With the rise of modern artificial intelligence (AI) systems (incl. large language models, generative coding tools, and automation), the world of IT professionals is undergoing a significant transformation.
What seemed like the distant future a few years ago is rapidly becoming reality.
Almost Every IT Job Will Be Affected
According to various research studies, approximately 92% of IT jobs are expected to undergo either a significant or moderate change in the coming years. This shift particularly affects beginner and mid-level specialists: around 37% of entry-level roles and 40% of mid-level roles are likely to be significantly transformed.
What’s Becoming Less Relevant?
- Basic programming and repetitive coding tasks. AI systems can now perform many routine and structured tasks.
- Data maintenance, documentation, content-level operations, information lookup, and basic SQL administration are also becoming less critical.
- Jobs involving predictable, highly structured workflows are the first to be automated.
What’s Becoming More In-Demand?
- AI literacy, prompt engineering, and the ability to work with large language models. These are becoming standard across many IT roles.
- Data analysis, critical thinking, and decision-making. People who can understand and interpret outcomes, as well as make strategic choices, are highly valuable.
- Soft skills: creativity, communication, teamwork, adaptability, and ethical reasoning — all of which AI cannot replicate effectively (yet).
The Latest Studies (as of 2025) Paint a Clear Picture of How IT Work Is Evolving:
97% of IT employees already use generative AI tools in their daily work (coding, assistance, documentation, research, etc.). However, there is also a growing concern: as AI adoption increases, more professionals are becoming uncertain about the security of their jobs.
What Should You Do To Stay Relevant?
- Don’t expect stability. If your job revolves around routine coding, maintenance, basic development, or data processing, your role is highly likely to change.
- Invest in skills that are hard to automate (analytical, AI-tooling, creative problem-solving, communication, etc.).
- Be prepared for continuous learning. Growth areas include AI/ML engineering, data analytics, system architecture, cybersecurity, project management, and systems integration.
AI presents both a challenge and an opportunity to rethink your goals, acquire new skills, and become more valuable.