How Computer is reshaping knowledge work

A study conducted with Harvard Business School researchers examines how users employ Perplexity Computer, an agent-based system that coordinates more than 20 AI models and connected tools to complete multi-step knowledge-work tasks from high-level objectives. Compared with Perplexity Search on similar requests, Computer performed substantially more machine work and external-tool interactions, while the study estimates it reduced task completion time by 87% and cost by 94% across 10,000 matched tasks spanning 18 fields. Users increasingly requested finished outputs rather than answers, with many tasks involving creation, analysis, non-routine work, and multiple areas of expertise, including work outside users’ primary occupations. The findings suggest that by automating execution, users shift toward defining goals and reviewing results, enabling them to pursue work that may previously have required more time or specialized support; however, the authors note that Computer is still new and that its longer-term effects on teams and organizations remain uncertain.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.