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.

A market bifurcation is underway where investors prioritize AI startups with extreme growth rates over traditional SaaS companies. This creates a "changing of the guard," forcing established SaaS players to adopt AI aggressively or risk being devalued as legacy assets, while AI-native firms command premium valuations.

Limited Partners and VCs increasingly believe the SaaS investment thesis has 'run its course' for generating massive returns. This perception is driving capital flow into deep tech, now viewed as the next wave for outsized performance.

A partner at Google's AI-focused fund, Gradient Ventures, has adopted a "short SaaS" investment thesis. The rationale is that AI makes building software so easy that most traditional SaaS companies no longer have a defensible moat. This puts the entire business model in jeopardy, making it an unattractive area for new venture investment.

As large AI models absorb functions of traditional SaaS products, investors and entrepreneurs are shifting focus back to tech-enabled services. Integrating AI deeply into physical services and workflows is now seen as creating more defensible, lasting value than pure software, reversing a years-long trend.

As AI commoditizes software, hardware is re-emerging as a key defensibility layer for startups. A decade ago, VCs avoided hardware, but now a physical device tied to a software subscription creates powerful stickiness and justifies high valuations, representing a major shift in investment strategy.

A VC from Emergence Capital argues the industry is in a "massive compute shortage" driven by compute-intensive reasoning models. This hardware constraint is forcing a strategic shift in investment theses, with VCs now actively seeking companies that make intelligence more efficient at every level, from chips to algorithms.

The market cap lost by software companies being disrupted by AI is not disappearing. It's rotating into investments for the underlying infrastructure—AI chips and data centers—that power the AI agents causing the disruption, effectively "feeding the beast."

AI makes it easy to replicate successful software, diminishing moats. This threat of being "vibe coded" pushes early-stage investors like Hustle Fund to seek defensibility by backing more complex, harder-to-copy infrastructure and hardware companies instead of just applications.