The market has already begun to transition from “Phase 1” to “Phase 2.” Examples of companies entering “Phase 2” include Harvey building custom LLMs for top law firms, Glean crawls and indexes our workspaces to make generative AI more relevant at work, and Character and Ava which are creating digital companions.
Market Map
Unlike last year’s map, we chose to organize this map by use case rather than by model modality. This reflects two important trends in the market: the evolution of generative AI from a technical tool to real usage scenarios and value, and the increasingly multimodal nature of generative AI applications.
Additionally, we introduced a new LLM Low-Level Memory dominican republic mobile database developer stack that reflects the compute and tool vendors that companies rely on to build generative AI applications in production.
Re-examining our topic
Our original paper proposed a thesis for the generative AI market opportunity and a hypothesis for how the market might develop. How did we do?
Here are our misjudgments:
Things are moving fast . Last year, we estimated it would be almost a decade before we had intern-level code generation, Hollywood-quality videos, or human speech that didn’t sound robotic. But with a quick listen to Eleven Labs’ voices on TikTok or Runway’s AI Film Festival, it’s clear that the future is already here, fast. Even 3D models, games, and music are rapidly getting good.