Jensen Huang Is Wrong: History Says So

A former Rust Belt stockbroker I know — the kind of man who watched entire towns hollow out in the 1980s while the economists wrote papers about "structural transition" — puts it simply: "The jobs that disappeared didn't come back. They just disappeared."

Nvidia's CEO Jensen Huang is making the rounds with a confident claim: artificial intelligence will create more jobs than it destroys. He is brilliant, his company is worth more than most sovereign economies, and he is almost certainly wrong about this one.

Here is the mechanism he is missing, and it matters whether you are a junior analyst in Valletta or a mid-level manager in Sliema who thinks their position is safe.

When the Rust Belt collapsed, the promise was identical. Automation would free workers for better, cleaner, more creative roles. What actually happened: the better roles required different skills, different geography, different social capital. The displaced steelworker did not become a software engineer. His children, sometimes. Him, rarely. The transition was real. The comfort it offered the people living through it was zero.

AI is moving faster. The white-collar equivalent of the factory floor — data processing, basic analysis, first-draft legal documents, entry-level code — is compressing at a rate that makes the 1980s look gradual. What Huang describes as opportunity is real at the macro level and brutal at the individual level. Economies do adapt. Careers, in the middle of adaptation, do not feel like opportunities. They feel like the ground shifting.

The honest call is this: if your current role involves taking information in one form and producing it in a slightly different form, the AI timeline for your function is not ten years away. It is three to five. That is not panic — it is reconnaissance. The people who will navigate this well are not the ones waiting for their employer to retrain them. They are the ones who identified the exposure themselves and started moving.

The skill that survives every technological shift is the same one it has always been: judgment in conditions of uncertainty. Analysis you can explain, decisions you can defend, trust you have built with people who matter. Machines do not have clients who ring them at 11pm because they are frightened.

In Malta, where the labour market leans heavily on financial services, igaming, and professional services — all sectors currently absorbing AI at the operations layer — this matters now. If you want to stress-test your own position, start with what percentage of your working week a well-prompted model could replicate. That number is your exposure. Do something with it before someone else does it for you.

Check where your role sits against current Malta salary guide benchmarks — the gap between what the market pays and what AI can deliver is narrowing faster than most people's last performance review.