What's Next for AI in 2026: Trends From the Experts

Several expert sources have laid out how they expect AI to evolve through 2026. Here’s a synthesis of the key trends.

Agentic AI moves from demo to product

If 2025 was the year of the chatbot, 2026 is shaping up to be the year of the agent. Agents no longer just answer questions — they execute multi-step workflows, navigate browsers, and take actions on users’ behalf. Microsoft’s analysts describe agents acting “more like teammates than tools.”

The AI bubble will deflate

MIT SMR’s Thomas Davenport and Randy Bean are blunt: the AI bubble will burst, likely soon. The signs — sky-high valuations, an emphasis on user growth over profits, and an expensive infrastructure buildout — echo the dot-com era. They hope the deflation is gradual.

Chinese open-source models keep rising

Chinese AI firms’ embrace of open source has earned global goodwill. Expect more Silicon Valley products to quietly ship on top of Chinese open models, with the gap between Chinese and Western releases shrinking from months to weeks.

An LLM will make an important discovery

Google DeepMind’s AlphaEvolve combined Gemini with an evolutionary algorithm to discover new algorithms, including better ways to manage data center power. Researchers are now scaling this approach toward unsolved math and drug discovery.

Legal fights heat up

2026 will see messy liability questions go to trial: Can AI companies be liable for what their chatbots encourage? Can a creator be sued for AI-generated defamation? The answers are coming this year.

The common thread: AI is shifting from “instrument” to “partner” — with all the opportunity and risk that implies.