Democratized superintelligence is coming: The world needs to get ready

The McKinsey Podcast

In this episode, McKinsey's Eric Kutcher interviews Bret Taylor, Chairman of OpenAI and CEO of Sierra, regarding the rapid evolution of AI a

Key takeaways

• AI agents are already transforming software engineering, coding, and customer service through autonomous task completion.
• The 'blast radius' of cybersecurity threats is expanding because AI can rapidly identify vulnerabilities in interconnected infrastructure.
• Adopting AI for core corporate processes is shifting from a competitive advantage to a fundamental business imperative.
• Open-weight models provide value through cost efficiency, fine-tuning capabilities, and data sovereignty.
• There is an 'impedance mismatch' between the rapid pace of AI software development and the slow physical buildout of data centers.

Main topics

• AI Agents and Autonomous Work
• Cybersecurity and Vulnerability
• Open-weight vs. Frontier Models

Notable quotes

Adopting AI for these core corporate processes will be an imperative, not a competitive advantage.

Conclusion

While significant risks exist in cybersecurity and infrastructure scal

Transcript preview

Speaker 4 (0:03) Roberta, great to see you. Speaker 3 (0:04) Lucia, always great to see you. Speaker 4 (0:06) So it's been a challenging couple of weeks for AI in the media. Society is asking some tough questions about super intelligent AI and its influence on how we work and how we will work in the future. Speaker 3 (0:24) Very far into the future, we hope, right? Speaker 4 (0:27) Hopefully, hopefully. So today's episode is super timely. We have Brett Taylor, who is actually the chairman of OpenAI in conversation with Eric Kutcher, our North America chair. Brett is also the co-founder and CEO of Sierra, which helps companies build sophisticated AI agents. Speaker 3 (0:49) Yeah. And, you know, Lucia, what I found really interesting about this conversation is that Brett is... both very optimistic about what AI can do, but also incredibly realistic about the concerns associated with AI development. And in this conversation, we hear about all of it. We hear about cybersecurity, frontier labs versus open-weight models, and the topic that everyone can't get enough of, and that's data centers. Speaker 4 (1:18) It's a great discussion. Let's get into it. Speaker 2 (1:28) I am joined today by a man who has many titles. He's a friend, but he's also the founder and CEO of Sierra AI and also chairman of OpenAI, if I remember that correctly. That's right. Amazing. So it's great to have you here with me, Brett Taylor. Just truly wonderful and can't wait to have this conversation. Thanks for having me. I was at a dinner last night and I was asked about this moment and I said, this is the most exciting moment that any of us will get to live through and lead through. And you are at the center of it. And so I just love to hear a little bit. How do you think about the moment we're in, the things that excite you most, and maybe a little bit of the things that might even frighten you a little bit? Speaker 1 (2:11) Yeah, I think we're in a very significant moment in technology, this current generation of artificial intelligence. Speaker 1 (2:19) Fundamentally, first, I mean, just in really simple terms, it's changed the way we interact with technology. But more than anything, because these models support basic reasoning, they're enabling computers to reason about ambiguous tasks and actually autonomously complete work. We're seeing that impact on the economy in the short term with things like software engineering and coding agents. customer experience, both customer service and sales. We are in the foothills of artificial general intelligence. We've already seen recent models prove unproven math conjectures, or in some cases, disprove some of those math conjectures. I think in the domain of information, where digital technology is all that's required, we are... probably already at a point of having super intelligent AI and I think will have a huge impact on science, huge impact on the digital economy. That's why software engineering has been impacted already. I think everyone in the world will have access to a super intelligent financial advisor. They'll have access to... the world's greatest primary care physician. Every kid in this world will have access to a personalized tutor. I think it will be amazing. So I think the other part of this is I think we're going to end up over the next few years seeing the digital parts of the economy dramatically impacted and the rest not. It's going to create a lot of complexity when you end up with sort of more of an overhang in some industries than the other. And then on the risk side, I think in the short term, cybersecurity is probably the biggest, most acute concern because... Just like the early days of the internet, we often invent these technologies and the world's industries are not necessarily equipped to deal with the security ramifications yet. I think we're in a period of societal vulnerability. Let's Speaker 2 (4:06) come back to cyber, because I think that is a very real risk and I think you have a unique insight. I tend to agree with you that this will be better in the long run. I can think of many reasons why, but the short run getting through that will be difficult. One of the things that you hear a lot about is... There's lots of individual productivity, but there isn't necessarily institutional level productivity that we can measure yet. We see that in kind of the client work we do. My articulation of this has been it's an 80 % business problem and 20 % technology problem and that the technology is so, it's first of all more advanced than most, but what we can really use it for as we think about redesigning these processes. Secondly, it is democratized. So it's already kind of being embedded in ways that we don't even fully understand. There's a series of real workflows that you are trying to help your clients, your customers reimagine. So how is that going? Speaker 1 (4:55) So just for context on CIRA. We help companies make AI agents that serve customer service or revenue-aligned agents, things onboarding a merchant into a marketplace or helping onboard or do KYC for a bank or helping with prescription drug adherence for a medical company. We serve many of the largest companies in the world. And we're helping do everything from customer service to more revenue aligned things like helping people originate mortgages. I think every company's AI agent will become their digital front door. I love one example of their agent resolves over 90 % of cases autonomously. And if you look at a company growing that quickly, you've decoupled your costs from your growth, which is just remarkable leverage. And then if you look at the revenue-aligned agents, you can lower your customer acquisition costs significantly because you're essentially using AI agents to onboard, to engage, to sell, which means you can scale it infinitely and at lower costs, which means you can lower your customer acquisition costs, improve retention. All these things are really fundamental to the business model of these companies. Part of the responsibility of being involved with OpenAI is... Whether you're optimistic or not, you should have some paranoia about the downside risk because we're a mission-driven company. But I believe in capitalism. And what's happening now is everyone has access to the same intelligence, the same AI. So you can't just get more efficient and pass the profits onto your shareholders because your competitor could lower prices, they can invest more in