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AI Enters 2026 Focused on Efficient Models and Agentic Systems

Leaders frame 2026 as the year enterprises operationalize agentic AI under tight power and security constraints.

Overview

  • Geoffrey Hinton told CNN that AI will get better in 2026 and could replace many jobs beyond call centers, intensifying worries about near-term displacement.
  • Snowflake CEO Sridhar Ramaswamy predicted Big Tech’s hold on competitive models will loosen as efficient training and customization open model building to more companies.
  • Ramaswamy also forecast an “HTTP moment” with a common protocol that lets AI agents collaborate across vendors without lock-in.
  • Enterprise rollouts are expected to prioritize quantified, domain-specific reliability, continuous learning from user interactions, and Retrieval‑Augmented Generation for more traceable, business-specific outputs.
  • Industry reporting underscores a shift from scale to efficiency—spurred by DeepSeek’s low-compute breakthrough—while warning that inference costs, data‑center power limits, and a surge of non‑human identities pose pressing operational and security risks.