WEBVTT - Most Companies Aren't Anywhere Near Ready for AI

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<v S1>Most companies aren't anywhere near ready for AI, and it's

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<v S1>not that they aren't using AI, it's that they can't

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<v S1>use AI. Most of the frustration people have with AI

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<v S1>not being able to do what they want is actually

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<v S1>them not being able to describe what they want. I've

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<v S1>consulted for the world's largest companies hundreds of startups, tons

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<v S1>of mid-sized companies, and lots of companies in the global 1000.

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<v S1>And the number one issue I see is unclear and

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<v S1>constantly changing vision and goals. AI is about execution, and

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<v S1>it's quite powerless when it doesn't know what to execute.

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<v S1>Companies that know exactly what they want are thriving with AI,

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<v S1>and the better the AI gets, the more they will

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<v S1>crush it. But this is a small percentage of companies,

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<v S1>because only a small percentage of companies are self-aware and

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<v S1>together enough to give AI proper instructions. You can't optimize

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<v S1>what you don't understand, and it's foolish to scale something

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<v S1>that you shouldn't be doing in the first place. People

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<v S1>talk about companies not being ready for AI, and I

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<v S1>don't think they realize how bad the problem is. this

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<v S1>is not a technical maturity issue. It's a whole lot

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<v S1>more fundamental than that. A massive percentage of companies are

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<v S1>haphazardly successful despite themselves. It's not super clear what they

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<v S1>were trying to accomplish or how exactly they're doing it,

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<v S1>but they have a few tricks that work that they're

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<v S1>decent enough at executing, that they're still around. But if

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<v S1>you were to walk into the company and say, okay,

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<v S1>describe to me what you're trying to do and what

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<v S1>your strategies are and your challenges are and what your

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<v S1>work streams are, they would either stare blankly at you

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<v S1>or laugh in your face. It would take them weeks

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<v S1>to put together a project to find that out, and

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<v S1>then months to actually do the project. And of course,

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<v S1>by the time you got done, it would be out

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<v S1>of date. I honestly believe the vast majority of companies

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<v S1>are in grave danger because they are essentially chaotic black

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<v S1>boxes that barely work. Having the board or leadership tell

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<v S1>everyone in a company to use AI is like looking

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<v S1>at a screen of nothing but static and saying, we

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<v S1>got to scale this thing. So worker says, cool, boss.

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<v S1>Do me a favor and point to the thing you

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<v S1>want me to improve. And the boss, like, pauses for

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<v S1>a little bit and says, yeah, great question. Let's get

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<v S1>some meetings together to figure that out. AI is mostly

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<v S1>useless in these companies, and unfortunately, that means many, if

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<v S1>not most companies. Their narrative right now is that AI

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<v S1>isn't helping enough companies yet. So what's the problem? When

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<v S1>will AI get good enough? Maybe AI isn't as good

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<v S1>as people thought. What's hilarious and easy to see is

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<v S1>that the company's AI is helping are somehow, magically the

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<v S1>same companies that already know what they're doing. They can

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<v S1>tell you very quickly the problem or problems that they're

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<v S1>solving for customers. The problem with existing solutions that their

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<v S1>solution solves, the goals that they have for the company,

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<v S1>the metrics associated with those goals, the challenges that are

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<v S1>stopping them from reaching their goals, the strategies that they

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<v S1>are pursuing to overcome those challenges, the projects that they're

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<v S1>doing to implement those strategies, the work that's being done

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<v S1>within those projects by what people and how much it's

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<v S1>costing them. And crucially, companies that know what they're doing

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<v S1>give largely the same answers to these questions across different

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<v S1>quarters and years. A sure sign of a flailing company

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<v S1>is when their departments mean massive amounts of time claiming

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<v S1>to have these answers. But the answers significantly change every

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<v S1>quarter because everything is constantly in flux. So people are

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<v S1>basically just writing down whatever they think makes them look

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<v S1>good as a manager or as a department or whatever.

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<v S1>It takes them weeks to prepare, only to be discarded

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<v S1>a few weeks later when the process starts over again.

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<v S1>AI can basically do nothing for these companies. In fact,

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<v S1>it could even make it worse because now it helps

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<v S1>people flail more impressively, like with more backflips and charts

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<v S1>and stuff. And you may ask, well, if they're so bad,

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<v S1>how are these companies still around? And the answer is

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<v S1>simple most of their competition is just as bad. So

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<v S1>what's the point of all this? A few things I

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<v S1>think we can take away from this. AI has barely

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<v S1>even started in the enterprise, because only a tiny fraction

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<v S1>of companies have the self-knowledge and ability to articulate themselves

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<v S1>well enough to be ready for AI. Two, we should

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<v S1>stop looking at AI as the problem, or even technology

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<v S1>as the problem. The issue is not being able to

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<v S1>describe one's company clearly, including its goals, workflows, operations, decisions, teams,

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<v S1>and spending in a clear and consumable fashion. Three companies

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<v S1>who are unable to do this are in grave danger

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<v S1>from the companies who can. For the primary danger to large,

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<v S1>unwieldy companies is that it's now possible for a smaller

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<v S1>company to function with the strength of a much larger one.

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<v S1>And it's far easier for a small company to be

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<v S1>able to answer the questions above. And because of this,

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<v S1>all existing companies are about to face extraordinary downward force,

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<v S1>and only companies who have their shit together will stay

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<v S1>afloat and rise. AI is a remarkably small part of

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<v S1>who will win or lose in this initial phase. AI

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<v S1>is what the winners will use to fight each other

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<v S1>in the new world. But right now, the game is

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<v S1>figuring out who's going to make it there. The number

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<v S1>one question you should be asking yourself as a company

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<v S1>is not what AI can do for you, but whether

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<v S1>or not your company is in the state where AI

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<v S1>can help at all. And if not, you need to

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<v S1>get into that state as quickly as possible.