“AI itself is going to be gone by the time you finish a PhD”: Google’s Generative AI Pioneer warns Gen Z against chasing doctorates in a machine-speed era

For decades, the formula was simple: When the job market tightened, students went back to school. A master’s degree cushioned a recession. A PhD conferred intellectual prestige and often unlocked six-figure salaries. But in the age of generative AI, that logic is beginning to fracture.

As Gen Z graduates confront a cooling hiring market and the unsettling realisation that artificial intelligence can replicate many entry-level white-collar tasks, some have turned to advanced degrees as a strategy to stand out. Yet a growing chorus of tech leaders now warns that the traditional education escalator may be moving too slowly for an industry accelerating at machine speed.

Among the most direct voices is Jad Tarifi, founder of Google’s first generative-AI team, who argues that pursuing a doctoral degree in AI today may be less a strategic move and more a gamble against time.

The vanishing edge of the doctorate

Tarifi, who earned a PhD in AI in 2012 when the field was still far from mainstream, believes the value proposition has shifted dramatically.

“AI itself is going to be gone by the time you finish a PhD. Even things like applying AI to robotics will be solved by then,” Jad Tarifi, the founder of Google’s first generative-AI team, told Business Insider.

The provocation is not a dismissal of scholarship, but a reflection of velocity. A PhD typically takes five to seven years to complete. In AI, foundational architectures evolve in months. Entire subfields are born and disrupted within a single doctoral cycle.

Tarifi suggests that instead of pursuing broad AI credentials, students might consider narrower intersections, such as AI applied to biology, or rethink formal education altogether.

“Higher education as we know it is on the verge of becoming obsolete,” Tarifi told Fortune. “Thriving in the future will come not from collecting credentials but from cultivating unique perspectives, agency, emotional awareness, and strong human bonds.

“I encourage young people to focus on two things: the art of connecting deeply with others, and the inner work of connecting with themselves.”

His argument reframes employability as less about stacking degrees and more about developing distinctly human capacities—areas where AI remains comparatively weak.

When professional degrees meet exponential change

Tarifi extends his scepticism beyond computer science. Even traditionally insulated professions, medicine and law, are not immune to disruption, he contends.

Even studying to become a medical doctor or lawyer may not be worth ambitious Gen Z’s time anymore. Those degrees take so long to complete in comparison with how quickly AI is evolving that they may result in students just “throwing away” years of their lives, Tarifi added to Business Insider.

“In the current medical system, what you learn in medical school is so outdated and based on memorization,” he said.

Such statements strike at the heart of higher education’s social contract: that time invested in structured training yields durable expertise. If knowledge cycles are compressing, universities risk teaching content that is obsolete before graduates enter the workforce.

Tarifi is not alone in this concern. Meta CEO Mark Zuckerberg recently questioned whether colleges are adequately preparing students for today’s economy.

The pipeline still pays, for now

Yet the obituary for the PhD may be premature. Data from MIT show that in 2023, roughly 70% of AI doctoral graduates moved directly into private-sector roles, up from about 20% two decades ago. The demand for highly specialised talent remains robust, particularly among Big Tech firms and well-funded AI startups.

However, that very success has raised alarms within academia. The numbers tell a dual story: doctoral training still commands extraordinary salaries, but it is increasingly serving corporate labs rather than university classrooms. Academic leaders worry about a potential “brain drain,” where too many top minds bypass teaching roles, weakening the research pipeline for future scholars.

A generational crossroads

For Gen Z graduates navigating a fraught labour market, the message is neither simple nor comforting. Undergraduate educations might no longer result in a stable position within the white-collar world. Advanced degree positions can still be lucrative, at least in terms of certain industries, even though the technology outlook continues to fluctuate.

Ultimately, Tarifi’s warning is one concerning time and how a new generation of young professionals will choose to spend their most formative years in a world of exponential technological change. Is the education system worth considering at all if it means a potential employee will be hindered by a changing world?

But the larger question, of course, is whether any university can grow beyond its role as a factory for credentials, to a place where it can develop interdisciplinary fluency, ethical thinking, and "deeply human" competencies.
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