Your Company Is Measuring the Wrong Thing About AI | Opinion
Summary
Many companies focus on how much employees use AI tools instead of whether AI actually improves the business. Experts say leaders should measure how AI boosts productivity, supports good decisions, protects company knowledge, and creates real financial benefits.Key Facts
- Companies often measure AI success by user activity, not business results.
- AI is expected to reshape 50-55% of U.S. jobs soon and potentially eliminate 10-15% over time.
- AI should be applied to solve specific business problems, not just added for its own sake.
- Automating tasks only helps if it reduces errors, saves meaningful time, or improves work quality.
- AI works best when it supports human judgment, such as in financial modeling.
- Good AI use lets employees focus on creative and strategic tasks, increasing workforce skills.
- Poor AI implementation can fragment work, duplicate tools, and lose company knowledge.
- Leaders need an AI value scorecard measuring financial, operational, and human factors before and after AI use.
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