Netflix co-founder and outgoing chairman Reed Hastings has delivered a blunt message to parents, educators, and young professionals: after two decades of relentless focus on science, technology, engineering, and math, it may be time to dial back the STEM hype and rediscover the value of distinctly human skills.
In a candid interview on the “Possible” podcast released Wednesday, Hastings argued that AI is poised to dominate logic-heavy fields such as software engineering and medicine, where rapid advances are already evident. But the technology will struggle to replicate the emotional core of human experience — the very essence of entertainment, art, and even sports.
“You’re not going to watch a basketball game of robots,” Hastings said pointedly.
Those domains, he believes, will remain stubbornly human.
The result, in his view, is an overdue “rotation back to the humanities.” That means deeper engagement with history, literature, and the nuances of human interaction — including brain physiology and emotional intelligence. If he had a three-year-old child today, Hastings said he would double down on building those softer skills rather than pushing early coding classes.
“Over the last 20 years, we’ve emphasized the importance of STEM and learning to code,” he reflected. “But now, as everyone sees that coding is overdone, my guess is we’ll see that STEM is overdone.”
The comments carry extra weight coming from Hastings. He helped turn Netflix into a global entertainment powerhouse precisely by understanding human storytelling, emotion, and cultural resonance, skills that algorithms still cannot fully replicate. As he prepares to step down from the company’s board in June, his remarks feel like the perspective of someone who has watched technology reshape an industry and lived to see its limitations.
He is not the only one who has voiced this concern. Former Microsoft chief technical officer Craig Mundie has echoed the call for balance, telling Business Insider earlier this year that the rigid split between humanities and STEM in modern education is outdated. Mundie’s proposed fix: a new kind of college curriculum built around “a liberal education in technology” — one that marries technical fluency with ethical reasoning, communication, and historical context.
Google NotebookLM editorial director Steven Johnson has taken the argument a step further, describing the current moment as the “revenge of the humanities.” In comments last March, Johnson noted that graduates with strong backgrounds in language, narrative, and human behavior are increasingly in demand to shape the tone, empathy, and conversational subtlety of large language models.
In an era of powerful AI tools, the ability to guide them with nuance may prove more valuable than the raw ability to build them.
Yet the debate is far from settled. Okta CEO Todd McKinnon pushed back forcefully in April 2025, dismissing fears that AI will shrink the need for software engineers as “laughable.” He expects the headcount of engineers to rise, not fall, as AI automates routine tasks and opens the door to more ambitious, complex projects that still require human oversight and creativity.
The divide highlights a broader reckoning underway in boardrooms, classrooms, and living rooms. For years, the mantra was simple: learn to code and secure your future. That advice helped fuel a generation of technologists but may have come at the expense of the very qualities that make work meaningful and irreplaceable in an AI world — empathy, cultural literacy, ethical judgment, and the ability to connect with audiences on a deeply human level.
As AI hype reaches new peaks and companies pour billions into automation, a counter-narrative is gaining traction among tech veterans who built their fortunes on technology but now worry about its unintended consequences for the next generation. The question they are raising is no longer whether AI will transform jobs, but which human capabilities will become the scarcest, and therefore most prized, resource of the coming decade.
However, it is clear that the old playbook is cracking. In a future where machines can outthink humans on many technical fronts, the premium may shift toward those who can out-feel them and help the rest of the world to get along.






