WEBVTT - Former CFTC Head Bowen on Advancing Women in Business

0:00:02.640 --> 0:00:05.320
<v Speaker 1>Welcome to the Bloomberg Penel podcast. I'm Paul swing you.

0:00:05.360 --> 0:00:07.760
<v Speaker 1>Along with my co host Lisa Brahmas. Each day we

0:00:07.880 --> 0:00:10.399
<v Speaker 1>bring you the most noteworthy and useful interviews for you

0:00:10.520 --> 0:00:12.640
<v Speaker 1>and your money, whether at the grocery store or the

0:00:12.640 --> 0:00:15.960
<v Speaker 1>trading floor. Find a Bloomberg penl podcast on Apple podcast

0:00:16.120 --> 0:00:18.040
<v Speaker 1>or wherever you listen to podcasts, as well as at

0:00:18.079 --> 0:00:22.520
<v Speaker 1>Bloomberg dot com. There is a question, a burning question

0:00:22.960 --> 0:00:25.920
<v Speaker 1>of why there is such a lack of women at

0:00:25.920 --> 0:00:28.800
<v Speaker 1>tech companies and at finance companies. And joining us now

0:00:29.120 --> 0:00:32.760
<v Speaker 1>at the Bloomberg Business of Equality Summit is Sharon Bowen.

0:00:32.840 --> 0:00:34.919
<v Speaker 1>She has a partner at Seneca Women, which is an

0:00:34.960 --> 0:00:38.880
<v Speaker 1>app designed to promote women in technology. She also happens

0:00:38.920 --> 0:00:41.120
<v Speaker 1>to be the former commissioner of the u s c FTC,

0:00:41.240 --> 0:00:44.400
<v Speaker 1>the Commodity Features Trading Commission. We are so happy to

0:00:44.479 --> 0:00:46.239
<v Speaker 1>have you, Sharon, Thank you for being with us. I

0:00:46.280 --> 0:00:48.839
<v Speaker 1>want to start with where are we How much progress

0:00:48.840 --> 0:00:51.240
<v Speaker 1>have we actually made when it comes to these male

0:00:51.320 --> 0:00:56.520
<v Speaker 1>dominated fields like technology and banking. We're making progress, but

0:00:56.680 --> 0:01:00.680
<v Speaker 1>frankly a little bit too slowly in my opinion. UM.

0:01:00.800 --> 0:01:03.720
<v Speaker 1>One of the stats that went a highlight is when

0:01:03.720 --> 0:01:06.960
<v Speaker 1>we look at global bank CEOs only two percent of women.

0:01:07.560 --> 0:01:10.640
<v Speaker 1>When we look at global bank boards, less than twenty

0:01:10.680 --> 0:01:13.200
<v Speaker 1>percent of women. And so I think in finance we

0:01:13.240 --> 0:01:17.120
<v Speaker 1>definitely have a leadership gap that we need to fail. So, Sharon, I,

0:01:17.120 --> 0:01:19.440
<v Speaker 1>I've spent uh, you know, over twenty five years on

0:01:19.440 --> 0:01:21.120
<v Speaker 1>Wall Street, and what I noticed over the years and

0:01:21.160 --> 0:01:23.960
<v Speaker 1>doing a lot of recruiting is, you know, incoming recruiting

0:01:24.000 --> 0:01:26.080
<v Speaker 1>class of young folks out of business school or something

0:01:26.120 --> 0:01:28.800
<v Speaker 1>that looks really representative of the overall population in terms

0:01:28.800 --> 0:01:32.080
<v Speaker 1>of gender and and and and ethnicity, but as you

0:01:32.120 --> 0:01:34.880
<v Speaker 1>go through the ranks, it really just becomes more male,

0:01:35.000 --> 0:01:38.400
<v Speaker 1>more white. And what do you think corporate America generally

0:01:38.440 --> 0:01:41.640
<v Speaker 1>can do to kind of support women's support minorities throughout

0:01:41.640 --> 0:01:44.400
<v Speaker 1>their career paths? Um, And you're right. We I think

0:01:44.440 --> 0:01:46.800
<v Speaker 1>we've solved the pipeline problem that used to be the

0:01:46.800 --> 0:01:49.480
<v Speaker 1>paradigm where are they we can't find them? Um? I

0:01:49.520 --> 0:01:52.440
<v Speaker 1>think we solved that problem. UM. But I think companies

0:01:52.520 --> 0:01:56.320
<v Speaker 1>have to look at um themselves holistically, what barriers that

0:01:56.400 --> 0:02:00.360
<v Speaker 1>they are that may be preventing people to success. UM.

0:02:00.400 --> 0:02:03.880
<v Speaker 1>You know, whether or not UM, we consider not just

0:02:04.080 --> 0:02:09.000
<v Speaker 1>things like you know, flex time, but frankly, equal pay. Um,

0:02:09.040 --> 0:02:12.000
<v Speaker 1>that's one way we can change the dynamic. And I

0:02:12.040 --> 0:02:13.960
<v Speaker 1>think more importantly, you know, I think one of the

0:02:14.000 --> 0:02:15.800
<v Speaker 1>messes out there is that, you know, we don't need

0:02:15.840 --> 0:02:18.240
<v Speaker 1>to fix the women, We need to fix the system.

0:02:18.280 --> 0:02:20.280
<v Speaker 1>And so I think companies need to be a lot

0:02:20.320 --> 0:02:24.480
<v Speaker 1>more intentional and approaching these issues and finding ways to

0:02:24.560 --> 0:02:27.440
<v Speaker 1>engage their employees UM in a better way. So what

0:02:27.480 --> 0:02:29.400
<v Speaker 1>are some reasons why? I mean, just to give a

0:02:29.440 --> 0:02:33.160
<v Speaker 1>sense of what you have done, because your career has

0:02:33.200 --> 0:02:37.320
<v Speaker 1>been storied, It's been tremendous, including UH being a corporate

0:02:37.400 --> 0:02:42.440
<v Speaker 1>transactional lawyer, Davis Polk, Latham and Watkins of the most

0:02:42.720 --> 0:02:47.360
<v Speaker 1>premier law firms. Why aren't there more women atop these

0:02:47.560 --> 0:02:51.320
<v Speaker 1>high paying fields that typically are among the most respected

0:02:51.360 --> 0:02:55.000
<v Speaker 1>in society. Well, you know, if I had to start

0:02:55.040 --> 0:02:57.320
<v Speaker 1>with the wise, why women aren't at the table, why

0:02:57.440 --> 0:03:01.760
<v Speaker 1>women aren't getting equal pay, why women aren't dancing? Frankly,

0:03:01.760 --> 0:03:04.480
<v Speaker 1>we could be here for a while. Um, so just

0:03:05.560 --> 0:03:07.920
<v Speaker 1>three minutes, um. But you know what I'd like to

0:03:08.040 --> 0:03:10.400
<v Speaker 1>focus much more on is is sort of the future.

0:03:10.480 --> 0:03:14.239
<v Speaker 1>And I quoted earlier May Jamison, who was the first

0:03:14.280 --> 0:03:18.280
<v Speaker 1>African American UH woman astronaut to travel in space, and

0:03:18.320 --> 0:03:22.519
<v Speaker 1>she said, the future never just happened, it was created.

0:03:23.120 --> 0:03:25.880
<v Speaker 1>And so I think it's our job to, you know,

0:03:25.960 --> 0:03:30.240
<v Speaker 1>harness our collective power, our knowledge to create a different future,

0:03:30.360 --> 0:03:32.560
<v Speaker 1>and the future that we really want to see. So

0:03:32.639 --> 0:03:35.240
<v Speaker 1>it's at at Seneca Women. I know you've created new

0:03:35.280 --> 0:03:38.880
<v Speaker 1>technology product to address some of these issues. So Seneca Connect,

0:03:38.920 --> 0:03:41.200
<v Speaker 1>can you tell us a little bit about that? Yes, So,

0:03:41.320 --> 0:03:45.000
<v Speaker 1>Seneca Connect is the first app design to advance women

0:03:45.040 --> 0:03:48.360
<v Speaker 1>at work and in the economy. We work with Apple

0:03:48.440 --> 0:03:51.400
<v Speaker 1>to create it. We were one of eleven women own

0:03:51.640 --> 0:03:56.280
<v Speaker 1>business entrepreneurs selected for the first Apple Entrepreneurship Camp and

0:03:56.280 --> 0:03:59.320
<v Speaker 1>I'm really excited about that and the fact that our

0:03:59.360 --> 0:04:03.040
<v Speaker 1>Apple is really trending wealth in the app store. You

0:04:03.040 --> 0:04:06.760
<v Speaker 1>can download it for free. We also have an enterprise

0:04:06.920 --> 0:04:10.000
<v Speaker 1>versions for corporations to help them create a much more

0:04:10.040 --> 0:04:13.040
<v Speaker 1>diverse and inclusive culture. How does it do that? What

0:04:13.080 --> 0:04:16.880
<v Speaker 1>does it actually do? So we give daily content tips

0:04:16.880 --> 0:04:20.440
<v Speaker 1>and tactics lessons from um more leaders. We give you

0:04:20.520 --> 0:04:24.200
<v Speaker 1>tools and resources that you can use to to move

0:04:24.720 --> 0:04:27.120
<v Speaker 1>to move the needle, if you will, and we use

0:04:27.160 --> 0:04:30.160
<v Speaker 1>it as a way for companies to engage their employees

0:04:30.560 --> 0:04:34.280
<v Speaker 1>with feedback, because we know with greater employee engagement, you

0:04:34.360 --> 0:04:39.200
<v Speaker 1>get better productivity, you get better profitability, and people feel

0:04:39.279 --> 0:04:42.360
<v Speaker 1>better about coming to work every day. Yeah. It's really

0:04:42.360 --> 0:04:45.400
<v Speaker 1>interesting and definitely something that we've seen again and again

0:04:45.440 --> 0:04:49.000
<v Speaker 1>showing that the broader the viewpoints, the broader, uh, the

0:04:49.160 --> 0:04:53.320
<v Speaker 1>diversity of people's backgrounds and experiences, the better the business case.

0:04:53.360 --> 0:04:56.760
<v Speaker 1>Have you found that most companies are receptive to that story. Well,

0:04:56.800 --> 0:04:58.960
<v Speaker 1>not only their receptive, but I think that the data

0:04:59.200 --> 0:05:03.080
<v Speaker 1>bear set out I think pretty much through all me tricks, um,

0:05:03.120 --> 0:05:05.839
<v Speaker 1>I think we're now sort of pass that that proof

0:05:05.880 --> 0:05:08.080
<v Speaker 1>if you will. It's just not doing it, yeah, which

0:05:08.120 --> 0:05:10.560
<v Speaker 1>is which is good. It's about doing it um. And

0:05:10.600 --> 0:05:12.839
<v Speaker 1>it's also about being you know, much more intentional in

0:05:12.920 --> 0:05:15.719
<v Speaker 1>terms of where we invest our money and UH and

0:05:15.839 --> 0:05:18.760
<v Speaker 1>making sure that we support women owned businesses. And I

0:05:18.800 --> 0:05:21.119
<v Speaker 1>think earlier I mentioned that only you know, two percent

0:05:21.160 --> 0:05:23.919
<v Speaker 1>of VC funds and four percent of bank loans go

0:05:24.000 --> 0:05:27.440
<v Speaker 1>to women owned businesses, which I find that troubling, particularly

0:05:27.480 --> 0:05:30.480
<v Speaker 1>given them out of wealth that women control, I think

0:05:30.480 --> 0:05:33.440
<v Speaker 1>we will be controlling something like seventy two twillion dollars

0:05:33.480 --> 0:05:38.040
<v Speaker 1>of global wealth by so we need to use that

0:05:38.120 --> 0:05:41.320
<v Speaker 1>money that we have in our big accounts and private

0:05:41.279 --> 0:05:43.800
<v Speaker 1>equity funds to make sure we can lend to women,

0:05:43.839 --> 0:05:45.840
<v Speaker 1>because it's puzzling to me why we can't use our

0:05:45.839 --> 0:05:48.080
<v Speaker 1>own money to lend to women. So yeah, the seventy

0:05:48.160 --> 0:05:52.240
<v Speaker 1>two trillion dollars in my bank account, Polly, I'll be

0:05:52.360 --> 0:05:55.159
<v Speaker 1>right there for Sharon Brown, Thank you so much. Sharon

0:05:55.200 --> 0:05:58.080
<v Speaker 1>is a partner at Seneca Women, also a former commissioner

0:05:58.080 --> 0:06:00.680
<v Speaker 1>of the US Commodity Futures Trading Commison. Thank you so much,

0:06:00.720 --> 0:06:02.560
<v Speaker 1>Thank you so much. Joining us here a Bloomberg at

0:06:02.560 --> 0:06:05.360
<v Speaker 1>Bloomberg Business of Equality Summit. Here at the Bloomberg HQ

0:06:05.480 --> 0:06:19.440
<v Speaker 1>in New York, we are broadcasting live from the Bloomberg

0:06:19.440 --> 0:06:23.160
<v Speaker 1>Business of Equality Summit at Bloomberg Headquarters in New York.

0:06:23.200 --> 0:06:26.440
<v Speaker 1>We are so excited to bring in our next guest,

0:06:26.520 --> 0:06:29.920
<v Speaker 1>Caroline Tasted, Group of President for North America for Procter

0:06:30.040 --> 0:06:34.040
<v Speaker 1>and Gamble, joining us after her panel on gender equality.

0:06:34.279 --> 0:06:37.200
<v Speaker 1>And I've got to say, when you talk about equality,

0:06:37.279 --> 0:06:40.599
<v Speaker 1>what is the ultimate goal? I mean, what is sort of, uh,

0:06:40.680 --> 0:06:44.279
<v Speaker 1>the best case scenario of a fully equal boardroom or

0:06:44.240 --> 0:06:48.679
<v Speaker 1>a fully equal company look like to you. Thanks Lasa.

0:06:48.800 --> 0:06:51.200
<v Speaker 1>It's a pleasure to be here. Uh. And what it

0:06:51.240 --> 0:06:54.800
<v Speaker 1>means to us from an overall standpoint for PNG is uh,

0:06:55.279 --> 0:06:58.240
<v Speaker 1>frankly winning. Uh. You know. So we know that when

0:06:58.360 --> 0:07:00.520
<v Speaker 1>we have any good, when we have an equal world,

0:07:00.560 --> 0:07:03.359
<v Speaker 1>when we create a world where we have equal voice

0:07:03.440 --> 0:07:07.680
<v Speaker 1>for women and men and for all individuals, that communities

0:07:07.720 --> 0:07:10.240
<v Speaker 1>are healthier, businesses thrived, the world's a better place for

0:07:10.280 --> 0:07:12.960
<v Speaker 1>all of us. And so from a business perspective, we

0:07:13.000 --> 0:07:16.000
<v Speaker 1>know it's a key contributor to growth. And so for me,

0:07:16.160 --> 0:07:19.520
<v Speaker 1>equality equals winning and a great place to work. So

0:07:20.160 --> 0:07:23.880
<v Speaker 1>within PNG, a global organization, a huge organization, what are

0:07:23.920 --> 0:07:27.200
<v Speaker 1>some success stories that have pushed equality and diversity through

0:07:27.200 --> 0:07:29.920
<v Speaker 1>in your organization? And then commercially, what are some of

0:07:29.960 --> 0:07:33.679
<v Speaker 1>the stumbling blocks you guys will come up against? Great question? Uh,

0:07:33.840 --> 0:07:36.960
<v Speaker 1>From a from an overall standpoint, we at P ANDNG

0:07:37.200 --> 0:07:40.680
<v Speaker 1>have what we call our principles, are values, our purpose

0:07:40.760 --> 0:07:43.840
<v Speaker 1>as a company, and so our value is very deeply

0:07:43.920 --> 0:07:47.080
<v Speaker 1>tied to a world where everybody gets to bring their

0:07:47.120 --> 0:07:51.800
<v Speaker 1>full self to work. So equality very broadly um identified

0:07:52.080 --> 0:07:55.840
<v Speaker 1>and we think about that from all types of intersectionality,

0:07:56.600 --> 0:07:59.880
<v Speaker 1>both visible and invisible. As you think about that, so

0:08:00.480 --> 0:08:02.480
<v Speaker 1>that's a core part of who we are as a company.

0:08:02.520 --> 0:08:04.200
<v Speaker 1>It's a really big part of why I'm still with

0:08:04.280 --> 0:08:06.680
<v Speaker 1>this company more than thirty years later. It's just a

0:08:06.680 --> 0:08:09.200
<v Speaker 1>great company to work for, and it's a company that

0:08:09.320 --> 0:08:13.920
<v Speaker 1>values individuals, and so that's certainly a starting point as

0:08:13.920 --> 0:08:17.239
<v Speaker 1>we think about equality. We also know that it's really

0:08:17.280 --> 0:08:20.239
<v Speaker 1>important what a company stands for. What a company works

0:08:20.280 --> 0:08:23.280
<v Speaker 1>on is important to the stakeholders around it, whether those

0:08:23.320 --> 0:08:29.160
<v Speaker 1>are investors, whether those are partners, consumers, customers, are employees.

0:08:29.520 --> 0:08:34.920
<v Speaker 1>It's really important today for companies to speak up on

0:08:35.000 --> 0:08:37.680
<v Speaker 1>issues that are important to all of those stakeholders, and

0:08:37.760 --> 0:08:40.040
<v Speaker 1>that's what we do with our citizenship voice. And one

0:08:40.080 --> 0:08:42.080
<v Speaker 1>of those part one of part of that voice is

0:08:42.120 --> 0:08:45.200
<v Speaker 1>really equality, whether it be gender equality, whether it be

0:08:45.240 --> 0:08:48.679
<v Speaker 1>diversity inclusion in a very broad in a very broad perspective.

0:08:48.840 --> 0:08:52.480
<v Speaker 1>So they're growing number of socially responsible funds and people

0:08:52.480 --> 0:08:55.720
<v Speaker 1>who are looking to investing companies that do focus more

0:08:55.800 --> 0:08:58.960
<v Speaker 1>on equality. How does one measure it? I mean, from

0:08:59.000 --> 0:09:03.520
<v Speaker 1>your perspective, how should people look at a more equal company?

0:09:03.559 --> 0:09:06.319
<v Speaker 1>What should that look like? It's a great We think

0:09:06.360 --> 0:09:09.600
<v Speaker 1>about it as equal representation, but we also think about

0:09:09.600 --> 0:09:12.080
<v Speaker 1>it as equal voice. And those might be different things.

0:09:12.120 --> 0:09:14.920
<v Speaker 1>It's hard to measure. It is hard to measure. Representations

0:09:15.040 --> 0:09:18.079
<v Speaker 1>not hard to measure. Representation is not hard to measure,

0:09:18.520 --> 0:09:22.559
<v Speaker 1>but you can also we all do company engagement surveys.

0:09:22.600 --> 0:09:25.680
<v Speaker 1>We all get feedback from our employees. We work very

0:09:25.679 --> 0:09:28.319
<v Speaker 1>hard to have dialogue so that we can get employees

0:09:28.360 --> 0:09:31.320
<v Speaker 1>feedback on what's working or not working. And so that's

0:09:31.320 --> 0:09:34.240
<v Speaker 1>where the engagement comes in. And you think about we

0:09:34.280 --> 0:09:37.720
<v Speaker 1>know that engagement drivers are for our employees are really

0:09:37.760 --> 0:09:39.720
<v Speaker 1>making sure that they have a company they can be

0:09:39.760 --> 0:09:41.839
<v Speaker 1>proud of, They have a they feel like they can

0:09:41.840 --> 0:09:44.760
<v Speaker 1>make a difference in the work that they do every day. Uh,

0:09:44.800 --> 0:09:47.520
<v Speaker 1>they have a place to really learn, to grow, to

0:09:47.640 --> 0:09:50.280
<v Speaker 1>advance their career. All of those are engagement drivers. And

0:09:50.360 --> 0:09:53.120
<v Speaker 1>a part of what delivers that for people is a

0:09:53.160 --> 0:09:56.240
<v Speaker 1>company that stands for things that are good. We want

0:09:56.240 --> 0:09:58.720
<v Speaker 1>to be a force for good within the world that

0:09:58.760 --> 0:10:01.240
<v Speaker 1>we live in today, with in the communities that are

0:10:01.280 --> 0:10:03.960
<v Speaker 1>people live, in the communities we serve, and we also

0:10:04.000 --> 0:10:06.640
<v Speaker 1>believe that when we integrate that, when we get that

0:10:07.000 --> 0:10:09.360
<v Speaker 1>right and it's fully integrated to the business, which is

0:10:09.400 --> 0:10:12.840
<v Speaker 1>always our intention, it always it also becomes a force

0:10:12.920 --> 0:10:15.520
<v Speaker 1>for good for growth. Rather, we're speaking with Carol and

0:10:15.600 --> 0:10:19.719
<v Speaker 1>Tested P and G North American Group President on diversity equality.

0:10:19.760 --> 0:10:21.640
<v Speaker 1>One of the ways I think we can measure it

0:10:21.720 --> 0:10:24.200
<v Speaker 1>is in the paycheck. And I know there's a US

0:10:24.280 --> 0:10:28.520
<v Speaker 1>government issue about paycheck transparency where you know, I guess

0:10:28.520 --> 0:10:30.840
<v Speaker 1>you have to report dated about you know, pay on

0:10:31.480 --> 0:10:33.280
<v Speaker 1>gender and race and so on and so forth. Does

0:10:33.320 --> 0:10:37.520
<v Speaker 1>that's the P AND embraces we look very carefully pay equality.

0:10:37.760 --> 0:10:40.080
<v Speaker 1>That we are very committed to pay equality and making

0:10:40.120 --> 0:10:43.160
<v Speaker 1>sure that we pay equally for equal work, equal pay

0:10:43.800 --> 0:10:47.839
<v Speaker 1>across any any aspect. And so we audit that externally,

0:10:47.920 --> 0:10:50.600
<v Speaker 1>we work on that internally, we measure it to make

0:10:50.640 --> 0:10:54.120
<v Speaker 1>sure we deliver pay equality, and we feel very good

0:10:54.120 --> 0:10:56.960
<v Speaker 1>about our work in that place. We have a very

0:10:57.040 --> 0:11:01.080
<v Speaker 1>very high correlation to equal pay, will work for women,

0:11:01.200 --> 0:11:05.120
<v Speaker 1>for men, for people of color. That said, the other

0:11:05.160 --> 0:11:07.319
<v Speaker 1>thing we said is a very high standard for ourselves.

0:11:07.640 --> 0:11:09.800
<v Speaker 1>We are not fifty fifty yet at the very top

0:11:09.840 --> 0:11:12.440
<v Speaker 1>of our company. We are committed to get there, but

0:11:12.480 --> 0:11:15.120
<v Speaker 1>we're not there yet. And if you think about all

0:11:15.160 --> 0:11:18.040
<v Speaker 1>of the studies from a pay equality and a pay transparency,

0:11:18.360 --> 0:11:22.520
<v Speaker 1>the biggest contributor to pay inequality is lack of women's

0:11:22.559 --> 0:11:26.120
<v Speaker 1>representation and people of color representation at the very top

0:11:26.160 --> 0:11:29.160
<v Speaker 1>of organizations. And so while we feel great about the

0:11:29.240 --> 0:11:33.440
<v Speaker 1>work that we do and our and our intentionality of

0:11:33.520 --> 0:11:37.160
<v Speaker 1>equal pay, equal work, we also know that we contribute

0:11:37.440 --> 0:11:40.520
<v Speaker 1>to the wealth gap by virtue of not having equal representation,

0:11:40.600 --> 0:11:43.080
<v Speaker 1>and we're very committed to closing that. Where are we

0:11:43.160 --> 0:11:45.600
<v Speaker 1>in terms of making progress in this front? Remember last

0:11:45.640 --> 0:11:47.679
<v Speaker 1>year we talked about some of the brands that Procter

0:11:47.800 --> 0:11:50.720
<v Speaker 1>and Gamble has, whether it's Bounty or charmin or Crest

0:11:50.800 --> 0:11:53.240
<v Speaker 1>and Dawn, and I'm thinking of the advertisements they'll see

0:11:53.240 --> 0:11:57.120
<v Speaker 1>on television, and they do represent you know, more diverse

0:11:57.200 --> 0:12:00.920
<v Speaker 1>families and different living situations. And we talked about how

0:12:00.920 --> 0:12:04.280
<v Speaker 1>that's conscious, it's it's it's very intentional thing. I'm wondering,

0:12:04.400 --> 0:12:07.520
<v Speaker 1>is there ever pushback from consumers, are from you know,

0:12:08.000 --> 0:12:11.600
<v Speaker 1>groups of people that perhaps aren't aren't necessarily you know,

0:12:11.800 --> 0:12:15.360
<v Speaker 1>loving that there can be. There certainly can be for

0:12:15.880 --> 0:12:18.560
<v Speaker 1>when we get it right for our consumers, for the

0:12:18.600 --> 0:12:21.600
<v Speaker 1>people were targeting. We we tend to do well, but

0:12:21.720 --> 0:12:24.160
<v Speaker 1>certainly there are situations where we take a stand on

0:12:24.240 --> 0:12:27.960
<v Speaker 1>things and it's uh and we get different reactions. So

0:12:28.360 --> 0:12:31.440
<v Speaker 1>you may have seen our Gillette campaign that we launched

0:12:31.480 --> 0:12:35.000
<v Speaker 1>in January, which is really all about believing in the

0:12:35.120 --> 0:12:37.920
<v Speaker 1>very best of men, believing in men, setting a great

0:12:38.520 --> 0:12:41.520
<v Speaker 1>role model for the next generation. But when we launched

0:12:41.520 --> 0:12:44.640
<v Speaker 1>that campaign, we had different reactions. Did you know that

0:12:44.679 --> 0:12:46.719
<v Speaker 1>it was going to be as controversially expected that it

0:12:46.760 --> 0:12:49.280
<v Speaker 1>would We expected that it would be and some of

0:12:49.320 --> 0:12:53.080
<v Speaker 1>the reaction, UM was a very orchestrated campaign in that

0:12:54.040 --> 0:12:57.440
<v Speaker 1>from that regard, but we really felt very committed to

0:12:57.480 --> 0:13:00.480
<v Speaker 1>the message. We feel very committed to be leaving in

0:13:00.520 --> 0:13:03.200
<v Speaker 1>the best of men. We feel very committed to what

0:13:03.280 --> 0:13:05.840
<v Speaker 1>men can do to take a stand and and role

0:13:05.880 --> 0:13:09.280
<v Speaker 1>model what we need in the next generation. And uh,

0:13:09.360 --> 0:13:11.520
<v Speaker 1>and we believe in the best of men. Do you

0:13:11.520 --> 0:13:13.760
<v Speaker 1>think that it ended up being a positive for the

0:13:13.840 --> 0:13:17.280
<v Speaker 1>business as well? I think it's I think it can

0:13:17.320 --> 0:13:18.959
<v Speaker 1>be a positive for the business. One of the things

0:13:19.000 --> 0:13:22.200
<v Speaker 1>that was really um noticeable, and you know, we measure

0:13:22.240 --> 0:13:27.440
<v Speaker 1>everything and we we failure. We worked to be very

0:13:27.480 --> 0:13:30.400
<v Speaker 1>authentic in our voice, because if you're not authentic, it

0:13:30.960 --> 0:13:33.800
<v Speaker 1>comes across as that. But certainly, if you think about

0:13:33.800 --> 0:13:36.640
<v Speaker 1>Generation Z or millennials under thirty, we had a very

0:13:36.640 --> 0:13:40.200
<v Speaker 1>positive reaction. They had a very positive reaction to that

0:13:40.400 --> 0:13:44.160
<v Speaker 1>entire campaign. UM. And frankly, our intention with that was

0:13:44.200 --> 0:13:47.200
<v Speaker 1>to spark a conversation, to spark a dialogue, to have

0:13:47.360 --> 0:13:51.240
<v Speaker 1>people talk about it and and learn and and create discussion.

0:13:51.280 --> 0:13:54.680
<v Speaker 1>And we certainly did that, and that was the intention. Carol. Then, Tasta,

0:13:54.720 --> 0:13:56.680
<v Speaker 1>thank you so much for joining us. Carol is a

0:13:56.720 --> 0:13:59.920
<v Speaker 1>group president for North America for Proctor and Gamble baseds Cincinnati,

0:13:59.920 --> 0:14:02.400
<v Speaker 1>of course, but joining us here at the Bloomberg Business

0:14:02.440 --> 0:14:05.840
<v Speaker 1>of Equality Summit at Bloomberg Headquarters in New York City.

0:14:05.880 --> 0:14:07.920
<v Speaker 1>We can we can all attest. It's very sunny out

0:14:07.920 --> 0:14:09.880
<v Speaker 1>to what I'm saying, we have said in our eyes

0:14:09.920 --> 0:14:12.439
<v Speaker 1>and everything. Carol, thank you so much. Clearly, Lisa, you

0:14:12.480 --> 0:14:15.920
<v Speaker 1>know a compelling issue for corporate America. You know, it's

0:14:15.960 --> 0:14:18.680
<v Speaker 1>I think that the data has been clear for years

0:14:18.720 --> 0:14:22.200
<v Speaker 1>that equality, diversity within the companies, within the board rooms,

0:14:22.200 --> 0:14:25.400
<v Speaker 1>it's good business. You see it in superior performance, So

0:14:25.440 --> 0:14:39.960
<v Speaker 1>that data is pretty clear. Well, Immigration and the accompanying

0:14:40.160 --> 0:14:43.880
<v Speaker 1>nationalism was certainly a central theme to the presidential election,

0:14:43.920 --> 0:14:47.040
<v Speaker 1>and it has become even more prominent under the Trump administration.

0:14:47.680 --> 0:14:50.880
<v Speaker 1>UM to see how business and political leaders are navigating

0:14:50.920 --> 0:14:53.800
<v Speaker 1>this complex issue. We welcome Ali Irani. Ali is the

0:14:53.840 --> 0:14:57.000
<v Speaker 1>executive director of the National Immigration Form based in Washington,

0:14:57.040 --> 0:14:59.640
<v Speaker 1>d C. But he joins us here today at the

0:14:59.680 --> 0:15:02.000
<v Speaker 1>bloom Burg Business of Equality Summit here at the Bloomberg

0:15:02.040 --> 0:15:06.720
<v Speaker 1>headquarters in New York. Ali, welcome to Bloomberg. You know,

0:15:06.760 --> 0:15:09.960
<v Speaker 1>how does immigration reform and the rise of nationalism impact

0:15:10.360 --> 0:15:13.560
<v Speaker 1>corporate America? How how's corporate America dealing with this? We

0:15:13.560 --> 0:15:15.400
<v Speaker 1>we know it's a political issue, but how is it

0:15:15.440 --> 0:15:18.200
<v Speaker 1>from the business perspective? Well, our senses that corporate America

0:15:18.280 --> 0:15:21.640
<v Speaker 1>is really trying to parse out the politics from the policy. Uh.

0:15:21.680 --> 0:15:24.440
<v Speaker 1>You know, clearly this is a really intense political debate

0:15:24.440 --> 0:15:27.520
<v Speaker 1>at the national level, but corporate leadership across the country

0:15:27.840 --> 0:15:30.440
<v Speaker 1>is really trying to understand how do they serve their

0:15:30.440 --> 0:15:34.120
<v Speaker 1>immigrant consumers, but also how do they integrate and support

0:15:34.160 --> 0:15:36.760
<v Speaker 1>their foreign board workforce and really kind of create a

0:15:36.800 --> 0:15:40.040
<v Speaker 1>corporate family culture. Um. We've been actually working closely with

0:15:40.160 --> 0:15:44.200
<v Speaker 1>corporations from Walmart to Chobani, to Commons and and many

0:15:44.240 --> 0:15:48.360
<v Speaker 1>others to really help them, uh, develop the strategies to

0:15:48.520 --> 0:15:51.560
<v Speaker 1>better integrate their foreign board workforce and provide the skills

0:15:51.560 --> 0:15:54.240
<v Speaker 1>and opportunities so that all of us can thrive. So

0:15:54.560 --> 0:15:57.400
<v Speaker 1>you've been doing this a long time, right, how much

0:15:57.760 --> 0:15:59.600
<v Speaker 1>is what we're seeing now in terms of the wave

0:15:59.640 --> 0:16:03.680
<v Speaker 1>of now tionalism different from periods of time in the past,

0:16:04.080 --> 0:16:05.720
<v Speaker 1>both that you've seen as well as just in the

0:16:05.760 --> 0:16:07.720
<v Speaker 1>history books in the United States, if you look at

0:16:07.760 --> 0:16:10.440
<v Speaker 1>the history books. Uh, I mean, the sad part of

0:16:10.480 --> 0:16:12.520
<v Speaker 1>our nation, Sistor, is that we have a long track

0:16:12.600 --> 0:16:14.560
<v Speaker 1>record of not being very nice to the people who

0:16:14.560 --> 0:16:16.840
<v Speaker 1>come after us. Um, you know, the turn of the

0:16:16.920 --> 0:16:19.640
<v Speaker 1>nineteenth century. Uh, you know, there have been peaks and

0:16:19.680 --> 0:16:22.640
<v Speaker 1>valids of this debate. What's different now is that we

0:16:22.800 --> 0:16:27.440
<v Speaker 1>have a media environment that is very quick, is very partisan,

0:16:27.760 --> 0:16:30.840
<v Speaker 1>and brings that picture, that sound of the family fleeing

0:16:30.920 --> 0:16:34.760
<v Speaker 1>violence or corruption or poverty to your living room. So

0:16:34.880 --> 0:16:37.960
<v Speaker 1>there's a perception or feeling that, you know, the refugee

0:16:37.960 --> 0:16:40.360
<v Speaker 1>fleeing Syria, the migrant fleeing Honduras is going to be

0:16:40.360 --> 0:16:43.560
<v Speaker 1>your next door neighbor tomorrow. So what can leaders do

0:16:43.600 --> 0:16:46.120
<v Speaker 1>in the corporate sector, in the public sector due to

0:16:46.160 --> 0:16:49.200
<v Speaker 1>help the American public understand global migration? I mean, look,

0:16:49.240 --> 0:16:51.720
<v Speaker 1>this is going to be one of the top issues

0:16:52.040 --> 0:16:55.760
<v Speaker 1>for generations to come. Sixty million people are forcibly displaced. Today,

0:16:55.960 --> 0:16:59.680
<v Speaker 1>over two fifty million people live in another outside of

0:16:59.720 --> 0:17:01.960
<v Speaker 1>their home country. This issue isn't going away. We need

0:17:02.040 --> 0:17:05.040
<v Speaker 1>leadership from the corporate sector, which is emerging UM, as

0:17:05.040 --> 0:17:08.679
<v Speaker 1>well as from the elected officials. So you've traveled to

0:17:08.880 --> 0:17:12.639
<v Speaker 1>Honduras to Mexico. You've seen what the US southern border

0:17:12.680 --> 0:17:15.080
<v Speaker 1>issue is on the other side. What what are some

0:17:15.160 --> 0:17:17.199
<v Speaker 1>of your experiences there. So a few weeks ago as

0:17:17.240 --> 0:17:19.720
<v Speaker 1>part of a delegation that went from San Pedro Sula

0:17:19.840 --> 0:17:23.440
<v Speaker 1>in Honduras to El Paso and into Juarez. And what's

0:17:23.480 --> 0:17:25.520
<v Speaker 1>really clear is that in a country like Honduras it's

0:17:25.560 --> 0:17:29.480
<v Speaker 1>just eight million people, not a very large country population wise, UM,

0:17:29.560 --> 0:17:32.040
<v Speaker 1>it is a very it's undergoing a very very toxic

0:17:32.119 --> 0:17:35.639
<v Speaker 1>mix of corruption, violence and poverty. So people are now

0:17:35.640 --> 0:17:37.440
<v Speaker 1>at this point they're saying, you know what, as a group,

0:17:37.800 --> 0:17:39.920
<v Speaker 1>we can be safe by walking to the US to

0:17:40.000 --> 0:17:44.040
<v Speaker 1>seek asylum and safety. This administration, unfortunately, has done everything

0:17:44.080 --> 0:17:46.439
<v Speaker 1>in their power to stop people from being able to

0:17:46.440 --> 0:17:49.080
<v Speaker 1>seek asylum. The amazing part is that when we were

0:17:49.080 --> 0:17:51.760
<v Speaker 1>in Ola Passo, you have the faith community, the business community,

0:17:51.880 --> 0:17:54.080
<v Speaker 1>law enforcement who want to make sure that people can

0:17:54.119 --> 0:17:56.800
<v Speaker 1>apply for asylum in a safe and fair way. If

0:17:56.800 --> 0:17:59.280
<v Speaker 1>people don't apply or don't are not eligible, they should

0:17:59.280 --> 0:18:01.440
<v Speaker 1>they shouldn't be out to remain. So we're not saying

0:18:01.440 --> 0:18:02.920
<v Speaker 1>everybody should be able to come. We should be able

0:18:02.920 --> 0:18:04.680
<v Speaker 1>to say if people are seeking asylum, they should be

0:18:04.720 --> 0:18:06.760
<v Speaker 1>able to apply for asylum. So one of the big

0:18:06.880 --> 0:18:11.879
<v Speaker 1>arguments against allowing having an easier policy of bringing in

0:18:11.960 --> 0:18:15.640
<v Speaker 1>immigrants is that they will take jobs and they will

0:18:15.720 --> 0:18:18.960
<v Speaker 1>accept lower wages than people who are already in the

0:18:19.040 --> 0:18:22.840
<v Speaker 1>United States will accept, and that will drive down how

0:18:22.920 --> 0:18:25.879
<v Speaker 1>much people get paid. What have you seen with respect

0:18:26.080 --> 0:18:29.560
<v Speaker 1>to that? And uh, you know, is that is anything

0:18:29.640 --> 0:18:31.920
<v Speaker 1>changing on that front? Yeah, So a few years ago

0:18:31.960 --> 0:18:34.600
<v Speaker 1>there's a national Caddegis of Science panel that get the

0:18:34.680 --> 0:18:38.320
<v Speaker 1>leading academics in the country looking at precisely this question. Um,

0:18:38.320 --> 0:18:40.000
<v Speaker 1>and we have to be honest about it. Um. At

0:18:40.000 --> 0:18:42.560
<v Speaker 1>the high skill or even the middle skill level, there

0:18:42.720 --> 0:18:45.600
<v Speaker 1>is no impact and it grows quickly. At the positive

0:18:45.600 --> 0:18:48.199
<v Speaker 1>impact grows quickly over time. That's the h one B

0:18:48.400 --> 0:18:51.720
<v Speaker 1>issue probably probably right at the lower skill is level

0:18:51.800 --> 0:18:54.560
<v Speaker 1>of their economy, there is a small impact on wages.

0:18:54.640 --> 0:18:57.480
<v Speaker 1>We're talking you know, one percent impact more or less

0:18:57.880 --> 0:19:01.240
<v Speaker 1>that impact. Negative impact dissipates quite quickly as you move

0:19:01.880 --> 0:19:05.520
<v Speaker 1>through time, so net benefit to the economy at large

0:19:05.840 --> 0:19:09.440
<v Speaker 1>is positive. The questions that American workers have and their

0:19:09.440 --> 0:19:11.960
<v Speaker 1>families have, because ultimately we all want the same thing.

0:19:12.000 --> 0:19:14.359
<v Speaker 1>We want our children to do better than us, is real.

0:19:14.640 --> 0:19:17.159
<v Speaker 1>So I think as advocates, as corporate leaders, we have

0:19:17.280 --> 0:19:20.320
<v Speaker 1>to be honest about that conversation and help people understand

0:19:20.359 --> 0:19:24.199
<v Speaker 1>that immigrants are creating jobs, they're protecting American values, and

0:19:24.280 --> 0:19:26.400
<v Speaker 1>ultimately they are like the rest of us. They want

0:19:26.400 --> 0:19:28.479
<v Speaker 1>to make sure their children gonna do better than them. So,

0:19:28.600 --> 0:19:32.520
<v Speaker 1>in this very politicized environment as it relates to immigration,

0:19:32.640 --> 0:19:35.919
<v Speaker 1>what are you seeing from corporate America from the boardrooms?

0:19:35.920 --> 0:19:39.080
<v Speaker 1>How aggressive can they be in this environment? Well, you know,

0:19:39.480 --> 0:19:42.720
<v Speaker 1>um Lift is an amazing example. Right. So they're in

0:19:42.760 --> 0:19:44.639
<v Speaker 1>the news right now because of the their pending I

0:19:44.760 --> 0:19:48.439
<v Speaker 1>p O they released yesterday and news that they are

0:19:48.480 --> 0:19:51.720
<v Speaker 1>working with US the National Immigration Forum to help their

0:19:51.800 --> 0:19:54.920
<v Speaker 1>drivers improve their English language skills. This is a program

0:19:54.960 --> 0:19:57.640
<v Speaker 1>that was initially funded by the Walmart Foundation. We're also

0:19:57.680 --> 0:20:00.960
<v Speaker 1>working with Whole Foods and Kroger's and a number of others,

0:20:00.960 --> 0:20:03.560
<v Speaker 1>but for a lift to say we are a socially

0:20:03.600 --> 0:20:06.879
<v Speaker 1>responsible company. We're gonna do good by our drivers because

0:20:06.960 --> 0:20:11.880
<v Speaker 1>that makes us more responsible American citizen. UM. I think

0:20:12.040 --> 0:20:16.600
<v Speaker 1>is is not just reassuring, but it's inspiring to hopefully

0:20:16.600 --> 0:20:19.760
<v Speaker 1>the rest of the corporate community. Are there any industries

0:20:19.800 --> 0:20:23.159
<v Speaker 1>just quickly here that are suffering right now as a

0:20:23.160 --> 0:20:26.919
<v Speaker 1>result of reduced immigration to the United States. Oh, the

0:20:26.960 --> 0:20:29.159
<v Speaker 1>list can go on and on. Um uh. You know,

0:20:29.200 --> 0:20:31.360
<v Speaker 1>so if we want to maintain three percent GDP as

0:20:31.359 --> 0:20:33.920
<v Speaker 1>a nation, we've got to figure out our immigration system.

0:20:33.960 --> 0:20:37.360
<v Speaker 1>We need a functioning legal immigration system that provides adequate

0:20:37.400 --> 0:20:40.600
<v Speaker 1>labor for the agricultural sector, not just seasonal but year

0:20:40.680 --> 0:20:46.400
<v Speaker 1>round labor like the dairy industry, UM, the service sector, hotels, um. Processing,

0:20:46.880 --> 0:20:50.520
<v Speaker 1>but interestingly, even the manufacturing sector in the middle of America,

0:20:50.840 --> 0:20:54.840
<v Speaker 1>they are you know, really scrambling for not just labor

0:20:54.880 --> 0:20:57.080
<v Speaker 1>at large, but you know, the folks that can do

0:20:57.119 --> 0:21:00.840
<v Speaker 1>the advanced manufacturing. UM. So it's us very easy for

0:21:00.840 --> 0:21:03.520
<v Speaker 1>this conversation becomes political and a kind of a war

0:21:03.560 --> 0:21:05.640
<v Speaker 1>of talking points. But when you look at the data,

0:21:05.680 --> 0:21:08.320
<v Speaker 1>when you talk to families and business leaders at the

0:21:08.320 --> 0:21:10.280
<v Speaker 1>local level, they're saying, you know, what we need a

0:21:10.280 --> 0:21:14.280
<v Speaker 1>functioning immigration system their folks. Ali Rani, executive director of

0:21:14.359 --> 0:21:17.359
<v Speaker 1>the National Immigration Forum in Washington, d C. Joining us

0:21:17.359 --> 0:21:19.720
<v Speaker 1>here in New York for the Bloomberg Business of Equality

0:21:19.880 --> 0:21:24.200
<v Speaker 1>Summit held it the headquarters here. Really interesting to hear

0:21:24.280 --> 0:21:27.600
<v Speaker 1>about immigration when whenever we talk to corporate leaders, they

0:21:27.600 --> 0:21:30.720
<v Speaker 1>all talk about how they do kind of rely frankly

0:21:30.720 --> 0:21:33.800
<v Speaker 1>on people coming in in order to fill their ranks.

0:21:45.160 --> 0:21:49.000
<v Speaker 1>As automation in high tech continues to rise across the economy,

0:21:49.040 --> 0:21:52.919
<v Speaker 1>workers must continuously retrain to remain competitive. To help us

0:21:53.040 --> 0:21:56.480
<v Speaker 1>dig into this growing issue, we welcome Jake Schwartz Jacobs,

0:21:56.480 --> 0:21:59.399
<v Speaker 1>co founder, chief executive officer of General Assembly. He joins

0:21:59.480 --> 0:22:02.320
<v Speaker 1>us here in New York at our headquarters. Jake, thanks

0:22:02.440 --> 0:22:04.360
<v Speaker 1>very much for joining us. I wonder if you could

0:22:04.359 --> 0:22:06.280
<v Speaker 1>give us a sense of kind of the skills gap

0:22:06.359 --> 0:22:09.359
<v Speaker 1>that we hear about a lot. As technology continues to

0:22:09.880 --> 0:22:12.640
<v Speaker 1>permeate throughout the economy, a lot of workers feel displaced

0:22:12.640 --> 0:22:16.359
<v Speaker 1>in The technological gap is often cited. What what is

0:22:16.400 --> 0:22:18.760
<v Speaker 1>going on out there in the economy and in our business.

0:22:18.800 --> 0:22:21.640
<v Speaker 1>Is doing the right thing to retrain? Yeah? Well, um,

0:22:21.680 --> 0:22:24.200
<v Speaker 1>I mean that's a big set of questions really, because

0:22:24.200 --> 0:22:28.280
<v Speaker 1>we're talking about essentially the entire economy UM. I think

0:22:28.359 --> 0:22:31.159
<v Speaker 1>I think we can sort of divide it up into

0:22:31.240 --> 0:22:34.719
<v Speaker 1>a couple of core issues. I would say probably the

0:22:34.760 --> 0:22:40.480
<v Speaker 1>biggest is that almost every company, regardless of industry, regardless

0:22:40.480 --> 0:22:45.520
<v Speaker 1>of location or size, UM, regardless of how previously sort

0:22:45.560 --> 0:22:50.200
<v Speaker 1>of dominant and competitively advantaged it was UM, is now

0:22:50.280 --> 0:22:56.480
<v Speaker 1>sort of faced with a serious UM mandate to transform

0:22:56.560 --> 0:23:00.879
<v Speaker 1>themselves into a software company, a data com company, a

0:23:00.960 --> 0:23:07.280
<v Speaker 1>cloud company, UM. Mostly because the threat and opportunity that

0:23:07.359 --> 0:23:13.120
<v Speaker 1>those technologies UM offer right now are so fundamentally large

0:23:13.520 --> 0:23:15.560
<v Speaker 1>that it is if they don't take it, there's an

0:23:15.600 --> 0:23:18.200
<v Speaker 1>opportunity for new entrance to come in and eat their lunch.

0:23:18.680 --> 0:23:23.600
<v Speaker 1>So if you look across consumer, industrial, financial services, mining,

0:23:23.640 --> 0:23:26.280
<v Speaker 1>I mean, you name it, there is some sort of

0:23:26.320 --> 0:23:30.919
<v Speaker 1>digital transformation at a foot that is become sort of

0:23:30.920 --> 0:23:34.520
<v Speaker 1>a fundamental existential question for that company, and they need

0:23:34.560 --> 0:23:38.760
<v Speaker 1>people to do that. Now. What's funny about this is

0:23:38.800 --> 0:23:42.359
<v Speaker 1>that UM, because you know, while these changes have always

0:23:42.359 --> 0:23:45.040
<v Speaker 1>happened in the past, and there's been upheavals, creative destruction,

0:23:45.080 --> 0:23:47.879
<v Speaker 1>all that stuff in capitalism, it's all great, UM. The

0:23:47.920 --> 0:23:51.760
<v Speaker 1>reality is, I'm not sure if ever, before every industry

0:23:51.760 --> 0:23:53.919
<v Speaker 1>and every company of those industries have been searching for

0:23:53.960 --> 0:23:58.119
<v Speaker 1>the exact same types of talent at the exact same times,

0:23:58.840 --> 0:24:00.240
<v Speaker 1>and so you can almost think of a it's like

0:24:00.280 --> 0:24:02.160
<v Speaker 1>a run on the banks, right, but it's the run

0:24:02.160 --> 0:24:05.880
<v Speaker 1>on the data scientists. Yeah, I mean, And that's basically

0:24:05.920 --> 0:24:10.000
<v Speaker 1>what General Assembly does, right, is that you retrain We

0:24:10.080 --> 0:24:14.040
<v Speaker 1>do people in data science, right, data science, software engineering,

0:24:14.400 --> 0:24:17.680
<v Speaker 1>product management, ux design, all of these skills that are

0:24:17.680 --> 0:24:20.919
<v Speaker 1>sort of so new, um, but so important to be

0:24:21.000 --> 0:24:24.919
<v Speaker 1>able to actually make the stuff that allows you to

0:24:25.000 --> 0:24:27.720
<v Speaker 1>be a digital company or a software company or a

0:24:27.800 --> 0:24:31.640
<v Speaker 1>data driven decision making company. And we certainly hear CEO

0:24:31.760 --> 0:24:34.480
<v Speaker 1>say all the time that they struggle to find the

0:24:34.600 --> 0:24:36.920
<v Speaker 1>workers that have the skills that they need to fill

0:24:36.960 --> 0:24:39.919
<v Speaker 1>the jobs that they have. My question is is it

0:24:40.119 --> 0:24:43.520
<v Speaker 1>enough to simply teach data science to somebody or to

0:24:43.560 --> 0:24:48.600
<v Speaker 1>give them specific wrote skills, or is there something fundamentally

0:24:48.640 --> 0:24:52.000
<v Speaker 1>amiss in sort of the whole education system that leaves

0:24:52.040 --> 0:24:55.399
<v Speaker 1>people unable to do certain things, that leaves a limited

0:24:55.440 --> 0:24:59.520
<v Speaker 1>pool of people who are able to complete the tasks. Um. Well,

0:24:59.560 --> 0:25:03.359
<v Speaker 1>I tend to opt for the viewpoint that most humans

0:25:03.520 --> 0:25:07.520
<v Speaker 1>have pretty elastic brains and can learn different things. Now,

0:25:07.560 --> 0:25:10.520
<v Speaker 1>perhaps that's a different levels and there's different levels of

0:25:10.600 --> 0:25:14.120
<v Speaker 1>interest and engagement for different individuals around different subject matter

0:25:14.160 --> 0:25:18.400
<v Speaker 1>and that's fine. But um, at the same time, yes,

0:25:18.440 --> 0:25:22.080
<v Speaker 1>there is something fundamentally wrong with our educational system. And

0:25:23.119 --> 0:25:24.719
<v Speaker 1>I mean, when we're talking about skills gap, I mean

0:25:24.760 --> 0:25:26.200
<v Speaker 1>I just have to worry how much is just sort

0:25:26.200 --> 0:25:29.000
<v Speaker 1>of like this there is. But we have lived in

0:25:29.000 --> 0:25:33.000
<v Speaker 1>a century where UM education was not particularly that the

0:25:33.080 --> 0:25:37.000
<v Speaker 1>infrastructure of education. The institutions were not really held accountable

0:25:37.440 --> 0:25:40.800
<v Speaker 1>to UH, Corporate America or the labor markets to say,

0:25:40.880 --> 0:25:42.600
<v Speaker 1>are you giving us what we need? Are you being

0:25:42.880 --> 0:25:45.320
<v Speaker 1>And they weren't being held accountable by the students themselves either.

0:25:45.359 --> 0:25:48.440
<v Speaker 1>They weren't being held accountable really by their main customer,

0:25:48.680 --> 0:25:50.480
<v Speaker 1>which for the most of the time was the government,

0:25:50.680 --> 0:25:53.080
<v Speaker 1>right who was the payer for for all of this stuff.

0:25:53.359 --> 0:25:56.359
<v Speaker 1>So there was a huge accountability gap. Now that doesn't

0:25:56.400 --> 0:25:59.480
<v Speaker 1>mean that all that education is fully wasted. It's just

0:25:59.560 --> 0:26:03.400
<v Speaker 1>dramatically inefficient. And I think you see that all the time. Um,

0:26:03.440 --> 0:26:04.960
<v Speaker 1>when I went to liberal arts called I went to

0:26:05.000 --> 0:26:06.960
<v Speaker 1>a fancy liberal arts college, thought I was learning all

0:26:07.040 --> 0:26:09.480
<v Speaker 1>this great stuff, But I remember, whenever I get really

0:26:09.480 --> 0:26:11.480
<v Speaker 1>interested in learning a skill because like a you know,

0:26:11.520 --> 0:26:13.680
<v Speaker 1>a job I wanted outside would would have it. I

0:26:13.720 --> 0:26:15.560
<v Speaker 1>would ask, like a professor, hey, where can I go

0:26:15.720 --> 0:26:18.640
<v Speaker 1>learn that here? And and it would always be, oh,

0:26:18.680 --> 0:26:25.359
<v Speaker 1>we don't do practical skills. It's this like taboo thing. No, no, no,

0:26:25.400 --> 0:26:28.080
<v Speaker 1>we're not here to do practical stuff. And it was

0:26:28.119 --> 0:26:31.639
<v Speaker 1>almost like this sign of of being down in the

0:26:31.640 --> 0:26:34.479
<v Speaker 1>gutter with the people if you were if you were

0:26:34.520 --> 0:26:37.840
<v Speaker 1>teaching practical things right, vocational schools for people who couldn't

0:26:37.920 --> 0:26:41.560
<v Speaker 1>hack it in algebra class, right. And And I think

0:26:42.160 --> 0:26:45.360
<v Speaker 1>that mentality was what when we started General Assembly back

0:26:45.359 --> 0:26:47.520
<v Speaker 1>in two thousand and ten, what was what we were

0:26:47.560 --> 0:26:49.520
<v Speaker 1>trying to sort of attack head on. And we were

0:26:49.560 --> 0:26:51.679
<v Speaker 1>trying to build the something that was sort of a

0:26:51.720 --> 0:26:55.760
<v Speaker 1>mix of vocational training from a para paradigm perspective, but

0:26:55.840 --> 0:26:59.320
<v Speaker 1>with the sort of branding and social cachet of graduate

0:26:59.359 --> 0:27:01.800
<v Speaker 1>school so that bowl wouldn't be afraid to sort of

0:27:02.040 --> 0:27:05.520
<v Speaker 1>come to do it. And we were, you know, surprisingly

0:27:05.560 --> 0:27:08.000
<v Speaker 1>successful at it. Well, so, Jake, it didn't it didn't

0:27:08.280 --> 0:27:10.120
<v Speaker 1>serve you too badly to go to the fancy liberal

0:27:10.160 --> 0:27:12.800
<v Speaker 1>arts college. After probably will say J. Schwartz, co founder

0:27:12.800 --> 0:27:15.040
<v Speaker 1>and chief executive officer of General Assembly. Thank you so

0:27:15.119 --> 0:27:18.480
<v Speaker 1>much for joining us. Thanks for listening to the Bloomberg

0:27:18.520 --> 0:27:20.760
<v Speaker 1>P and L podcast. You can subscribe and listen to

0:27:20.760 --> 0:27:24.000
<v Speaker 1>interviews at Apple Podcasts or whatever podcast platform you prefer.

0:27:24.240 --> 0:27:26.879
<v Speaker 1>I'm Paul Sweeney. I'm on Twitter at pt Sweeney. I'm

0:27:26.920 --> 0:27:29.800
<v Speaker 1>Lisa Abram Woyds. I'm on Twitter at Lisa abramwo wits one.

0:27:30.040 --> 0:27:32.680
<v Speaker 1>Before the podcast, you can always catch us worldwide. I'm

0:27:32.680 --> 0:27:33.520
<v Speaker 1>Bloomberg Radio