Microsoft president Brad Smith has spent four decades around computer scientists, and he says they keep making the same two mistakes: overestimating how fast a new technology will spread and underestimating what people are capable of. Smith placed both ideas at the center of a 3,000-word essay written in response to graduating students who booed mentions of AI during commencement speeches this spring. His interpretation is not that the students are wrong, but that the tech sector is.
Why a Microsoft Executive Is Listening to College Students
Smith argues that technology disrupts fields, but people adapt and create new kinds of work. He draws a parallel to the invention of the camera in 1838, which was thought to spell the death of painting, but instead led to new art movements. Similarly, word processors and spreadsheets did not eliminate jobs but created entire knowledge economies and more complex financial models. Smith writes, 'When technology increases supply, human ambition often generates more demand.'
He also acknowledges a business reason for his optimism: 'Workers have been Microsoft's lifeblood from the start. If the world's people don't have jobs, then neither do we.' Machines, he notes, do not buy products; people do.
The Uncomfortable Reality of Job Displacement
Smith does not pretend the job market is healthy. He calls the situation facing the class of 2026 a 'perfect storm' of AI automation, corporate headcount reductions to fund AI investments, geopolitical uncertainty, and pandemic-era over-hiring. The tech industry shed over 38,000 jobs in May alone, with heavy cuts at Oracle, Meta, and AWS. Standard Chartered plans to cut 7,800 back-office roles by 2030, and Goldman Sachs estimates 16,000 US jobs vanish to AI every month.
Microsoft's own actions complicate the message: CFO Amy Hood reported a year-over-year headcount decline and expects the trend to continue, while the company plans to spend $80 billion on AI infrastructure in 2026. Smith's essay offered no commitment to slow deployment, protect entry-level roles, or fund retraining at scale.
What Smith Tells Graduates to Do
Smith advises graduates to stop thinking of a job as a title and instead as a bundle of tasks. He suggests sorting tasks into three buckets: what AI can do, what you can do with AI, and what only a human can do. If nearly everything falls into the first bucket, find a different line of work. For most, the bulk sits in the second bucket, where AI becomes a tool.
He lists five human skills that will hold their value: curiosity, creativity, compassion, communications, and courage. His advice is to pursue a passionate field, master it, and add AI fluency on top.
Industry Leaders Soften Their Tone
Other tech leaders are also reaching for gentler language. OpenAI's Sam Altman no longer expects a 'jobs apocalypse,' and Microsoft AI chief Mustafa Suleyman now says he was misunderstood when he predicted most white-collar tasks would be automated within 12 to 18 months. Public opinion has curdled: a May Economist-YouGov poll found 71% of Americans think AI is moving too fast, and cities like Seattle have imposed moratoriums on new data centers.
Anthropic CEO Dario Amodei remains the loudest voice on the other side, warning that AI could erase up to half of entry-level white-collar jobs within one to five years. Smith lands between alarm and cheerleading, closing by telling graduates, 'While it may feel unfair that the job market is so uncertain, you were made for this moment.' He urges them to stand for agency, ambition, and dignity.
