STEM is – Netflix cofounder Reed Hastings says AI will shift value toward emotional skills, art, and sports—turning attention back to the humanities.
Netflix cofounder Reed Hastings is arguing that the tech world’s STEM obsession is entering a new phase—one where emotional and human-centered skills regain ground.
Hastings made the point in an interview on the “Possible” podcast. released this week. suggesting that AI will excel at logic-heavy work while leaving room—maybe even creating demand—for more human. meaning-driven experiences.. He said people won’t be looking for “the big thrust” of AI through entertainment that feels robotic. using a sharp example: viewers won’t want to watch a “basketball game of robots.”
For many readers. the headline lands as a contrast story: after years of promoting coding. engineering pipelines. and STEM-first education. Hastings is pointing to what he sees as the next imbalance.. In his view. as society increasingly recognizes that software and technical skills are increasingly commoditized by AI. attention may shift toward the skills that are harder to automate—empathy. storytelling. taste. and the ability to connect with other people.
There’s also a business subtext underneath Hastings’ comments.. Netflix isn’t simply a tech company; it is, at its core, a global media business built on understanding audiences.. That perspective matters in an era when AI can generate text. summarize. and even help draft code. but still struggles to recreate the full cultural “fit” that decides what gets watched.. Hastings’ argument effectively treats the humanities as an advantage in product design and content strategy—not as an academic luxury.
Why Hastings thinks AI changes the value of skills
Hastings’ claim rests on a straightforward division of labor.. He argues that AI is already strong at thinking and logic-driven tasks. and that progress will accelerate in areas like software engineering and medicine.. If those fields absorb more automation and augmentation. the competitive edge shifts away from raw technical execution alone and toward how humans steer. interpret. and apply outputs.
That is where his humanities pivot comes in.. Hastings said the future rotation may involve deeper attention to history and literature. and also to “the physiology of the brain” and how people interact.. He even framed it as an early-life priority: if he had a three-year-old today. he would “double down on the emotional skills.”
The education question: STEM vs “liberal education in technology”
Hastings isn’t the only executive voicing this tension.. The broader debate—visible across boardrooms and hiring discussions—centers on whether the current education model over-separates humanities and STEM.. Misryoum sees this as less of a binary argument and more of a curriculum design problem: modern workplaces rarely reward pure knowledge silos.
The most practical way to read this debate is through hiring signals and workplace realities.. Employers increasingly need people who can collaborate across disciplines. explain complex systems clearly. and align technical work with user needs and ethical constraints.. A humanities background can support that through communication, critical thinking, and contextual reasoning, while technical training supports execution and experimentation.
Human skills become “product skills” in an AI economy
One of the most tangible impacts of this conversation is what it does to job pathways.. If AI tools reduce the marginal value of certain coding tasks. organizations may want technologists who can do more than implement: they must decide what to build. how to measure success. and how to ensure outputs make sense for real people.
In that environment. humanities skills can become “product skills.” Storytelling and language help refine user experience; understanding cultural context improves content and marketing; ethical reasoning shapes how automation affects customers and workers.. Misryoum also expects increased demand for roles that blend communication with analysis—people who can translate technical capability into something that feels trustworthy. relevant. and human.
What the STEM “overdone” warning could mean for hiring
Hastings’ language—“overdone”—is a warning, not a dismissal.. It implies a correction cycle: after heavy investment in one type of preparation. the market may overreact by underinvesting in the other.. The risk for employers and learners is turning the debate into slogans rather than building integrated talent pipelines.
Misryoum also expects companies to keep hiring engineers, but to raise the bar for what “engineering” means.. Instead of valuing code alone, teams may value engineers who can work with domain experts, interpret ambiguity, and communicate trade-offs.. Meanwhile. graduates from the humanities may find new opportunities—not by abandoning their strengths. but by coupling them with technical literacy and practical AI-era tools.
A shift that could reshape careers and classrooms
The most forward-looking takeaway is the direction of travel.. AI is not just changing what software can do; it is changing how people decide what matters.. Hastings’ argument suggests a world where emotional skills and cultural understanding are not side dishes—they are central inputs into products. brands. and services.
For parents, students, and businesses trying to plan ahead, the question is less “STEM or humanities” and more “which combinations win?” Misryoum’s view is that the winners will be people and organizations that treat AI as a capability layer and human judgment as the differentiator.