Digital Strategy & Innovation

Deloitte’s 2026 AI report shows enterprise AI shifting decisively from pilot to production, with worker access up 50% and skills gaps — not technology — as the main barrier. Here’s what CFOs, GCs, and boards need to prioritize as agentic systems and governance demands accelerate.

A quiet but consequential shift is underway in enterprise technology spending. Recent earnings from SAP, Capgemini, Sopra Steria and OVHcloud show that Europe’s established technology and consulting firms are becoming primary beneficiaries of enterprise AI adoption — not because they built the most advanced models, but because they…

Spain’s new guidance on EU AI Act compliance marks a shift from policy to implementation, requiring enterprises to embed governance directly into AI and digital transformation strategy. CFOs, General Counsel, and M&A leaders should treat this as an immediate operational priority, not a future risk.

Deloitte’s 2026 AI report shows enterprise AI adoption accelerating, but only 25% of companies have scaled pilots into production, with the skills gap as the main barrier. European firms face additional pressure from AI Act compliance and data sovereignty requirements.

Deloitte’s 2026 AI report shows enterprise adoption accelerating sharply, but a parallel readiness gap — flagged by Publicis Sapient — means most firms still can’t capture AI’s full value. For CFOs and boards, the priority now is operating-model transformation and governance, not just tool adoption.

Deloitte’s 2026 enterprise AI research confirms that 66% of organisations report measurable productivity gains, yet only 20% are seeing impact on products and innovation — exposing a critical pilot-to-scale gap. For CFOs and CTOs, the constraint is no longer technology access but governance architecture, skills capacity, and operating-model redesign.

Enterprise AI has crossed from experimentation into scaled production, with Deloitte reporting a 50% rise in worker AI access in 2025 and Databricks documenting an 11x increase in models moved to production year over year. The strategic constraint is no longer willingness to adopt — it is the organizational capacity to modernize systems, workflows, and governance fast enough to capture value.

Deloitte’s 2026 data shows worker access to AI rose 50% last year and production deployment is set to double within six months. For CFOs, CTOs and boards, the question is no longer whether to scale — it is whether your operating model, talent base, and infrastructure can support it.

Deloitte’s 2026 State of AI in the Enterprise report reveals that workforce access to AI grew 50% in 2025, yet only one in five companies has mature governance for autonomous AI agents. For CFOs, General Counsel, and digital strategy leads, the scaling challenge is no longer technological — it is structural.

Deloitte’s 2026 AI report confirms that 71% of enterprises now deploy generative AI, yet only 20% possess the governance frameworks to manage autonomous agents safely. For European decision-makers, closing this gap is both a regulatory obligation and a strategic differentiator.