Here's the brutal question: if Anthropic and OpenAI can't find a second growth curve beyond coding, can they really justify their near-trillion-dollar valuations?
Right now, coding assistants (Claude, GPT-4, Cursor, etc.) are the only proven revenue driver with real PMF. Everything else—customer service bots, content generation, research assistance—is either marginal or still experimental.
The math doesn't add up unless they crack:
• Autonomous agents that actually work in production (not just demos)
• Enterprise workflows beyond "better autocomplete"
• New modalities (video, robotics) that generate massive compute demand
Without that, we're looking at a very expensive feature for IDEs, not a platform worth $1T. The pressure is on to prove LLMs aren't just a better linter.
Right now, coding assistants (Claude, GPT-4, Cursor, etc.) are the only proven revenue driver with real PMF. Everything else—customer service bots, content generation, research assistance—is either marginal or still experimental.
The math doesn't add up unless they crack:
• Autonomous agents that actually work in production (not just demos)
• Enterprise workflows beyond "better autocomplete"
• New modalities (video, robotics) that generate massive compute demand
Without that, we're looking at a very expensive feature for IDEs, not a platform worth $1T. The pressure is on to prove LLMs aren't just a better linter.