AI is no longer a niche skill in IT, it is becoming the default requirement for getting hired.
📌 Key Takeaways
- Around 78% of IT job ads now explicitly ask for AI skills in G7 countries.
- Seven of the 10 fastest growing IT roles have a direct AI component.
- Experts say that by 2030, AI literacy will be as basic as PC skills today.
- Simple upskilling will not be enough, many workers will need full reskilling into new roles.
- Entry level hiring is shrinking, raising fears of a future skills gap without strong talent pipelines.
AI Skills Move From Bonus To Baseline In IT
A new cross country study of job postings in G7 markets shows how deeply AI has penetrated IT roles. The analysis, led by an industry consortium, finds that AI skills are listed in 78% of advertised IT jobs today.
These findings draw on data from Cornerstone and Indeed between July 2024 and June 2025, across Canada, France, Germany, Italy, Japan, the UK and the US. The pattern is consistent, AI capability is now a core competency rather than an optional extra for IT professionals.
Seven of the 10 fastest growing IT roles in this dataset are directly tied to AI, including software engineering roles with strong ML components, AI or ML developers, cloud engineers and data engineers. The job market is effectively signalling that most digital work will sit alongside AI systems rather than apart from them.
“Looking a bit into the future, say to 2030, AI skills will be just as much a given as PC skills are today.” — Yasmin Weiß, Professor of Work and AI
The Growing Mismatch Between Old Roles And New AI Jobs
The same data also highlights a structural problem. Large global bodies estimate that tens of millions of roles will be automated or reshaped by AI by 2027, while many more will be created in new fields. On paper, the overall numbers can balance out. In practice, the people losing roles often lack the right skills for the jobs that appear.
That is why experts stress reskilling rather than simple upskilling. It is one thing to teach a network engineer prompt engineering basics, it is another to turn a long serving office worker into a cyber forensics specialist in a short time. The article’s interviewees openly question how realistic such fast transitions are without serious support.
“This raises the question of how realistic such retraining programs are, for example whether a former office worker can become a cyber forensic expert in a short time.” — Yasmin Weiß, Professor of Work and AI
Beyond technical knowledge, they argue that workers need meta competencies such as adaptability, learning ability and openness to change. If careers now span several professional identities, those human foundations decide who can move into AI rich roles and who risks being left behind.
Why Human Skills Matter More As AI Spreads
The consortium report does not treat AI as a purely technical upgrade. It notes that communication, teamwork and leadership are gaining weight inside IT job ads, because these human skills anchor responsible AI rollouts.
Companies need people who can link AI tools to real business problems, argue for or against automation in specific workflows, and manage the ethics and risk that come with powerful models. Those tasks rely on judgement and persuasion, not just code.
Classroom practice is shifting too. Lecturers describe using AI powered tools and chatbots to let students study in a more individual way, reflect on their career options and test drive tasks from potential future roles. The same technology that automates some jobs can also broaden access to targeted learning if institutions lean into it.
Will There Be A Lost Generation Of IT Talent?
One of the sharpest questions is about entry level roles. The article notes that postings for junior positions in areas such as law, software and consulting have clearly declined. Separate research backs this up, with many enterprises cutting early career hiring as AI takes over repetitive work.
On the surface, that looks like a recipe for a lost generation, with young people shut out of the traditional first rung on the ladder. Senior leaders in the study push back on the label, arguing that retirements and demographic shifts will open new opportunities within five to seven years, especially in IT.
“In our sector this will create many new opportunities for young talent over the next five to seven years. The people who start with us are well educated and dedicated, so anything but a lost generation.” — Christian Korff, Services Leader, EMEA
Their organisations are investing in junior academies and internal training to build pipelines into AI heavy roles. At the same time, even they accept that entry level work will look different, with fewer routine tasks and more emphasis on complex, knowledge based responsibilities from day one.
Conclusion
Taken together, the numbers and interviews point to a simple reality, the modern IT job market already assumes AI competence as a baseline. Without it, many professionals will struggle to get through the first filter on a vacancy, no matter how strong their legacy skills look.
The challenge for governments, companies and workers is to turn that pressure into a structured reskilling wave, not a slow exclusion. If technical training, human skills and new entry paths develop fast enough, AI can support a sustainable labour market. If they do not, those 78% of AI tagged roles could become a barrier rather than a bridge.
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1st December 2025
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