VCs are shifting investment away from traditional SaaS because AI-powered 'cloud code' can easily replicate software features, eroding moats. Capital is now flowing to less replicable, technology-risk businesses like robotics, AI-driven hedge funds, and biotech. This marks a strategic return to underwriting deep technical innovation over predictable financial metrics.

As AI and better tools commoditize software creation, traditional technology moats are shrinking. The new defensible advantages are forms of liquidity: aggregated data, marketplace activity, or social interactions. These network effects are harder for competitors to replicate than code or features.

Boris Cherny predicts AI will weaken traditional business moats. Switching costs decrease as AI can port systems, and process power is less defensible as AI can replicate complex workflows. However, foundational moats like network effects and scale economies will remain strong or grow in importance.

The long-held belief that a complex codebase provides a durable competitive advantage is becoming obsolete due to AI. As software becomes easier to replicate, defensibility shifts away from the technology itself and back toward classic business moats like network effects, brand reputation, and deep industry integration.

As AI makes software development nearly free, traditional engineering moats are disappearing. Businesses must now rely on durable advantages like network effects, economies of scale, brand trust, and defensible IP to survive, becoming "unsloppable."

The barrier to entry for software has dropped near zero. A company's moat can no longer be the millions of man-hours invested in its code. AI enables startups to replicate complex products in months, forcing CPOs to find new, more durable sources of differentiation beyond engineering effort.

As AI makes software creation accessible to everyone, Silicon Valley's historical edge—knowing how to code—disappears. The new defensible moats are assets like proprietary data, trust, or network effects, not the software itself, threatening the region's dominance.

As AI tooling advances, building complex applications becomes trivial, commoditizing software development. Defensibility can no longer come from technical execution. Companies must find moats in business models, distribution, or data, as simply 'building what customers want' is no longer a competitive advantage.

Advanced AI tools have made writing software trivially easy, erasing the traditional moat of technical execution. The new differentiators for businesses are non-technical assets like brand trust, distribution networks, and community, as the software itself has become instantly replicable.