How fast is organisational AI adoption growing?

Stanford HAI’s AI Index 2025 reports organisational AI use rose from 55% in 2023 to 78% in 2024, with generative AI use in at least one business function rising from 33% to 71%. UK ONS survey data also shows a steady upward trend by business size.

Why do leaders hesitate to scale AI programmes?

Common barriers include difficulty scaling use cases beyond pilots, workforce skill gaps, and immature governance. Surveys such as KPMG’s AI Quarterly Pulse consistently rank scaling and skills alongside security and risk management as top priorities.

Where do AI-related cost savings appear first?

Industry reporting often highlights service operations, supply chain, and software engineering as early areas where measurable savings appear — typically from well-scoped automation rather than organisation-wide transformation in quarter one.

What is a sensible first step for a Midlands SME?

Choose one repetitive workflow with clear metrics, establish a baseline, deploy with human sign-off and escalation paths, then review at 30–60–90 days before scaling. Regional support programmes can help with readiness, but delivery still needs ownership and measurement discipline.

Adoption · Midlands · Data

Agentic AI adoption in the Midlands: momentum is real, caution is rational

Source-cited adoption benchmarks, risk signals, and early ROI patterns for Leicester, Derbyshire, Leicestershire, and wider Midlands teams — ending with a practical deployment checklist.

Reading path: What is agentic AI? → Midlands SME playbook → this article

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Stylised map of the Midlands showing Birmingham, Leicester, Wolverhampton, Derby, and Coventry coverage nodes.

Updated July 2026 · ~10 min read · Source-cited

Many Midlands organisations are past “should we use AI?” The harder question is repeatable, governed operations — especially when demand is rising but delivery confidence is uneven.

Headline: adoption is rising, but scaling badly is expensive. Programmes that work tie ROI to one workflow at a time — with sign-off paths your team would accept for any new operational system.

Adoption data

Momentum is real

78% organisational AI use

Up from 55% in 2023 — Stanford HAI AI Index 2025.

71% using gen AI in a function

Up from 33% in 2023 — same index.

25% UK businesses using AI

44% among larger firms — ONS, December 2025.

Early savings by function

49% service ops, 43% supply chain, 41% software engineering — often under 10% but measurable.

Risk signals

Why leaders stay cautious

KPMG AI Quarterly Pulse: 65% cite scaling as ROI barrier; 62% workforce skills; 91% prioritise security and risk management.

Scaling past pilots

Pilot energy without control frameworks that survive real customers and auditors.

Skills gaps

Line teams lack time to own workflow definition alongside day jobs.

Governance lag

Data boundaries and sign-off paths undefined before tooling choices.

Overpromised ROI

Enterprise transformation narrative on quarter-one evidence.

Midlands context

Regional capability is growing

Space Park Leicester REALM (2026) signals advanced ML capability in-region — relevant to manufacturing supply chains and research-led businesses.

Digital Leicestershire and Growth Hub partners promote AI readiness support for SMEs. Readiness programmes help; execution still needs workflow clarity and governance.

Start narrow: one workflow, baseline KPIs, 30–60–90 day review. See Midlands SME playbook.

Sources

Stanford HAI AI Index 2025 (Economy) · ONS Business Insights (Jan 2026) · KPMG AI Quarterly Pulse Q1 2026

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Book a consultation to align regional context with one workflow, baseline KPIs, and governance boundaries.

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