AI tool choice now depends on access and autonomy

Ethan Mollick's Summer 2026 guide argues that choosing an AI tool now means choosing both the model and the agent environment it can use. It distinguishes cloud-run agents from tools that can access a user's own computer and highlights approval settings, prompt-injection risk, usage limits and different strengths across common work tasks.
AI selection used to be treated mainly as a question of which chatbot produced the best answer. Agent-style tools now differ just as much in what they can open, which applications they can control, how long they can work and whether they can take actions without constant supervision. That turns tool choice into a work-design and risk decision rather than a simple model comparison. Managers need to match the tool to the task, the sensitivity of the data and the cost of a wrong action instead of adopting one assistant for every kind of work.
Analysis
Choose one real task and write down the data it needs, the actions it may take and which steps require approval before comparing AI tools on the same brief.
Source note
Pulse published by Collab365 Spaces, reviewed by Helen Jones on . Cite as "AI tool choice now depends on access and autonomy", Collab365 Spaces. 1 source referenced.