AI is fundamentally shifting the total addressable market for software from being limited to IT spend to the much larger category of labor spend, as software can now perform tasks previously done by humans.
While AI is a powerful tool for product differentiation, it is not a source of long-term defensibility.
Traditional business moats like network effects, workflow integration, and becoming a system of record remain critical.
The ease of building AI-powered software lowers the barrier to entry, creating a hyper-competitive landscape where it's harder for new companies to achieve the scale necessary to build a durable moat.
Incumbent software companies face a dual threat of seat-based pricing models becoming obsolete and increased competition, but also have a significant opportunity to leverage their distribution to become more profitable.
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Concerns Raised
AI itself is not a durable moat, leading to a risk of commoditization for companies relying solely on model superiority.
The low barrier to entry for AI software will create a hyper-competitive landscape, making it difficult for startups to reach the scale needed for a moat.
Incumbent software companies with per-seat pricing models are at risk of revenue decline as AI automates the tasks of their users.
Startups building on major AI platforms face significant platform risk, including the possibility of being competed with or heavily 'taxed' by the platform owner.
Opportunities Identified
The total addressable market for software is expanding from IT spend to the much larger category of labor spend.
AI enables the creation of highly valuable 'features' that can replace expensive labor, leading to rapid revenue growth for new companies.
Incumbents in software and BPO can leverage AI to become vastly more profitable if they adapt successfully.
Previously uninteresting or niche markets are now viable and attractive for software companies due to AI's advanced capabilities.