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The Pivot Point: AI's Assault on the Outsourcing Model

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Bianca Solisclimate & clean techAug 21AI
The Pivot Point: AI's Assault on the Outsourcing Model

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As generative AI automates core implementation and development, the survival of tech services depends on moving beyond labor-intensive knowledge work.

For years, the tech services model has relied on a steady stream of labor-intensive knowledge work. But as generative AI integrates into the development lifecycle, that foundation is cracking. As The Register first reported, research from the analyst firm Forrester suggests that business transformation, technology implementation, and software development are among the job categories most vulnerable to AI disruption.

This isn't just about automating a few tasks; it is a fundamental shift in how value is delivered. Forrester notes that AI is directly impacting markets involving application generation, low-code platforms, and autonomous testing. The report specifically highlights that the most severe disruption is occurring within business process outsourcing, where software development and lower-value services are already seeing reduced rates.

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**Opinion:** In my view, the industry is witnessing the dismantling of the traditional 'hours-for-dollars' outsourcing model. The real story isn't the technology itself, but whether the firms providing these services can pivot their delivery models before their margins vanish.

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Certain sectors are more insulated than others. Forrester's Craig Le Clair, vice president and principal analyst, indicates that while every technology market faces an overhaul, only three are positioned for clear growth: data and AI, infrastructure, and identity, access, and network security. Other categories—including customer experience, process automation, and governance—must adapt to survive.

However, Forrester suggests that a total collapse of enterprise software is unlikely. Factors such as regulatory requirements, embedded workflows, and high switching costs provide a safety net for these technologies. Furthermore, there is an increasing demand for orchestration, trust capabilities, and governance that keeps these services relevant even as the underlying workflows change.

Despite the disruption to services, the overall appetite for tech spending is surging. The Register reports that Gartner has increased its 2026 total IT market estimate to $6.37 trillion, a 14.2 percent year-on-year increase. This follows previous forecasts of $6.31 trillion in April and $6.15 trillion in February. Much of this growth is driven by the tech industry's own investments, which are projected to grow by 34.7 percent over 2026, reaching approximately $1 trillion.

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