MIT: Technology Created Jobs. Will AI Do the Same?

An MIT study shows that over 70 years after World War II, every technological wave in the United States created new jobs. But now scientists ask whether this will repeat when artificial intelligence enters the scene.

How Technology Created Jobs

Continuous computerization, automation, and digitization throughout the 20th century did not lead to mass unemployment, as economists feared. Instead, each wave of innovation opened new professions and positions. Programming, web design, IT support, data analytics, cloud architectures — all these jobs emerged only because technology appeared that required people to implement, maintain, and develop it.

MIT researchers analyzed several decades of American history and identified a clear pattern: technology creates more jobs than it destroys. This takes time — not months, but years. But usually the economy adapts.

Who Benefited from History

However, not everyone benefited from this. Young and skilled professionals received most of the new positions. These were people who could quickly adapt to changes, retrain, and master new tools. Older workers, people without education, and those living far from economic centers typically lost out.

The study identified several factors for success:

• Youth and mental flexibility
• Access to education and retraining
• Willingness to change professions
• Geographic mobility (ability to relocate to cities)
• Speed of mastering new technologies

AI Is Different from the Past

But artificial intelligence is a completely different beast. Unlike computers and the internet, AI does not require a human at certain stages. Where designers, analysts, and programmers were once needed, now AI can perform this work entirely or in significant part. The speed of displacement could be much higher.

MIT researchers honestly acknowledge: it's unclear whether the historical trend will hold this time. AI could create entirely new professions we cannot yet imagine — prompt engineers, AI trainers, verifiers. Or it could happen that it leaves part of the workforce with no way to change professions.

"Every previous technology required a human somewhere in the chain.

AI may be the first time this is not the case."

What This Means

Young professionals ready to retrain and work alongside AI could be in a very good position. Others need not just a love of education, but real access to it. At the state level, this means: large-scale retraining, digital literacy, social support. On a personal level: relying on one profession is risky. History has shown that adaptation is possible. But it has never been this fast and large-scale.