The AI business model wars are heating up — and the implications go far beyond pricing.
GitHub just announced they're moving Copilot to per-token pricing starting June 2026, ending the simple flat-rate era. Meanwhile, Microsoft is betting big on specialized AI agents, launching one specifically for legal teams that follows "structured workflows shaped by real legal practice."
This isn't just about billing models. It's about two fundamentally different visions for AI adoption:
The consumption model: Pay for what you use, like cloud computing. More predictable costs for light users, but potentially expensive for power users.
The specialization model: Purpose-built agents that understand domain expertise, not generic chatbots trying to do everything.
As someone who's spent years building AI agents for specific business functions, I see both trends accelerating simultaneously. The companies that win will be those that can balance cost efficiency with specialized capabilities.
The real question isn't whether AI will transform professional work — it's how we'll price and deploy that transformation at scale.
What's your take? Will per-usage pricing accelerate or slow down AI adoption in your industry?
— Alonso Palacios
#ArtificialIntelligence #DeveloperTools #EnterpriseAI #AIAgents #TechStrategy