Over the past two decades, enterprise software spending has steadily increased. Digital transformation remained a strategic priority, cloud migration accelerated, and technology services firms expanded delivery teams to compete. Larger organizations were often seen as better equipped to manage complex transformation initiatives.
This dynamic has changed. Enterprises continue to accelerate investment in transformation, modernization, and digital capabilities, but now expect these efforts to be delivered with smaller budgets, leaner teams, and shorter timelines. "Do more with less" is now a common theme in procurement and executive discussions, signaling a structural shift in technology service purchasing rather than a temporary cost-cutting measure.
Several factors are driving this shift. Enterprise IT budgets have been constrained since the 2023 interest rate cycle. At the same time, generative AI has raised expectations for software delivery. Rapid AI-assisted prototyping has led buyers to expect faster development and lower costs, although production-grade engineering demands significant expertise.
As a result, technology services firms face increasing pressure to deliver the same scope of work with fewer resources, shorter timelines, and lower budgets, as we have discussed these tradeoffs previously (https://elaxtra.com/insights/unlocking-business-impact-with-ai). Buyers are placing greater emphasis on outcomes than on the underlying delivery model, creating sustained pressure on traditional services economics.
Current market conditions distinguish adaptable firms from those that are not. Reducing headcount alone is unlikely to sustain profitability or delivery performance. Instead, firms are redesigning delivery models by incorporating automation, AI, and standardized processes to reduce reliance on human labor while maintaining execution quality.
These trends reinforce the growing importance of AI-assisted software development and scalable delivery models. As discussed in our analyses, pricing services from time to outcomes (https://elaxtra.com/insights/pricing-services-from-time-to-outcomes) and the coming growth of custom software (https://elaxtra.com/insights/the-coming-growth-of-custom-software), AI coding tools, agentic workflows, and reusable implementation assets are enabling technology services firms to deliver projects more efficiently while maintaining quality and predictable delivery. Although clients ultimately evaluate outcomes rather than development methods, these capabilities increasingly shape the economics and scalability of modern technology services organizations.
A key outcome is the widening gap in margin performance among technology services firms. Those that have adopted AI-enabled teams are improving margins by reducing delivery costs quicker than any pricing deteioration. In contrast, firms using traditional operating models continue to face challenges with utilization and profitability.
Lower development costs are also expanding demand. As organizations expect software to be delivered faster and more efficiently, these organizations pursue more initiatives. Firms that have optimized their delivery economics are therefore positioned to capture a growing volume of projects rather than compete within a shrinking market.
Firms that use this transition to redesign their delivery models, rather than only reduce costs, are more likely to gain a long-term advantage. Enterprise buyers now expect smaller, AI-enabled teams to handle work that once required larger organizations. As these expectations shape enterprise planning, technology services firms that adapt their operating models will be better positioned for sustainable growth.
Elaxtra Advisors is an M&A and value-creation advisory firm that assists institutional investors, private equity-owned platforms, and strategic acquirers invest and create value in worldwide technology services companies. Please contact us to explore potential partnerships.