Are you prepared for a future where no enterprise IT activity will occur without the direct involvement of artificial intelligence (AI) agents?
AI will transform the core of business technology. Many IT jobs will be impacted.
According to Gartner’s latest worldwide market study, this seismic shift will redefine how tasks are accomplished and radically alter workforce dynamics, skill requirements, and business competitiveness.
The Rise of Ubiquitous AI in IT
Gartner’s 2025 survey of over 700 CIOs highlights a pivotal forecast: by 2030, AI technologies will underpin every IT function.
Currently, about 81 percent of IT work is performed without any AI assistance, but this era is rapidly coming to a close. The transition will see a dramatic reengineering of workflows and job roles as organizations embrace AI-powered solutions.
Gartner predicts that by the end of the decade, zero percent of IT work will be done without AI, as human and machine collaboration becomes the default operating mode for digital business.
Key Statistics and Market Impact
- 25 percent of IT workloads will be fully automated by bots in 2030. These jobs, once the province of entry-level technicians and routine support roles, are now the frontline for autonomous AI agents.
- Gartner and supporting data show a decline of over 40 percent in highly exposed entry-level jobs over recent years, illustrating the disruptive wave moving through the sector.
- 75 percent of IT work will be performed by humans, heavily assisted and amplified by AI. The human workforce is not being replaced wholesale but remade, relying on AI systems to boost productivity, accelerate decision-making, and enable complex problem-solving.
- Gartner maintains that only 1 percent of existing IT job losses are directly attributable to AI technologies today, but warns that the greatest displacement risk lies at the entry-level, where automation is accelerating most rapidly.
- Despite concerns about workforce disruption, Gartner estimates that the overall impact of AI adoption will remain transitory — affecting around 6-7 percent of the U.S. workforce — because new roles emerge in tandem with the diffusion of technology.
- Gartner has named Decision Intelligence (DI) as a transformational technology in its 2025 Hype Cycle report. DI frameworks make decision-making faster, more precise, and repeatable — bridging the gap between insight and action, and enabling scalable, auditable AI-powered decisions for critical business processes.
- Autonomous AI agents are rapidly gaining traction, with market forecasts predicting $52.6 billion in revenue by 2030 and a 45 percent compound annual growth rate. At least 15 percent of work decisions are projected to be made autonomously by such agents by 2028, marking extraordinary progress from 0 percent in 2024.
- Gartner stresses the need to balance technological adoption with “human readiness”— that is, equipping the workforce with new skills, managing change, and safeguarding organizational value. As automation grows, successful CIOs must orchestrate teams and processes to leverage augmented intelligence rather than simply cut costs.
IT Market Growth Opportunities
- Decision Intelligence as Asset: Organizations that capture and systematize decision-making through DI frameworks can build reusable libraries of decision models, improving quality and cost-effectiveness while minimizing risk.
- Industry-Specific AI: By 2028, more than half of enterprise Generative AI models will be tailored for specific industries or business functions, driving customized solutions and unlocking unique value for verticals such as healthcare, retail, and financial services.
- Augmented Analytics and Automation: By 2027, about 75 percent of analytics content will be integrated with GenAI, enabling organizations to contextualize insights and take action faster — a critical capability for navigating volatile markets.
Outlook for AI Apps in IT Organizations
The next five years will be characterized by rapid innovation, workforce adaptation, and a relentless drive toward value creation. The pervasive reach of AI creates enormous productivity and efficiency gains, but it also demands strategic foresight and investment in continuous learning and process redesign.
"While not all AI is ready to deliver value, humans are even less ready to capture value," said Rob O’Donohue, VP analyst at Gartner.
That being said, I believe those leaders who successfully bridge the gap between traditional workflows and AI-powered processes will redefine their markets and capture the growth opportunities emerging from this latest digital transformation of business.