AI in IT: Jobs to Remain by 2030 – Gartner
- What: Gartner predicts Artificial intelligence (AI) will be essential to all IT department work.
- Where: Prediction made at Gartner's IT Symposium in Gold Coast, Australia.
- Why it Matters: This signals a basic shift in the IT landscape, requiring professionals to adapt to AI-driven workflows and automation.
Gartner Predicts AI Will Be Integral to All IT Work by 2030
Table of Contents
Published September 8, 2025, at 20:05:48 PDT. Updated as needed to remain evergreen.
The Impending AI Transformation of IT
Gartner analysts Alicia Mullery and daryl Plummer stated on September 8, 2025, that in five years, it will be nearly unfeasible to conceive of Information Technology without Artificial Intelligence.This prediction was delivered during their keynote address at Gartner’s IT Symposium in Gold Coast, Australia, and reported by The Register.
Gartner forecasts that by 2030, 100% of work performed by IT departments will involve the use of AI. This represents a notable increase from the current 81% of IT work that, according to Mullery, is completed without any AI assistance.
Automation and the Future of IT Roles
The shift isn’t just about *using* AI; Gartner anticipates a significant increase in automation. By 2030, the analysts predict that 25% of all IT work will be fully automated and performed by bots, leaving 75% of workloads to be handled by human IT professionals.
This doesn’t necessarily imply widespread job losses, but rather a fundamental change in the nature of IT roles.The focus will likely shift towards tasks requiring uniquely human skills such as strategic thinking, complex problem-solving, and creative innovation – areas where AI currently falls short.
Implications for IT Professionals
The Gartner prediction underscores the urgent need for IT professionals to upskill and reskill in areas related to AI. This includes:
- AI and Machine Learning Fundamentals: Understanding the core concepts and algorithms.
- AI Integration: Learning how to integrate AI tools and services into existing IT infrastructure.
- Data Science: Developing skills in data analysis, modeling, and visualization.
- Automation Technologies: mastering Robotic Process Automation (RPA) and other automation tools.
Organizations should also invest in training programs and create a culture of continuous learning to ensure their IT teams are prepared for the AI-driven future.
Gartner’s Broader View on AI Adoption
Gartner’s prediction aligns with a broader trend of increasing AI adoption across various industries.The firm has consistently highlighted AI as a top strategic technology trend. Their research indicates that AI is no longer a futuristic concept but a practical tool that is already delivering tangible business value.
Timeline of AI in IT - A Projected Outlook
| Year | AI Integration in IT |
|---|---|
|
Related reading |