Bottom line: As AI technology matures, enterprise-wide scaling is increasingly hindered by organizational gaps, insufficient management expertise, and low employee adoption—not technical limitations.
Confidence among chief technology officers in successfully scaling AI across their enterprises has declined significantly between 2024 and 2026. A study by Akkodis shows that organizational and cultural hurdles, rather than inadequate technology, are impeding AI adoption.
A survey by Akkodis of 500 chief technology officers documents this loss of confidence concretely: in 2024, 82 percent of CTOs were confident about AI scaling; by 2026, that figure has dropped to just 48 percent. The decline reveals that the path from pilot projects to enterprise-wide implementation is more difficult than initially anticipated.
The problems lie largely not in the technology itself, but in its integration into existing corporate structures. For CTOs, this means: as AI becomes more widespread, demands on processes, responsibilities, and decision-making pathways increase. Only 44 percent believe that AI knowledge in management is adequate; only 46 percent report established guidelines for responsible AI use. Employee acceptance is particularly low: merely 36 percent of CTOs are satisfied with how their workforce is adopting AI.
The greatest barriers are missing technical skills, unclear economic benefits, and lack of organizational support. This makes AI scaling primarily an organizational and cultural challenge rather than a technology challenge.
Agentic AI—systems that independently plan tasks, make decisions, and execute processes—is moving to center stage: four out of ten CTOs view it as one of the most important factors for future success. 57 percent of respondents already use AI to distribute tasks between humans and machines. However, this reveals a shift: the AI role is moving from tool to active component of business processes—requiring clear assignment of responsibilities that many organizations still lack.
In parallel, a shift in perspective on transformation goals is evident: for the first time, innovation rather than efficiency gains is the primary focus. With more mature AI systems, additional productivity gains diminish; new business models and competitive advantages are coming into sharper focus. AI has not yet led to mass layoffs—only 21 percent of CTOs report workforce reductions—but rather transforms workflows and requirements: 50 percent observe new skill profiles, and roughly the same proportion see changes in daily work.
Source: www.it-daily.net · Published July 14, 2026
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