Generative AI in Business: Where the Value Is Actually Landing
Executive commitment is up, realised value is uneven. The gap has a pattern — and it is mostly about workflow, not models.

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.
The pattern behind returns
- 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.
Pilots that cannot name the metric they move are not pilots. They are demos with a budget.
The cost curve nobody modelled
Inference is cheaper per token every year and more expensive per outcome, because the systems people actually want are agentic and call the model many times. Finance teams that budgeted like software licensing are being surprised by usage that behaves like cloud compute. The fix is boring and effective: per-workflow unit economics, reviewed monthly.
Labour, honestly
Headcount reductions attributed to AI are still far smaller than announcements imply, but hiring composition has shifted: fewer junior roles built on routine drafting, more roles that combine domain expertise with system supervision. For workers, the durable advantage is being the person who can tell when the output is wrong.
What good looks like in 2027 planning
Pick three workflows with high volume and verifiable output. Instrument them before you automate. Give each a single accountable owner, a target metric, and permission to be switched off. Companies doing this report returns that survive an audit; companies running forty simultaneous pilots report activity.
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Priya Raman
Business Editor, Lonic
Priya reports on corporate technology spending and previously ran competitive analysis for a Fortune 100 finance team.
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