Cloud Computing

The 'HALO' (Heavy Assets, Low Obsolescence) framework holds that AI commoditizes software businesses by eliminating their competitive moats, while hard-to-replicate physical infrastructure networks — logistics, fulfillment, satellites — attract higher valuation premiums precisely because they can't be disrupted the same way.

With the IGV software index down 30% YTD, the market is throwing the baby out with the bathwater — software moats were never just about code generation, and some names represent value buys.

An estimated 95% of the current price action in software is driven by terminal value reassessment, explaining why companies like Adobe and Duolingo trade at 70% discounts despite record earnings — the market is pricing in AI rendering their businesses obsolete.

Goldman's CIO argues that software tied to stable, regulated processes like accounting will endure, while developer lifecycle tools and simple UX wrappers face existential risk as the buy-vs-build equation shifts dramatically toward build.

Software businesses deeply integrated in customer workflows are seeing multiples compressed and growth forecasts cut because the market treats them like low-barrier SaaS businesses vulnerable to AI disruption.

Market cap-to-free-cash-flow ratios for SaaS companies like Snowflake, ServiceNow, and Workday are being slashed as investors question the durability of software cash flows in a world approaching superintelligence.

Companies like Snowflake, ServiceNow, and Workday are seeing dramatic compression in market cap-to-free cash flow ratios as investors question whether any software business has durable cash flows in a world approaching superintelligence.

If superintelligence shortens business life cycles to 5-6 years, public markets can no longer justify premium multiples on distant cash flows. Snowflake, ServiceNow, and Workday are already repricing sharply downward on market-cap-to-FCF ratios.

About 25% of all direct lending is concentrated in software companies bought by PE between 2018-2022 at low rates, with 11% of those loans needing refinancing next year and 20% the year after — at much higher rates and amid AI disruption fears.

The IGV software ETF is down 30% from its peak, but the market is incorrectly associating every AI advancement as bad for all software. Humans and agents will both use enterprise software for the foreseeable future.

Software moats come from distribution, customer relationships, and switching costs — not R&D — so incumbents with deep enterprise integrations are better positioned than vibe-coded AI challengers.

Software stocks are broadly hated, creating a contrarian buying opportunity analogous to Chinese equities two years ago when widespread fear preceded significant gains.

Widespread investor fear toward software creates a contrarian buying opportunity, as fundamentally strong recurring-revenue businesses trade at depressed multiples.

Software moats come from distribution, customer relationships, and switching costs — not R&D. Workday's 98-99% gross retention and years-long implementation cycles make vibe-coded replacements implausible.

With $377B flowing into AI financing in H1 2025 alone — eclipsing all of 2024 — capital is being pulled from SaaS names, creating dislocations in businesses with strong long-term survival prospects.