Meet Tomasz Michalik, Chief Innovation Officer at People More. He has excellent business knowledge combined with knowledge of sales, psychology and communication allowing me to build meaningful relationships with clients and offer effective people-oriented solutions.
Mateusz Cieślak: AI is already reshaping the way companies operate. But is it true that AI in the IT industry will “take away” jobs from IT professionals – or will it actually open up new opportunities?
Tomasz Michalik: It’s much more about creating than replacing. The Future of Work 2025 report clearly shows that AI in IT is changing the nature of work. It automates some tasks, sure, but at the same time it gives rise to entirely new roles. Just look at jobs like AI Governance Specialist or Prompt Engineer – positions that didn’t even exist a few years ago. What we’re seeing isn’t a wave of mass unemployment, but rather a redefinition of existing roles. People need to be ready to learn new technologies and collaborate with AI. They shouldn’t fear it. In fact, the report predicts the highest job growth will be in areas where AI supports humans, not replaces them.
M: So we’re talking more about job transformation than elimination?
T: Exactly. Automation and the role of AI in IT aren’t about ending IT careers, but evolving them. New positions are emerging, and even in traditional IT roles – like software developers or system admins – there’s now a growing expectation to understand AI and know how to work alongside it.
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M: Which tasks in IT are most commonly being automated by AI?
T: According to the data, AI in the IT industry automates repetitive and routine tasks: software testing, IT infrastructure monitoring, customer support via chatbots, basic data analysis, incident management. Tools like AIOps use AI to pinpoint error causes and suggest fixes – something that used to take teams hours. This shift means less manual work and more focus on strategy, oversight, and process optimization in the IT field.
M: Can AI in the IT industry ever fully replace developers and engineers?
T: Not in the foreseeable future. AI is more of a smart assistant right now – it can generate code, suggest fixes, automate test cases. But creativity, business context, and intuition still come from people. Developers who know how to leverage AI tools will have a serious edge, but expert and architectural knowledge remains indispensable.
M: What skills will be most valuable in the era of AI?
T: Hybrid skills will be key – blending tech know-how with soft skills. Some of the most in-demand capabilities include:
- understanding AI algorithms and machine learning,
- data analytics,
- communication and collaboration across disciplines.
One fascinating trend is the rising demand for “AI translators” – people who can explain how algorithms work in plain language to clients, managers, or end-users.
M: How does AI in IT currently support specialists in their everyday work?
T: AI in IT industry is already a major asset in areas like QA (quality assurance), where it can predict bugs before they occur and automate the testing process. In cybersecurity, AI monitors logs and threat signals in real-time to prevent attacks. Infrastructure management is another area – AI monitors and optimizes system performance. It even helps with writing technical documentation or architecture descriptions. That’s real support.
M: Could working with AI actually make jobs more satisfying?
T: Surprisingly, yes. AI takes over the tedious, repetitive stuff. That means IT pros can focus on the fun parts – creative thinking, problem-solving, innovation. In the report, 71% of respondents said AI made them more productive, and 63% felt it let them focus more on strategic work. This “human-AI” partnership model is gaining ground fast.
M: Should everyone learn about AI, even those not directly involved in coding?
T: Absolutely. AI isn’t just for techies anymore – it’s becoming part of our everyday work environment. Even in HR, sales, or marketing, people are using AI tools to analyze data, generate content, or automate tasks. That’s why basic knowledge of AI is valuable across the board.
M: Will AI really revolutionize IT architecture and system design?
T: It’s already happening. AI-supported enterprise architecture (EA) tools can analyze data, suggest optimal solutions, and automate documentation. These tools shorten design cycles and help predict risks. AI in IT architecture doesn’t just assist – it transforms how we design systems, turning it into a process of continuous optimization rather than step-by-step execution.
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M: What are the key AI trends that will shape the IT industry in the coming years?
T: Generative AI is a big one – it’s being used to write code, documentation, reports. Ethical AI is another major trend, especially with regulations like the EU AI Act pushing for transparency, safety, and human oversight in AI systems. AIOps – advanced AI-driven IT operations – is already becoming standard in large organizations. And we can’t forget how AI is changing work models altogether – creating data-driven, automated work environments.
M: Thank you for the conversation.
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Mateusz Cieślak
