Artificial intelligence has sparked widespread debate about the future of software engineering and system integration. Much of that discussion centres on disruption, with coding agents and autonomous software development often portrayed as existential threats to traditional engineering businesses.
However, that narrative misses the bigger picture.
AI is not reducing the value of system integration (SI) and software product engineering companies. It is redefining where value is created and, increasingly, what strategic buyers are willing to pay for. From an M&A perspective, the conversation is shifting from technology adoption to competitive differentiation and valuation.
AI Is Reshaping the Services Model
AI coding assistants, autonomous testing platforms and intelligent automation are significantly improving developer productivity, reducing the effort required for many routine engineering tasks. As a result, clients are beginning to question traditional time-and-material (T&M) pricing models and labour-intensive delivery structures.
This creates growing pressure for businesses that compete primarily on engineering capacity and labour arbitrage. The differentiator is no longer the size of the delivery team, but the value that team creates.
Across the sector, two distinct strategies are emerging.
Some firms are using AI to improve internal productivity by reducing costs, streamlining delivery and protecting margins. Others are fundamentally redesigning their business model, investing in proprietary AI accelerators, AI-native platforms, reusable IP and outcome-based commercial models.
Across the industry, this shift is increasingly framed as a move toward AI-native operating models, where competitive advantage comes less from headcount and more from proprietary automation, differentiated go-to-market execution and durable, defensible AI-enabled IP.
M&A Is Rewarding AI-Native Businesses
The transaction market is already reflecting this shift.
Across multiple transactions advised by TH Global Capital, buyers have consistently prioritised differentiated AI capabilities over engineering scale alone.
Recent examples include:
- Quantiphi’s acquisition of Candyspace, combining AI expertise with digital product innovation and customer experience capabilities.
- TestDevLab’s sale to Xoriant, reflecting growing demand for AI-enabled quality engineering.
- Ignitarium’s acquisition by Neurealm, demonstrating the strategic value of AI across embedded software and edge computing.
- Waylay’s sale to Vertiv, highlighting increasing demand for hyperautomation platforms.
Collectively, these transactions demonstrate that strategic buyers are paying premiums for businesses with AI-enabled platforms, proprietary IP and differentiated capabilities rather than traditional delivery capacity alone.
Valuation Is Becoming a Story of Differentiation
Revenue growth, EBITDA margins and delivery capability remain important. However, buyers are increasingly evaluating businesses through a different lens.
Questions such as the following are becoming central to investment decisions:
- Does the business own proprietary AI-enabled intellectual property?
- Can it automate delivery in ways competitors cannot?
- Has it moved beyond selling engineering effort to delivering measurable business outcomes?
- Will its competitive advantage strengthen as AI adoption accelerates?
Businesses that can answer these questions convincingly are increasingly commanding stronger strategic interest and higher valuations.
The Competitive Gap Will Continue to Widen
Every major technology transition reshapes competitive advantage. AI is no exception.
The winners will not necessarily be those with the largest engineering teams, but those creating the greatest value with them. Businesses that combine AI, proprietary IP and deep sector expertise are likely to strengthen their market position and command higher strategic valuations. Those that continue to compete primarily on labour-intensive delivery models risk becoming increasingly difficult to differentiate.
For founders and investors, the challenge is no longer simply adopting AI. It is positioning the business so that AI becomes a sustainable competitive advantage rather than a short-term productivity tool.
At TH Global Capital, we are increasingly working with founders, management teams and private equity-backed businesses well before a transaction is on the horizon. Whether they are embedding AI into their service offerings, strengthening their competitive positioning, evaluating strategic growth opportunities or preparing for an eventual capital raise or M&A process, the objective remains the same: building businesses that are more differentiated, more resilient and ultimately more valuable.
The companies that create the greatest long-term value will not be those that simply adopt AI, but those that embed it deeply enough to redefine how they compete, grow and ultimately how they are valued.