When we approach AI from a marketplace perspective, it’s not just about buying and selling models. It’s about how different groups, individuals and enterprises actually use AI in practice. Each level of adoption has its own practice, and each is evolving quickly.

Individuals -> Vibe Coding

For anyone riding solo, be it a developer, freelance or indie engineer, AI is a coding buddy. Probably an essential coding buddy. This is where “Vibe Coding” shines. You can utilise AI to create a boilerplate and expedite small projects, thereby freeing up time and energy for creative flow. It doesn’t require a big infrastructure investment and can be cheaply integrated into your workflow.

Medium – Large Projects -> Agentic Swarms

Things get messier once our projects begin to scale beyond a single person. Communications, tasks and bottlenecks start to appear. Here is where agentic swarms are showing promise: teams of specialised AI agents coordinating with each other, where each has a role and reports back.

Though it’s a good solution, we’re not exactly there yet, as organisations are still experimenting with this, but the trajectory is clear. The future of medium to large projects may look more like a coordinated ecosystem of AIs.

Enterprises -> Integrated AI Systems

At the enterprise level, the story is different. It’s not just about productivity, it’s about scalability, compliance and governance. Early on, enterprises experimented with prompt engineering per dev, but it seems the trend now is systematised integrations: AI copilots built directly into IDEs – still one AI per dev but standardised and governed. The difference is not the surface experience, but under the hood.