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World of Software > Mobile > The CTO are indifferent to the value of AI
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The CTO are indifferent to the value of AI

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Last updated: 2025/07/19 at 12:56 PM
News Room Published 19 July 2025
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The value of AI remains in full debate. Although investment in business artificial intelligence continues to accelerate, the confidence of executives in the strategies that guide this transformation It is falling According to a new Akkodis report.

The investigation analyzed the opinions of 500 global technology directors among a broader group of 2000 executives, finding that the general confidence in the strategy of AI of the senior executives fell from 69 percent in 2024 to only 58 percent in 2025. The most pronounced falls were reported by the CTO and the CEOwith a loss of confidence of 20 and 33 percentage points respectively.

Technology directors also pointed out a Leadership gap in the understanding of AI: Only 55% believe that their executive teams have the necessary fluidity to fully understand the risks and opportunities associated with the adoption of AI. Among employees, this figure is reduced to 46 %, indicating a greater confidence gap in AI that could hinder its successful implementation and long -term success.

The value of AI, questioned

Artificial intelligence occupies everything and all. There is no technological field that escapes this “revolution” and Investments in their development are being fabulousthe biggest in history. In the United States alone, Openai will invest 500,000 million dollars for AI infrastructure in The Stargate Project. Amazon (75,000 million dollars), Google (50 billion dollars) or Microsoft (80,000 million dollars) are other giants that have compromised fabulous investments.

But everything that shines is not gold And there are few voices that advise putting their feet on the floor and controlling a runaway situation. And for several reasons, beginning with those of security and following the privacy of data, not to mention the ethical and work sections with the future of jobs. In addition, a good part of companies and users do not see all those benefits of the AI that marketing departments promise and great analysts speak of ‘hype’ to qualify a phenomenon that still has a long way to go to improve the perception of real utility.

Infrastructure and training

The Akkodis report indicates some of these problems highlighting that human skills They are key to the success of AI. While technical skills are vital (51 %of technology directors quote the specialized skills in IT as the main deficiency), other skills are also important, such as creativity (44 %), leadership (39 %) and critical thinking (36 %). These skills are increasingly useful to interpret the results of AI, boost innovation and adapt the systems of AI to various business contexts.

Despite the growing investment in training and development of employees, Many organizations still lack the necessary infrastructure to guarantee specific and effective training. Only 20% of technology directors claim to use data tools to evaluate the current competencies of the workforce or supervise learning progress.

While many companies continue to focus on external hiring to address capacity deficiencies, the report warns that this approach It could be insufficient to climb the AI. This is because those who hire externally lack of organizational knowledge and interdisciplinary relationships necessary to implement the large -scale AI.

The authors of the report indicate the problem of some results that are not positive to expand the value of AI: «As organizations go from experimentation with AI to a deep integration of it, the CTOs are considered increasingly key leaders in business transformation. Their responsibilities now go beyond infrastructure and operations, including the multifunctional AI strategy, executive training and the design of systems that support technical and human capacity ».

By aligning the skill strategy with business architecture and promoting greater fluidity in the leadership teams, CTO can help close the gap between the enormous ambitions of some companies and the real execution of AI, creating organizations that are not only prepared for AI, but also trust it. And there is a long way to go.

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