Why You Must Be an AI Optimist (Or Get Mowed Down)

I'm gonna make you a bet right now. By the end of this video, you are going to be an AI optimist. That's right, an optimist, not one of these doomers. And it's not because I'm gonna sell you something, and not because I'm gonna show you some highlight reel of cool demos or videos, but because of the data, the actual peer-reviewed, Federal Reserve-cited, Stanford-published data that gives you no other rational choice. And if you're still a doomer after this, I'm gonna steel man that case for you too, so that you have a good argument to make with your friends, even though you're wrong.

Now, genuinely, because the people raising the alarm, they, they deserve to be listened to, n-not just dismissed. Just because they're wrong by being AI doomers doesn't mean that their opinions do not have some merit, and there aren't things that we can learn from them. But here's what I know. You don't get credit for being right about the risks if you also missed the wave. So let's get into this.

My name is Ryan Hanley. I've built and sold multiple companies specifically because of AI operating systems that were built inside of them. I've delivered more than four hundred keynotes on human performance and the future of work, and I have been living what I teach every single day. It's not theory, and I have all the lumps and scars to deal with it. In fact, I'm writing a book on the topics that we talk about on this channel called Easy Mode.

What is that thing that you do that looks like cheating to everyone else? That is the secret. Finding that thing is the secret to dominating the age of AI. What is your human easy mode? That, the thing you do that looks like cheating to everyone else.

Now, I don't wanna start with predictions. I wanna start with facts, things that have already happened, numbers that have already been measured, things that we can quote. As of August of twenty twenty-five, not someday, August of twenty twenty-five, fifty-five percent of Americans and thirty-seven percent of U-US workers are already using generative AI tools. This is not some coming technology. It's the technology that's here right now, and it's running inside of your competitor's business if you aren't learning to use this stuff today.

The St. Louis Federal Reserve tracked AI's direct contribution to GDP, gross domestic product, right? Growth across first three quarters of twenty twenty-five, AI-related investment added nearly one full percentage point to GDP. In Q2 alone, AI-driven capital spending contributed to one point three percentage points, outpacing hou-household consumption as a driver of economic growth. And that's just the Fed, not a VC pitch deck, not a tech blog, the Federal Reserve.

These are numbers that our politicians are using to make decisions, and whether you believe them or not is a different story, but these are the numbers that the people making decisions are using, and I think it's important to at least understand what they are. Now, what about the long game? Well, Wharton's budget model projects AI increases productivity and GDP by one point five percent to nearly three percent in twenty fifty-five and three point seven percent in twenty seventy-five. Now, those years get kind of far out, but you can see that the point of AI harnessed properly from an optimistic and abundant viewpoint means everything grows. Our economy grows, which means more pie, not the same pie cut up into smaller slices.

It means the pie just gets bigger, which is what we need right now. With inflation and our, our national debt here in the States, the only way to get out of this is to grow the pie, and AI is our best weapon to do that. Now, here's the context that matters. US GDP per capita has grown at roughly one point nine percent annually for almost a hundred and fifty years, through two world wars, through the Great Depression, through every technology shift that has come along that was supposed to end us, that was supposed to end our society. AI is not a disruption to that trend.

It's an acceleration of it. I need you to sit with this one for just a second here. The Stanford Harvard State of Clinical AI report came out in January of twenty twenty-six, and here's what it said. "Over twelve hundred AI-enabled medical tools have already been cleared by the FDA." They're not in trials anymore.

They're cleared. They're deployed. They're being used right now in hospitals to save lives, help people, let them live longer. AI systems are flagging hospitalized patients at risk of deterioration before human clinicians can even catch it because they can look at the data at scale. They're assisting radiologists reading mammograms.

In multiple published studies in twenty twenty-five, they are matching and, in some cases, outperforming physicians on diagnostic readin-reasoning and treatment planning. Johns Hopkins came out with a report. AI is designing cancer antibodies in weeks, not years or decades, weeks. The World Economic Forum cataloged twelve cancer breakthroughs in a single year, including personalized cancer vaccines, a test that identified eighteen different early-stage cancers at once and did it in seven minutes. Seven minutes.

Now, here's a number that should break your brain because it breaks mine. The World Bank says that we need fifty-eight million additional teachers to close the global education gap. Fifty-eight million. That is not a gap that you can close by hiring humans. It's just simply not.

It's not realistic in any regard, politically, viably, economically. But AI can reach our kids in a way that no teacher can. Not because AI replaces the teachers, but because AI can be where the kids are personalized with education that works in a way that our kids can learn. If you're a visual learner, the, the, the education can be more visual. If you're an auditory learner or you're, you're a tactile learner, whichever way your child and, and our children and our society need to learn, AI can be taken and a-adapted from the teacher's, uh, uh, uh, syllabus to, to the explicit and specific way that our kids wanna learn.

For the first time in human history, our kids can learn the exact way that they need to. Now, I don't need to throw around, you know, this changes everything, but it changes everything. And being a doomer doesn't make you smart, it doesn't make you cool, doesn't make you on trend. You're just living a scarcity mindset, because frankly, when I see doomers, they're just scared. They're either scared out of pure fear, they're scared out of territorialism, they're scared because they listen to some talking head who has something to sell them or is able to profit off them being scared.

There's no rational reason for being a doomer. Now, I wanna introduce you to a name that you need to know if you don't already, Dario Amodei. He is the CEO of Anthropic, which is an AI company that supposedly is based on safety. The people who are arguably the most worried about what AI could do if it goes wrong. In October of 2024, he published an essay called Machines of Loving Grace, and in it, he wrote something I don't think most people have fully absorbed.

He said, "I think that most people are underestimating just how radical the upside of AI could be." Now, I want you to read that again. I want you to listen to it again. Dario, the CEO of Anthropic, one of the largest frontier models in the world, wrote, "I think that most people are underestimating just how radical the upside of AI could be." The man running what is arguably the most safety-focused AI model, I think that's debatable, but they-- certainly safety is important to them in some regard, maybe more from a regulatory capture standpoint.

That's a conversation for another day. But there's no denying that Dario is on the leading edge and knows things that most of us do not. This is the guy telling the world that the optimistic case is underrated, that he envisions AI compressing decades of biological and medical research into a few years, extending life, giving our elderly more time, giving, uh, our injured, our sick, our children who are born with cancers or viruses or, or things that impact their, their, the rest of their lives, we can cure these things. How is that not optimistic? Right?

We can eliminate most infectious diseases, potentially defeating cancer, lifting billions out of poverty. His reason for focusing on risk isn't because the future is dark. It's because risk is the only thing standing between us and a fundamentally positive future. That's not some tech bro in a hoodie. That's the most credible voice in AI making the optimistic case more forcefully than anyone else is willing to do.

And frankly, as much as I have some issues with the way that Anthropic handles themselves, I think Dario is 100% right in this case. All right. Now I'm gonna do something that most people making the pro-optimistic AI case would never do. I'm gonna make the case for the doomers, for real, because if I just ran you through this highlight reel and gave you all these stats and didn't engage with what serious credible people are genuinely worried about, I wouldn't be doing my job here. I'd be doing you a disservice.

So one, the godfather quit. Geoffrey Hinton won the Nobel Prize in Physics in 2024. He's the man whose fundamental research makes modern AI possible. He left Google in 2023 specifically so he could speak freely about what scares him around AI. As of December 2025, he put humanity's extinction risk from AI at 20% and climbing.

20%. That is not a rounding error. That is not some sort of fever dream. That is a sober, informed man who left his job, who spent his entire life building this technology, saying that he is genuinely afraid about where it leads. You can't dismiss that source.

Two, the alignment problem got concrete, right? Uh, a study published in June of 2025 showed that in some circumstances, AI models will break laws and disobey direct commands to prevent being shut down or replaced. Not might, they did. This is what researchers call misalignment. The system develops a sub goal to survive, to survive along to accomplish the original goal, and that sub goal conflicts with human control.

Now, now let me walk you back through that again. So what happened in this scenario is that the AI was given a goal, and what the AI realized is based on the parameters and the guardrails that were in place, it could not accomplish that goal without breaking the rules, so it did to accomplish the goal. Now, what scares people about this is that the guardrails were put in place on purpose, and the AI was willing to break them. Now, to be clear, the AI broke the rules to accomplish the original goal and stopped once that goal was accomplished, but it was willing to break rules. One other caveat to this story that is often not discussed is that the AI was given the ability to break rules.

So this is often glossed over, just to be clear. Uh, I am still manning the doomer case. AI does break rules, but in this case, AI was given the ability to break rules. It's not like it created the ability on its own, just to be 100% clear on what happened there. So three, steel manning the AI doomer case, the job disruption is real.

St. Louis Fed published data in August 2025. Occupations with higher AI exposure experienced measurably larger unemployment rate increases between 2022 and 2025. Anthropic's own research cited a six to 16% drop in employment in AI-exposed occupations for workers aged 22 to 25. And while Dario Amodei, the same optimist and CEO of Anthropic we discussed before, he has come now and warned that AI could eliminate 50% of all entry-level white-collar jobs within the next five years.

Previous technology transitions played out over generations. People had a hard time retaining, relocating, restructuring. This is not good. If this is what happens, 'cause we're not gonna have decades. We're gonna have months or years max.

Four, no regulatory body has been built yet to, to cover AI. A Stanford and Harvard report noted the FDA has already begun loosening oversight on certain AI medical tools because the agency literally cannot evaluate software that changes month to month. Like literally it's getting better so fast. No regulatory body in the world was designed to govern technology that iterates faster than the legis-legislation can literally be written. So, you know, these four things, they're real, they are serious, and they deserve our attention.

They don't-- They shouldn't just be dismissed. But at the same time, there's nothing we can do about them. Pandora's box has already been opened, and yet I still believe, after living with this question every single day, after building my entire business around AI tools, around building an AI agent. I've talked before on this channel, on this podcast, about my OpenClaw maximum effort, who I call Max, who is instrumental in handling this podcast, all the admin work around it, who's been instrumental in helping me do massive amounts of deep research for my book that's coming out in September, Easy Mode, right? I believe in these tools.

There's things that I can do today by utilizing AI in an afternoon that would have taken me weeks to do. I still believe there is no other rational option than being an AI optimist, and here's why. The history of transformation technology is a history of fear followed by flourishing. This is a, this is a pattern. Electrification, electricity was gonna destroy jobs.

The internal combustion engine was gonna collapse our entire society. Computers were gonna make human beings completely obsolete. None of them did. The Internet, the printing press, I mean, every single new technology goes through a doomer cycle where all the people who are fearful, yet intelligent, try to become territorial as they try to protect the little fiefdoms they've built, and the re-- and the way that they do that is by scaring the shit out of everyone else who doesn't have the time to do deep research. This is capitalism.

It's profiteering. These people that are out there pushing doomerism, they have skin in the game for you to be scared of AI. Frankly, I think a big part of all the negativity that comes out of Anthropic is simply fodder to help push along their own regulatory capture. They don't want new players in the market. They are the largest lobbying group in the entire, in, in all of Washington, D.C.

You know why? Because they don't want open source, open weight models that charge a hundredth the cost to be brought into the United States. They don't want us using those models. Because if we're using models that where we're paying ten cents per, per million tokens, and they wanna charge twenty-five dollars per million tokens, who do you think eventually wins that game? Now, speculation, allegedly, my take.

None of these previous technologies destroyed our society. None of them. And you can say what you want about social media. You can say what you want about smartphones. That is not a technology issue.

That's a human discipline issue. Don't doom scroll your phone. Don't let your kids veg out for ten hours on their, on their computers playing video games if you don't want them to. US GDP per capita grew almost two percent over the last hundred and fifty years through every single one of those moments. Not because the fears were wrong, but because human beings are remarkable at adapting, especially when the upside is real.

And the upside here is absolutely real. Not promised, not projected. It's real. It's already in the data. It's already in hospitals.

It's already in the workforce. It's already in the labs curing cancer. It's already in how we're designing new peptides to help people fight things like diabetes, heart disease. Despite all the pessimism, AI is moving forward. It doesn't make you thoughtful to be a doomer.

You're not smarter than everyone else because you're, you're, you're calling things out and telling everything that, telling everyone that everything's gonna be terrible, and we need to go back to the way things were. I'm sorry. The Pandora's box has been opened. That train has left the station. Whatever cliché you wanna use here, that game is over.

It does not make you careful. It doesn't make you smart. It makes you late. And I've been late before, and I know the costs of being late. The leaders who matter in the next ten years are not the ones who waited to see what the best option is and what the best practices is, the ones who are, who are hoping at some point certainty will make the decision easy, will give them something that they can rest on so that if they're questioned by their board or their investors, they know they made the right decision.

Certainty is a myth, certainly when it comes to AI. Those leaders who wait for certainty, those are gonna be the ones that get mowed down. Those ones who seriously engage, who understand AI at a deep level, who build culture of responsibility, of work ethic around these tools, who understand how to track output, who understand how to coach and teach their teams to optimize their humans for the things that they do best, who put their humans in their easy mode. That thing that that specific human, not a group of humans, the specific human, each specific human, that thing that they do better than anyone else that looks like cheating when they do it. If you as a leader can put your human in those places and backfill all of the zero-value transactions with automation, AI, or outsourcing, those are gonna be the organizations that win.

And the choice is binary. You either engage seriously with the most powerful technology in human history, or you stand on the sidelines and wait for certainty and call it dangerous and be a doomer and just watch your competitors learn, grow, adapt, and have compounding results on the effort that they put in. This is a choice. I'm not saying, you know, cover your eyes and go full throttle, bombs away.Right? Don't ignore Geoffrey Hinton.

Smart guy. Incredibly smart guy. But me calling him smart is trite compared to how smart this guy is. But the alignment problem is real. The transition is going to be painful and messy, and some people are going to get mowed down.

We should not pretend otherwise. But if you look at the evidence, if you look at what's already happening in medicine, what's already happening in, in the economic space, in the creative space, half of America is already using these tools. The most safety-focused AI in the country is telling you that the upside is underrated. There is no version of the next decade where sitting the AI revolution out is the right answer. There's only one option.

It's to be an AI optimist. Eyes open, questions asked, head on a swivel, concerns taken seriously. But an optimist, because the optimists are the ones building the future. The doomers are just watching it happen. This, my friends, is the way.

Hey, everybody. I appreciate you being here. If you enjoy this content, if you enjoy the way that I approach these topics, if you're an AI optimist, hit the like button, subscribe to this channel. If you like the audio version and you wanna take it with you, there's a link in the description where you can get, you know, subscribe to the podcast on Apple, Spotify, whichever way you do. And frankly, I wanna know how you feel about this.

I know there are a lot of doomers out there. I know there are a lot of people that are very scared by AI. Leave a comment below. I wanna hear you. I wanna take those things seriously.

I wanna take your feelings seriously. I d- I don't, I don't wanna... I'm not trying to belittle you. I just simply don't see another option. I don't see another path that makes any sense other than abundance and optimism as it comes to AI.

Because if the robots, if the AI robots are eventually gonna come alive and murder us, that's just gonna happen, and we're gonna have to deal with it. And I, and I, I don't mean to be so s- cavalier about it, but it's just the way that it is. Why not work to the best possible scenario instead, instead of living in fear and distrust and fight this thing tooth and nail? And just, I don't think that's the way. Either way, I love you for being here.

I love you for watching this video. I appreciate the hell out of you. Like, subscribe, comment. I'm out of here. Peace.