Operating modelRelevance · high2026-07-01
Deloitte·9 min read
Deloitte: AI adoption is up, but skills and execution are now the main bottlenecks
TechnologyProfessional ServicesFinancial ServicesHealthcareManufacturing
Deloitte’s 2026 State of AI in the Enterprise report finds that while enterprise AI adoption continues to grow, most organizations are stalled moving from pilots to scaled impact. Leaders cite the AI skills gap as the single biggest barrier to integration and report that their primary response has been training and education, rather than redesigning roles and workflows around AI.
Why it matters for leaders
As an AI/Data leader in Technology, this reinforces that your first AI MVP will fail to scale if it is treated as a tech pilot instead of an execution and skills problem. You need to architect the MVP with explicit ownership, workflows, and capabilities around it, not just stand up a model and training program. This also gives you cover to argue for budget and time to redesign processes, not just buy tools.
Opportunity signal
Use your first AI MVP as a template for AI‑era roles and workflows in engineering and operations, with skills development embedded in the operating model rather than an afterthought.
highRisk signal
If you only fund tools and one‑off training, your organization will remain stuck in proof‑of‑concept mode and struggle to demonstrate ROI to the board.
medium