AI is already automating repetitive tasks, speeding up support, and helping people write code, analyze data, and troubleshoot faster. That does not mean IT careers are disappearing. It means the people who understand the fundamentals, think critically, and know how to use AI well will become even more valuable. The U.S. Bureau of Labor Statistics still projects computer and information technology occupations to grow faster than average from 2025 to 2035, with about 280,000 openings each year on average (BLS).
The key point is this: AI is changing the work, not erasing the need for skilled people.
What AI Is Really Changing in IT
The biggest shift is not that AI is “taking over IT.” It is that AI is taking over pieces of the repetitive and predictable parts of IT work.
In support roles, AI can help route tickets and suggest first-step fixes. In development, it can generate starter code, explain errors, and speed up testing. In operations and security, it can summarize logs and recognize patterns.
The more useful AI becomes, the more employers expect workers to do higher-value work: solve problems faster, communicate clearly, and validate what the tools produce. The U.S. Bureau of Labor Statistics says the increasing use of information technology, including artificial intelligence, will boost demand for workers in some occupations over the next decade.
How AI Is Changing IT Roles
AI is changing the responsibilities within many IT careers, particularly by automating repetitive tasks and helping professionals work more efficiently. Rather than affecting every role in the same way, AI is changing how different areas of IT operate.
- IT Support: AI can route tickets, handle routine requests, and suggest solutions to common problems. This allows professionals to spend less time on repetitive tasks and more time on complex troubleshooting, user needs, and issues that require human judgement.
- Cloud and infrastructure: AI can monitor systems, identify patterns, automate routine processes, and optimize resources. IT professionals still need to understand these environments, evaluate AI-generated recommendations, and respond when something goes wrong.
- Software development: AI can generate code, explain errors, assist with testing, and speed up development. Developers still need to understand architecture, security, performance, and business requirements so they can evaluate and improve what AI produces.
- Cybersecurity: AI can analyze large amounts of data, identify unusual activity, and prioritize potential threats. Security professionals still need to investigate those findings, assess risk, and determine the appropriate response.
Across these areas, the pattern is similar: AI can handle more of the predictable work, while IT professionals remain responsible for applying context, judgment, and technical knowledge. Understanding the fundamentals becomes even more important when professionals are expected to evaluate AI-generated recommendations rather than simply follow them.
Which IT Skills Matter Most in 2026?
According to the World Economic Forum’s Future of Jobs Report 2025, analytical thinking remains the top core skill employers want, while AI and big data, networks and cybersecurity, and technological literacy are among the fastest-growing skill areas.
Technical fundamentals still matter
The tools will change, but the fundamentals remain durable:
- Networking
- Operating systems
- Cloud basics
- Identity and access management
- Scripting
- Troubleshooting
- Data literacy
Human skills matter even more
AI cannot replace:
- Critical thinking
- Communication
- Stakeholder management
- Adaptability
- Problem framing
- Calm decision-making
Those are not “soft” skills in a weak sense. In IT, they are career-building skills. They help you work across teams, explain technical issues in plain language, and make decisions when the answer is not obvious.
Unlike most coding bootcamps, Centriq's programs focus on both the hard IT skills and also these career-building necessities.
AI literacy is now part of the job
You do not need to become an AI researcher to stay relevant. But you do need to understand how AI tools work, where they fail, and how to use them responsibly. IBM describes AI literacy as a foundational competency across functions and levels, not just for engineers. That is a strong sign that AI knowledge is becoming a baseline workplace expectation.
How to Build an Adaptable IT Career
There is no way to predict exactly how AI will change every IT role. But you can build skills that make it easier to adapt as technology and job responsibilities evolve.
Learn the fundamentals first
AI is most useful when you understand the technology behind the task. A strong foundation in networking, operating systems, security, cloud computing, and troubleshooting helps you recognize when an AI-generated answer is incorrect or when a recommendation could create a larger problem.
Use AI to accelerate, not replace, your thinking
Treat AI as a tool that can help you research, draft, summarize, troubleshoot, and brainstorm. But don't rely on it blindly. Verify its output, consider the context, and use your own technical knowledge to determine whether the recommendation makes sense.
Build hands-on experience
Practical experience helps you develop the problem-solving skills that AI cannot simply provide for you. Set up labs, work through troubleshooting scenarios, document fixes, and practice explaining what you did and why. Hands-on experience can also help you understand how technical concepts apply in real-world environments.
Develop a specialization
IT is a broad field, and developing expertise in a specific area can help you build a career path. Cybersecurity, cloud, infrastructure, support, data, and software development are all areas where AI is changing how work gets done. Building deeper knowledge in one or more of these areas can help you adapt as the technology evolves.
Keep learning
AI is not a one-time change. New tools, technologies, and expectations will continue to shape IT careers. Continuing to build your technical skills, learn new tools, and stay informed about changes in your field can help you remain adaptable throughout your career.
FAQ
Will AI replace entry-level IT roles?
AI is likely to automate some entry-level tasks, such as password rests, basic troubleshooting, and ticket routing. However, entry-level professionals still need to handle issues that require communication, investigation, judgment, and problem-solving. As automation takes over more routine tasks, entry-level IT roles may place greater emphasis on troubleshooting and more complex support responsibilities.
Is IT still a good career path because of AI?
Yes. AI is changing how IT professionals work, but organizations will need people who can manage systems, support users, secure environments, troubleshoot problems, and make decisions. The specific responsibilities of IT professionals will continue to evolve, making adaptability and ongoing learning increasingly important.
Which IT roles are changing because of AI?
IT support professionals may use AI to automate routine requests and troubleshoot problems. Developers can use AI to generate and test code. Cloud and infrastructure professionals can use it for monitoring and automation, while cybersecurity professionals can use AI to analyze data and identify potential threats. In each area, professionals still need technical knowledge and judgment to evaluate AI-generated recommendations and respond to situations that require human decision-making.
Do I need AI skills to start a career in IT?
You do not need to be an AI expert to start in IT. A strong foundation in areas such as networking, operating systems, troubleshooting, security, and cloud computing remains important. As you build your career, learning how to use AI tools effectively can help you work more efficiently and adapt as technology changes.
Start Your Career with Confidence
AI is changing the workplace, but skilled IT professionals are still needed to support users, secure systems, manage infrastructure, and solve real business problems. If you are exploring a future in IT, the right training can help you build practical, job-ready skills that stay relevant as technology evolves.
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