The new moats in the AI economy: Why embedded finance will decide which SaaS companies survive - Silicon Canals
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The new moats in the AI economy: Why embedded finance will decide which SaaS companies survive - Silicon Canals
"AI isn't just accelerating software development. It's quietly erasing the value of software differentiation. When a small team can ship enterprise-grade functionality with AI assistance, the question for SaaS leaders and investors becomes brutally simple: the old SaaS playbook was simple: ship faster, build better UX, scale distribution, and protect margins with engineering advantage. That advantage is evaporating."
"AI can generate code in minutes. But it cannot generate regulatory credibility. In regulated industries, the answer is obvious: trust. Not 'brand trust' as a marketing slogan. Real trust: compliance frameworks, licensing regimes, bank-grade controls, and the ability to move money safely across jurisdictions."
"Regulation has not been rewritten for the AI era. It is still built for a slower economy, designed around human decision-making, long product cycles, and traditional financial institutions. That mismatch creates a new scarcity asset. SaaS is quietly becoming the distribution layer of finance."
Artificial intelligence is fundamentally transforming the software industry by making high-quality software easier to build, replicate, and commoditize. The traditional SaaS competitive advantage—shipping faster, building better UX, and scaling distribution—is eroding as AI enables small teams to create enterprise-grade functionality quickly. In this new landscape, regulatory credibility and compliance frameworks become the real scarcity assets. Regulated industries require trust, licensing, and bank-grade controls that AI cannot generate. SaaS companies are evolving into distribution layers for financial services, not because they want to become banks, but because finance requires the permission structures and regulatory infrastructure that SaaS platforms increasingly provide.
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