01.080 --> 0:28:03.320
<v Speaker 2>like under mountain like big.

0:28:03.520 --> 0:28:07.480
<v Speaker 4>Yes, that's literally very lo it is. I I'd love to.

0:28:07.480 --> 0:28:10.240
<v Speaker 3>Check warehouse for government.

0:28:10.840 --> 0:28:13.520
<v Speaker 2>I've always wanted to check out on these places. We'll

0:28:13.600 --> 0:28:16.280
<v Speaker 2>arrange that, all.

0:28:15.280 --> 0:28:17.879
<v Speaker 5>Right, we're gonna we're gonna work on that one together. Anyways.

0:28:17.920 --> 0:28:20.159
<v Speaker 5>I bring that up to say, Okay, so look, we've luckily,

0:28:20.359 --> 0:28:24.000
<v Speaker 5>uh we've had a small team of developers Joe Jebbia,

0:28:24.080 --> 0:28:25.840
<v Speaker 5>who you guys may recognize the name. He's a co

0:28:25.920 --> 0:28:28.840
<v Speaker 5>founder for Airbnb. He joined the administration even actually before

0:28:28.880 --> 0:28:30.800
<v Speaker 5>I got there, but he's been he's been kind of

0:28:30.800 --> 0:28:33.240
<v Speaker 5>housed in o PM, and he has like a team

0:28:33.280 --> 0:28:36.639
<v Speaker 5>of like three developers and you know, a design person,

0:28:37.040 --> 0:28:39.920
<v Speaker 5>and they've been completely redesigning this retirement application. So we

0:28:40.000 --> 0:28:42.640
<v Speaker 5>now have what we call ORA, the Online Retirement Application,

0:28:42.720 --> 0:28:45.400
<v Speaker 5>where instead of paper, people actually can go, you know,

0:28:45.480 --> 0:28:47.760
<v Speaker 5>in the year twenty twenty five onto a you know

0:28:47.800 --> 0:28:50.680
<v Speaker 5>computer and and you know, type in their Apple their information,

0:28:50.760 --> 0:28:52.880
<v Speaker 5>upload their documents, it gets routed to the HR and

0:28:52.920 --> 0:28:54.960
<v Speaker 5>it's you know, it's you know, vastly better than what

0:28:54.960 --> 0:28:56.880
<v Speaker 5>we've had. So I bring this up to say, look,

0:28:56.920 --> 0:28:58.880
<v Speaker 5>I think this is me is a good example, which

0:28:58.880 --> 0:29:00.320
<v Speaker 5>is all those people are going to disappear at some

0:29:00.320 --> 0:29:03.040
<v Speaker 5>point in time, and then the responsibility for that application

0:29:03.120 --> 0:29:05.960
<v Speaker 5>is going to shift to the existing CIO organization within

0:29:06.000 --> 0:29:09.040
<v Speaker 5>OPM to maintain it, to integrate it with other systems.

0:29:09.400 --> 0:29:11.840
<v Speaker 5>And so a requirement of being able to do that

0:29:11.880 --> 0:29:13.720
<v Speaker 5>development process for Joe and his team is, Look, they

0:29:13.720 --> 0:29:15.760
<v Speaker 5>have to do documentation, they have to do training of

0:29:15.760 --> 0:29:18.200
<v Speaker 5>the team. Look, I think it's not an insurmountable problem.

0:29:18.240 --> 0:29:20.080
<v Speaker 5>I just think it means, as part of your process,

0:29:20.160 --> 0:29:22.360
<v Speaker 5>you just have to anticipate that there is going to

0:29:22.360 --> 0:29:24.120
<v Speaker 5>be a time where people are going to disappear. And

0:29:24.200 --> 0:29:26.160
<v Speaker 5>quite frankly, it's a smart thing to do anyways, because

0:29:26.160 --> 0:29:27.880
<v Speaker 5>we just know and look, this happens in private companies

0:29:27.880 --> 0:29:30.640
<v Speaker 5>all the time. Look people's average tenure in private companies.

0:29:30.640 --> 0:29:32.360
<v Speaker 5>I can tell you in Silicon Valley it's way less

0:29:32.360 --> 0:29:33.920
<v Speaker 5>than four years, is what the average tenure of an

0:29:33.960 --> 0:29:36.680
<v Speaker 5>engineer is. So these are not new things. They are

0:29:36.720 --> 0:29:38.760
<v Speaker 5>new things to the government, which is this idea of

0:29:38.840 --> 0:29:41.400
<v Speaker 5>kind of knowledge capture and knowledge management, you know, kind

0:29:41.400 --> 0:29:42.800
<v Speaker 5>of in light of the fact that people might not

0:29:42.840 --> 0:29:45.000
<v Speaker 5>be there for their entire career. But I think it

0:29:45.080 --> 0:29:47.240
<v Speaker 5>just means, as we've designed this program that we have

0:29:47.280 --> 0:29:49.680
<v Speaker 5>to have the appropriate level of documentation, of integration of

0:29:49.760 --> 0:29:51.520
<v Speaker 5>source code notes and all those things that are you know,

0:29:51.560 --> 0:29:54.120
<v Speaker 5>you would do in a normal circumstance to recognize that.

0:29:54.240 --> 0:29:56.000
<v Speaker 5>Now look at Joe in the perfect world. I hope

0:29:56.040 --> 0:29:57.600
<v Speaker 5>people love it and they're like, wow, this is this

0:29:57.640 --> 0:29:59.000
<v Speaker 5>is exactly where I want to spend the rest of

0:29:59.040 --> 0:30:00.640
<v Speaker 5>my life, and that's awesome. Want to do that like

0:30:00.680 --> 0:30:02.640
<v Speaker 5>we want to keep them in government, but you know,

0:30:02.680 --> 0:30:04.400
<v Speaker 5>I think we'll also have to deal with the practical

0:30:04.400 --> 0:30:07.880
<v Speaker 5>realities that you know, the current generation of you know,

0:30:07.960 --> 0:30:10.760
<v Speaker 5>people are not thinking about you know, three, five, ten

0:30:10.800 --> 0:30:13.720
<v Speaker 5>year you know, employments basically think things are much more

0:30:13.720 --> 0:30:14.160
<v Speaker 5>clearer than that.

0:30:30.520 --> 0:30:34.120
<v Speaker 3>What are you doing to streamline the operational side of

0:30:34.160 --> 0:30:38.760
<v Speaker 3>the process, because I imagine you mentioned culture before. If

0:30:38.760 --> 0:30:42.960
<v Speaker 3>the pitches come work for government, it's important, but you're

0:30:43.000 --> 0:30:45.160
<v Speaker 3>going to be lower paid and you're going to have

0:30:45.200 --> 0:30:49.000
<v Speaker 3>to constantly deal with paperwork and put together you know

0:30:49.200 --> 0:30:52.600
<v Speaker 3>RFPs that have seven thousand requirements and things like that.

0:30:52.600 --> 0:30:55.560
<v Speaker 3>That that's a tough sell to someone who's used to

0:30:55.640 --> 0:30:58.360
<v Speaker 3>the whole move fast and break things culture.

0:30:59.800 --> 0:31:02.920
<v Speaker 5>Yeah, So anyways, let me just be totally clear, which

0:31:03.000 --> 0:31:04.920
<v Speaker 5>is we are not going to move fast and break

0:31:04.960 --> 0:31:08.120
<v Speaker 5>things because we can't quite do that. In government. We

0:31:08.160 --> 0:31:10.800
<v Speaker 5>can move faster than we currently do, and we can

0:31:10.840 --> 0:31:14.200
<v Speaker 5>afford to take some risk, but we generally don't want

0:31:14.200 --> 0:31:16.200
<v Speaker 5>to break things because you know, people do need to

0:31:16.200 --> 0:31:18.080
<v Speaker 5>get their Social Security checks and you know, the IRS

0:31:18.160 --> 0:31:19.920
<v Speaker 5>needs to actually make sure you get your tax refunds.

0:31:19.920 --> 0:31:22.719
<v Speaker 5>So but it's a great it's a great question so look,

0:31:22.760 --> 0:31:24.719
<v Speaker 5>there's a couple of things that we're doing both inside

0:31:24.760 --> 0:31:27.120
<v Speaker 5>and outside this program. So outside the program more generally,

0:31:27.520 --> 0:31:29.440
<v Speaker 5>one are the big things that OPM is driving along

0:31:29.480 --> 0:31:31.840
<v Speaker 5>with OMB, you know, kind of the offseome management budget

0:31:31.880 --> 0:31:34.960
<v Speaker 5>is we're working with all the agencies to basically what

0:31:34.960 --> 0:31:38.120
<v Speaker 5>I would call do headcount planning and reshape the priorities

0:31:38.120 --> 0:31:40.880
<v Speaker 5>for the organization. So there's a huge amount of government

0:31:40.920 --> 0:31:42.560
<v Speaker 5>is very good about adding things to the plate, and

0:31:42.600 --> 0:31:45.360
<v Speaker 5>they're very bad about actually ever taking anything off. So

0:31:45.440 --> 0:31:48.400
<v Speaker 5>every time something new comes down from Congress, we add

0:31:48.440 --> 0:31:50.280
<v Speaker 5>you know, thousands of more people, We add stuff to

0:31:50.320 --> 0:31:52.000
<v Speaker 5>the plate. And then we have this list now of

0:31:52.040 --> 0:31:54.600
<v Speaker 5>twenty things, probably five of which we've been doing for

0:31:54.600 --> 0:31:56.720
<v Speaker 5>twenty years, and quite frankly, nobody even remembers while we're

0:31:56.720 --> 0:31:59.080
<v Speaker 5>doing them anymore. They've just now become like, you know,

0:31:59.240 --> 0:32:02.320
<v Speaker 5>embedded into our culture. So part of the exercise in

0:32:02.440 --> 0:32:04.280
<v Speaker 5>order to kind of make the throughput faster and to

0:32:04.280 --> 0:32:06.280
<v Speaker 5>make sure that an engineer isn't like sitting on their

0:32:06.320 --> 0:32:10.239
<v Speaker 5>hands dealing with you know, crazy bureaucracy, is we have

0:32:10.280 --> 0:32:12.480
<v Speaker 5>to go back and look at prioritization and actually remove

0:32:12.520 --> 0:32:15.000
<v Speaker 5>services that are no longer statutory, and they're no longer

0:32:15.080 --> 0:32:18.080
<v Speaker 5>valuable to the American people. So that's the exercise we've started.

0:32:18.080 --> 0:32:20.560
<v Speaker 5>That's the exercise that we're kind of is ongoing right now.

0:32:20.880 --> 0:32:23.080
<v Speaker 5>But the purpose of that will be not only to

0:32:23.080 --> 0:32:24.640
<v Speaker 5>make sure that we're hopefully spending our money in the

0:32:24.720 --> 0:32:27.400
<v Speaker 5>right places, but will also be to remove layers that

0:32:27.520 --> 0:32:30.840
<v Speaker 5>ultimately slow down the actual work product of government. The

0:32:30.880 --> 0:32:34.080
<v Speaker 5>second thing we can do is, as I mentioned, we're

0:32:34.160 --> 0:32:36.720
<v Speaker 5>really trying to kind of change the performance management culture

0:32:36.720 --> 0:32:39.640
<v Speaker 5>in government and eliminate barriers to people being able to

0:32:39.680 --> 0:32:42.000
<v Speaker 5>move through the organization and change the idea that you

0:32:42.040 --> 0:32:43.880
<v Speaker 5>can't take any risk. I mean, obviously that's a big

0:32:43.920 --> 0:32:46.600
<v Speaker 5>cultural challenge that we have in government. So everything from

0:32:46.680 --> 0:32:48.840
<v Speaker 5>down to like what your performance plan look like. Your

0:32:48.840 --> 0:32:52.160
<v Speaker 5>performance plan should have, you know, efficiency, it should have

0:32:52.280 --> 0:32:54.200
<v Speaker 5>you know, some measured amount of risk taking in there.

0:32:54.240 --> 0:32:56.480
<v Speaker 5>So things that again will speed the pace of deployment

0:32:56.560 --> 0:33:00.200
<v Speaker 5>and makes sense. The third thing we're doing is and

0:33:00.240 --> 0:33:01.600
<v Speaker 5>this is again you guys asked me, you know, how

0:33:01.720 --> 0:33:04.280
<v Speaker 5>is this program different from other programs. As we hire

0:33:04.280 --> 0:33:07.960
<v Speaker 5>these thousand engineers, ultimately they will live in various agencies. Right, So,

0:33:08.800 --> 0:33:10.960
<v Speaker 5>doctor oz At CMS says, you know, it's like, look,

0:33:10.960 --> 0:33:13.000
<v Speaker 5>I need seventy five engineers to do you know, kind

0:33:13.040 --> 0:33:16.240
<v Speaker 5>of important projects there or obviously Department of War you know,

0:33:16.480 --> 0:33:18.360
<v Speaker 5>have lots of stuff, so they're going to live in

0:33:18.360 --> 0:33:20.000
<v Speaker 5>those agencies. But what we're not going to do, which

0:33:20.080 --> 0:33:22.120
<v Speaker 5>is historically where I think these programs has failed, is

0:33:22.160 --> 0:33:25.200
<v Speaker 5>if you drop these teams just into the blob that

0:33:25.400 --> 0:33:28.040
<v Speaker 5>is the federal government, they're going to have a terrible

0:33:28.080 --> 0:33:30.320
<v Speaker 5>experience and they're going to get lost, and they'll their

0:33:30.320 --> 0:33:32.360
<v Speaker 5>two years will literally go by without them actually having

0:33:32.400 --> 0:33:35.400
<v Speaker 5>accomplished anything. So our whole goal with this is keep

0:33:35.440 --> 0:33:37.640
<v Speaker 5>these teams together. So when you know what I'm what

0:33:37.680 --> 0:33:40.080
<v Speaker 5>I'm hoping from doctor Oz is there's going to be

0:33:40.080 --> 0:33:41.920
<v Speaker 5>a team of seventy five engineers who are going to

0:33:41.920 --> 0:33:43.560
<v Speaker 5>be a team, and they're going to work on the

0:33:43.560 --> 0:33:46.040
<v Speaker 5>projects that he thinks are the most important projects. And

0:33:46.120 --> 0:33:48.760
<v Speaker 5>of course they have to integrate with the existing CIO

0:33:48.880 --> 0:33:51.120
<v Speaker 5>organization because so much of what we do has integration

0:33:51.200 --> 0:33:53.880
<v Speaker 5>back ends and all that kind of stuff. But we've

0:33:53.880 --> 0:33:56.680
<v Speaker 5>got to make sure that that happens because otherwise, you know,

0:33:56.800 --> 0:33:59.200
<v Speaker 5>you hire a random you know, intern to and you

0:33:59.240 --> 0:34:02.000
<v Speaker 5>PLoP them into ananization and they get swallowed by the beast. Basically,

0:34:02.000 --> 0:34:05.080
<v Speaker 5>it's just it's understandable why that happens. So we've got

0:34:05.080 --> 0:34:07.520
<v Speaker 5>to think about the organizational implications of bringing people in

0:34:07.560 --> 0:34:09.719
<v Speaker 5>and make sure they're set up for success. And you know,

0:34:09.880 --> 0:34:12.239
<v Speaker 5>my expectations are and certainly the conversations that I've had

0:34:12.239 --> 0:34:14.160
<v Speaker 5>with all the agency heads are that they understand that,

0:34:14.480 --> 0:34:16.360
<v Speaker 5>and they understand that for them to achieve what they

0:34:16.440 --> 0:34:19.120
<v Speaker 5>want to do, they have to create the organizational structure

0:34:19.200 --> 0:34:21.360
<v Speaker 5>that enables these guys to actually do what they're there for.

0:34:22.120 --> 0:34:23.799
<v Speaker 2>Yeah, I think that this is another thing that we

0:34:23.800 --> 0:34:28.080
<v Speaker 2>could probably say from firsthand experience, is you come to

0:34:28.120 --> 0:34:31.120
<v Speaker 2>a big organization, You've spent a long time, maybe the

0:34:31.200 --> 0:34:34.040
<v Speaker 2>first year of just getting to know the lay of

0:34:34.080 --> 0:34:36.080
<v Speaker 2>the land, who are the people that you should talk to,

0:34:36.160 --> 0:34:39.160
<v Speaker 2>et cetera. It's a real challenge. It's a real challenge

0:34:39.160 --> 0:34:42.000
<v Speaker 2>being effective of actually accomplishing anything.

0:34:42.080 --> 0:34:44.719
<v Speaker 4>The amount of time. I mean, I've been a bloomberg and.

0:34:44.680 --> 0:34:45.600
<v Speaker 3>There's all experience.

0:34:45.719 --> 0:34:47.480
<v Speaker 2>Yeah, they're still I've been here ten years. That there

0:34:47.560 --> 0:34:49.040
<v Speaker 2>is like who do I call it? It's just like

0:34:49.080 --> 0:34:52.440
<v Speaker 2>the nature of large organizations. I want to talk about

0:34:52.520 --> 0:34:54.680
<v Speaker 2>you know, people who you say, Okay, like you, we

0:34:54.719 --> 0:34:56.279
<v Speaker 2>need to do something about the fact that all these

0:34:56.280 --> 0:34:59.040
<v Speaker 2>people are going to retire, and there is this pipeline

0:34:59.080 --> 0:35:03.000
<v Speaker 2>et cetera. Set it aside, optimal levels of how big

0:35:03.200 --> 0:35:07.400
<v Speaker 2>the federal workforce should be, et cetera. One thing that

0:35:07.440 --> 0:35:10.680
<v Speaker 2>I could see as a bit of a problem about

0:35:10.840 --> 0:35:14.279
<v Speaker 2>maintaining careers if federal workers do not feel that they

0:35:14.320 --> 0:35:16.960
<v Speaker 2>are respected in their jobs. And there is a rhetoric

0:35:17.400 --> 0:35:20.160
<v Speaker 2>that is that you hear it's like the federal governments

0:35:20.200 --> 0:35:22.720
<v Speaker 2>they you know again some people it's like, oh, they're leeches,

0:35:23.000 --> 0:35:25.480
<v Speaker 2>they're part of the deep state. They're all look and

0:35:25.600 --> 0:35:28.200
<v Speaker 2>they spend money on this, and that's ways. But even

0:35:28.239 --> 0:35:31.279
<v Speaker 2>that spending looks like what I observe is spending in

0:35:31.280 --> 0:35:34.480
<v Speaker 2>the private sector, et cetera. And then you know, there's

0:35:34.719 --> 0:35:38.920
<v Speaker 2>at least from this administration, there's been these sort of

0:35:39.760 --> 0:35:43.680
<v Speaker 2>seemingly from the outside and probably from the inside, capricious

0:35:43.719 --> 0:35:47.400
<v Speaker 2>layoffs or arbitrary layoffs. And so if you respect this workforce,

0:35:47.960 --> 0:35:51.239
<v Speaker 2>then how how could you possibly have just like cut

0:35:51.320 --> 0:35:53.759
<v Speaker 2>so arbitrarily. I mean, these are this is what it

0:35:54.000 --> 0:35:59.440
<v Speaker 2>seems like when you think about building a talent pipeline.

0:35:59.600 --> 0:36:03.040
<v Speaker 2>Do you think think about this dimension and do agree

0:36:03.120 --> 0:36:05.160
<v Speaker 2>with the sort of premise of the question that it's

0:36:05.160 --> 0:36:07.000
<v Speaker 2>a challenge that no one is going to work at

0:36:07.000 --> 0:36:09.839
<v Speaker 2>a place if their boss is to some extent sort

0:36:09.880 --> 0:36:12.919
<v Speaker 2>of think they're you know, do not respect them.

0:36:13.680 --> 0:36:17.120
<v Speaker 5>Yeah, So the short answer is yes, like absolutely, this

0:36:17.200 --> 0:36:19.520
<v Speaker 5>is a critical part of making sure that the federal

0:36:19.600 --> 0:36:21.960
<v Speaker 5>government is an attractive place for the people who are

0:36:21.960 --> 0:36:23.919
<v Speaker 5>there and also the people who you know, we're trying

0:36:23.920 --> 0:36:26.360
<v Speaker 5>to recruit in. So I got a million thoughts. Let

0:36:26.400 --> 0:36:28.160
<v Speaker 5>me try to see if I can keep them in

0:36:28.200 --> 0:36:31.000
<v Speaker 5>the time we have remaining. So I'll give tell you

0:36:31.040 --> 0:36:32.520
<v Speaker 5>one thing. So just to back up, as you know,

0:36:32.560 --> 0:36:34.440
<v Speaker 5>I've worked at entries in Horowitz and Ben Horowitz, in

0:36:34.480 --> 0:36:37.000
<v Speaker 5>my mind, is one of the best CEO's, best managers

0:36:37.040 --> 0:36:38.920
<v Speaker 5>that I've ever learned from. And I had worked for

0:36:39.040 --> 0:36:41.000
<v Speaker 5>him for literally ten years prior, so for twenty six

0:36:41.080 --> 0:36:42.839
<v Speaker 5>years of my life I've had the benefit of learning

0:36:42.840 --> 0:36:45.120
<v Speaker 5>from Ben. The most important thing I learned from him

0:36:45.280 --> 0:36:47.759
<v Speaker 5>is exactly what you describe, which is when you have

0:36:47.880 --> 0:36:52.080
<v Speaker 5>restructurings in companies, basically you have broken trust with your employees. Okay, so,

0:36:52.640 --> 0:36:54.719
<v Speaker 5>particularly in the startup context, right, Like, you know, when

0:36:54.760 --> 0:36:57.399
<v Speaker 5>we were in startups, we personally recruited every single person

0:36:57.440 --> 0:36:59.520
<v Speaker 5>into that company, and we told them how we were

0:36:59.520 --> 0:37:01.279
<v Speaker 5>going to conquer the world and how awesome we were

0:37:01.280 --> 0:37:02.840
<v Speaker 5>going to be, and we believed that we weren't like

0:37:02.920 --> 0:37:05.520
<v Speaker 5>lying to them. But it turns out we were wrong.

0:37:05.640 --> 0:37:07.440
<v Speaker 5>Like the market change, we didn't have to no money

0:37:07.480 --> 0:37:08.960
<v Speaker 5>and and you know, we had to live through this

0:37:09.040 --> 0:37:11.279
<v Speaker 5>in our loud cloud opsware days we laid we had

0:37:11.320 --> 0:37:13.319
<v Speaker 5>to lay a bunch of people off, and so you've

0:37:13.320 --> 0:37:15.600
<v Speaker 5>immediately broken trust with those employees. So you are from

0:37:15.640 --> 0:37:18.319
<v Speaker 5>that day forward basically in a situation where you have

0:37:18.400 --> 0:37:20.920
<v Speaker 5>to rebuild that trust. Right, so you have to demonstrate

0:37:20.960 --> 0:37:23.640
<v Speaker 5>to them that you know it wasn't capricious and arbitrary,

0:37:23.719 --> 0:37:25.799
<v Speaker 5>and that you're not like lying to them in a jerk,

0:37:25.840 --> 0:37:27.880
<v Speaker 5>but that you actually do care about them. And it

0:37:27.920 --> 0:37:30.000
<v Speaker 5>turns out, through no fault of their own, their next

0:37:30.040 --> 0:37:31.480
<v Speaker 5>door neighbor who sat in the cube next to them

0:37:31.520 --> 0:37:33.960
<v Speaker 5>unfortunately lost their job because like we couldn't afford to

0:37:33.960 --> 0:37:37.319
<v Speaker 5>pay them anymore. So I say that only to say, look,

0:37:37.360 --> 0:37:40.080
<v Speaker 5>I recognize that very clearly. I understand that. And if

0:37:40.120 --> 0:37:42.080
<v Speaker 5>you literally go back to like the testimony I gave

0:37:42.120 --> 0:37:45.200
<v Speaker 5>when I went through my hearing, I said that very splicit.

0:37:45.280 --> 0:37:47.239
<v Speaker 5>I think that's important. All that being said, I think,

0:37:47.280 --> 0:37:49.359
<v Speaker 5>look the way to think about. Let me just give

0:37:49.360 --> 0:37:51.840
<v Speaker 5>you the context of the headcount reductions that happened in

0:37:51.880 --> 0:37:54.120
<v Speaker 5>the government, because I think there is in my mind

0:37:54.120 --> 0:37:55.640
<v Speaker 5>at least some misinformation out there that I think is

0:37:55.680 --> 0:37:57.400
<v Speaker 5>worth talking about. So it'll give you some numbers. You know,

0:37:57.400 --> 0:37:59.719
<v Speaker 5>you've got a very sophisticated audience. As at the end

0:37:59.760 --> 0:38:02.120
<v Speaker 5>of the year, roughly about three hundred and seventeen thousand

0:38:02.120 --> 0:38:05.320
<v Speaker 5>people will have exited the federal government. Okay, we started

0:38:05.320 --> 0:38:07.840
<v Speaker 5>the year at about two point four million ish roughly

0:38:07.960 --> 0:38:10.160
<v Speaker 5>in terms of civilian These are civilian employees, by the way,

0:38:10.200 --> 0:38:12.880
<v Speaker 5>so forget about the armed services, because my organization doesn't

0:38:12.920 --> 0:38:15.759
<v Speaker 5>touch that. About two point four million civilian employees will

0:38:15.800 --> 0:38:18.480
<v Speaker 5>be roughly two point one million civilian employees as of

0:38:18.520 --> 0:38:21.279
<v Speaker 5>December thirty first of this year. At the same time,

0:38:21.320 --> 0:38:23.560
<v Speaker 5>we hired about sixty six thousand employees. So on a

0:38:23.600 --> 0:38:26.160
<v Speaker 5>net basis, call it two hundred and seventy you know,

0:38:26.160 --> 0:38:28.280
<v Speaker 5>two hundred and sixty two hundred and seventy thousand roughly

0:38:28.400 --> 0:38:31.120
<v Speaker 5>kind of net departures from the government. If you go

0:38:31.200 --> 0:38:33.560
<v Speaker 5>back to that three hundred and seventeen thousand, number, ninety

0:38:33.640 --> 0:38:35.880
<v Speaker 5>two and a half percent of those people took some

0:38:36.080 --> 0:38:38.359
<v Speaker 5>form of voluntary retirement. So we had this thing called

0:38:38.400 --> 0:38:41.400
<v Speaker 5>DRP Deferred Resignation Program that was the back that was

0:38:41.440 --> 0:38:43.280
<v Speaker 5>literally half of it. One hundred and fifty four thousand

0:38:43.280 --> 0:38:45.520
<v Speaker 5>people took that, which was an eight month seference that

0:38:45.560 --> 0:38:48.520
<v Speaker 5>we gave to people to voluntarily leave government. And then

0:38:48.520 --> 0:38:50.480
<v Speaker 5>the rest of it was where there are some other programs.

0:38:50.480 --> 0:38:53.359
<v Speaker 5>The acronyms aren't relevant for your for your listeners, they're

0:38:53.360 --> 0:38:55.239
<v Speaker 5>called Viera and VISA if people want to look them up,

0:38:55.440 --> 0:38:58.440
<v Speaker 5>but those are other voluntary kind of you know, retirement programs.

0:38:58.640 --> 0:39:01.040
<v Speaker 5>And then only seven and a half percent of people

0:39:01.080 --> 0:39:05.200
<v Speaker 5>were removed through either rifts or what we call probationary employees,

0:39:05.200 --> 0:39:07.400
<v Speaker 5>which is in the government, if you've been if you've

0:39:07.440 --> 0:39:10.319
<v Speaker 5>been there for one or two years, it depending upon

0:39:10.440 --> 0:39:12.520
<v Speaker 5>the job. You're kind of the closest thing to an

0:39:12.520 --> 0:39:14.320
<v Speaker 5>app will employee that we have in the federal government.

0:39:14.360 --> 0:39:16.840
<v Speaker 5>And so that we're about seven thousand of those probitionary

0:39:16.880 --> 0:39:19.719
<v Speaker 5>employers who were removed in about seventeen thousand people who

0:39:19.760 --> 0:39:22.239
<v Speaker 5>were ultimately riffed, you know, reductions and forced as a

0:39:22.239 --> 0:39:24.799
<v Speaker 5>result of restructings. So I say that number one, not

0:39:24.840 --> 0:39:26.440
<v Speaker 5>to I want to be totally clear with your listeners,

0:39:26.600 --> 0:39:28.200
<v Speaker 5>not to make light of any of this. Obviously those

0:39:28.200 --> 0:39:30.720
<v Speaker 5>are real people with real jobs and real families and stuff.

0:39:30.760 --> 0:39:33.799
<v Speaker 5>But the numbers, again, you know, kind of I think

0:39:33.840 --> 0:39:35.680
<v Speaker 5>bear out what we tried to do in the government,

0:39:35.719 --> 0:39:38.520
<v Speaker 5>which is tell people that things were changing, tell people

0:39:38.600 --> 0:39:40.200
<v Speaker 5>that you know, we do have a different view as

0:39:40.239 --> 0:39:42.000
<v Speaker 5>to what, you know, we think the federal government should

0:39:42.040 --> 0:39:46.040
<v Speaker 5>be doing, and give people an opportunity to voluntarily say, okay,

0:39:46.040 --> 0:39:47.480
<v Speaker 5>this is not what I signed up for, which is

0:39:47.480 --> 0:39:49.120
<v Speaker 5>a very noble thing to do, and say, you know,

0:39:49.120 --> 0:39:50.719
<v Speaker 5>it's time for me to go do something different. So

0:39:51.200 --> 0:39:52.560
<v Speaker 5>ninety two and a half percent of the people who

0:39:52.640 --> 0:39:55.160
<v Speaker 5>left the government did so because they decided, you know,

0:39:55.239 --> 0:39:57.000
<v Speaker 5>this wasn't an environment they wanted to be in. So

0:39:57.719 --> 0:39:59.680
<v Speaker 5>that being said, now, look I totally agree with you,

0:39:59.719 --> 0:40:01.880
<v Speaker 5>which is we have to demonstrate to the people that

0:40:01.920 --> 0:40:03.399
<v Speaker 5>are there and to the people who are coming in

0:40:03.600 --> 0:40:05.960
<v Speaker 5>that you know, we obviously care about them and that

0:40:06.000 --> 0:40:08.680
<v Speaker 5>we think they do valuable work. And I think that's

0:40:08.719 --> 0:40:10.640
<v Speaker 5>the case for the vast fast majority of people there

0:40:10.680 --> 0:40:12.719
<v Speaker 5>do great work, like any organization. Yes, there are some

0:40:12.760 --> 0:40:15.040
<v Speaker 5>people who are not doing great work, and we have

0:40:15.080 --> 0:40:17.080
<v Speaker 5>a system that makes it very hard to hold them accountable.

0:40:17.080 --> 0:40:18.719
<v Speaker 5>We're going to try to fix that. But look, that's

0:40:18.719 --> 0:40:21.200
<v Speaker 5>true of any organization. So I don't think it doesn't

0:40:21.200 --> 0:40:23.040
<v Speaker 5>make sense that kind of demean the broad federal government

0:40:23.040 --> 0:40:24.880
<v Speaker 5>based upon the work of a few. But we have

0:40:24.920 --> 0:40:26.680
<v Speaker 5>to do that, and we also have to be honest

0:40:26.719 --> 0:40:29.360
<v Speaker 5>and transparent with our people, which I believe very strongly,

0:40:29.400 --> 0:40:31.600
<v Speaker 5>and is Look, we can't be all things to all people,

0:40:31.640 --> 0:40:34.719
<v Speaker 5>Like we're running two trillion dollars deficits. That's not sustainable.

0:40:35.040 --> 0:40:36.600
<v Speaker 5>And so look, we've got to be smarter. We have

0:40:36.640 --> 0:40:38.960
<v Speaker 5>to use technology to find ways to improve efficiency. We

0:40:39.040 --> 0:40:41.160
<v Speaker 5>have to think about if we're doing twenty things, are

0:40:41.200 --> 0:40:43.400
<v Speaker 5>all twenty of them still required? Do they still add value?

0:40:43.680 --> 0:40:46.120
<v Speaker 5>Because ultimately we're stewards of the taxpayer dollars, Like this

0:40:46.160 --> 0:40:48.200
<v Speaker 5>is not our money we're spending, and so I think

0:40:48.200 --> 0:40:50.279
<v Speaker 5>it's incumbent upon everybody. And this is the message that

0:40:50.280 --> 0:40:52.279
<v Speaker 5>I'm trying to get across to my team and to

0:40:52.280 --> 0:40:54.799
<v Speaker 5>the rest of the government. Is efficiency doesn't mean just

0:40:54.840 --> 0:40:57.400
<v Speaker 5>cutting cost. Efficiency means are you thinking about delivering a

0:40:57.400 --> 0:41:00.000
<v Speaker 5>better service but doing so you know, at or below.

0:41:00.000 --> 0:41:02.399
<v Speaker 5>So like what you do today, because you're thinking about

0:41:02.480 --> 0:41:05.520
<v Speaker 5>organizational changes, you're thinking about technology. Like to me, that

0:41:05.680 --> 0:41:08.560
<v Speaker 5>is just like quite frankly required of anybody in any

0:41:08.640 --> 0:41:12.000
<v Speaker 5>organization to do. And so that to me is like

0:41:12.080 --> 0:41:14.400
<v Speaker 5>what I'm trying to convey to people. And yes, that

0:41:14.440 --> 0:41:16.320
<v Speaker 5>means that there may be some jobs that are impacted

0:41:16.360 --> 0:41:19.040
<v Speaker 5>because of technology, but those things are going to happen,

0:41:19.160 --> 0:41:21.600
<v Speaker 5>whether you know kind of you know, we want them

0:41:21.640 --> 0:41:23.600
<v Speaker 5>to happen or not. The question is do we actually

0:41:23.600 --> 0:41:25.560
<v Speaker 5>set up the workforce and do training and do all

0:41:25.600 --> 0:41:26.759
<v Speaker 5>the kinds of things we need to do to make

0:41:26.760 --> 0:41:29.319
<v Speaker 5>sure that people have opportunities in light of what is

0:41:29.360 --> 0:41:31.920
<v Speaker 5>a very very rapidly changing, you know, technological market.

0:41:32.160 --> 0:41:34.200
<v Speaker 3>So I get that part of the problem that you're

0:41:34.200 --> 0:41:37.319
<v Speaker 3>trying to solve is an operational one. This idea of

0:41:37.440 --> 0:41:41.239
<v Speaker 3>like a COBOYL programmer who's been there for decades and

0:41:41.280 --> 0:41:44.399
<v Speaker 3>he retires and walks out the door, and no one

0:41:44.480 --> 0:41:46.400
<v Speaker 3>knows how to do what he was doing, or no

0:41:46.440 --> 0:41:49.839
<v Speaker 3>one understands the system that he's basically had control over

0:41:50.320 --> 0:41:53.640
<v Speaker 3>for ages. But at the same time, you know, we're

0:41:53.680 --> 0:41:56.840
<v Speaker 3>talking about a decent amount of turnover a lot of

0:41:56.920 --> 0:42:01.920
<v Speaker 3>new employees. If this goes the right way, how are you,

0:42:02.360 --> 0:42:06.680
<v Speaker 3>I guess, guiding for safety. Are there any sort of

0:42:06.719 --> 0:42:10.520
<v Speaker 3>like institutional guardrails that you're putting in so that the

0:42:10.600 --> 0:42:13.960
<v Speaker 3>government doesn't actually end up breaking things?

0:42:15.120 --> 0:42:20.200
<v Speaker 5>Yeah, I mean, look, there are you will hopefully appreciate

0:42:20.239 --> 0:42:22.440
<v Speaker 5>this bill. Look, there are a ton of institutional guardrails.

0:42:22.560 --> 0:42:24.400
<v Speaker 5>You know. In my mind, like the problem is we

0:42:24.440 --> 0:42:27.319
<v Speaker 5>have too many institutional guardrails. And again, you know, rational

0:42:27.360 --> 0:42:29.799
<v Speaker 5>people may disagree with me, but you know, I can

0:42:29.880 --> 0:42:32.799
<v Speaker 5>just tell you, like the entire culture of everything we do.

0:42:33.080 --> 0:42:35.799
<v Speaker 5>Any everybody I've talked to in government and luckily we've

0:42:35.800 --> 0:42:37.880
<v Speaker 5>had lots of kind of impact on making change ear on,

0:42:38.320 --> 0:42:41.239
<v Speaker 5>everybody is like, we can't do that because of X, right,

0:42:41.280 --> 0:42:44.640
<v Speaker 5>And the answer is either because like it's statutory and

0:42:44.680 --> 0:42:46.520
<v Speaker 5>the honest answers when you dig and dig and dig

0:42:46.520 --> 0:42:48.880
<v Speaker 5>the realities it's not statutory, Like we've built up this

0:42:48.960 --> 0:42:51.840
<v Speaker 5>like urban myth over time that something is statutory, or

0:42:51.880 --> 0:42:55.080
<v Speaker 5>as I mentioned, because like I'm terrified that I'm gonna

0:42:55.080 --> 0:42:57.520
<v Speaker 5>get a GAO report, an inspector General report, or a

0:42:57.560 --> 0:43:00.840
<v Speaker 5>congressional inquiry. And like, we we have built such a

0:43:00.840 --> 0:43:03.880
<v Speaker 5>compliance culture that we are just literally like unable to

0:43:03.920 --> 0:43:07.360
<v Speaker 5>do anything that actually is kind of modern and you know,

0:43:07.560 --> 0:43:10.200
<v Speaker 5>forward thinking in terms of government. And so this is

0:43:10.200 --> 0:43:11.480
<v Speaker 5>what I'm this is what I'm trying to do. And

0:43:11.680 --> 0:43:13.520
<v Speaker 5>as I told you guys from the beginning, like, yes,

0:43:13.560 --> 0:43:15.120
<v Speaker 5>this is not the private sector. We're not going to

0:43:15.160 --> 0:43:16.960
<v Speaker 5>take crazy risks. We're not going to like go like

0:43:17.000 --> 0:43:19.759
<v Speaker 5>put everything on black, you know, in the casino. But

0:43:20.320 --> 0:43:22.600
<v Speaker 5>we can have a rational conversation, which is okay, like

0:43:22.640 --> 0:43:24.520
<v Speaker 5>what are the risks we're taking and what's the upside.

0:43:24.560 --> 0:43:26.200
<v Speaker 5>So if you'll give me a minute, let me give

0:43:26.200 --> 0:43:28.920
<v Speaker 5>you a very very tangible example for your listeners. So

0:43:29.040 --> 0:43:32.000
<v Speaker 5>I mentioned to you that we handle retirement services and

0:43:32.040 --> 0:43:34.839
<v Speaker 5>it's a very manual process, and so like it takes

0:43:34.880 --> 0:43:37.680
<v Speaker 5>us a really long time to get people formally retired.

0:43:37.719 --> 0:43:39.360
<v Speaker 5>So you quit from you know, you retire from the

0:43:39.400 --> 0:43:42.960
<v Speaker 5>government on September thirtieth. In the current process, you know,

0:43:43.080 --> 0:43:45.719
<v Speaker 5>it takes sixty ninety one hundred and twenty days sometimes

0:43:46.000 --> 0:43:48.719
<v Speaker 5>for you to actually get a check because we have

0:43:48.800 --> 0:43:51.759
<v Speaker 5>this ridiculous, manually paper process that takes forever to for

0:43:51.880 --> 0:43:53.920
<v Speaker 5>us to calculate what are you actually entitled to and

0:43:53.960 --> 0:43:55.360
<v Speaker 5>to make sure you're getting the right money and all

0:43:55.400 --> 0:43:58.080
<v Speaker 5>that stuff. So that's a huge burden on retire reach. Right,

0:43:58.080 --> 0:44:00.040
<v Speaker 5>You've been getting a paycheck every two weeks for the

0:44:00.120 --> 0:44:02.200
<v Speaker 5>last forty years, and now I'm going to tell you,

0:44:02.280 --> 0:44:04.520
<v Speaker 5>like sorry, like go manage your cash flow some other

0:44:04.560 --> 0:44:07.000
<v Speaker 5>way while I'm doing this, Like, that's terrible in my mind,

0:44:07.160 --> 0:44:09.680
<v Speaker 5>and it's a complete disservice and completely disrespectful to people

0:44:09.680 --> 0:44:12.200
<v Speaker 5>who are retired with the government. So we have a

0:44:12.239 --> 0:44:15.080
<v Speaker 5>process in the Retirement Services thing called interim pay right,

0:44:15.120 --> 0:44:17.200
<v Speaker 5>which is as the name sounds, right, The idea is, okay,

0:44:17.360 --> 0:44:19.440
<v Speaker 5>can we get you some money on an interim basis

0:44:19.440 --> 0:44:21.400
<v Speaker 5>that may not be one hundred percent accurate, but at

0:44:21.480 --> 0:44:24.680
<v Speaker 5>least helps bridge this gap between you when you retire

0:44:24.680 --> 0:44:27.440
<v Speaker 5>and when you get your actual annuity check. Okay. So

0:44:28.160 --> 0:44:30.520
<v Speaker 5>going into and then the couple this with we've got

0:44:30.560 --> 0:44:32.319
<v Speaker 5>this massive You know, we have had a lot of

0:44:32.360 --> 0:44:34.560
<v Speaker 5>exits in government. So the three hundred and seventeen thousand

0:44:34.560 --> 0:44:36.960
<v Speaker 5>I mentioned, not all of those are retirees, but like

0:44:37.040 --> 0:44:39.400
<v Speaker 5>on average people, we have about one hundred to one

0:44:39.480 --> 0:44:41.680
<v Speaker 5>hundred and fifty thousand exits a year, so we're you know,

0:44:41.719 --> 0:44:43.479
<v Speaker 5>more than double the number. So and as a result,

0:44:43.520 --> 0:44:45.760
<v Speaker 5>there's more than double the number of retirees that are happening.

0:44:45.800 --> 0:44:49.480
<v Speaker 5>So you've got this terrible papal process like massive volumes,

0:44:49.960 --> 0:44:51.880
<v Speaker 5>and we're just going to make life miserable for all

0:44:51.920 --> 0:44:54.879
<v Speaker 5>these people who can't get money. So I asked the team.

0:44:54.920 --> 0:44:57.280
<v Speaker 5>I said, okay, how many people go through interim pay today?

0:44:57.360 --> 0:44:59.640
<v Speaker 5>This is kind of pre are change, and it's about

0:44:59.640 --> 0:45:01.640
<v Speaker 5>like percent of people. And I was like, well, what's

0:45:01.640 --> 0:45:04.400
<v Speaker 5>the problem. Layer like, well, that's how we've always done it,

0:45:04.480 --> 0:45:06.440
<v Speaker 5>so you know, again, part of the answer was statutory,

0:45:06.440 --> 0:45:10.040
<v Speaker 5>which it's not statutory. And they're like, well, there's huge

0:45:10.120 --> 0:45:13.040
<v Speaker 5>risk to the system because if we pay somebody more

0:45:13.719 --> 0:45:16.359
<v Speaker 5>and then they die between the time we paid them

0:45:16.400 --> 0:45:19.960
<v Speaker 5>their interim payment and we get their actual annuity, there

0:45:20.000 --> 0:45:21.920
<v Speaker 5>may not be any assets left into the estate, and

0:45:21.960 --> 0:45:24.760
<v Speaker 5>so we might compromise the fidelity of the trust fund. Okay,

0:45:25.120 --> 0:45:26.680
<v Speaker 5>Now keep in mind, this is a one point two

0:45:26.680 --> 0:45:29.480
<v Speaker 5>trillion dollar trust fund that is actually cashful, a positive.

0:45:29.520 --> 0:45:32.279
<v Speaker 5>So among trust funds for retirement. It's actually fairy rare.

0:45:32.760 --> 0:45:34.760
<v Speaker 5>But we earned two and a half percent on government

0:45:34.760 --> 0:45:37.120
<v Speaker 5>treasuries a year, which is horrendously bad because we're only

0:45:37.120 --> 0:45:40.319
<v Speaker 5>allowed to invest in government treasuries but not with Spain.

0:45:40.400 --> 0:45:42.479
<v Speaker 5>That it's actually still pet cashul the positive and fully

0:45:42.480 --> 0:45:45.840
<v Speaker 5>funded like almost in any any circumstance. So we finally

0:45:45.880 --> 0:45:47.279
<v Speaker 5>went through the math, and I said, let's go through

0:45:47.280 --> 0:45:49.759
<v Speaker 5>the math, and let's assume, you know, we get it

0:45:49.760 --> 0:45:51.960
<v Speaker 5>wrong x amount of time and all this sudden stuff.

0:45:52.160 --> 0:45:53.839
<v Speaker 5>And we did a bunch of math, and I said, look,

0:45:53.880 --> 0:45:56.520
<v Speaker 5>if we're wrong one hundred percent of the time, it

0:45:56.560 --> 0:45:59.799
<v Speaker 5>could cost us a couple million dollars over payments at

0:46:00.080 --> 0:46:02.480
<v Speaker 5>one point two trillion dollars trust fund. But we can

0:46:02.520 --> 0:46:04.799
<v Speaker 5>shrink from ninety to one hundred and twenty days the

0:46:04.840 --> 0:46:08.320
<v Speaker 5>time somebody gets a payment to either zero to seven

0:46:08.400 --> 0:46:11.239
<v Speaker 5>days if we put more people through this interim pay process.

0:46:11.320 --> 0:46:13.000
<v Speaker 5>So in my mind, like this is just the most

0:46:13.000 --> 0:46:15.200
<v Speaker 5>obvious thing to do, and we are doing it by

0:46:15.200 --> 0:46:17.000
<v Speaker 5>the way we decided to do it. But like it's

0:46:17.040 --> 0:46:19.320
<v Speaker 5>a great example, at least in my mind, of where

0:46:20.160 --> 0:46:22.799
<v Speaker 5>we have so ingrained in the culture that risk, any

0:46:22.880 --> 0:46:25.919
<v Speaker 5>kind of risk is bad without actually people being willing

0:46:25.920 --> 0:46:27.759
<v Speaker 5>to have the conversation to say, Okay, like what is

0:46:27.800 --> 0:46:30.360
<v Speaker 5>the cost of that risk relative to the upside opportunity

0:46:30.360 --> 0:46:33.560
<v Speaker 5>that that taking that risk entails. And I'm perfectly happy,

0:46:33.719 --> 0:46:35.000
<v Speaker 5>you know, I told them, I said, look, you don't

0:46:35.000 --> 0:46:37.000
<v Speaker 5>need to protect me if it turns out some congress

0:46:37.000 --> 0:46:39.040
<v Speaker 5>person wants to yell at me because like, I took

0:46:39.040 --> 0:46:41.359
<v Speaker 5>a modicum of risk in order to like make you know,

0:46:41.480 --> 0:46:43.799
<v Speaker 5>hundreds of thousands of retirees lives better and not have

0:46:43.840 --> 0:46:46.080
<v Speaker 5>to like take loans out after they've given their career

0:46:46.160 --> 0:46:48.640
<v Speaker 5>service to the federal government. Like, I'm totally fine defending that.

0:46:48.640 --> 0:46:51.120
<v Speaker 5>I think that's a perfectly rational answer. So that, to

0:46:51.160 --> 0:46:51.960
<v Speaker 5>me is the issue.

0:46:52.320 --> 0:46:54.560
<v Speaker 2>I have one least question, and maybe I'll sort of

0:46:54.560 --> 0:46:56.640
<v Speaker 2>ask you a little bit to put your VC hat on,

0:46:56.680 --> 0:46:59.160
<v Speaker 2>maybe because maybe you will go back to VC when

0:46:59.200 --> 0:47:01.719
<v Speaker 2>this level is over. But who knows someone who knows

0:47:01.760 --> 0:47:04.319
<v Speaker 2>a lot a lot about technology. So we had an

0:47:04.360 --> 0:47:07.160
<v Speaker 2>episode recently with Tyler Cowhen we talk about one of

0:47:07.160 --> 0:47:10.480
<v Speaker 2>the weird things, Yeah, is that you know, the AI.

0:47:10.520 --> 0:47:12.279
<v Speaker 2>We haven't even really talked about AI. So this's my

0:47:12.320 --> 0:47:15.000
<v Speaker 2>AI question. AI the tech make you know, makes your

0:47:15.080 --> 0:47:16.960
<v Speaker 2>jaws drop when you see it. On the other hand,

0:47:17.000 --> 0:47:19.359
<v Speaker 2>the impact so far on the economy or the real

0:47:19.360 --> 0:47:21.840
<v Speaker 2>world is sort of muted. It maybe is like you

0:47:21.920 --> 0:47:24.640
<v Speaker 2>might have, given the capabilities, you might have expected more

0:47:25.360 --> 0:47:28.600
<v Speaker 2>more revolutionary change. And his thesis that he put forth

0:47:28.760 --> 0:47:30.879
<v Speaker 2>was like, we're really not going to see that sort

0:47:30.920 --> 0:47:33.880
<v Speaker 2>of meaningful, impactful diffusion of the tech until we have

0:47:33.960 --> 0:47:37.560
<v Speaker 2>organizations that to some extent are built ground up from

0:47:37.719 --> 0:47:40.080
<v Speaker 2>AI that you know, yes, you can maybe get some

0:47:40.120 --> 0:47:43.239
<v Speaker 2>productivity gains here and there by putting AI into some

0:47:43.320 --> 0:47:46.160
<v Speaker 2>existing workflow, but that the real breakthroughs will come from

0:47:46.160 --> 0:47:49.280
<v Speaker 2>whether it's companies or so forth, that are truly AI

0:47:49.440 --> 0:47:52.560
<v Speaker 2>native from day one. I'm curious, you know, when you

0:47:52.600 --> 0:47:55.440
<v Speaker 2>think about you know, again going back to the VC world, A,

0:47:56.160 --> 0:48:00.680
<v Speaker 2>does this feel intuitive to you that the real deployers

0:48:00.719 --> 0:48:03.160
<v Speaker 2>will be AI native And then does that have any

0:48:03.239 --> 0:48:06.120
<v Speaker 2>implications for like, we're not going to have a revolution,

0:48:06.560 --> 0:48:09.440
<v Speaker 2>I guess hopefully at the at the federal level, are

0:48:09.480 --> 0:48:11.839
<v Speaker 2>not going to have a complete destruction and starting over.

0:48:12.200 --> 0:48:15.520
<v Speaker 2>Does that have any implications then for thinking about how

0:48:15.560 --> 0:48:18.879
<v Speaker 2>AI will be diffused within federal processes?

0:48:20.080 --> 0:48:22.560
<v Speaker 5>Yeah? So obviously, Yeah, Tyler is a brilliant guy, so

0:48:23.000 --> 0:48:25.320
<v Speaker 5>far from me to disagree with him. But let me

0:48:25.360 --> 0:48:26.799
<v Speaker 5>give you just a couple thoughts on what he said.

0:48:26.840 --> 0:48:29.440
<v Speaker 5>So look, I guess I generally agree with most of

0:48:29.440 --> 0:48:31.920
<v Speaker 5>what he says, which is, and this is true by

0:48:31.920 --> 0:48:34.239
<v Speaker 5>the way I think of adoption of most new technologies,

0:48:34.239 --> 0:48:36.600
<v Speaker 5>which is, we go to the common use cases and

0:48:36.600 --> 0:48:39.200
<v Speaker 5>we think about incrementality as the first thing to do it.

0:48:39.239 --> 0:48:42.480
<v Speaker 5>So if you go way back when Mark Andresen told

0:48:42.480 --> 0:48:43.960
<v Speaker 5>me this, so if it's if it's made up, I'll

0:48:43.960 --> 0:48:46.759
<v Speaker 5>blame him. You know, when when we when we first

0:48:46.800 --> 0:48:48.840
<v Speaker 5>when we first had movies, you know, actual like you know,

0:48:49.239 --> 0:48:52.680
<v Speaker 5>moving pictures, they were just plays basically that people filmed, right,

0:48:52.719 --> 0:48:55.280
<v Speaker 5>so like they weren't like producing them, they weren't new content.

0:48:55.320 --> 0:48:57.319
<v Speaker 5>It was literally just we said, Wow, we have this

0:48:57.320 --> 0:48:59.560
<v Speaker 5>cool thing called a camera. Let's film a play and

0:48:59.560 --> 0:49:03.000
<v Speaker 5>then go in a thing. Now it's obviously that's not

0:49:03.040 --> 0:49:05.359
<v Speaker 5>that relevant to this conversation, but my point is just

0:49:05.440 --> 0:49:08.239
<v Speaker 5>like we tend to go to these very common incremental

0:49:08.640 --> 0:49:11.560
<v Speaker 5>use cases for things. And so look, I believe that

0:49:11.760 --> 0:49:14.080
<v Speaker 5>if you look at any major fortune five hundred company,

0:49:14.120 --> 0:49:16.600
<v Speaker 5>I guarantee you that every single board conversation is what

0:49:16.600 --> 0:49:18.680
<v Speaker 5>the heck are you doing about AI? And how do

0:49:18.760 --> 0:49:21.520
<v Speaker 5>I get three to five to seven percent greater EPs

0:49:21.560 --> 0:49:24.759
<v Speaker 5>growth relative to last year because you can fix my

0:49:24.800 --> 0:49:27.000
<v Speaker 5>customer support problem or stuff like that. So I think

0:49:27.040 --> 0:49:29.399
<v Speaker 5>that's what's happening right now. I do agree that, Yes,

0:49:29.480 --> 0:49:31.920
<v Speaker 5>what often happens is then there will be a new

0:49:31.960 --> 0:49:33.680
<v Speaker 5>generation of companies And we see this in the venture

0:49:33.680 --> 0:49:36.359
<v Speaker 5>capital world too already. Which is the most obvious use

0:49:36.360 --> 0:49:38.160
<v Speaker 5>cases that people did is there's a ton of companies

0:49:38.160 --> 0:49:40.799
<v Speaker 5>who have customer support applications for AI, and there's a

0:49:40.800 --> 0:49:42.600
<v Speaker 5>ton of companies who have you know, how do we

0:49:42.719 --> 0:49:45.640
<v Speaker 5>help lawyers read documents better using AI? And that's great

0:49:45.680 --> 0:49:48.880
<v Speaker 5>and those companies are fantastic, but the real breakthrough is

0:49:48.880 --> 0:49:51.279
<v Speaker 5>going to be yes, like when someone says, Okay, we're

0:49:51.280 --> 0:49:53.520
<v Speaker 5>not just gonna make salesforce dot com more efficient, but like,

0:49:53.560 --> 0:49:56.480
<v Speaker 5>we're just going to rethink customer relationship management with an

0:49:56.520 --> 0:49:59.359
<v Speaker 5>AI first mentality, and like, the AI should know who

0:49:59.360 --> 0:50:01.400
<v Speaker 5>my customers are. It should anticipate what I want to do,

0:50:01.440 --> 0:50:03.480
<v Speaker 5>and it should send me emails and texts and say, like,

0:50:03.520 --> 0:50:05.279
<v Speaker 5>you haven't talked to this person in five weeks and

0:50:05.719 --> 0:50:07.600
<v Speaker 5>I just saw that they you know, spoke at this

0:50:07.640 --> 0:50:09.480
<v Speaker 5>conference and they talked about this, and you know you're

0:50:09.480 --> 0:50:11.279
<v Speaker 5>not following up on it. So that's where we will

0:50:11.320 --> 0:50:13.520
<v Speaker 5>get and I have no doubt we will get there,

0:50:13.600 --> 0:50:15.799
<v Speaker 5>quite frankly. And look, I'm an optimist by nature. You

0:50:15.800 --> 0:50:17.400
<v Speaker 5>have to be to be in the venture capital business.

0:50:17.480 --> 0:50:19.080
<v Speaker 5>But yes, I would agree with him generally. I think

0:50:19.120 --> 0:50:20.640
<v Speaker 5>that's right. What does it mean for the federal government?

0:50:21.280 --> 0:50:24.840
<v Speaker 5>Very simple, which is that if the private sector is incremental,

0:50:24.960 --> 0:50:27.360
<v Speaker 5>the federal government's going to be like, you know, a

0:50:27.480 --> 0:50:30.600
<v Speaker 5>hundred x incremental relative to a hundred x less incremental.

0:50:30.600 --> 0:50:33.040
<v Speaker 5>I guess I would describe it, but that's in my mind.

0:50:33.040 --> 0:50:35.720
<v Speaker 5>That's okay. Like, so again I've told everybody in my team,

0:50:36.200 --> 0:50:37.640
<v Speaker 5>I'm not asking you. I don't want you to go

0:50:37.680 --> 0:50:40.160
<v Speaker 5>build like the twenty forty AI plan because we have

0:50:40.239 --> 0:50:41.800
<v Speaker 5>no idea what the heck that's going to look like.

0:50:41.880 --> 0:50:43.799
<v Speaker 5>That's a total waste of our time. What I want

0:50:43.800 --> 0:50:45.560
<v Speaker 5>you to do is look at a process you do

0:50:45.640 --> 0:50:48.640
<v Speaker 5>today and figure out can you use an AI tool

0:50:48.680 --> 0:50:51.440
<v Speaker 5>to help you get three, five, ten percent greater performance

0:50:51.440 --> 0:50:53.680
<v Speaker 5>out of your organization? Right, So we do a ton

0:50:53.719 --> 0:50:55.000
<v Speaker 5>of I'll give you very simple say, we do a

0:50:55.040 --> 0:50:57.360
<v Speaker 5>ton of regulation writing obviously, because you know that's what

0:50:57.400 --> 0:50:59.960
<v Speaker 5>we're ultimately in the business of government is producing regulation,

0:51:00.520 --> 0:51:02.560
<v Speaker 5>and we're about to put out a regulation. We got

0:51:02.600 --> 0:51:06.240
<v Speaker 5>forty thousand public comments on this regulation. We literally assigned

0:51:06.280 --> 0:51:08.440
<v Speaker 5>each one of those forty thousand comments to a person

0:51:08.520 --> 0:51:12.160
<v Speaker 5>to read and to draft a response to. Now, to me,

0:51:12.280 --> 0:51:15.200
<v Speaker 5>that's just insane, right, And I'm not saying that like

0:51:15.239 --> 0:51:17.080
<v Speaker 5>the AI, we should just like the AI should do it.

0:51:17.120 --> 0:51:20.680
<v Speaker 5>But like, clearly AI is very good at you know, summarization,

0:51:21.120 --> 0:51:24.359
<v Speaker 5>at you know, helping people think about stuff like that's like,

0:51:24.440 --> 0:51:26.840
<v Speaker 5>that's all. If we did that, like, we would unleash

0:51:26.920 --> 0:51:29.520
<v Speaker 5>so much creativity and opportunity to government if we just said,

0:51:29.880 --> 0:51:32.839
<v Speaker 5>take the very basic stuff we're doing today and use

0:51:32.920 --> 0:51:35.839
<v Speaker 5>your you know, companion, chat, GPT or XAI, whatever your

0:51:35.880 --> 0:51:38.680
<v Speaker 5>favorite tool is, and just you know, eke out a

0:51:38.719 --> 0:51:40.799
<v Speaker 5>little bit of productivity. So anyway, that's how I think

0:51:40.840 --> 0:51:42.680
<v Speaker 5>about it. So, yes, the government is not gonna we're

0:51:42.719 --> 0:51:45.560
<v Speaker 5>not gonna transform government overnight. But what we're trying to do,

0:51:45.600 --> 0:51:47.120
<v Speaker 5>and what the US Tech Force is trying to do,

0:51:47.239 --> 0:51:49.120
<v Speaker 5>is can we get the right people in here who

0:51:49.239 --> 0:51:51.880
<v Speaker 5>understand those things that we start to drive ourselves forward

0:51:52.200 --> 0:51:53.759
<v Speaker 5>so we don't wake up five years from now and

0:51:53.760 --> 0:51:56.400
<v Speaker 5>find that we're the last dinosaur basically, and you know

0:51:56.440 --> 0:51:57.480
<v Speaker 5>the world has passed us by.

0:51:57.880 --> 0:52:00.520
<v Speaker 3>So you sort of mentioned it just then, But can

0:52:00.560 --> 0:52:02.799
<v Speaker 3>you talk at all about what kind of platforms you're

0:52:02.920 --> 0:52:06.359
<v Speaker 3>using currently or what kind of models, because I you know,

0:52:06.800 --> 0:52:09.000
<v Speaker 3>I'm sure some people would find it very ironic if

0:52:09.040 --> 0:52:11.959
<v Speaker 3>the federal government was using deep seek or something like that.

0:52:12.920 --> 0:52:15.440
<v Speaker 3>And I'm curious whether you lean towards like an open

0:52:15.480 --> 0:52:18.840
<v Speaker 3>source thing or a closed source thing because of privacy concerns.

0:52:19.440 --> 0:52:21.920
<v Speaker 5>Right now, the honest answer is we're at the very

0:52:22.000 --> 0:52:24.560
<v Speaker 5>very early stages, which is most of what people are doing.

0:52:24.640 --> 0:52:24.680
<v Speaker 3>It.

0:52:24.800 --> 0:52:27.640
<v Speaker 5>Literally, this may make your head spin because it made mine.

0:52:27.920 --> 0:52:30.040
<v Speaker 5>Until about a month ago, we did not even have

0:52:30.120 --> 0:52:33.000
<v Speaker 5>chat GPT on our government desktops. So, like you know,

0:52:33.080 --> 0:52:35.000
<v Speaker 5>I literally would sit there on my phone and ask

0:52:35.080 --> 0:52:37.400
<v Speaker 5>chat GIPT questions myerson my personal phone, just to be

0:52:37.480 --> 0:52:39.719
<v Speaker 5>totally clear on my personal phone, and then I would

0:52:39.760 --> 0:52:41.880
<v Speaker 5>go back to my work laptop and do stuff. So

0:52:42.320 --> 0:52:44.000
<v Speaker 5>as of about a month or two ago, we actually

0:52:44.000 --> 0:52:47.319
<v Speaker 5>have chat GPT, we have Xai. Now we might even

0:52:47.400 --> 0:52:49.200
<v Speaker 5>have We not even have a third one. I don't

0:52:49.200 --> 0:52:51.759
<v Speaker 5>even know. And of course we're the government's a big

0:52:51.760 --> 0:52:54.480
<v Speaker 5>Microsoft client. So we have my soft copilot for an

0:52:54.480 --> 0:52:57.040
<v Speaker 5>individual user in government that's basically the state that is

0:52:57.160 --> 0:53:00.320
<v Speaker 5>like the state of you know, kind of advanced automation basse.

0:53:00.360 --> 0:53:02.680
<v Speaker 5>We literally have it on our laptops. Now for the

0:53:02.719 --> 0:53:05.839
<v Speaker 5>development work that's happening. You're absolutely right, which is, Look,

0:53:05.880 --> 0:53:08.040
<v Speaker 5>there are major security issues that we all have to

0:53:08.040 --> 0:53:10.920
<v Speaker 5>think about. Look, I'm a big believer as you can

0:53:10.960 --> 0:53:13.920
<v Speaker 5>imagine an open source and certainly our firm entries in Horowitz.

0:53:13.920 --> 0:53:16.040
<v Speaker 5>You know, you've seen Mark make lots of public comments

0:53:16.040 --> 0:53:18.399
<v Speaker 5>about this. So I think the government will use open

0:53:18.400 --> 0:53:20.560
<v Speaker 5>source and can appropriately do so. Clearly we're not going

0:53:20.600 --> 0:53:23.839
<v Speaker 5>to use like the deep seat commercial version, but you know,

0:53:23.920 --> 0:53:25.759
<v Speaker 5>so much of that stuff is open source, and if

0:53:25.760 --> 0:53:27.719
<v Speaker 5>you bring it in you know, to your environment, and

0:53:27.760 --> 0:53:29.520
<v Speaker 5>you make sure that you get the right security standards.

0:53:30.320 --> 0:53:32.439
<v Speaker 5>You know, there's tremendous value to develop on open source.

0:53:32.440 --> 0:53:33.759
<v Speaker 5>But I would just just to give you a sense

0:53:33.800 --> 0:53:35.279
<v Speaker 5>of where we are, I would say we're very very

0:53:35.320 --> 0:53:36.560
<v Speaker 5>early in that journey in government.

0:53:37.080 --> 0:53:41.040
<v Speaker 3>I have one last, very quick question, which is how

0:53:41.160 --> 0:53:44.960
<v Speaker 3>much of a constraint is drug testing on new hires nowadays?

0:53:45.160 --> 0:53:47.680
<v Speaker 5>You know, I wish I had a really smart answer

0:53:47.760 --> 0:53:51.359
<v Speaker 5>to your question. I don't know the answer to that.

0:53:51.440 --> 0:53:53.440
<v Speaker 5>I have not seen it. It hasn't I say, it

0:53:53.440 --> 0:53:56.600
<v Speaker 5>hasn't shown up as some like big red flag where

0:53:56.600 --> 0:53:58.960
<v Speaker 5>we're losing people in the recruiting pipeline because of that.

0:54:00.320 --> 0:54:02.560
<v Speaker 5>But the very honest answers, I don't know, but I

0:54:02.560 --> 0:54:03.120
<v Speaker 5>will find out.

0:54:03.400 --> 0:54:04.520
<v Speaker 4>I think it's a good que we should.

0:54:04.560 --> 0:54:07.360
<v Speaker 2>I'm actually very curious about drugs in the workforce in general.

0:54:07.440 --> 0:54:08.279
<v Speaker 4>We should do more on that.

0:54:08.400 --> 0:54:11.120
<v Speaker 2>Scott Cooper, thank you, no for real, for real, I

0:54:11.160 --> 0:54:13.160
<v Speaker 2>you hear about it. My bark was talking about how

0:54:13.200 --> 0:54:15.720
<v Speaker 2>hard it was to hire because he's like everyone is sort.

0:54:15.600 --> 0:54:17.799
<v Speaker 5>Of if somebody I would just say, Joe, if somebody,

0:54:17.800 --> 0:54:20.640
<v Speaker 5>if somebody clips that and puts it on Joe is

0:54:20.760 --> 0:54:23.320
<v Speaker 5>very I'm very I'm very curious about drugs in the workforce.

0:54:23.360 --> 0:54:24.359
<v Speaker 5>That's gonna be a great click.

0:54:24.840 --> 0:54:27.520
<v Speaker 2>We'll get our producer, we'll clip it. Well, we'll get ahead,

0:54:27.560 --> 0:54:29.719
<v Speaker 2>We'll get ahead of that one. Scott Cooper, thank you

0:54:29.760 --> 0:54:31.680
<v Speaker 2>so much for coming on od Laves. That was really

0:54:31.760 --> 0:54:32.719
<v Speaker 2>really appreciate your take.

0:54:32.760 --> 0:54:33.200
<v Speaker 4>Your time.

0:54:33.360 --> 0:54:35.319
<v Speaker 2>Very helpful, and I would love to stay in touch

0:54:35.360 --> 0:54:38.760
<v Speaker 2>and hear more about how these projects evolved during your tenure.

0:54:39.800 --> 0:54:41.480
<v Speaker 5>Right, thank you both for your time. I appreciate it.

0:54:57.880 --> 0:54:58.680
<v Speaker 4>I thought that was great.

0:54:58.719 --> 0:55:01.600
<v Speaker 2>I love I love these comm conversations. I mean because

0:55:01.880 --> 0:55:04.919
<v Speaker 2>I think they're just I guess the sociology of them. Yeah,

0:55:05.080 --> 0:55:07.520
<v Speaker 2>like that is what these conversations are really about. And

0:55:07.600 --> 0:55:10.600
<v Speaker 2>especially you know, we talk about some of these pathologies

0:55:10.680 --> 0:55:14.360
<v Speaker 2>that replicate from the public to a private sector, et cetera,

0:55:14.440 --> 0:55:17.400
<v Speaker 2>that are both like, they're really interesting sociological questions.

0:55:17.480 --> 0:55:19.360
<v Speaker 3>The Department of War needs to get a bunch of

0:55:19.400 --> 0:55:22.320
<v Speaker 3>ping pong tables and tree snacks to recruit the most

0:55:22.360 --> 0:55:24.040
<v Speaker 3>cutting edge tech workers, right.

0:55:24.080 --> 0:55:25.879
<v Speaker 4>With a macha bar, that's right.

0:55:26.000 --> 0:55:28.000
<v Speaker 2>I wonder, I wonder if they're experiment We should have

0:55:28.040 --> 0:55:30.920
<v Speaker 2>asked that whether they have a macha on tap at

0:55:30.960 --> 0:55:32.560
<v Speaker 2>the office and whether that could move the dial.

0:55:32.880 --> 0:55:37.640
<v Speaker 3>But it's also interesting, again, there's that cultural sociological aspect,

0:55:37.719 --> 0:55:42.040
<v Speaker 3>but it does apply to large bureaucracies and private organizations.

0:55:42.080 --> 0:55:44.840
<v Speaker 3>And I think everyone at some point in their lives

0:55:44.920 --> 0:55:49.799
<v Speaker 3>will experience this type of unnecessary paperwork, whether it's in

0:55:49.840 --> 0:55:52.520
<v Speaker 3>their jobs or when they're applying for a driver's license

0:55:52.640 --> 0:55:53.080
<v Speaker 3>or whatever.

0:55:53.680 --> 0:55:55.759
<v Speaker 2>Yeah, you know what like this is like where I

0:55:55.800 --> 0:56:00.000
<v Speaker 2>have like the sympathy for like sort of like modern life,

0:56:00.160 --> 0:56:04.160
<v Speaker 2>large complicated things. How can the individual with our I mean,

0:56:04.400 --> 0:56:06.920
<v Speaker 2>how could we do How could you navigate insurance? How

0:56:06.920 --> 0:56:09.120
<v Speaker 2>can you navigate all this stuff? It like drives you

0:56:09.200 --> 0:56:12.560
<v Speaker 2>crazy at any scale. I do think, you know, And

0:56:12.600 --> 0:56:15.279
<v Speaker 2>this came up also in our conversations with Jennifer, and

0:56:15.320 --> 0:56:18.040
<v Speaker 2>I believe it that there is a lot there is

0:56:18.160 --> 0:56:23.000
<v Speaker 2>more to a career than pay, right, But I also

0:56:23.040 --> 0:56:25.680
<v Speaker 2>think that's like a very real issue, especially when you're

0:56:25.719 --> 0:56:28.600
<v Speaker 2>talking about the tech workforce specifically, where we know you

0:56:28.600 --> 0:56:31.280
<v Speaker 2>could just make an absolute fortune, and in many cases

0:56:31.400 --> 0:56:33.400
<v Speaker 2>you can make it a fortune as a very young person.

0:56:33.400 --> 0:56:35.240
<v Speaker 2>You'll be in the right company at the right time,

0:56:35.320 --> 0:56:39.400
<v Speaker 2>and many overnight multimillionaires in Silicon Valley. So it's not

0:56:39.719 --> 0:56:42.320
<v Speaker 2>just the late stage, although that's where it becomes the

0:56:42.320 --> 0:56:45.520
<v Speaker 2>most obvious. I really the pay is a very tricky situation.

0:56:45.760 --> 0:56:45.920
<v Speaker 5>Well.

0:56:45.960 --> 0:56:48.759
<v Speaker 3>I do think the emphasis on time constraints for the

0:56:48.800 --> 0:56:52.600
<v Speaker 3>tech force that's really interesting, and that's kind of a

0:56:52.719 --> 0:56:55.600
<v Speaker 3>shift again, a cultural shift from the way people have

0:56:55.760 --> 0:56:58.840
<v Speaker 3>perceived government jobs for a long time. And I can imagine,

0:56:58.920 --> 0:57:01.680
<v Speaker 3>you know, like if you were a young tech worker,

0:57:02.040 --> 0:57:05.799
<v Speaker 3>maybe you're having trouble getting into the private sector. You know,

0:57:06.320 --> 0:57:09.600
<v Speaker 3>just last year, you know, two years ago, remember there

0:57:09.680 --> 0:57:14.040
<v Speaker 3>was the wave of like layoffs. Yeah, and now everyone

0:57:14.080 --> 0:57:15.279
<v Speaker 3>is recruiting because of AI.

0:57:15.560 --> 0:57:18.280
<v Speaker 2>But well, I mean no, I mean you're to your point,

0:57:18.400 --> 0:57:20.560
<v Speaker 2>like there are even like there are many talented tech

0:57:20.560 --> 0:57:23.160
<v Speaker 2>people if they're right there on the sweet spot, even

0:57:23.160 --> 0:57:24.400
<v Speaker 2>though that's not what it used to be.

0:57:24.560 --> 0:57:26.680
<v Speaker 3>So I can imagine, like you go to the government

0:57:26.720 --> 0:57:30.680
<v Speaker 3>for two years and it's it's an educational process, and

0:57:30.720 --> 0:57:33.000
<v Speaker 3>you can take some of that knowledge away from you

0:57:33.040 --> 0:57:35.400
<v Speaker 3>when you then go into the private sector. Although that

0:57:35.520 --> 0:57:38.760
<v Speaker 3>also opens up the question of rotating doors between the

0:57:38.760 --> 0:57:42.680
<v Speaker 3>government and private companies, but maybe that's a topic for

0:57:42.760 --> 0:57:43.480
<v Speaker 3>a different day.

0:57:43.720 --> 0:57:46.680
<v Speaker 2>I just and I do think there is and it's

0:57:46.720 --> 0:57:49.120
<v Speaker 2>not just this administration, but I think it's been very notable,

0:57:49.240 --> 0:57:51.520
<v Speaker 2>at least with some parts of the administration or some

0:57:51.520 --> 0:57:54.720
<v Speaker 2>parts of the rhetoric. There's this sort of like vilification

0:57:54.760 --> 0:57:56.720
<v Speaker 2>of bureaucrats, which is again of sort of a long

0:57:56.760 --> 0:58:00.600
<v Speaker 2>time thing, Like bureaucrats has sort of been a kind.

0:58:00.400 --> 0:58:02.440
<v Speaker 4>Of a pejor, I mean a beer word.

0:58:04.160 --> 0:58:06.600
<v Speaker 2>Anyway, I do think that's an issue. And I also think,

0:58:06.760 --> 0:58:10.280
<v Speaker 2>you know, like maybe we should just bring back civil

0:58:10.320 --> 0:58:12.800
<v Speaker 2>service exams everywhere and if you could know seriously and

0:58:12.840 --> 0:58:15.880
<v Speaker 2>if you could pass this test, you can get a job.

0:58:15.960 --> 0:58:18.160
<v Speaker 2>Like it's Lindy, you know, it's like famously, you know,

0:58:18.360 --> 0:58:19.960
<v Speaker 2>go back thousands of years in China.

0:58:19.960 --> 0:58:21.560
<v Speaker 3>It's like the Big I was about to say, do

0:58:21.600 --> 0:58:24.040
<v Speaker 3>you know about the Chinese civil service exams? Those are

0:58:24.040 --> 0:58:27.160
<v Speaker 3>so interesting and crazy? Shall we leave it there?

0:58:27.240 --> 0:58:28.320
<v Speaker 4>Let's leave it there, all right?

0:58:28.360 --> 0:58:30.720
<v Speaker 3>This has been another episode of the Oud Loots podcast.

0:58:30.800 --> 0:58:33.560
<v Speaker 3>I'm Tracy Alloway. You can follow me at Tracy.

0:58:33.240 --> 0:58:35.880
<v Speaker 2>Alloway and I'm Jill Wisenthal. You can follow me at

0:58:35.880 --> 0:58:38.880
<v Speaker 2>the Stalwart. Follow our guest Scott Cooper, He's at s Cooper.

0:58:39.160 --> 0:58:42.240
<v Speaker 2>Follow our producers Kerman Rodriguez at Kerman Arman, dash O

0:58:42.280 --> 0:58:45.240
<v Speaker 2>Bennett at dashbod at kil Brooks at Keil Brooks. From

0:58:45.240 --> 0:58:48.000
<v Speaker 2>where Oddlots content go to Bloomberg dot com Flash Odd

0:58:48.080 --> 0:58:50.640
<v Speaker 2>Lots were the daily newsletter and all of our episodes,

0:58:50.880 --> 0:58:53.080
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