Why the Games Industry Keeps Laying People Off

The games industry has been laying people off for four years straight. This is not one bad month at one badly managed studio. It is a pattern.

Recently, a friend told me about someone he knows who has 20 years of experience as an artist. After looking for work for quite some time and being unsuccessful, he announced that he is going to sell his house and move into another industry.

I have heard too many stories like this. People who spent decades learning their craft, building games, and contributing to the industry are being pushed out of it because they cannot find a stable job. It truly breaks my heart. These are not abstract “resources” on a spreadsheet. They are people with homes, families, skills, and lives built around work they were proud to do.

I have always had a backup plan in the back of my mind: learn a trade. Maybe become an electrician. That is not because I think trades are effortless or immune to economic downturns. It is because there is something appealing about work that produces a tangible result, serves a local need, and cannot be moved entirely to the other side of the world or replaced by the next round of corporate strategy.

The Wikipedia overview of the 2022–2026 video game industry layoffs provides a useful chronology. The Game Industry Layoffs archive is one of the better attempts to keep track of the scale. Its 2022, 2023, 2024, 2025, and 2026 pages provide a useful lower-bound-ish picture. It is not an audited industry census, and many entries have unknown headcounts:

That is roughly 43,500 reported or estimated jobs across the five calendar years above. The number should not be treated as exact. The archive includes studio closures, estimates marked with ~, entries with no known headcount, and only events that someone was able to find and document. Still, it is difficult to look at the trend and conclude that everything is fine.

My theory: a boom, followed by a correction

My view is that three forces overlap here.

First, COVID created a huge burst of attention and investment. People were stuck at home, games became one of the easiest forms of entertainment to access, and the industry appeared to be growing faster than ever. That made it easier to justify more studios, more projects, bigger teams, and more aggressive spending.

The important part is that companies did not only respond to the demand that existed. They started planning around the demand they expected to continue. A temporary change in behavior became the foundation for permanent budgets.

There was real growth during that period. The problem was not that the growth was imaginary. The problem was treating an extraordinary period as a new baseline.

Then people went outside again. Spending and engagement normalized. Interest rates went up, making speculative investment more expensive. User acquisition became harder, especially for mobile games. At the same time, the cost and schedule of making large games kept increasing.

This is where the overleveraging shows up. A company can survive one disappointing game if it has a small team and a modest budget. It is much harder to survive when it has bought several studios, hired hundreds of people, and started a collection of games that will not ship for years.

The layoffs are the delayed bill for those decisions.

The numbers match the story

The timing is not proof of causation, but it is consistent with this explanation. The archive’s estimate rises from 8,500 layoffs in 2022 to 10,500 in 2023 and 14,600 in 2024. Those years also contain some very visible examples of companies reducing teams after expansion or portfolio changes.

In September 2023, Epic announced 830 layoffs while saying it had been spending more than it earned for a long time. Embracer’s acquisition-heavy restructuring led to studio closures and cuts across the group, as documented in the 2023 archive. In February 2024, Sony announced roughly 900 PlayStation layoffs. Electronic Arts announced that it would cut about 5% of its workforce, roughly 670 people according to the archive’s record. These are not identical situations, but they all point at the same industry-wide pressure: too much cost was built around too many bets.

It is also worth remembering that the games market itself did not disappear. Newzoo’s 2025 update put global games revenue above $200 billion, and its 2026 forecast puts it at $213.9 billion, up 6.1% year over year. That is revenue, not employment, and it does not tell us how evenly the money reaches studios or workers. A large and growing market can still be a terrible place to work when revenue is concentrated in a small number of successful games and investors expect every company to grow faster than the market.

This is also easy to investigate further. Search for something like “profitability of games 2026” and you will find forecasts from other years and other analysts. Comparing those estimates is useful because it shows how the expectations around the industry change over time. I would still check the original source before treating any number as fact.

That concentration matters. More people playing games does not mean every studio has a sustainable business. A handful of live-service games can capture a huge amount of players’ time and money while hundreds of other projects struggle to be noticed.

Where AI fits

I do think AI is contributing to the pressure on workers, but I would be careful about saying it explains the layoffs we have seen so far. The clearest explanation for the first waves is still the post-COVID correction, expensive projects, cancelled games, studio consolidation, and investors demanding better margins. Many of the largest cuts happened before generative AI had become a practical part of everyday production.

The Stanford Institute for Economic Policy Research says there is little evidence that AI is causing significant job losses overall right now. The Yale analysis identifies a more specific concern: fewer entry-level opportunities, making it harder for people to begin careers and gain experience. A Harvard Business School analysis reaches a similar conclusion from a broader business perspective. AI is more likely to change many jobs than eliminate them all at once, but that change can still mean fewer openings and different expectations.

Personally, I use AI for financial forecasting, and it is really good at that kind of work. It can compare assumptions, model scenarios, and point out patterns that I might otherwise miss. I also use it for an initial localization pass, so we can get the data into shape before sending the work to paid localization professionals or companies later. It gives us a useful first pass, but we still have to review the results, make decisions, and pay people to finish the work properly.

Games companies may use it differently. AI can automate or accelerate parts of concept art, localization, customer support, testing, animation, and code generation. Some companies will use it to avoid hiring for roles they would previously have filled. Others will use it to pressure existing teams to do more with less. That may make AI an accelerant, or a convenient justification, for a company that already wants to shrink.

But the public announcements usually cite restructuring, cancelled projects, studio closures, weak performance, or a change in strategy. Those are the concrete reasons. There is still not good evidence that AI is responsible for most of the layoffs in the archive.

The uncomfortable conclusion

The industry did not become unprofitable because developers suddenly forgot how to make games. It became unstable because companies scaled a hit-driven business as if growth were guaranteed.

COVID brought more players, more money, and more confidence. Companies turned that confidence into permanent costs. The audience normalized, the costs remained, and now workers are absorbing the consequences through layoffs.

AI may change how games are made. It may eventually reduce the amount of labor needed for some tasks. But it cannot fix a publisher that spends too much, cancels projects late, acquires studios it does not understand, or bets the company on one game.

The people losing their jobs are not the cause of this correction. They are the most visible cost of it.

until next time