2026 State of AI: The Builder’s Economy

AI builders are moving from proving that AI works to building economically durable businesses, with application depth, pricing, cost control, and organizational design becoming decisive.

• Nearly two-thirds of surveyed companies build horizontal or vertical applications, including 43% focused on vertical AI; data analytics and business intelligence rank first among use cases, followed by productivity and collaboration.
• Customer usage is becoming habitual: 60% of products are used daily and 24% several times per week, while agentic capabilities and agent reliability or orchestration are the top customer-facing investment priorities for the next 12 months.
• Companies use about 3.3 model providers on average in Q2 2026, up from 3.1 in Q4 2025; Anthropic's adoption rose from 51% to 81%, while licensed third-party APIs remained the leading model type at 80% and open-source models reached 40%.
• AI products increased from 32% of revenue in 2025 to a projected 42% in 2026, while gross margins rose from 45% to 53% and are expected to reach about 59% by 2027; consumption- and outcome-based pricing accounted for 42% and 23% respectively.
• Organizational effects are material: 45% of companies plan a different mix of roles and 33% plan smaller teams, even as internal AI productivity gains are offset by uncertain costs from tokens, data infrastructure, and enablement.

Takeaway: Investors should focus less on whether companies have AI features and more on whether they have defensible workflows, reliable agents, enterprise controls, pricing aligned with usage and value, and improving unit economics; the survey evidence is directional and based on anonymized software-company respondents.