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

0:00I'm going to 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 going to sell you something and not because I'm going to 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 going to 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 deserve to be listened to, not just dismissed.

0:43Just 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 400 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.

1:19In 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? The thing you do that looks like cheating to everyone else. Now, I don't want to start with predictions. I want to start with facts, things that have already happened, numbers that have already been measured, things that we can quote. As of August of 2025, not someday, August of 2025, 55 % of Americans and 37 % of US workers are already using generative AI tools.

1:59This 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 2035, AI-related investment added nearly one full percentage point to GDP.

2:24Ryan Hanley:In Q2 alone, AI-driven capital spending contributed to 1.3 percentage points, outpacing 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 1.5 % to nearly 3 % in 2055 and 3.7 % in 2075.

3:07Ryan Hanley: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 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. U.S. GDP per capita has grown at roughly 1.9 % annually for almost 150 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.

4:00AI 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 2026, and here's what it said. Over 1 ,200 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.

4:36They're assisting radiologists reading mammograms. In multiple published studies in 2025, they are matching and in some cases outperforming physicians on diagnostic reasoning and treatment planning. Johns Hopkins came out with a report.

4:52Ryan Hanley:AI is designing cancer antibodies in weeks, not years or decades, weeks. The World Economic Forum cataloged 12 cancer breakthroughs in a single year, including personalized cancer vaccines, a test that identified 18 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 58 million additional teachers to close the global education gap. 58 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.

5:34But 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.

5:48Ryan Hanley:If you're a visual learner, the education can be more visual. if you're an auditory learner or you're a tactile learner, whichever way your child and our children and our society need to learn, AI can be taken and adapted from the teacher's syllabus to the explicit and specific way that our kids want to 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. It doesn't make you on trend. You're just living a scarcity mindset because frankly, when I see doomers, they're just scared.

6:33They're either scared out of pure fear. They're scared out of territorialism. They're scared because they listened 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 want to introduce you to a name that you need to know if you don't already. Dario Modi. 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.

7:12And 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.

7:57That'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,

8:19Ryan Hanley:giving our injured, our sick, our children who are born with cancers or viruses or things that impact the rest of their lives, we can cure these things. How is that not optimistic? 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.

9:08All 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 generally worried about, I wouldn't be doing my job here. I'd be doing you a disservice. So one, the godfather quit. Jeffrey Hinton won the Nobel Prize in physics in 2024. He is 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.

9:48As of December 2025, he put humanity's extinction risk from AI at 20 % and climbing. 20%.

9:55Ryan Hanley: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? 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.

10:37Ryan Hanley:And that sub-goal conflicts with human control. 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.

11:18One 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. 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.

11:55Anthropic's own research cited a 6 % to 16 % drop in employment in AI-exposed occupations for workers aged 22 to 25. And while Dario Modi, the same optimist and CEO of Anthropic we discussed before, he has come out 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 because we're not going to have decades. We're going to have months or years max. Four, no regulatory body has been built yet to cover AI.

12:38A 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 legislation can literally be written. So, you know, these four things, they're real. They are serious and they deserve our attention. 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 open claw, 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.

13:42Right? 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 pattern. Electrification, electricity was going to destroy jobs. The internal combustion engine was going to collapse our entire society. Computers were going to make human beings completely obsolete. None of them did. The internet, the printing press.

14:18Ryan Hanley:I mean, every single new technology goes through a Doomer cycle where all the people who are fearful yet intelligent become territorial as they try to protect the little fiefdoms they've built. 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.

14:54Ryan Hanley:They don't want new players in the market. They are the largest lobbying group in the entire and 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 10 cents per million tokens and they want to charge$25 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.

15:34Ryan Hanley: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 10 hours on their computers playing video games if you don't want them to. U.S. GDP per capita grew almost 2 % over the last 150 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.

16:12It'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.

16:28Ryan Hanley:You're not smarter than everyone else because you're calling things out and telling everyone that everything's going to 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 a station. whatever cliche you want to 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 cost of being late. The leaders who matter in the next 10 years are not the ones who waited to see what the best option is and what the best practices is. The ones 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.

17:16Certainty is a myth, certainly when it comes to AI.

17:19Ryan Hanley:Those leaders who wait for certainty, those are going to be the ones that get mowed down. Those ones who seriously engage, who understand AI at a deep level, who build culture of the 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.

17:55Ryan Hanley: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 going to 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 Jeffrey Hinton.

18:34Smart guy, incredibly smart guy.

18:37Ryan Hanley: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 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.

19:14Ryan Hanley: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 want to 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 want to know how you feel about this i know there are a lot of doomers out there.

19:56Ryan Hanley:I know there are a lot of people that are very scared by AI. Leave a comment below. I want to hear you. I want to take those things seriously. I want to take your feelings seriously. I don't want to, 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 going to come alive and murder us, that's just going to happen. We're going to have to deal with it. And I don't mean to be so cavalier about it, but it's just the way that it is.

20:34Ryan Hanley:Why not work to the best possible scenario 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.