This is the question everyone wants a clean answer to, and the honest truth is that nobody knows the exact net number. What we do know — from the major labor forecasts and from running a company that has both eliminated and created roles because of AI — is the shape of the change. And the shape matters more than the net.

What the major forecasts say

The World Economic Forum's Future of Jobs Report 2023 projected that by 2027, AI and related technology would create roughly 69 million new jobs while eliminating 83 million — a net decline of about 14 million, or 2% of current employment. Not the apocalypse. Not nothing.

The World Economic Forum's Future of Jobs Report 2025, released in January 2025, projected 170 million new jobs created and 92 million displaced by 2030 — a net positive of 78 million jobs globally. The framing shifted toward net creation, driven by green transition, technology roles, and care economy growth alongside AI.

So the two most authoritative forecasts within two years gave different net numbers. That should tell you something: the net number is genuinely uncertain and depends heavily on assumptions. What's consistent across both is the magnitude of churn — tens of millions of jobs changing on both sides.

The historical pattern

Every major technology wave has followed the same pattern: it destroys specific jobs and creates different ones, usually more in aggregate, but with painful transitions for the people in the destroyed roles. The automobile destroyed the horse-carriage industry and created the auto industry. The internet destroyed travel agencies and created entire new sectors. The people who lost jobs were real, and the new jobs went to different people.

AI is likely to follow this pattern. The aggregate number of jobs may well grow. But that's cold comfort if you're the data-entry clerk whose role was automated and the new jobs are AI ops roles you're not positioned for.

Why "net jobs" is the wrong thing to focus on

Here's what I've learned running a company through this: the net number is an abstraction that doesn't help any individual. What helps an individual is understanding the transition — which jobs are growing, which are shrinking, and how to move from one to the other.

When we restructured our production roles at TTGC, the net headcount in that department didn't change dramatically. But the composition did completely. We needed fewer manual producers and more people who could direct AI tools and ensure quality. For the individuals involved, "the net number stayed roughly the same" was meaningless. What mattered was whether they could make the transition to the new kind of role.

The jobs being created

AI is creating jobs in categories that barely existed a few years ago:

The jobs being eliminated

And it's eliminating jobs in categories that were stable for decades: data entry, basic content production, routine customer service, simple document processing, entry-level coding tasks. The pattern, as Pew Research documented in 2023, is that the exposure is concentrated in white-collar pattern-matching work.

The honest take

Will AI create more jobs than it destroys? Probably, in aggregate, over a long enough time horizon — that's what most forecasts and historical precedent suggest. But that aggregate answer is almost useless to you as an individual. The jobs created won't automatically go to the people whose jobs were destroyed. The question that actually matters isn't "will there be enough jobs?" It's "will I be positioned for the jobs that exist?" That one, you control.

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