AWS chief sees AI shifting from content creation to autonomous task completion

Autonomous task completion through AI inference delivers exponentially greater enterprise value than content generation, according to AWS predictions for 2026.
AWS CEO Matt Garman predicts AI inference will enable agents that accomplish tasks autonomously rather than simply generating content.

AI is shifting from answering questions to autonomously accomplishing tasks, a transformation AWS CEO Matt Garman believes will unlock far greater enterprise value.

Speaking at AWS re:Invent 2025, Garman explained that AI inference- the computing capability that allows models to generate content, make predictions, and take actions against real-world data-represents a fundamental new building block in computing.

He described it as developers gaining access to a ‘new Lego’ that enables applications to make decisions and complete work independently. The distinction between content generation and task accomplishment carries significant implications for enterprise value.

First-wave generative AI focused on writing emails and summarising documents. Task-accomplishing agents can review insurance claims, cross-reference medical records, and process approved claims without human intervention.

Garman predicts widespread enterprise value creation from agents in 2026. AWS announced Amazon Bedrock AgentCore and three frontier agents at re:Invent 2025, providing organisations with infrastructure to deploy autonomous AI agents at scale.

For business leaders, investments in agents that automate end-to-end workflows will deliver exponentially more return on investment than tools that help employees work faster.

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