The Question AI Cannot Ask

At a commencement ceremony at Middle Tennessee State University recently, Scott Borchetta, CEO of Big Machine Records, was met with jeers the moment he mentioned artificial intelligence. His response to the graduating class: "Deal with it. It's a tool."

He was right. He was also the wrong person saying it in a way guaranteed to invite the ire of a couple of thousand young women and men already terrified about facing a soft job market. That is perhaps why nobody in that auditorium was listening.

Across American campuses this graduation season, the pattern has repeated itself. Eric Schmidt, comparing today's AI moment to the rise of computers, was heckled at the University of Arizona. A real estate executive at the University of Central Florida was booed mid-sentence for invoking the Industrial Revolution while referring to AI.

The anxiety is real. And it is often met with either platitudes or impatience by those already in the workforce or past the age where it matters. Neither is helpful.

What Is Actually Happening

Artificial intelligence is not a rumour, a hype cycle, or a management consultant's fever dream. It is a structural shift in how cognitive labour gets allocated.

The numbers are difficult to ignore. Hiring of recent graduates by major technology companies has dropped 25% in a single year and is down 50% compared to pre-pandemic levels. Graduate unemployment in the United States is at its highest point in a decade outside the pandemic. Unusually, recent graduates are now faring worse than the broader labour market.

The jobs disappearing are specific: the paralegal reviewing standard contracts; the junior analyst reformatting data into slide decks; the entry-level coder writing boilerplate functions; the customer support agent working from a script. These are not failures of individual people. They are simply roles that AI can increasingly perform faster, cheaper and without a lunch break.

That truth deserves to be said plainly, without the soft soap of reassurance and without the theatrical doom of dystopia. The anxiety in those auditoriums is not irrational. It is a reasonable response to real information.

The problem is not the feeling. The problem is what the feeling is doing to the thinking.

This Is Not Just An American Story

It is tempting, reading about Stanford walkouts and booed commencement speakers, to file this under “things happening elsewhere.” It would also be wrong.

In India, youth unemployment among those aged 15 to 29 rose to 15.2% in March 2026. More than two-thirds of unemployed Indians aged 20 to 29 are graduates. India adds roughly five million graduates to the workforce every year. The economy generates work for barely 2.8 million of them.

AI is not the sole reason for this gap. Weak curricula and a degree-to-job mismatch predate the technology by decades. But AI is reshaping which jobs survive within it, placing pressure on precisely the mid-tier IT and back-office roles that once absorbed graduates most rapidly.

South Korea tells a similar story. The Bank of Korea has linked a rise in the number of young people who have stopped looking for work to AI-driven changes in the labour market and a growing preference among employers for experienced hires. It estimates that 98% of youth jobs lost were concentrated in industries with high AI exposure.

The United Kingdom, still a major destination for Indian students seeking a foreign degree, offers a third version of the same trend. Entry-level job postings have fallen sharply since ChatGPT’s arrival. Graduate vacancies are down and a growing number of employers openly acknowledge that AI will reduce their need for entry-level hires.

Put these examples together and a broader picture emerges.

This is not one phenomenon with one cause repeating itself identically across borders. It is a generation arriving at the threshold of working life only to discover that the threshold has moved.

The reasons may differ by country. The outcome increasingly looks the same. The old promise that a degree buys a stable place in the workforce is becoming harder to sustain.

Whether you are in Bengaluru, Seoul, London or Tucson, the uncertainty feels remarkably similar.

The problem is not the feeling. The problem is what the feeling is doing to the thinking.

The Trap Young Job Seekers Must Avoid

When a technology arrives that can do things you were trained to do, the instinct is either to defend the territory or to use the technology lazily. Both responses are dangerous.

Treating AI as a glorified search engine. Generating a first draft and submitting it without reading it. Outsourcing thinking rather than extending it.

This is how people make themselves genuinely replaceable.

Not because AI takes their jobs, but because they voluntarily stop doing the parts of their work that AI cannot do.

Where Human Value Still Lies

Here is what many commencement speakers are not saying because it requires more than a soundbite.

AI is extraordinarily good at answering questions. Human advantage increasingly lies in identifying the unposed questions.

That is not a minor distinction. It is increasingly where human value resides.

AI is extraordinarily good at answering questions. What it cannot do is decide which questions matter.

Every AI-generated analysis, summary, legal brief or line of code begins with a question posed by a human being. The quality of the answer depends heavily on the quality of the question.

The most consequential questions are rarely obvious. They challenge assumptions. They reveal that the problem everyone has been solving is the wrong one. They identify opportunities where others see only constraints.

When Alexander Fleming noticed mould contaminating a bacterial culture and asked what it might mean, he was not following a known path. The data already existed. The question was new.

That is often how knowledge advances.

A language model learns from what humanity has already thought and recorded. It can synthesise existing knowledge with extraordinary fluency. But the questions that matter most are often the ones that have not yet been asked.

They emerge from curiosity, friction, judgement and the particular vantage point of a human being paying attention.

What This Asks Of You

If you are a young graduate at the threshold of a career, life is asking something harder of you than simply acquiring a new skill set.

It is asking you to develop a relationship with uncertainty that most educational systems are designed to discourage.

School poses questions and rewards correct answers. The problems are bounded. The rubric is known.

AI is becoming remarkably good at that game.

What it does not train you for—and what the next two decades may reward disproportionately—is the ability to sit with ambiguity, resist the urge to reach for an obvious frame, and ask what is actually going on.

To notice what is missing from an analysis rather than admire its fluency.

To be genuinely curious rather than merely efficient.

These are not soft skills. They are some of the hardest and most valuable capabilities in the economy.

Borchetta was right, even if his delivery was wrong. AI is a tool.

The graduates who thrive will neither resist AI nor be dazzled by it. They will learn to use it fluently while developing the capacities that remain stubbornly human: judgement, curiosity and the ability to recognise the unposed question.

The future may belong less to those who know the answers and more to those who can identify the questions nobody else is asking.