Reed Hastings Said STEM Is Going to Be 'Overdone'

Netflix co-founder and executive chairman Reed Hastings told an audience at a technology conference this week that the current emphasis on STEM education is "going to be overdone" — a provocative claim from someone who built one of the most technology-dependent companies on the planet.

Hastings argued that while technical skills are essential, the aggressive push to channel students into science, technology, engineering, and math at the expense of humanities and creative disciplines will produce a workforce that can build anything but struggles to decide what's worth building.

"We're training millions of people to write code and zero people to ask whether the code should be written," Hastings said. "AI is going to make technical execution cheaper and faster. What it won't replace is judgment, taste, and the ability to understand human problems."

The comments come at a moment when AI is rapidly taking over many of the technical tasks that STEM education was designed to teach. Coding assistants can generate functional software from natural language descriptions. Data analysis tools can produce insights that previously required years of statistical training. The value proposition of a traditional STEM education is being compressed from both sides: AI handles the routine technical work, while the demand for high-level engineering judgment remains limited to a small number of senior positions.

Hastings pointed to Netflix's own history as evidence. The company's biggest competitive advantages, he argued, weren't its recommendation algorithm or streaming infrastructure — they were its understanding of human entertainment preferences, its content acquisition strategy, and its willingness to take creative risks. "The algorithm matters," he said. "But 'House of Cards' mattered more."

What This Means For You: If you're a parent advising a child on education, or a professional considering a career pivot, Hastings's argument is worth serious consideration. Technical skills are still valuable, but they're becoming more commoditized as AI lowers the barrier to entry. The skills that are increasing in value are the ones AI struggles with: persuasion, taste, ethical reasoning, cross-disciplinary synthesis, and the ability to frame problems in ways that technology alone cannot solve. If you're currently in a technical role, developing adjacent skills in communication, management, or domain expertise creates a moat that pure technical ability no longer provides. If you're in a creative or humanities field, your skills may be more future-proof than the current narrative suggests — provided you learn to work alongside AI rather than compete against it.