Even if you don’t know the name Andrew Tulloch, you’ve probably heard something about his story.
Tulloch is one of Silicon Valley’s cutting-edge AI researchers who have lately attracted astonishingly lucrative job offers from legacy tech companies trying to lure them away from their AI-native startups. In Tulloch’s case, the legacy player was Meta, which reportedly offered the young researcher $1.5 billion over at least six years to leave his current post at Mira Murati’s Thinking Machines Lab. Meta has disputed this figure, but other big numbers have been confirmed by multiple sources, including $100 million signing bonuses and annual compensation packages of that size or greater.
In many instances, the fat figures worked: Individual targets have been poached and entire startups have been purchased. But what’s been more surprising are the reports that when Meta CEO Mark Zuckerberg and other tech royalty knocked on some doors, including Tulloch’s, AI researchers sometimes said, “No, thanks.” CEOs of newer companies and established firms—Dario Amodei at Anthropic, Sam Altman at OpenAI, and Lisa Su at AMD—have even said they will not match poaching offers to keep their talented employees. Just as strikingly, some said that they haven’t needed to do so to keep their top performers.
(Coins2Day reached out to Tulloch and several others who reportedly turned down huge pay packages, and none agreed to talk. Meta recently announced a hiring freeze in its artificial intelligence division.)
So do we need to rethink the power of cash in negotiations? Is the era of the superstar employee over?
Not exactly, say management experts. Many have been watching the AI talent race and considering what it means for CEOs of companies in other industries and of more modest means. But they do believe that while competitive compensation still matters, the AI talent wars prove that squishy concepts like culture, empathetic leadership, and collegiality are stronger forces than most people would imagine.
Why the AI talent race is happening
Ajay Agrawal, professor of entrepreneurship at the University of Toronto’s Rotman School of Management and coauthor of Prediction Machines: The Simple Economics of Artificial Intelligence, says the size of the compensation packages wowing tech watchers should not surprise anyone. Despite recent concerns about an AI bubble, he told Coins2Day, the dynamics of this new market mean companies have rational reasons for spending big.
If the AI industry evolves the way other recent disruptive technologies have, Agrawal explains, one foundational large language model will take the greatest market share in the near future, the way Google came to dominate search engines, even though other options existed in Google’s early days. So all the companies spending billions on AI also hope to build the “winning” model to amortize their costs across hundreds of millions of users. “That just warrants big investments in general, whether it’s for equipment or people,” the professor says.
But unlike other new technologies, AI models are also trained by users who evaluate and rate the model’s responses to prompts, multiplying the first-mover advantage effect. The most-used models will have access to feedback that will make it even harder for their competitors to catch up.
Knowing this, says Agrawal, “Nobody wants to fool around with a second-rate team.”
For money or the mission
The promise of great wealth also explains why some AI researchers have chosen to stay in their current jobs. In conversations with some of the bright young minds who have been caught up in the talent wars, Agrawal, who is also a research fellow at Stanford’s Digital Economy Lab, has learned that many are gambling on a payoff in the future. “Even though the offers sound very big to you and me,” Agrawal says, “they are with a younger, smaller company where they have equity, and they think there’s a chance that their equity in that company will be worth more.” That tantalizing possibility just isn’t as likely at an established brand.
Still others who have rejected fat offers claim they’re less motivated by money and more focused on a company’s professed mission, Agrawal says, acknowledging how unlikely and grandiose that sounds. “They think that this is a unique moment in history, and that the things they’re working on could shape the future of civilization,” he says. “They truly believe that.”
Indeed, several CEOs have positioned their company’s mission as their competitive moat in the talent wars, one that will appeal to altruistic types in an age when smart young people are being called on to cultivate their “moral ambition.” In a statement emailed to Coins2Day, for example, Anthropic said: “Top AI talent choose Anthropic because they want to build AI systems for society’s benefit with safety principles prioritized from day one. We attract and retain talent because of our research quality, our commitment to AI safety, and our track record of industry-shifting breakthroughs.” The company also touted its top leaders as talent magnets.
Relatedly, as Agrawal notes, larger players like Google, Meta, and Microsoft have all existed long enough to have accumulated scandals and ethical crises attached to their names—even if they, too, started life with mission statements tied to making the world a better place. Newer companies promising noble causes, in contrast, are not tarnished—or less tarnished, at least—which also appeals to idealistic young workers. AI-native companies “don’t have the baggage,” the professor says, “so they can create missions and visions with a blank canvas.”
Culture’s quiet power
That last point brings us to the realm of corporate culture, the least visible of forces at play in these scenarios, but one that some academics say is the ultimate filter that employees use to make decisions.
Culture—the way organizations behave as opposed to the goals they set for the organization—can dictate who is attracted to a company, who stays, and who leaves. Culture is what people are referring to when they describe Mira Murati, who left OpenAI as its chief technology officer to start Thinking Machines Lab, and had 20 employees follow her, as a low-ego leader. “At OpenAI, she was known for her emotional intelligence and lack of ego, which earned her the loyalty of the research and engineering staff,” the Wall Street Journal has reported.
Jennifer Chatman, dean of the University of California, Berkeley’s Haas School of Business, and a scholar who has studied organizational culture for decades, tells Coins2Day that companies in every industry need to pay attention to salaries in the marketplace because culture will never compensate for less robust pay. But keeping pay competitive, she says, “gives people an opportunity to think hard about how they would fit with the orientation of the organization.” That’s a good thing, she adds. “When people actively select-in based on the culture, there are all kinds of good outcomes that emerge: They perform better, they stay longer, they’re more committed. They can move through the organization more effectively.”
In some company cultures, recruiting high performers by simply paying the most has been normalized, but Chatman warns that transactional relationship building “has never been a good long-term way of generating high levels of performance, innovation, and commitment in organizations.”
Similarly, CEOs tend to fall into one of two camps: They elevate star players at all costs, often reinforcing an idea that a single, usually young and male, genius can make or break an organization, or they build strong teams and support a collective intelligence. Research shows that the latter is far more sustainable, says Chatman. Under a star model, “you have people that can really dial up their capability and do more for the organization, and you can be lean,” Chatman says. “But when they leave, it’s a big deal.”
The team wins
Increasingly, the team model seems to be preferred by tech leaders, at least according to interviews they’ve given to the press. Lisa Su, CEO of AMD, recently told Wired. “I am a believer … that money is important, but frankly, it’s not necessarily the most important thing when you’re attracting talent.” While companies need to be in the “zip code” of their competitors’ pay, she also said, she couldn’t imagine paying nine figures to attract a new employee, explaining, “It’s really not about one person in our world.”
Earlier this month, Anton Osika, CEO of Lovable, an AI website-making software firm, told a tech podcast: “If I knew who was the perfect engineer to hire, I could maybe step up our compensation bands to get exactly those. But I don’t know who are the best people. So I need to just figure out, ‘Are these really, really good people to work with? Are they moldable?’”
Peter Schein, cofounder of OCLI.org, a consulting company he launched with his father, the late MIT scholar Edgar Schein, endorses these views. The most effective leaders cultivate a culture of learning and information-sharing across teams, he says. “The brilliant individual who has a brilliant vision for how to take [your model] to the next release, those people are always going to be around,” Schein says. “But I will also bet on the team nine out of 10 times over the individual.”
Schein’s advice for leaders who want to hang on to their people, or become the kind of CEO whom talented employees may one day work with again, is simple: “You have an easier time retaining people who you’ve actually built a rapport with, not treating people with this professional distance that says, ‘These are [just] human resources.’
“These are humans who happen to be a resource,” he says. “Some of them you’re going to have to protect.”
What to do to keep talented employees
- Study and define your culture. Google has done this well, says Chatman. Simply put, part of the company’s rigorous interview process allowed it to find naturally curious people, since those applicants were more likely to be looking ahead at new trends and innovations. Because the entire company was oriented the same way, new hires were more likely to find satisfying roles throughout the organization. They found a career at Google, not just a job.
- Watch for culture gaps. If people are leaving your company at an alarming rate, it may be a sign that your culture is weakening or that it is not matching your professed strategy or mission, says Chatman.
- Use pay to open a conversation. If someone is thinking of leaving, says Chatman, a leader needs to sit with that person to find out what’s going on with them. Do they feel aligned with the company’s culture and mission? What are their aspirations, and could they be fulfilled if they stay? “The easiest way to do it is to ensure that their package is not way below the industry standard, and then you go from there,” she says.
- Recognize the difference between missions, espoused values, and culture. Missions change when market conditions do, and espoused values sound great on a company wall, says Schein, but culture consists of “deeply held assumptions about how this company survives and thrives, and it’s developed over time.” It usually becomes most obvious during a crisis. That’s when employees will be watching to see what a company is really all about—and when they may decide to leave.
