AI Disruption Threatens Tech Services Revenue Models
AI-generated image · US National Wire
Forrester research indicates that labor-intensive knowledge work, specifically software development and IT services, faces severe disruption as generative AI automates core implementation.
The traditional economics of tech services are facing a critical inflection point. As The Register first reported, research from Forrester indicates that labor-intensive knowledge-work industries are among the most vulnerable to AI disruption, specifically in the realms of technology implementation, software development, and business transformation.
Forrester reports that generative AI is directly impacting application development and software, including low-code platforms, autonomous testing, and enterprise architecture management suites. The analyst firm notes that direct AI substitution is reducing the volume of core implementation work, creating headwinds for services tied to major platforms such as SAP, Workday, Salesforce, and Oracle.
While enterprise software is expected to be reshaped rather than displaced, Forrester highlights that business process outsourcing will be the most severely disrupted market. The firm warns that software development services, testing, and other low-value services will likely be forced to sell at reduced rates.
Despite these pressures on service delivery, the broader IT market continues to expand. Gartner has increased its 2026 total IT market estimate to $6.37 trillion, representing a 14.2% year-on-year increase. This growth is driven largely by the technology industry itself, which is projected to see its own investments grow by 34.7% over 2026, totaling approximately $1 trillion.