Gartner Survey Finds AI Will Touch All IT Work by 2030
A Gartner survey reveals that by 2030, AI will be integrated into 100% of IT work, with 75% of tasks performed by humans augmented with AI and 25% fully autonomous, transforming the IT workforce and skill requirements.
A groundbreaking Gartner survey released in 2025 forecasts that artificial intelligence will be involved in every IT-related task by 2030, signaling a complete transformation of the IT workforce and workflows. According to the survey of over 700 Chief Information Officers (CIOs) worldwide, none of the IT workload is expected to be done solely by humans within the next five years. Instead, 75% of IT work will be executed by humans augmented with AI, while the remaining 25% will be conducted entirely by autonomous AI systems.
This paradigm shift underscores the growing importance of both AI readiness—having mature, reliable AI tools—and human readiness, meaning the workforce’s ability to effectively collaborate with AI technologies. Gartner experts warn that while AI tools are evolving rapidly, many organizations and employees are still not fully prepared to harness AI’s value, emphasizing the need for comprehensive training and organizational change.
The survey highlights that AI will automate routine and low-complexity tasks such as summarization, information retrieval, and translation, reducing the need for human involvement in these areas. Concurrently, new job roles will emerge, with Gartner projecting the creation of over 500 million net new human jobs globally by 2036. These roles will focus on managing, guiding, and innovating alongside AI, requiring fundamentally new AI-centric skills that emphasize better thinking, communication, and motivation rather than task execution.
Gartner also warns that skill development demands more than just technical knowledge updates. Organizations must ensure continuous assessment and retention of critical skills to avoid overdependence on AI tools, which may cause deterioration in essential capabilities.
Financially, the survey reveals that 72% of CIOs believe their companies are currently breaking even or losing money on AI investments, often due to hidden costs such as training, change management, and integration complexities. Gartner recommends careful cost-benefit analysis to prioritize AI projects that can reliably deliver value.
On the technical front, mature AI capabilities include search, content generation, and summarization, while key challenges remain in accuracy, reliability, and scalable deployment of autonomous multiagent AI systems. CIOs are advised to select AI vendors strategically based on scale, domain expertise, and sovereignty implications.
In conclusion, Gartner’s findings emphasize that success in the AI-driven IT future depends on balancing technology advancement with comprehensive workforce transformation, ensuring organizations are equally prepared on both fronts to capture AI’s full potential.
