The impact of artificial intelligence on IT jobs 

Artificial intelligence (AI) is now firmly embedded across the IT sector. From software development to cyber security and data analysis, AI is changing how work gets done and the skills professionals need to succeed. 

As adoption continues to grow, demand is increasing for ICT professionals who can work alongside AI tools and apply them effectively. 

There are still mixed views on AI’s long-term impact. Some believe it could replace certain roles, while others see it as a driver of new opportunities. In reality, it is already doing both. 

In this guide, we explore how AI is shaping IT jobs, where opportunities are emerging, and how professionals can stay competitive. 

Benefits of AI in IT jobs 

Increased efficiency and productivity: AI can automate repetitive tasks, allowing workers to concentrate on pressing matters. Illustrating its increased influence, 68% of adopters report productivity gains, and 72% expect AI to increase their ability to grow in the coming year. 

 Cost efficiency: Automation eliminates the need for manual labour in routine tasks, meaning organisations can save money and invest in scalable cloud AI services.  

Reduced human error: AI systems process vast amounts of data and execute tasks more accurately than humans.  

Better decision-making: Through analysing data, businesses are armed with insights to make informed decisions.  

New opportunities for innovation: AI is a foundation for new applications in the IT industry. For example, chatbots and automated code generation. 

Challenges of AI adoption in IT 

Job displacement: Many fear that adopting automation will result in professionals losing their IT jobs. Statistics suggest than one quarter of people believe their role may be replaced by AI in the next five years. 

Skills gap: One of the biggest challenges is the pace of change. Many organisations are struggling to find professionals with the right mix of technical and AI-related skills. 

Ethical and data concerns: The implementation of AI raises questions surrounding bias and data privacy in regulated sectors.  

Cost and implementation: AI adoption requires investment in infrastructure, tools and training, which can be a barrier for some organisations. 

Security risks: AI is also being used to develop more sophisticated cyber threats, increasing the need for advanced cyber security measures. 

AI will continue to reshape the IT industry - AI will moderately or highly transform  92% of IT jobs - but transformation doesn’t necessarily mean replacement. Statistics suggest that jobs directly involving AI activities could rise from 158,000 in 2024 to 3.9 million by 2035.  So, in many cases, AI is creating new roles and expanding existing ones. Demand is growing for professionals who can work with AI, rather than be replaced by it. 

How IT jobs are evolving due to AI  

AI is already reshaping the IT job market, and that pace of change shows no sign of slowing. Many roles have shifted away from manual, repetitive tasks towards more analytical, strategic work. For example, AI-enabled tools can now troubleshoot issues more effectively, allowing professionals to focus on problem-solving, optimisation and decision-making. 

As a result, there’s a growing expectation for IT professionals to adapt. Employers are increasingly looking for individuals who are open to change and willing to develop new skills alongside emerging technologies. 

Additionally, AI presents both opportunity and risk. While it can drive efficiency and innovation, it is also being used in more sophisticated cyber-attacks. Research from Deep Instinct found that 97% of cyber security professionals expect to face cyber incidents, highlighting the scale of the challenge. 

This has led to rapid evolution within cyber security roles, with professionals needing to respond to AI-driven threats. In fact, 88% of cyber security professionals believe AI will significantly impact their role, with over a third already seeing that impact in practice. 

Despite concerns around job displacement, many business leaders remain optimistic. 63% of CEOs believe AI will have a positive impact on job creation, particularly through the emergence of new, specialised roles. 

AI roles emerging across the IT job market 

AI isn’t just changing existing roles – it’s creating entirely new career paths. Demand is growing for professionals who can build, deploy and manage AI systems, as well as ensure they are used responsibly. 

Below are some of the key roles shaping the future of IT. 

AI and machine learning roles

AI Engineer 

AI Engineers design and deploy AI models into real-world applications, bridging the gap between data science and software engineering. 

They typically: 

• Develop and integrate AI models into production systems  
• Work with large datasets and cloud platforms  
• Collaborate with data scientists and developers 

Machine Learning Engineer 

Machine Learning Engineers focus on building systems that learn from data and improve over time. 

Their work includes: 

• Designing and training models  
• Improving accuracy and performance  
• Deploying models into live environments  

MLOps Engineer 

MLOps Engineers ensure AI models run effectively in real-world settings. 

They are responsible for: 

• Automating deployment and monitoring  
• Managing infrastructure  
• Ensuring scalability and performance  

Advanced AI specialisms

Deep Learning Engineer 

Deep Learning Engineers work with neural networks that replicate human decision-making processes. 

Typical responsibilities include: 

• Designing and training deep learning models  
• Managing complex datasets  
• Testing and refining performance  

Natural Language Processing (NLP) Engineer 

NLP Engineers develop systems that enable computers to understand and generate human language. 

Their work includes: 

• Building models for text classification, sentiment analysis and speech recognition  
• Processing large volumes of language data  
• Training and refining language models  

AI Chatbot Developer 

AI Chatbot Developers build conversational systems used across customer service, HR and public services. 

They typically: 

• Develop and maintain chatbot functionality  
• Integrate NLP capabilities  
• Continuously improve user experience  

Strategic and product-focused roles

AI Product Manager 

AI Product Managers connect technical teams with business goals, ensuring AI delivers real value. 

They are responsible for: 

• Defining AI product strategy  
• Working with engineering and data teams  
• Aligning solutions with user and organisational needs  

AI Solutions Architect 

AI Solutions Architects design end-to-end AI systems, often for complex or large-scale projects. 

Their role includes: 

• Designing system architecture  
• Advising on tools and platforms  
• Ensuring scalability and security  

Emerging and supporting roles 

Prompt Engineer 

Prompt Engineers specialise in working with generative AI tools to produce accurate, high-quality outputs. 

They: 

• Design and refine prompts  
• Test and improve AI responses  
• Support teams using generative AI tools  

Data Annotator 

Data Annotators label and categorise data used to train AI models. 

They are responsible for: 

• Labelling image, text and video data  
• Ensuring consistency and quality  
• Supporting model training  

Governance and ethical AI roles

Responsible AI and AI Ethics Specialist 

As AI adoption grows, organisations must ensure it is used fairly and responsibly. 

These professionals: 

• Identify and reduce bias in AI systems 
• Ensure compliance with regulations such as UK GDPR 
• Develop ethical frameworks and governance policies  

This role is particularly important in regulated sectors, including the public sector, healthcare and financial services. 

What this means for IT professionals 

While some traditional tasks are becoming automated, the overall direction of travel is clear: IT roles are becoming more specialised, more strategic, and more closely aligned to business outcomes. 

For professionals, this isn’t about competing with AI but learning how to work alongside it. Those who can combine technical expertise with adaptability, problem-solving and an understanding of how AI applies in real-world settings will be best placed to succeed. 

How to stay competitive in an AI-driven market  

AI is changing expectations across the IT job market. To stay competitive, professionals need to actively develop their skills. 

Build AI awareness (not just expertise) 

You don’t need to be an AI specialist but understanding how AI tools are used in your role is becoming increasingly important. 

Develop complementary skills

AI works best alongside human strengths. Skills like problem-solving, communication and commercial awareness are becoming more valuable. 

Gain practical experience

Employers are placing more value on hands-on experience. This could include: 

• Working with AI tools in your current role  
• Personal or open-source projects  
• Experimenting with automation or machine learning tools 

Invest in learning

Online courses and certifications can help build your knowledge. Examples include: 

• IBM AI Developer  
• AI with Python (HarvardX)  
• Agentic AI courses, such as Microsoft’s Applied Agentic AI: Systems, Design & Impact 

Stay up to date

AI evolves quickly, so it’s important to keep up with developments through: 

• Industry publications (e.g. MIT Technology Review)  
• Podcasts and newsletters  
• Professional networks such as LinkedIn  

You can also follow leading voices in AI, including: 

• Andrew Ng 
• Demis Hassabis  
• Yann LeCun 

Final thoughts: the impact of artificial intelligence on IT jobs  

AI technology has undoubtedly had a transformative impact on the IT industry. While apprehension around AI isn’t unfounded, with job displacement being a significant, legitimate concern, AI is also responsible for creating new  IT jobs.  

For IT professionals to flourish in an AI-dominated sector, they must commit to continuously developing their IT skills and be adaptable. By equipping themselves with AI-related skills, earning certifications and keeping informed with the latest AI news, tech talent can stay competitive. AI will continue to evolve; IT professionals must evolve with it to be future-proof.  

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