On August 20, 2011, legendary enterprise capitalist Marc Andreessen revealed a weblog submit—and an accompanying essay in The Wall Avenue Journal—that may turn into the sacred texts of the Silicon Valley bull run. Titled “Why Software Is Eating The World,” he argued that the worldwide economic system was present process a “dramatic and broad technological and economic shift” and that software program firms had been poised to take over giant swathes of the trade.
Fifteen years later, in February 2026, Andreessen’s prophecy has been fulfilled in a way that even the most important bulls didn’t predict. Software program did certainly eat retail (Amazon), video (Netflix), music (Spotify), and telecommunications (Skype) simply as Andreessen predicted, however the market obtained a $1 trillion shock in February as a result of one thing was consuming software program itself. That one thing, in fact, was synthetic intelligence.
Morgan Stanley’s software program analysts, led by Keith Weiss, provided a “gut check” this week in a serious analysis be aware, arguing that “AI IS software” but in addition that software program is rising so all-consuming that it’s certainly beginning to eat work itself. Andreessen’s a16z has a core technique of investing throughout enterprise software program, together with cloud, safety and software-as-a-service (SaaS), however the $1 trillion-plus selloff dubbed the “SaaSpocalypse” cuts to the very coronary heart of that mannequin. Andreessen appears to be like like he was extra proper than he knew about software program consuming the world.
The unique prophecy
Andreessen claimed that firms like Amazon and Netflix weren’t merely speculative bets, however “real, high-growth, high-margin, highly defensible businesses” constructing a completely digitally wired world economic system. He appropriately recognized that Borders was handing its keys to Amazon, that Netflix was eviscerating Blockbuster, and that “software is also eating much of the value chain of industries… in the physical world,” resembling cars and agriculture.
For a decade and a half, he was proper. The “creative destruction” he invoked—citing economist Joseph Schumpeter—decimated legacy incumbents and minted trillions in worth for software program insurgents. Nevertheless, the AI revolution of 2022 onward and the SaaSpocalypse of 2026 counsel that the cycle of inventive destruction has arrived on the doorstep of the software program trade itself. Morgan Stanley’s Weiss wrote of a “Trinity of Software Fears” presently driving down inventory multiples by 33% that reduce to a elementary questioning of the software program enterprise mannequin.
Beforehand, software program required a human operator to enter and manipulate this knowledge. Now, Wall Avenue fears that software program can do all of it by itself. “Generative AI represents a continuing expansion of what types of work and business processes software can now effectively automate,” Weiss wrote, revisiting his staff’s preliminary estimate that enterprise software program’s complete addressable market may develop by $400 billion by 2028. Three dangers put that in query, principal amongst them that “as GenAI automates a broader swathe of work, the increasing productivity gains will result in a reduction in the number of employees necessary to execute those tasks.”
If software program permits an organization to chop its employees by half, it additionally cuts the variety of software program subscriptions it wants by half. After software program ate the world, then, it appeared to begin consuming the income of its creators by consuming the roles of its customers.
The ‘do-it-yourself’ menace
Andreessen predicted in 2011 that “software programming tools… make it easy to launch new global software-powered start-ups,” viewing this as a boon for entrepreneurs. In the present day, nevertheless, buyers are starting to view this democratized ease of creation as a menace to established software program giants.
One of many major fears cited by Morgan Stanley is the rise of “do-it-yourself” (DIY) software program. That is colloquially often called “vibe coding,” the place a person will ask the AI to code issues in keeping with a sure vibe that they’re going for. As AI code technology instruments drastically decrease the fee and talent required to write down code, there’s a rising worry that “companies will choose to develop more software themselves” fairly than paying for costly third-party distributors.
Moreover, there’s the looming menace of “model providers”—the creators of frontier AI fashions—rendering conventional purposes out of date. The worry is that an AI agent may act as an “intelligent user interface,” pulling collectively knowledge and instruments to automate workflows on the fly. On this state of affairs, the distinct “app” disappears, changed by a single, omniscient mannequin that serves because the working system for your complete enterprise.
Will incumbents strike again?
Like different analysts (and a number of other rattled SaaS executives), Morgan Stanley argued that the market’s response is overblown, echoing Andreessen’s 2011 sentiment that buyers had been ignoring “intrinsic value” proper in entrance of them. The financial institution urged that the “bear case arguments around GenAI appear to give too little credence to the ability of incumbent software vendors to participate in this innovation cycle.”
Andreessen as soon as warned that “incumbent software companies like Oracle and Microsoft are increasingly threatened with irrelevance.” In 2026, nevertheless, Morgan Stanley recognized Microsoft, alongside Salesforce and ServiceNow, because the “Best Athletes” positioned to win. True, Salesforce is in “the eye of the storm” when it comes to workflows anticipated to be disrupted by GenAI. However Weiss stated that incumbents resembling Salesforce are efficiently pivoting to turn into “fast followers,” integrating AI to solidify their moats fairly than dropping them. For instance, Salesforce has seen its AI-related annual recurring income surge 114% 12 months over 12 months.
Zooming out, Morgan Stanley stated it sees a “path of innovation that actually looks relatively familiar”: a mixture of enhancing productiveness, higher use of instruments to automate capabilities and software program worth “predicated on labor displacement.” The distinction now’s the speedy tempo of innovation in comparison with prior cycles and higher instruments in the marketplace. It trying intently at Amazon Internet Companies and the shift within the early 2010s towards cloud computing. Even with the 33% pullback for software program’s fairness worth/gross sales a number of since October, the group is buying and selling about 15% above the start of the cloud period.
In a sequel of types to Andreessen’s well-known essay, his personal agency has launched new thought management (because it does fairly repeatedly). Steven Sinofsky of a16z dismissed the thought of the “death of software” earlier this month, arguing that “AI changes what we build and who builds it, but not how much needs to be built. We need vastly more software, not less.” He provided 5 predictions, together with extra software program being made with new instruments in a vastly extra refined means, but in addition an admission that “it is absolutely true that some companies will not make it,” and infinite invention and reinvention is the best way of capitalism. A glance again on the Fortune 500 archives present that’s undoubtedly the case.
In his 2011 essay, Andreessen concluded with optimism, calling the software program revolution a “profoundly positive story for the American economy.” He acknowledged challenges, particularly that “many workers in existing industries will be stranded on the wrong side of software-based disruption.”
That’s the place issues could also be scarily totally different this time. Even when software program finds a method to recuperate its a number of and proceed its upward trajectory, analysts are more and more seeing a way forward for rising GDP and productiveness with out almost as a lot human labor concerned. Michael Pearce of Oxford Economics not too long ago joined a gaggle together with Financial institution of America Analysis and Goldman Sachs warning that the U.S. economic system is nearing some extent the place it received’t have to maintain creating new jobs to maintain growing output.
Google DeepMind’s Nobel-winning co-founder, Demis Hassabis, not too long ago advised Fortune Editor-in-Chief Alyson Shontell that he was excited concerning the world of “radical abundance,” even a “renaissance” forward, however there can be a 10- to 15-year shakeout till we get there. That would come because the economic system figures out what to do with all of the labor that software program has eaten.
