AI & Knowledge Work 2025

AI and knowledge work: evaluate the task, not the headline

Fernando Angulo
Senior Market Research Manager at Semrush, an Adobe company
8 Min Read
Mar 30, 2025 · Updated Jun 11, 2026

AI changes what some knowledge-work tasks cost and how they are performed. It does not establish that every worker becomes more productive, that quality never falls or that human judgment is universally irreplaceable.


What AlphaGo illustrates

Move 37 occurred in the second AlphaGo–Lee Sedol game on 10 March 2016. Lee won game four; AlphaGo won the match 4–1. The unusual move illustrates a surprising result in a specific evaluated game. It is not evidence of performance across all knowledge work.

Read job-exposure estimates correctly

The World Bank’s April 2025 summary estimates augmentation potential for 8–12% of jobs in Latin America and the Caribbean. This is job exposure, not a measured productivity increase.

Compare work with and without assistance

For a bounded task, compare accuracy, completeness, time, revision effort and downstream errors. Include novice and experienced users rather than assuming the same benefit for everyone. An illustrative test could compare a source-checked briefing drafted with and without AI; no result from that test is claimed here.

Make responsibility explicit

Assign a person to approve important claims and actions. Decide which errors are tolerable and which require escalation. Training should include source verification and failure recognition, not just faster prompting. Expand use when the measured result supports it, not because a broad trend predicts inevitability.

Sources and scope

Practitioner analysis by Fernando Angulo. Proposed examples are not measured outcomes.

World Bank: Jobs potential of AI, April 2025

Google DeepMind: 10 years of AlphaGo, March 2026

Recommended Reading

Latest Insights

View all articles