Akkodis identifies a paradox: while employees are building more confidence with AI tools, business leaders remain cautious about scaling up.
Companies are realizing real productivity gains from artificial intelligence, but are encountering barriers when they want to deploy it on a larger scale. This is according to a new report by technology service provider Akkodis. In a previous report, the company also emphasized the importance of human transformation.
Akkodis gathered insights from more than 2,000 business leaders and 37,500 employees worldwide. The analysis shows that AI has the potential to make daily tasks more efficient. Employees say they save an average of two hours per day thanks to AI, time they use for more creative or strategic assignments.
Employees Optimistic, Leaders Cautious
According to the report, the difference between the enthusiasm of employees and the cautious attitude of managers is growing. 75 percent of employees believe that their leaders have sufficient AI knowledge, while only 62 percent of leaders have confidence in their own AI strategy. That is a decrease of 20 percentage points compared to last year.
The scalability of AI solutions and the lack of skills remain major obstacles. Only 20 percent of organizations use technology to measure or support growth in skills. CTOs call this skills gap the biggest brake on further AI transformation.
Scalable Systems with Human Oversight
Akkodis states that AI transformation must go beyond technology alone. According to the report, it is about trust, structures and collaboration. Business leaders must actively involve people in every phase of AI integration. Human oversight should not become redundant during implementation.
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AI Strategies Stall Due to Lack of Human Transformation
In addition, the report points to the need for resilient personnel strategies. More than half of CTOs expect a reduction in the workforce due to AI, but 59 percent are simultaneously planning internal reorientations. According to Akkodis, this indicates a focus on retraining and sustainable adaptation, rather than reduction.