CUDA (Continued)

Artificial Intelligence · Labor · Business · tech

But Huang did what those destined for retroactive myth always do: he endured humiliation in real time and called it strategy.

He made one more choice — the kind that only matters years later. He refused to pivot.

His leather jacket may look effortless now, but it was not bought with ease. It was bought with refusal.

Back in Cambridge, a student raised her hand — a motion halfway between courage and surrender — and asked: If AI becomes smarter than us, where does that leave us?

Across the Atlantic, economists at the IMF, ILO, and OECD were already writing reports about AI’s “substantial consequences” for work⁴ — warning that automation does not erase jobs so much as hollow out the middle.

McKinsey consultants held their own slide decks: People, agents, and robots⁵. Robots do physical labor. AI agents do standardized tasks. People, they said, must handle “the complex, ambiguous, and emotional.” A sterile description for something that, in real life, tastes like fear.

A week later, thousands of miles away, Sam Altman sat on a stage in Singapore, loosening his tie as if it were an unnecessary relic of another economic era. “AI won’t take your job,” he said, “not if you learn to work with it.” He spoke of abundance, lowered costs, new industries yet unnamed.

But the economists’ models — the ones Altman did not reference — pointed somewhere darker: the fading of routine cognitive work⁴.

And beneath all of this — beneath GPU cycles and PhD theses and consulting taxonomies — another truth was forming:

The future will not belong to the people who make the most things — it will belong to the people who choose what matters. AI can pour out answers, drafts, designs, plans faster than any human. What it cannot do is decide which one a community will trust, which one will make a customer stay, which one won’t destroy the world when it scales. The winners won’t be the ones cranking out content like machines — it will be the ones who look at a hundred options and say, quietly and confidently: this one.

Near the end of the lecture, a student whispered — maybe not to anyone in particular — So what are we supposed to be now?

Huang did not smile. He said, If I were 22 again, I would study physics⁷. Reality, not syntax. The world beneath the world. He spoke of suffering — not as poetry, but as curriculum. Greatness comes from character. Character comes out from people who have suffered¹.

When the lecture ended, the room emptied in murmurs and footsteps. The scent of wet wool drifted out the doors, into the cold.

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