Facing AI, French Companies Confront Organizational Hurdles, Survey Shows
A survey by Kéa and OpinionWay of 802 French executives reveals that despite growing awareness of AI's strategic importance, most companies have not structured AI governance, rarely measure benefits, and struggle to move beyond experiments. The gap between recognition and scaling remains wide, with major challenges in talent, data quality, and management.
A survey conducted by Kéa and OpinionWay among 802 French executives, two years after the explosion of generative AI, shows that while 61% of leaders consider AI a major transformation issue (rising to 93% in companies with over 250 employees), only 28% believe it requires a complete organizational overhaul. Large companies are ahead: 66% of their leaders see the need for a global refit, and a majority think AI challenges their business model, whereas French leaders overall still view it mainly as a tool to improve existing processes. Deployments remain experimental: only 16% of organizations have several large-scale use cases or a structured AI project portfolio, while a third are still at the exploration stage. Governance lags: 75% of companies have no Chief Data Officer or AI-dedicated manager, 60% have not assessed dependence on AI technology suppliers or lack protocols for handling erroneous AI-assisted decisions, and 51% have not defined 'red lines' for AI use in certain roles or applications. Performance tracking is weak: less than a third of leaders have evaluated benefits from AI projects, and only 10% have advanced steering tools like dedicated dashboards or integration into financial models. The main barriers are now organizational and human: lack of talent (42%), insufficient data quality (40%), and limited managerial time (38%), with these challenges more acute in large companies (60% cite talent shortage, 54% skill unavailability).
Source: Le Monde Informatique — IA —
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