The Biggest Barriers to AI Transformation Are Inside the Business
Summary
Microsoft, Yahoo, and other companies are working to make artificial intelligence (AI) tools more useful for their workers by understanding how people actually do their jobs. They found that just adding AI without changing work processes and infrastructure does not always improve productivity, so careful planning and focus on business needs are important.Key Facts
- Microsoft introduced its AI assistant, Copilot, but sales staff stopped using it because it was not helpful in their daily work.
- Microsoft engineers worked closely with salespeople to create better AI tools tailored to their specific tasks.
- Yahoo found its software systems were not ready for AI and tested retooling its development setup to improve engineering speed.
- Research shows only about 32% of companies see clear improvements from AI investments, and many stop or pause their AI projects.
- Companies with weaker technology foundations are more likely to give up on AI if they do not focus on core technical needs like computing power and data.
- Experts say AI projects should prioritize business goals to decide where to invest in technology and data.
- Improving only one part of software development with AI can move the bottleneck instead of solving it, so a broader approach is needed.
- Faster AI coding makes it more important to carefully plan what to build and thoroughly check AI outputs before use.
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