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Chronicles

The story behind the story

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Adobe's stock has slumped more than 45% since the end of 2023, reflecting analyst concerns over the threat of AI-driven disruption to SaaS companies

Concern that Adobe Inc. will struggle in the artificial-intelligence era has driven Wall Street analysts' view on the maker of software …

Bloomberg Ryan Vlastelica

Context & Ripple Effects

Adobe entered the AI cycle with financial flexibility after its failed Figma deal left it with roughly $6 billion in cash, which related coverage framed as potential funding for AI development and buybacks. The current investor concern is whether that flexibility can translate into a durable product position.

The story also sits at the leading edge of a broader software re-rating: subsequent coverage described a selloff across software and data stocks on fears that AI could replace parts of established software offerings, rather than simply enhance them.

First-order effects

  • Adobe’s share price and analyst outlook become a direct referendum on its ability to defend its software franchises in an AI-led market.
  • Management faces greater pressure to show that AI investment is improving Adobe’s products and customer value, not merely raising expectations and costs.

Second-order effects

  • SaaS peers with similar exposure to AI-enabled workflow substitution may face tighter valuation scrutiny as investors reassess how defensible recurring software revenue is.
  • Adobe’s product, marketing and capital-allocation choices become more consequential: its earlier cash flexibility can support an AI response, but investors will judge the returns on that spending more closely.

Third-order effects

  • If this repricing persists, public-market software valuations may increasingly depend on demonstrated AI distribution and retention advantages rather than legacy subscription scale alone.
  • The sector could split between incumbents that embed AI into customer workflows and companies whose core features are perceived as easier for AI-native alternatives to reproduce; the extent of that split remains uncertain.

The trend: AI is shifting investor attention in software from established subscription franchises toward proof that incumbents can preserve distribution, differentiation and customer value as automation improves.

Discussion

  • @kylebrussell Kyle Russell on x
    As a business, do not build software to be used by humans. Build software to be driven by AI agents.
  • @fabknowledge @fabknowledge on x
    I once again have another piece about software, and I think that the answer / pattern is clear. Claude Code will be like DRAM/HBM a not persistent memory that gets used to “finish a task”, and software must change to fit it's new role in the memory hierarchy; NAND