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generative ai in business

Global growth forecasts for 2026 sit around three percent, and technology investment is one of the few components holding firm. Surveys of executives keep reporting the same split: continued investment in generative AI in business, alongside a stubborn minority of programmes that show no measurable return. The difference between the two groups is remarkably consistent.

• Value shows up where a full workflow was redesigned, not where a chat box was bolted onto an existing tool.
• Winning programmes measure a business metric — cycle time, cost per case, revenue per rep — rather than adoption.
• Data access, not model capability, is the binding constraint in roughly two-thirds of stalled projects.
• Teams with a named owner and a decommissioning rule ship faster than committee-run centres of excellence.