In many industries, professionals are concerned about the impact of AI on job security. Among high-tech professionals, that concern appears to be largely absent, according to research by tech consultancy TMC. 82% of high-tech professionals are convinced that their expertise will still be relevant in 2030. Among R&D and Engineering professionals, that figure is even higher at 83%. In addition, 79% report a positive impact of AI on their work, while only 20% see AI as a threat.
At the same time, a large proportion want to learn how AI can be used more effectively. “As AI becomes increasingly powerful and more expensive, the focus is shifting from experimenting with what is possible to asking where technology actually adds value. This requires not only AI knowledge, but also human expertise, critical thinking and strategic choices about where and how work is organized,” says Yves de Beauregard.
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Professionals clearly want to make AI part of their work. When asked which skills they want to develop to remain as relevant as possible in the future, 40% of the 345 respondents mentioned AI-related skills. AI agents were mentioned most frequently, followed by prompt engineering and general AI skills.
In addition to AI skills, soft skills also emerged as important skills for the future. Critical thinking was mentioned most frequently, alongside coaching and communication.
These are skills that are not so much opposed to AI, but rather determine how the technology is used. Professionals need to know not only what an AI tool can do, but also be able to assess whether an output is accurate, whether an application adds value and when it is wiser not to use AI at all.
This suggests that the attitude toward AI is primarily pragmatic: professionals do not want to prevent AI from changing their work, but rather learn how to use the technology as effectively as possible.
According to Yves, this development is also visible among companies. “Over the past few years, AI has quickly moved from experimentation to everyday application. There is growing awareness that using more AI does not automatically create more value. AI applications require computing power, data center capacity and energy. In addition, access to certain models and applications is increasingly paid, while subscription costs are rising. Scarcity of computing power and capacity therefore makes it increasingly relevant to take a critical look at where AI is actually being used.”
Within TMC, this development is being monitored, among other things, through the international AI Hub, which has now been in existence for a year. The AI Hub brings together experts from different countries and disciplines and supports AI training, consultancy and the development of new applications.
The AI Hub is also investigating how AI can be used more efficiently and with a lower sustainability impact. AI consumes significant amounts of energy and water and generates substantial CO2 emissions. The team is therefore looking at alternative technologies and applications, and is exploring more energy-efficient ways of using AI.
This aligns with the importance high-tech professionals place on sustainability. The research shows that 76% of the professionals surveyed consider it important that their work contributes to a more sustainable world. Yet only 40% of R&D and Engineering professionals say that sustainability regulations influence the decisions they make on a daily basis. In Operations & Service, that figure is somewhat higher at 68%.
That is why TMC advocates for sustainable, high-quality use of AI. “The figures show that sustainability is broadly supported, but translating this into concrete choices on the work floor is not yet a given. The search for more sustainable ways to use AI, therefore only when an AI application genuinely adds value, for example by saving time or increasing safety, is urgently needed,” says Yves.
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