Vertical: Global AI Spend to Reach $2.52 Trillion in 2026

BlockBeats News, March 14th. International research firm Gartner released its latest forecast, predicting that the global AI ​​total expenditure will reach $2.52 trillion in 2026, a 44% increase from 2025. AI is undergoing a fundamental transformation: the foundational layer is experiencing rationalization, while the application layer is witnessing innovation explosion. Gartner summarizes this as "dual-speed development" — where foundational models are maturing, and the application layer is accelerating innovation.

Gartner points out that by 2026, generative AI has entered the "trough of disillusionment" on the technology maturity curve. This is not a technological failure but a necessary correction as the market returns to rationality. Research by the Massachusetts Institute of Technology's Project NANDA team shows that 95% of enterprise generative AI pilot projects have not delivered measurable business value, highlighting serious implementation challenges.

Enterprise procurement strategies are shifting towards pragmatism, leaning more towards obtaining embedded AI capabilities from existing software vendors, signaling that AI is becoming a standard feature of enterprise software. Pragmatic procurement has not hindered infrastructure investment. The report indicates that AI infrastructure spending will reach $1.36 trillion in 2026, a growth of approximately 49% from 2025.

The application layer is experiencing an innovation explosion. Gartner predicts that by 2028, over half of the generative AI models used by enterprises will be domain-specific models, with strong momentum already evident in 2026.

Agentive AI emerges as a core technology trend in 2026. Unlike traditional generative AI, AI agents can autonomously make decisions, plan, and execute tasks. For example, in cloud cost optimization, AI agents can continuously monitor and auto-tune, shifting cost optimization from "post-event visibility" to "continuous execution." Multi-agent systems further amplify this capability.