The key volatility risk for the AI trend is a potential "air pocket"—a timing gap between the massive CapEx on training infrastructure and the actual realization of productivity gains from AI applications. This handoff period could trigger a market correction, even for long-term believers in AI.

The "SaaS-pocalypse" isn't about AI replacing software overnight. Instead, AI's disruptive potential erases the decades-long growth certainty that justified high SaaS valuations. Investors are punishing this newfound unpredictability of future cash flows, regardless of current performance.

In the early stages of a disruptive technology like AI, the market lacks concrete data, leading to a wide range of predictions. This uncertainty causes sentiment to swing dramatically from euphoria to panic based on narratives and thought pieces, as seen with recent software selloffs.

The massive capital pouring into AI infrastructure far outpaces real-world adoption by enterprises and society. This "human metabolism" gap suggests hyped use cases are years away, setting the stage for a significant market correction after the current wave of IPOs, similar to the dot-com bust.

Even if AI progress stopped today, it would take 10-20 years for the economy to fully absorb and implement current capabilities. This growing gap between what's technologically possible and what's adopted in the market creates a massive, long-term opportunity for innovators.

The market narrative reversed from 'What if AI isn't good enough?' to 'What if AI is too good?' This shift, driven by agentic capabilities, triggered a 'SaaSpocalypse,' where investors now fear AI will destroy existing software companies' value rather than just being overhyped.

The idea that companies will fire everyone after buying ChatGPT is naive. Enterprise software sales cycles are 18+ months long, and integrating new tech into core systems takes years. This inherent inertia means AI's impact on jobs will be a gradual evolution, not an overnight revolution.

The narrative that AI will immediately and negatively disrupt all software companies is flawed. Significant infrastructure capex is required before widespread adoption, delaying the impact. Furthermore, many well-positioned incumbent software companies will actually benefit from AI, using it to expand their margins.

A significant gap exists between market sentiment and operational reality. While public market ETFs and influencers proclaim a "SaaSpocalypse," founders inside SaaS companies are experiencing accelerated growth and productivity gains by leveraging AI. This highlights a market inefficiency driven by fear rather than performance data.