Bitget Chief Executive Officer Gracy Chen, in a recent X post, said artificial intelligence is likely to change many high-paying jobs, but the people at the very top of organizations may still be the hardest to replace.
Speaking about findings from a working paper by the National Bureau of Economic Research (NBER), Chen shared a chart presented during an event at the Massachusetts Institute of Technology (MIT). The research suggests that AI exposure generally increases with salary levels before falling among the highest-paid 10% of workers.
上周参加MIT的活动时看到一张挺有意思的图，想跟大家分享一下。
这张图来自@nberpubs的工作论文《Intelligence and the Labor Market》，展示的是不同薪资分位岗位的AI暴露程度。
整体来看，岗位薪资越高，受到AI影响的程度通常也越高。但到了收入最高的前10%左右，这条曲线反而开始下降。… https://t.co/uubz9v7SWo pic.twitter.com/cJ0e6T5oN7
— Gracy Chen @Bitget (@GracyBitget) June 26, 2026
Chen noted that AI exposure does not mean a job will disappear. Instead, it measures how much of a person’s daily work could be changed, supported or automated by AI tools.
Leadership skills become harder to replace
Chen argued that senior executives create value in ways AI cannot easily copy. She said top leaders spend less time completing tasks and more time deciding which problems matter most, making decisions with limited information and bringing people together around a common goal.
She also said AI cannot fully understand a company’s internal culture, trust between teams or the human factors behind important business decisions. While AI can process large amounts of public information, it cannot replace years of experience gained through negotiations, managing crises and leading people.
According to Chen, managers who use AI well will also be able to oversee more projects by leaving routine reporting, analysis and administrative work to AI systems.
Crypto companies are already changing how work gets done
Some firms have reduced staff as they invest more heavily in AI tools. Exchanges and blockchain companies are using AI to improve fraud detection, customer service, compliance monitoring and market research while reducing manual work.
For crypto firms, the debate is becoming less about replacing employees and more about changing how teams operate. Companies are looking for workers who can combine technical knowledge with judgment, communication and leadership.
As AI takes over repetitive tasks, businesses are placing greater value on people who can make difficult decisions, build trust with customers and guide teams through changing market conditions. Those skills remain difficult to automate, even as AI becomes a larger part of the crypto industry.
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