Is IT Services the First Real Example of AI Disruption?

The most discussed topic in global finance is the potential for AI-driven disruption to workforces and business models. The expectation is that as generative AI tools expand across the economy, workflows will shift across many white-collar industries. Roles dependent on technical skills, such as software engineering or accounting, may increasingly be automated, while high-touch or people-facing roles absorb more human labor. Businesses’ revenue mix could shift accordingly.

To date, an AI-driven overhaul remains largely theoretical. Layoffs are in line with historical averages,^[1] and gen-AI adoption remains slow.^[2] The question many people are asking, then, is where the first signals of white-collar disruption will appear. Where and how will AI begin to change how business gets done?

Many have pointed to software, which saw a Claude-inspired selloff in recent weeks. Others have speculated about back-office and administrative industries. A new report from Jefferies’ India Equity Research team suggests the answer may instead be IT services, where there is growing evidence that AI is already reshaping the historic business mix.

A Structural Shift in IT Services

For decades, IT has operated on a standard model, where teams of engineers and consultants help enterprises maintain their software systems and modernize legacy code. Much of the sector’s revenue comes from these so-called managed services, which typically arrive through long-term contracts.

Jefferies projects that generative AI is already eroding that foundation. Tools capable of automating code updates, troubleshooting infrastructure, and generating documentation are reducing the amount of labor required for managed services. As AI capabilities improve, the traditional outsourcing model—built around large pools of technical talent—could give way to something closer to “technology arbitrage.” Software tools will perform tasks that once required teams of engineers.

That shift will not eliminate the role of IT services firms, but the nature of the work will change. Rather than spending most of their time maintaining systems, service providers may see a larger share of revenue come from advisory work, implementation projects, and specialized AI integration.

How AI Changes the Economics of IT

The result of these changes is a more cyclical business model. IT managed services contracts produce steady, recurring revenue because companies must maintain their systems regardless of economic conditions. Consulting and implementation work, by contrast, tends to rise and fall with corporate technology budgets. As AI pushes the industry toward that mix, the sector could become more sensitive to the broader investment cycle.

This transition will also require significant changes in IT talent and operating models. Firms that once competed on scale may instead need deeper expertise in AI architecture, data infrastructure, and industry-specific applications. In practical terms, that could mean smaller teams with more specialized skills, and a greater emphasis on designing and deploying automated systems rather than maintaining them.

Lessons From the IT Sector’s Transition

As these changes materialize, the IT services industry may offer an early window into how AI affects white-collar work more broadly. Changes in its labor structure and revenue mix point to two ways AI could reshape other knowledge-based professions.

First, the changes to work may arrive not through mass layoffs. Technical work that once required large teams will increasingly be handled by digital tools. But human labor may simply move up the value chain as a result, toward advisory and integration work. The early labor impact of AI may produce a shift in job composition rather than a sudden reduction in employment.

Second, the economics of white-collar industries may change. Recurring responsibilities that once generated stable revenue may become more prone to automation. In their place, firms could rely more heavily on consulting and specialized engagements. Those revenue streams tend to be more project-based and more sensitive to corporate investment cycles.

For now, those changes are only beginning to emerge. But in the months ahead, the IT services sector could be seen as one of the first places where the abstract conversation about AI disruption becomes visible in the real structure of business.

^[1] https://www.cnn.com/2026/03/02/business/ai-tech-jobs-layoffs

2 https://www.cnbc.com/2026/02/26/cnbc-inside-india-newsletter-ai-hit-software-firms-india-it.html

³ https://www.goldmansachs.com/insights/articles/how-will-ai-affect-the-global-workforce