AI models wars

By 2026, the artificial intelligence landscape has fundamentally shifted from reactive chatbots to "Agentic AI," where autonomous systems plan and execute complex, multi-step workflows with minimal human intervention.

While OpenAI retains consumer dominance with models like GPT-5.1, Anthropic has captured the enterprise market lead by prioritizing safety and reliability, while Google leverages deep ecosystem integration with Gemini 3.

To support these capabilities, major players are aggressively pursuing vertical integration, exemplified by OpenAI's collaboration with Broadcom to deploy 10 gigawatts of custom AI accelerators starting in late 2026.

Global AI spending is projected to exceed $500 billion as enterprises move from pilots to full-scale deployment, though operational costs are rising due to the complexity of orchestrating these autonomous agents.

Technological frontiers have expanded to support multi-million token context windows, enabling models to process entire codebases or vast document repositories in a single pass.

Regulatory pressure is simultaneously intensifying, with the European Union's AI Act set for full application in August 2026, mandating strict compliance and transparency for high-risk systems.

This era is further defined by a geopolitical "cold war" over compute resources, characterized by U.S. export controls and China's parallel push for open-source leadership and semiconductor self-sufficiency.

Finally, intelligence is increasingly extending into the physical world, with humanoid robots and "Physical AI" gaining traction in industrial and service sectors to address labor dynamics.