For years, game development scaled in a fairly predictable way.

Bigger games meant bigger teams. More producers. More meetings. More management layers. More process.

At a certain point, large studios began to resemble small cities - with entire departments dedicated not to building games, but to coordinating the people building them.

And to be fair, there were good reasons for that.

Modern games are extraordinarily complex. Open worlds, online systems, live services, cross-platform support, cinematic pipelines, motion capture, backend infrastructure, analytics, certification, localisation, marketing integration - all of it adds weight to production.

But I suspect the industry may be approaching a turning point.

Not because AI suddenly makes game development "easy" - it absolutely doesn't - but because modern AI-assisted workflows are dramatically increasing the leverage of experienced developers and highly effective teams.

The studios that thrive over the next decade may not necessarily be the ones with the largest headcounts.

They may be the ones with:

Bigger Teams Don't Always Mean Faster Development

One of the biggest misconceptions in software and game development is that adding more people always accelerates progress.

In reality, large teams create communication overhead.

Every additional layer of management introduces:

At smaller scales, communication is simple. A programmer can walk over to a designer. An artist can speak directly to engineering. Problems get solved quickly.

As organisations grow, communication increasingly becomes a system in itself.

Eventually, some teams spend almost as much time managing development as they do actually developing.

That doesn't mean management is unnecessary. Far from it.

Strong leadership is incredibly important.

But there's a significant difference between:

and:

In my own experience, I've generally tried to keep management layers relatively thin.

The best developers are usually highly self-motivated people. They don't need somebody checking on them every hour. They need:

Good leadership enables strong developers. Bad process slows them down.

AI-Assisted Development Changes The Economics Of Team Size

This is where AI becomes genuinely interesting.

Not because it magically creates games by itself. Not because "prompting" replaces engineering. And not because developers suddenly become unnecessary.

But because AI-assisted workflows can remove huge amounts of friction from development.

Experienced developers can now:

That changes the economics of development.

Historically, if you wanted more output, you often needed more people.

Now, a small number of highly capable developers - supported by effective tooling - may be able to achieve results that previously required significantly larger teams.

Importantly, though, this leverage is not evenly distributed.

AI tends to amplify existing strengths.

Strong developers often become dramatically more productive.

Weak technical foundations, on the other hand, can become even more dangerous.

Poor architecture created quickly is still poor architecture. Technical debt generated by AI is still technical debt. Bad decisions simply arrive faster.

AI can accelerate good decisions. It can also accelerate bad ones.

That's why I suspect leadership and senior technical judgement may become more important, not less.

The bottleneck shifts away from pure implementation and increasingly towards:

In other words: the value of judgement increases.

Smaller Teams May Become More Powerful

I don't believe every studio suddenly becomes a five-person indie team.

Large productions will still exist. Massive games will still require substantial resources. Specialists will always matter.

But I do believe we may see a shift towards:

In some ways, the industry may begin moving back towards something closer to highly capable "strike teams" - groups with strong technical leadership, rapid iteration, and clear ownership.

Smaller teams also tend to have advantages that are difficult to replicate at scale:

When combined with modern tooling, those advantages become increasingly significant.

A highly effective 15-person team today may be capable of achieving results that would have required dramatically larger structures only a decade ago.

That doesn't eliminate the need for experience. If anything, it increases it.

Distributed Teams And Southeast Asia

One area I find particularly interesting is how AI-assisted workflows may affect distributed international teams.

For many years, global collaboration introduced unavoidable friction:

Some of those problems still exist, of course.

But modern tooling is beginning to reduce parts of that friction.

AI-assisted documentation, translation, knowledge sharing, rapid prototyping, and workflow support may make distributed teams significantly more viable than they were in the past.

Living in Southeast Asia, I've also seen the growing strength of technical talent across the region.

The stereotype that high-level development talent only exists in the West is increasingly outdated.

Many developers across Thailand and the wider region now have excellent technical skills, strong English communication abilities, and a growing familiarity with international production pipelines.

That said, different regions and cultures still require different leadership approaches.

Building successful distributed teams isn't simply about hiring remotely and hoping for the best. Communication style, workplace expectations, confidence levels, educational background, and cultural norms all influence how teams collaborate.

Good leadership matters enormously here.

And again, that may be one of the most important themes of the AI era: not reducing the importance of people - but increasing the importance of strong leadership, communication, and team culture.

The Biggest Risk Isn't AI - It's Organisational Chaos

There's a danger that some studios will misinterpret AI as a shortcut.

More output. More code. More content. More systems. Faster production.

But faster production without clarity can create chaos surprisingly quickly.

I suspect some companies may accidentally build "AI factories" that generate enormous amounts of unstable, poorly integrated work at incredible speed.

The studios that succeed won't simply be the ones using AI tools.

They'll be the ones with:

AI is a force multiplier.

And force multipliers amplify both strengths and weaknesses.

The Future May Belong To Smaller, Smarter Teams

I don't think AI will eliminate the need for great developers.

I think it may dramatically increase the impact that great developers - and well-led teams - can have.

The future of game development may not belong to the studios with the biggest headcounts.

It may belong to the studios with:

Smaller teams. Better leadership. Greater leverage.

Not because humans matter less.

But because the right humans may matter more than ever.