SaaSpocalypse Now

The Innovator's Dilemma comes to enterprise software

“I don’t know what will happen to the group of today’s SaaS incumbents.” Companies that address AI head-on can do better than ever, while others may “lose market value, go bankrupt or completely go bust”, he said.

Dario Amodei, CEO and Co-founder of Anthropic, May 6, 2026

I have been spending a lot of time in the classroom at Northeastern these past few years talking about Clayton Christensen’s Disruptive Innovation theory, but this past semester it really hit home—as it became clear that this dynamic was happening in the world where I spent the majority of my career: Enterprise Software.

Market commentators have dubbed this the “SaaSpocalypse.” After fifteen+ years of "up and to the right” growth, the SaaS industry appears to be hitting a wall. Traditional “per seat per month” pricing is rapidly falling out of favor with buyers, metrics such as ARR, NDR and LTV are wilting, point solution fatigue has led to ongoing vendor consolidation (which I predicted - based on CIO input - in 2023), and valuations are being slashed in both private and public markets.

Some are taking the position that this is a standard market correction. I believe that there’s something much more fundamental taking place: classic disruptive innovation.

The Investor Trap: Confusing “Sticky” with “Safe”

For nearly two decades, the prevailing investment thesis in SaaS has centered on the assumption that these solutions were particularly “sticky.” Investors made massive bets, operating under the assumption that once a company implements and integrates a specific ERP, HRIS, or CRM, the switching costs—the organizational pain of “ripping and replacing”—act as a protective barrier.

But in the Christensen framework, a moat built on the difficulty of departure rather than the delight of the Job to be Done is a fragile one.

For years, SaaS incumbents have focused on sustaining innovations—adding more features and more complexity to justify price increases to their most demanding customers. In doing so, many have “overshot” the needs of the average user, creating a massive opening at the low end of the market.

Enter the “Inferior” Disruptor

Christensen taught us that disruptive innovations often start by looking like toys. They are “inferior” by traditional performance metrics - but offer a new value proposition: they are simpler, cheaper, and more convenient.

Today, that disruptor is Generative AI and vibe-coded solutions—software built not by massive engineering teams over years, but by small teams using LLMs to generate functional code on the fly.

By traditional enterprise standards, these AI-driven agents and lightweight tools are inferior. They lack the twenty+ year history of SOC2 compliance and the massive implementation manuals of a Salesforce or an Oracle. And of course those now-legacy systems are often the systems of record, where the “keys to the kingdom” data and core workflows reside. Thinking of replacing them has been a career-ending risk - until the cost of not doing so becomes even higher.

However the order-of magnitude leap in developer productivity that AI is providing changes the equation - allowing small teams to build highly specialized and customized agents that solve their users’ Jobs to be Done with a fraction of the friction. As long-time enterprise software executive and investor Brett Queener recently noted, we are moving toward a world where value is found not in the tracking of data (the system of record), but in the judgment applied to it. This judgement varies - for competitive reasons - from organization to organization; so this isn’t just a cost issue, it’s a competitive one as well.

The “Headless” Pivot: Delivering Value, Destroying the Seat

The most telling evidence of the SaaSpocalypse isn’t coming from the startups; it’s coming from the incumbents themselves. Take Salesforce’s Headless 360 announcement. By exposing the entire platform as a headless set of APIs and MCP tools, Salesforce is admitting that for many users, the “Job to be Done” no longer requires a browser.

This is the right move for customers—it removes the “UI tax” and allows AI agents to operate directly on the data. But it also fundamentally blows up the traditional SaaS revenue model. You cannot charge $150/month for a “seat” when there is no one sitting in it.

One has to give Salesforce and its peers credit for having the strategic foresight to disrupt themselves—this is the Innovator’s Dilemma in action. They are choosing to cannibalize their own “per-seat” revenue model before an AI-native solution does it for them. Whether they can successfully navigate the revenue chasm on the other side remains to be seen.

It also remains to be seen how committed the industry really is to disrupting itself, as half-measures by some providers limit the usefulness of their “disruptive” initiatives.

Let’s not forget that Kodak invented the digital camera.

Vertical Resilience vs. The LLM Acceleration

Others have suggested that industry-specific Vertical SaaS is a safer place to be. Perhaps. The “Job to be Done” in a specialized field like oncology or heavy construction requires deep, localized context that generic AI may not be as able to grasp as easily as the fairly standardized context of ERP, CRM & HRIS applications.

Even if we believe that vertical solutions have a higher likelihood of remaining sticky in the near term, no one should confuse “safer” with “safe.” The “contextual moat” is evaporating faster than many anticipated because the models themselves are specializing.

Anthropic’s recent release of a specialized legal module for Claude is a massive shot across the bow for vertical software, as are the aforementioned finance models referenced earlier in this piece. If an LLM can be “taught” the nuances of BigLaw or banking in a matter of months, the industry-specific moat that vertical SaaS providers have relied on for years will eventually look more like a puddle.

The Shift from Seats to Outcomes

Thinking back at my years in enterprise software - the “SaaSpocalypse” is sobering but not surprising. We are seeing the beginning of the end of the “SaaS-as-a-Service-Tax” era.

• The Horizontal Risk: Platforms for horizontal functions - Finance, HR, CRM - are ripe to be disrupted because they are the most predictable and the least differentiated. While in the near-term they are the hardest to 'rip and replace,' that's a defensive posture, not a growth strategy. The disruption is currently most active at the edges, where AI agents are devouring the high-margin 'point solutions' that once thrived in the incumbent's app stores. In effect, Salesforce’s headless pivot is a tactical retreat - that sacrifices its own AppExchange ecosystem - and the many point solution vendors in it - than to its core.

• The Vertical Warning: Specialization is no longer a permanent shield. As specialized LLM modules expand, the “contextual moat” is evaporating. The adaptation of elite professional services firms - and the birth of well-funded giants like OpenAI’s The Deployment Company and Anthropic’s $1.5B partnership with Blackstone and Goldman Sachs - proves that AI-native solutions are gaining vertical momentum. Vertical incumbents are no less at risk. In fact, the stakes are higher - industry-specific Jobs to be Done tend to be even more customized and critical, and they are no longer beyond the reach of a specialized model.

Ultimately the companies that survive this disruption won’t be the ones that hold their customers hostage with high switching costs. They will be the ones that leverage AI to stop being passive “Systems of Record” and start being active “Systems of Judgment.”

In the end, it won’t be the stickiest who survive—it will be those who are most useful.