The war for talent in the AI industry has driven salaries to extraordinary levels, with compensation packages unthinkable just a few years ago. According to Axios, this trend worries Anthropic’s CEO, Dario Amodei, who reportedly expressed concern that new talent is coming for the money, not the mission.
The statements sound ironic, as Anthropic itself offers breathtaking salaries for roles that typically pay much less. A job posting for brand event marketing lead, for example, lists annual compensation between $320,000 and $400,000.
Meanwhile, the median salary for meeting, event, and convention planners was $59,400 in May 2024, according to the U.S. Bureau of Labor Statistics. In other words, Anthropic is offering about six times the industry average.
Amodei’s alleged concern sparked immediate reaction on social media. A prominent engineer used X to point out the irony.
‘If it’s about the mission and not the pay, pay below top competitors and see who joins,’ wrote Gergely Orosz, author of The Pragmatic Engineer column. ‘It’s not just about money, of course, but it’s an important factor, given the generational wealth AI companies have already created for early employees.’
Employees motivated by money are not surprising. According to Gallup, in 2025, better pay and benefits were the top concern for job seekers; 54% of respondents considered salary very important when evaluating an offer.
AI jobs, in particular, have seen salaries skyrocket as big companies compete for top talent. Compensation varies by location, seniority, and company size, but amounts reach six—sometimes seven—figures.
The median salary for a machine learning engineer ranges from $180,000 to $350,000, according to Forbes. Distinguished AI researchers at companies like OpenAI, Anthropic, and Meta can exceed $1 million.
Employees are also eyeing even more lucrative deals, such as signing equity. According to Axios, some researchers seek stakes in companies like Anthropic or OpenAI before their potential IPOs.
The contradiction between Anthropic’s rhetoric and practice exposes an industry dilemma: how to attract talent in a hot market without fueling the ‘just for the money’ culture? The answer, it seems, has not yet been found—not even by the company that preaches AI safety the most.
Meanwhile, the brain race continues, and the numbers only grow. For outsiders, the question remains: does the mission really matter when the check is six times the average?