The software industry is experiencing a seismic shift. For years, growth in software was driven by standard automation, slick user interfaces and straightforward workflow management. The rapid integration of AI is rewriting the playbook, and the split between tomorrow's market leaders and legacy tech is happening faster than most anticipate. AI is changing software moats by shifting advantage away from generic automation and toward proprietary operational data, vertical domain knowledge and the ability to turn workflow context into useful decisions. In field service management software, that means tools can become more defensible when they understand dispatching, job costing, inventory and field execution.
Simpro Group Chairman and CEO Fred Voccola recently appeared on Schwab Network's Market on Close to discuss where the software sector is heading, who stands to gain from the AI surge and why a wave of disruption may be ahead for companies that fail to adapt.
Cybersecurity
On the Schwab Network segment, Fred argued that cybersecurity is one area where AI demand is easier to see now because AI can also make threat tactics faster and easier to deploy. That framing makes cybersecurity a useful contrast point: security teams need tools that can detect and respond to changing risks quickly, while some other software categories still need to prove how AI creates durable customer value.
Why proprietary data is the AI moat for vertical software
In the early days of the AI boom, much of the market focus centered on foundational models and algorithms. Today, those underlying models are becoming easier for more companies to access. In Fred's argument, the more durable moat is proprietary data and deep domain expertise. Companies with unique, highly specialized operational datasets have an advantage that general-purpose AI tools cannot easily copy. By applying AI to deep, domain-specific data, software providers can offer predictive insights and workflows that broad automation tools are less likely to replicate.
At Simpro Group, that shift matters because field service work depends on deep operational workflows: dispatching, job costing, inventory and field execution. Simpro Lightning brings AI field service into the FSM platform, helping trade businesses turn operational data into faster decisions and better execution. These workflows can generate proprietary operational data, and combining that data with trade domain expertise can help field service businesses make faster, more informed decisions and improve day-to-day execution.
What are zombie software companies?
Zombie software companies are businesses that risk getting trapped between older automation and AI-native competitors. In this article, the term refers to software providers without a clear AI strategy, a proprietary data advantage, or enough domain depth to make their products hard for general-purpose AI tools to replace.
Fred forecast that the transition could put pressure on software businesses that lack those advantages, including some private equity-backed portfolios. Rather than present that as a settled market outcome, the safer takeaway is this: vendors need a credible data moat and a clear AI strategy before competitors redefine what customers expect.
How software companies can build an AI moat
Organizations that harness their unique data moats today will be better positioned for the next decade of technology change. At Simpro Group, the focus remains clear: applying specialized technology and domain knowledge to help field service businesses work from better operational intelligence. In the AI age, software cannot stop at storing information; it needs to help teams make practical decisions that improve real-world execution.
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