Roland Berger: AI Transformation Stalls on Leadership, Not Technology

What Happened

A new study published by management consultancy Roland Berger finds that artificial intelligence transformation efforts are failing primarily due to organisational gaps, insufficient AI skills, and weak leadership, rather than limitations in the underlying technology. The report, released in early July 2026, found that while 62 percent of companies surveyed anticipate profound AI-driven changes to their operating models, only 38 percent have the organisational readiness to act on those ambitions.

Key Findings

The Roland Berger report identifies a significant gap between corporate expectations and on-the-ground capability. The data shows that the majority of companies across sectors acknowledge AI will fundamentally reshape how they operate, yet fewer than four in ten have aligned their workforce skills, leadership structures, or internal processes to support that shift.

According to the report, the core barriers are threefold: a shortage of employees with applied AI skills, leadership teams that lack the experience to manage AI-driven change programmes, and organisational structures that were not designed to absorb or scale AI integration. The study does not cite inadequate AI software or hardware as primary obstacles.

Background

Roland Berger is a Munich-based global management consultancy with operations across more than 50 countries. The firm regularly publishes research on technology adoption, operational strategy, and digital transformation across industries.

The findings align with a broader pattern visible across corporate reporting cycles. Many large enterprises have announced AI strategies and begun pilot programmes over the past two to three years, but conversion from pilot to full operational deployment has remained slow across sectors including financial services, manufacturing, logistics, and healthcare.

Separate industry surveys published in the first half of 2026 have pointed to similar dynamics. A report earlier this year on the pharmaceutical sector found that only 11 percent of firms had fully deployed AI tools at scale, despite widespread investment in the technology.

What the Numbers Say

The 24-percentage-point gap between the 62 percent of companies expecting transformation and the 38 percent prepared to deliver it represents what Roland Berger characterises as a structural readiness deficit. The report does not specify the total number of companies surveyed, the industries represented, or the geographic scope of the sample, based on available wire report details.

The consultancy frames the problem as one of execution rather than vision. Companies have, in the aggregate, accepted the premise that AI will change their business. The deficit lies in the human and structural infrastructure needed to translate that acceptance into operational reality.

What It Means in Practice

According to the report's framing, organisations that move to address leadership capability and skills pipelines ahead of further technology investment are positioned to close the gap. The report does not quantify the cost of the readiness deficit or assign a timeline for remediation.

The findings carry implications for enterprise technology vendors, corporate training providers, and executive search firms, all of whom operate in markets shaped by how quickly large companies move from AI strategy to AI deployment. Demand for AI literacy programmes and change management expertise has grown across the consulting and corporate education sectors in parallel with wider AI investment.

The report also raises questions about the return on the significant capital already committed to AI tooling and infrastructure across global enterprises. Companies that have purchased AI platforms but lack the internal capability to deploy them at scale may not see expected returns on that spending within originally projected timeframes.

What Comes Next

Roland Berger has indicated the full report is available through its publications platform, and the consultancy is expected to present detailed findings at upcoming industry conferences scheduled for the second half of 2026.