The privilege of AI in Open Source

Back in 2019, I wrote that Open Source is not a meritocracy. Meritocracy says talent is the only thing that counts, but that is not true. To contribute, you also need time, a steady income, and a flexible schedule. Plenty of people lack one or more of these.

Some people can give their nights and weekends to learning a codebase, clearing the issue queue, or reviewing patches. Some are paid to do it on the clock. A lot of people can't do either. Their hours go to a second job, caring for family, or simply making it through the week.

That doesn't make these people less talented. It means they have less opportunity.

AI changes the math. It can compress the time it takes to understand enough to act. A contributor might have the skill to fix a bug, but not the time to learn an unfamiliar codebase. AI can help them understand the codebase faster.

On paper, that should be great news for Open Source. In practice, AI will only help if access and skill become shared, not private advantages.

AI access is not equal. The most capable models and coding agents cost real money, and using them well takes real skill. I pay hundreds of dollars a month for these tools and have spent countless hours learning when to trust them, when to doubt them, and how to turn their output into useful work. Many contributors do not have that money or that time.

We learned once that "anyone can contribute" is not the same as "everyone has the same opportunity to contribute". AI can repeat that mistake in a new form.

Powerful technologies rarely share their benefits evenly at first. Electricity did not create equal opportunity the moment it was invented. It only changed lives broadly when people built the infrastructure to make it widely available. The internet followed a similar path: it started with privileged access, then became useful to millions more people as access became cheaper and easier.

AI is no different. If we want AI to reduce privilege in Open Source instead of reinforcing it, Open Source projects can do their part by helping close two gaps.

The first is cost. Contributors should be able to do meaningful work without paying for the most expensive AI tools. As lower-cost models, including open-weight models, improve, Open Source projects should make them practical for contribution work.

The second is skill. Knowing how to use AI well should become shared knowledge within Open Source projects so more people can learn faster and make better contributions.

Contributing with AI should come down to talent, not to who can afford the best tools or who has the time to learn them.

Open Source already moves many things from private advantage to shared infrastructure: code, documentation, best practices, and more. We make all of these public so more people can participate and build on each other's work. The ability to use AI well for contribution should move in the same direction.

Publicly sharing AI best practices is an important start, but not enough. If we want AI to reduce the privilege of free time, those practices need to be embedded in the project and the contributor experience, not live on the side. If potential contributors have to hunt down the tools, prompts, skill files, and know-how themselves, the people short on time are the first to give up, even though they stand to benefit the most.

But more contribution is not automatically progress. As I wrote in AI creates asymmetric pressure on Open Source, AI can make it cheaper to contribute without making it cheaper to review.

The test is whether AI helps more people move from issue to tested patch while making the result easier for maintainers to trust and merge.

If we do this well, AI can make contribution less dependent on free time. If we do it poorly, it will widen the gap for contributors and increase the burden on maintainers. If we ignore AI or discourage its use, it will still show up in contributions, just without shared norms or shared accountability.

In 2019, I argued that Open Source communities should create opportunity by paying contributors. I still believe that. Paying contributors gives people time. But AI gives us another way to reduce the privilege of free time: it helps people do more with the time they have.

I want Drupal to help explore this in practice: not because we have all the answers, but because this is the kind of problem Open Source should help solve.