Over the past six months, the AI market has shown signs of entering a new phase of maturity.
What started as the race to experiment with large models and launch early AI features has increasingly evolved into a challenge of scaling AI into durable, economically sound products.
Drawing on survey data from ~300 executives building AI products, alongside deep operating insights from the ICONIQ Community, our bi-annual State of AI report captures how companies building AI products are navigating this transition, from model strategy and product differentiation to agentic workflows and monetization.
Across the data, in our view, one pattern is unmistakable. While AI is now embedded in many product roadmaps and organizations, outcomes are diverging. The advantage is accruing to teams that can scale AI into production reliably, manage costs thoughtfully, and integrate it deeply into workflows that matter.
The takeaway to us is clear: AI leadership in 2026 will be defined by disciplined execution across product, cost, trust, and go-to-market.