The bubble nobody is looking at has more legs than the one everyone is arguing about. It is the SaaS debt trap. When their multiples collapsed, the SaaS incumbents took on record debt, bought back their own stock, and dressed the whole thing up as an AI strategy. Salesforce ran the most extreme version. HubSpot, Workday, ServiceNow, and Adobe ran variations. The bounce worked once. The endpoint is a debt-driven death loop that ends in a Bending Spoons offer letter. I made a prediction of a bounce in valuations in June, when I wrote\u00a0The Last Great Head Fake in Software History, but this is not what I was expecting.<\/p>\n
Had you asked me in April, I could not have imagined this was the playbook every leader in the category would run. In April I wrote\u00a0Software Is Over. Intelligence is the new core substrate. SaaS is the legacy one. Five months later, watching what the incumbents actually did in response, I think I might have been too soft. This is my update.
If speed is the cornerstone of AI-first, look at what five months just did to the legacy SaaS category and apply that same speed to your own thinking.<\/em><\/strong><\/p>\n The data-center bubble was the wrong bubble to watch. The SaaS debt trap is the one with real legs, and it is closer to snapping than the market has priced.<\/p>\n The market was already pricing my April thesis in when I wrote the anchor. The SaaS index fell 6.5% in 2025 while the S&P 500 rose 17.6%. Median SaaS revenue multiples went from 18x in 2021 to about 3x. IBM dropped 13.2% on February 23, its worst single day in more than 25 years, after Anthropic showed Claude Code modernizing COBOL. Jasper went from $120 million to $55 million in revenue in one year as soon as the model layer improved.<\/p>\n Every one of those data points has firmed up. Anthropic in particular. The $30 billion ARR mark I cited in April was an end-of-Q1 pace. Bloomberg reported in August that the annualized run rate crossed $65 billion at the end of July, up sevenfold from the $9 billion it exited 2025 on. Yesterday Bloomberg cited the New York Times reporting Anthropic is on track to top $100 billion in annualized revenue this year and could list as soon as November. Q2 2026 revenue alone was $11.5 billion, up 14x year over year. That is just Anthropic.<\/p>\n Sit with that. Anthropic added a Snowflake plus a Palantir to its run rate every quarter this year. Every dollar of that spend is a dollar of intelligence sitting under whatever screen a SaaS incumbent is still trying to charge for. Cheaper tokens compound the pressure because they make the AI-native replacement cheaper to build, every model improvement makes it easier to build. I walked the pricing dynamics in\u00a0Peak Token.<\/p>\n Put a market-cap frame on the same shape. Anthropic alone, at $965 billion (and expected to trade at IPO for double that), is worth more than Salesforce, Adobe, ServiceNow, Workday, and HubSpot combined. Those five names sit at roughly $544 billion of public equity as of September 18. Add OpenAI at $852 billion. The two leading language-model labs are approaching two trillion dollars in private equity value, comparable to a multiple of the entire pure-SaaS public category.<\/p>\n To say model companies are eating the world is an understatement. Think about it this way, that value is only the language-model slice of the AI puzzle. There are other core brains coming right behind them. Fei-Fei Li\u2019s World Labs raised $1.23 billion for spatial world models. Isomorphic Labs is training protein folding out of DeepMind. Microsoft\u2019s MatterGen is training materials science. Physical Intelligence and Skild AI are training robotics foundation models. Runway is training video. Suno is training music. ElevenLabs is training voice. Black Forest Labs is training image. DeepSeek is shipping open-weight frontier releases. xAI is training Grok. Perplexity is training answer models. Poolside is training code. At\u00a0Collective[i]\u00a0we trained the Economic Model. Each are critical brains and each are taking over.<\/p>\n Every one of these is a market a language model cannot address on its own. Every one has serious capital training against it right now. Some will end up bigger than what the LLMs unlocked. The substrate is competing on the balance sheet, and it is already winning.<\/p>\n The substrate is compounding faster than the incumbents can rebrand around it. This is the single most important number in the SaaSpocalypse thesis, and it has only gotten stronger.<\/p>\n<\/blockquote>\n Salesforce\u2019s own stock proved the thesis, then reversed it, then proved it again in real time. It dropped 30% through June to a $147 low. By early September it had ripped to $263. On September 18 it closed at $237.92. The round trip took two weeks. The thing that changed was not the product.<\/p>\n Here is the mechanical sequence. In February 2026, Salesforce\u2019s board authorized a $50 billion share repurchase. In March the company issued $25 billion in senior unsecured notes with maturities running to 2066 and routed the proceeds into the largest accelerated share repurchase in history. Initial delivery retired 103 million shares in one quarter at a $198.34 reference price, roughly 80% of the expected total. Final settlement lands later on the ASR-period VWAP. A separate $6 billion five-year term loan closed the Informatica acquisition. Senior notes on the balance sheet went from $8.5 billion to $33.3 billion in one quarter. All five months before Claudeforce.<\/p>\n Read the sequence for what it is. Salesforce entered March with $7.3 billion in cash. Management had capital and chose to borrow anyway. If Benioff believed Agentforce was going to reaccelerate the business, he would have kept the powder dry and spent it on a proprietary model, partnered on another ecosystem deal, or a lab-scale strategic stake. That left customers on their own to come up with their AI strategy. Kirkland and Latham are doing exactly that with a fraction of the balance sheet of a salesforce, because none of their partners had a solution to offer. I walked the substrate argument in\u00a0Software Is Not Going Down Alone\u00a0and the operating model in\u00a0The Hypothesis Company. Salesforce chose the buyback. That is a private-equity capital structure, not a growth-company one worth their current multiples.<\/p>\n On August 26 at the Q2 FY27 earnings call, Benioff announced Claudeforce. Claude inside Salesforce. Salesforce inside Claude. Thirty-seven prebuilt sales skills. He also gave the sell side the line they had been waiting for.<\/p>\n \u201cThis nonsense of the SaaSpocalypse, I think it\u2019s time for it to stop.\u201d\u00a0Marc Benioff, Q2 FY27 earnings call, August 26, 2026<\/em><\/strong><\/p>\n<\/blockquote>\n The stock jumped 22.58% in two days. Salesforce marked its Anthropic stake up by $2.7 billion in the quarter. That single line item covered\u00a096<\/em><\/strong>%\u00a0of the earnings surprise. The Anthropic position is worth about $5 billion and represents close to two-thirds of the entire Salesforce Ventures strategic portfolio. On the same call, Benioff floated selling the stake to help pay down the buyback debt. Two paper gains, one cash event. Neat.<\/p>\n When you put the marketing polish aside, any Salesforce customer with an API key could have called Claude the day before Claudeforce. What the announcement really gave every SFDC customer was a first-class path to replace the SFDC front end with an AI-generated CRM over a weekend. The workflows, the data, the schema are now reachable by any agent that can write SQL and hit a REST endpoint. Front-end lock-in was a big piece of the moat. Claudeforce handed customers the key to that piece.<\/p>\n Credit where Salesforce did read the game partially right. The Anthropic investment, the Claudeforce narrative, the AI wrapper on the legacy stack, and the $2.7 billion quarterly markup are what a partial\u00a0ecosystem play\u00a0looks like. It is why Salesforce squeezed a bounce out of the last two months when nothing else in the category did.<\/p>\n Now imagine what a real ecosystem play looks like at Salesforce\u2019s scale. Harvey and Legora for legal. A logistics model with the freight companies. Collective[i] as the Economic Model. A materials-science model with the manufacturers in the shape of MatterGen. Salesforce has the distribution and the buyer relationships every one of those model partners needs, and their clients have been waiting for something that is AI real. That is the platform play Nvidia and Microsoft is running with OpenAI and the value of that partnership dwarfs all the others combined. A handful of those deals would have paid for the buyback debt several times over and given them a real AI strategy their clients would have appreciated. The absence of the play is the biggest tell that there is no plan behind the curtain.<\/p>\n Watch what happened after Dreamforce. Two weeks of investor briefings, an AIforce interface layer, a Koa launch, and a fiscal 2030 revenue target of $63 billion. Analysts raised price targets. Wells Fargo to $250, UBS to $260, Stifel to $300. The stock fell 2% on the final day. The bounce is already discounting.<\/p>\n The bounce was a $25 billion balance-sheet transaction dressed up as an AI strategy. With the buyback done and Dreamforce over with no meaningful new build announced, the stock has one direction left to move. Every other SaaS incumbent is running the same play.<\/p>\n<\/blockquote>\n The Salesforce sequence is not an outlier. It is the template. Every public SaaS incumbent is redirecting capital to shareholder returns instead of to a differentiated AI capability. The details vary. The direction does not.<\/p>\n HubSpot.<\/strong>\u00a0Down 48% at the low, worst in the category per Bernstein. Response: Breeze, an AI agent lineup, and a February 2026 authorization for a $1 billion buyback. When that was more than half deployed by Q2, the board added another $1 billion in August. Two billion inside seven months. Working-capital funded, cleaner capital structure than Salesforce\u2019s. Same signal. The lock-in problem is untouched.<\/p>\n Workday.<\/strong>\u00a0Down 43%. Worst year since the 2012 IPO. Agentic AI ARR grew over 200% in the same window. The multiple ignored it. On August 27 the board authorized a fresh $4 billion buyback on top of the $2.9 billion Workday executed in fiscal 2026. Cash and marketable securities fell from $5.4 billion in January to $3.4 billion in July. Co-founder Aneel Bhusri on the last earnings call: \u201cno amount of vibe coding is going to produce an HR or an ERP system.\u201d That is Workday defending a workflow, not a substrate. When you the updates below, you can see why its hard for wall street to believe those words.<\/p>\n ServiceNow.<\/strong>\u00a0Dropped 18% in a single day, its worst on record. Response: $5 billion buyback authorized January 28, a $2 billion accelerated share repurchase executed January 30 at an average price of $107.97 (post-split). Q1 2026 alone retired more than 20 million shares. Q2 AI ACV crossed $1 billion tracking toward the $1.5 billion full-year target. The multiple has not returned to prior levels. Debt-to-equity sits at 0.12, so this is cash-funded. The signal is still that the highest-return use of capital is retiring stock.<\/p>\n Adobe.<\/strong>\u00a0Down 28% in 12 months. In April, with the stock already broken, the board authorized a new $25 billion buyback running through 2030. Q3 fiscal 2026 was a clean beat. Revenue $6.76 billion, up 13%. AI-first ARR up over 150% year over year. The stock fell 2% after hours. The prior $23.3 billion in buybacks executed at an average price around $412. The stock closed at $250. That is $23 billion in shareholder capital retired at prices 65% above where the market is bidding today. CEO Shantanu Narayen is out December 1. CFO Dan Durn left in June.<\/p>\n IBM.<\/strong>\u00a0Not the same category, same reflex. Down 22% through February. Total debt sits around $55 to $61 billion. Response to the Claude Code COBOL threat: statements about hybrid cloud and Watsonx. No frontier model. No lab-scale capital commitment.<\/p>\n Step back. Not one of these companies has announced a strategy that would save the business rather than the stock. Not one has committed to owning an AI substrate. Not one has launched an AI-native product free of a legacy schema. Not one has any meaningful ecosystem play at platform scale. All of this despite the ecosystem partnerships being the highlight of Nvidia, Microsoft and Salesforce earnings.<\/p>\n All of them are still growing at some rate. ServiceNow subscriptions crossed 24%, Salesforce Agentforce plus Data 360 ARR reached $3.9 billion, Workday subscriptions grew 14%. Real numbers. None of them earns a growth multiple, which is why the market is repricing every name in the category as a cash-return vehicle rather than a compounder.<\/p>\n All of this is happening while the piranha effect strips meat off the SaaS bone from below. Every dollar going into Cursor, Cognition, GitHub Copilot, Gemini Code Assist, Claude Code, and Amazon Q Developer has a developer on the other end of it building something to replace SaaS, legacy applications, and more. Cursor at $60 billion. Cognition at $25 billion. Roughly $150 billion of venture capital flowed into AI developer tools in 2026 alone. The growth of those tools is the headwind ahead for every SaaS incumbent and SaaS buyer and investor, sized and priced in real time.<\/p>\n And these AI coding platforms are not even trying to hide their goals.<\/p>\n Buybacks at scale can mean several things. Dilution management. Excess cash return. A CFO who cannot find a growth investment that clears the hurdle. Look at the timing. Every one of these programs was announced in the first eight months of 2026, right after the multiples broke. That is response, not policy. A cash-funded ASR sized to offset stock-based comp is dilution management. A $25 billion debt-funded ASR announced five months before the flagship user conference and then framed as the setup for the reacceleration story is a different animal.<\/p>\n There is also a clock for the ecosystem play that lead to the positive story behind Microsoft and Salesforce. Anthropic was worth $4 billion when Salesforce first backed it in 2023 and $965 billion today (and potentially twice that in a month after the IPO). Every quarter the math tilts further against the SaaS incumbents that have not signed a comparable deal. The terms keep getting worse the longer they wait.<\/p>\n Not one incumbent has a strategy for saving the business. All of them have a program for managing the stock price. Those are not the same thing, and the market is starting to notice.<\/p>\n<\/blockquote>\n The incumbents are frozen. The buyers are not. Five moves in five months, in categories I would not have seen coming, that show the speed of replacement running ahead of the coverage.<\/p>\n A regulated health insurer canceled Salesforce and rebuilt in two months.<\/strong>\u00a0I would never have said this year that a regulated player would do this in public, this fast. Curative sells zero-deductible, zero-copay plans to self-funded employers. 165,000 members. More than $1 billion in ARR. Fred Turner, the founder, went on 20VC in July and said Curative had canceled its $600,000 Salesforce contract. Business Insider confirmed it the following week. The rebuild took two months. Curative\u2019s target is to eliminate 80% of its SaaS spend in 2026 and shrink headcount from 650 to 400.<\/p>\n Health insurance is one of the most regulated categories in America. If it can move, most of what the bull case calls sticky can move. Every board, CEO and GC in a regulated firm knows Curative did it and got away with it. The stickiest slice of SaaS revenue, the piece the bull case leaned on hardest, is now doubt.<\/p>\n Private equity started buying software as roll-up lead generation, and venture started buying the regulated buyers.<\/strong>\u00a0Both are new. PE firms have been the reliable secondary buyer for tired SaaS since Vista bought Marketo in 2016. They are now replacing that SaaS with their own AI-first stacks and rolling up entire markets. Thrive Holdings raised $2 billion in August at a $12 billion valuation. OpenAI took an equity stake in December 2025 and embedded engineers inside the portfolio. Current has 50+ firms and 2,000+ professionals. Tax agents processed 7,000+ returns at 98% accuracy. Shield runs help-desk resolution 36 times faster than baseline. Sponsors are no longer buying software companies. They are buying the industries software companies used to sell into.<\/p>\n General Catalyst is running the venture version. HATCo closed the $515 million purchase of Ohio-based Summa Health in October 2025 with $350 million in tech commitments. First hospital system owned by a venture firm. Michael Dell and Silver Lake ran the same pattern in industrial software for two decades. That is now the template for AI-native operators who want to own the customer. Two categories of capital that used to be the exit for SaaS are now the acquirer of the buyers.<\/p>\n Enterprises started pulling out entire ERPs, not just modules.<\/strong>\u00a0Rillet closed a $100 million Series C at a $1 billion valuation on August 20. ICONIQ led. Andreessen Horowitz and Sequoia followed. Round closed in under 48 hours after Rillet doubled new ARR the prior quarter. Customers replace NetSuite, Sage Intacct, Oracle Fusion, SAP, Workday, and Microsoft Great Plains. Slash Financial raised $100 million at $1.4 billion in April with Ribbit leading, launched Twin, an AI chief-of-staff. Ribbit\u2019s Micky Malka called it \u201cthe bank of the future, where agents handle the processes that used to require entire departments.\u201d That is about headcount, not productivity. Workday may be asleep at the wheel on this.<\/p>\n Three law firms committed $1.5 billion combined to build their own AI. Zero public SaaS companies have.<\/strong>\u00a0On May 28, Kirkland & Ellis committed $500 million over three to four years to build a proprietary platform, funded from revenue. On September 14, Morgan & Morgan doubled it. $1 billion over ten years for MX2, close to 5,000 monthly active users, licensing to other firms in late 2027. Latham & Watkins bought its own Nvidia GPU servers to run open-weight models on-premise with sensitive client data. Name a public SaaS company that has committed comparable capital to build its own frontier-class AI. There is not one.<\/p>\n Whole new categories are emerging that are not software at all.<\/strong>\u00a0Collective[i] is just one, but its worth pointing out that AI is also a new model of business and in private data a new way to operate. Ten years in, we have built the world\u2019s first Economic Model. Trained on B2B commerce as a time series on top of a live context graph. It predicts where and when revenue materializes, which deals happen (for PE and VC), weeks or months ahead of the outcome, then optimizes across it.\u00a0Intelligence.com\u00a0is the same infrastructure opened to anyone with a professional network worth using. Pair the model with agents. Ours are Telli Assistants. The output is not a screen. It is the outcome you asked for.<\/p>\n The replacement is running ahead of the coverage. Every one of these moves would have been dismissed as impossible in April. The market is paying attention to earnings prints. It is missing the buyer behavior underneath them.<\/em><\/p>\n<\/blockquote>\n Let me lay out the bull case so you can see what the cheerleaders are saying and why I just don\u2019t buy it.<\/p>\n The cash-flow argument.<\/strong>\u00a0The reported quarters look fine. ServiceNow subscriptions up 24.5%. Salesforce cRPO up 14. Workday up 13.9. Salesforce Agentforce plus Data 360 ARR $3.9 billion growing 210%. Real numbers. This is also the shape a category makes right before it breaks. Every developer using Cursor, Claude Code, or Copilot to build an internal replacement is a customer who has not churned yet. A small percentage converting takes a 12-to-25% grower flat inside two prints. Salesforce built its empire on growth-through-acquisition. Slack $27.7 billion. Tableau $15.7. MuleSoft $6.5. Informatica this year. Every deal needed a strong public currency. Currency compression is structural now. The compounder is broken.<\/p>\n The vertical-incumbent argument.<\/strong>\u00a0Vertical incumbents embedded in regulated workflows have advantages that capital alone does not replicate. Thrive is the counter. If the sponsor treats vertical software as a customer-acquisition instrument, the incumbent is not competing on features. It is competing against a distribution strategy willing to lose money to buy the market.<\/p>\n The build-side-has-bills argument.<\/strong>\u00a0Retool\u2019s 2026 survey found 60% of respondents building software outside IT oversight. Twenty-five percent do it frequently. Shadow IT has a real cost. Custom software needs an owner in year three. The bill for freezing is bigger. AI-first competitors ship in weeks. Three of the costs that used to protect incumbents (switching, custom build, and internal owner) all dropped at once. That has never happened before in a category transition.<\/p>\n The regulated-buyers-are-stickier argument.<\/strong>\u00a0Team8 surveyed dozens of North American banks. Eighty-one percent had changed their build-versus-buy calculus over five years because of AI. Not to rip out incumbents wholesale. To build the differentiating layer and partner on the model. Sixty-four percent are actively considering lab partnerships, up from 25% five years ago. JPMorgan spent $18 billion on tech last year and writes most of its AI in-house. Curative is running the same play in health insurance. The category everyone assumed would rent forever is moving to hybrid first. Those are going to be big headwinds to growth.<\/p>\n The headless-SaaS counter.<\/strong>\u00a0The strongest version of the bull case is not Burry\u2019s. It is the argument that AI hits the SaaS front end while leaving the system of record intact. Salesforce becomes headless. The database, the schema, the workflows, the permissions, the AppExchange, the integrations all survive. Claudeforce is Salesforce betting on exactly this. It could work. What it is not is a growth story. A headless SaaS layer trading at private-equity multiples is what the market is already starting to price. Nobody pays a growth premium to be plumbing. My take also is that once the user moves to ai front end the backend is easier to remove.<\/p>\n The Michael Burry counter.<\/strong>\u00a0Burry has spent 2026 shorting AI infrastructure (Palantir, Nvidia, Oracle, the semi ETFs) and going long the beaten-down SaaS names. In his April letter he framed Adobe, Autodesk, and Veeva as a credit-driven selling-exhaustion trade. His argument: the SaaS repricing is a leveraged-investor unwind, not a demand-destruction story, and the intrinsic value is intact. That is the sharpest version of the bull case anyone has put on paper.<\/p>\n I read both carefully. Burry is right that credit dynamics were part of the drop. He is missing what is happening on the demand side. Curative is not unwinding leverage. Curative is unwinding Salesforce. Kirkland is not waiting for its multiple to normalize. Kirkland is building a proprietary AI to make it worse. The headless-SaaS argument is harder because it might be right on the mechanism and still wrong on the multiple. Once Claude is the interface, customers discover they were using 20% of the Salesforce schema. Modern data stores replicate that 20% in a weekend. Once the interface is external, the switching cost of the underlying database collapses because the interface was the retention mechanism. Headless SaaS is a slower death, not a save.<\/p>\n Every bull argument survives the first look. None of them survive the second. The headless-SaaS thesis is the sharpest structural counter, and even the version where it holds ends at a lower multiple than the incumbents currently trade at.<\/p>\n<\/blockquote>\n Dreamforce wrapped September 17. Attendance was roughly 43,000, down from about 50,000 in 2025 and roughly 75% off the 2019 peak of 171,000. Trajectory matters because Dreamforce is the closest thing Salesforce has to a demand signal that is not filtered through the sell side. Five straight years of decline.<\/p>\n Compare it to how the AI companies launch. Anthropic and OpenAI ship models with a blog post, a livestream, and a documentation drop. Developer influencers pull the demo into a video and ship analysis inside twelve hours. Cursor and Cognition demos move markets on the day. Dreamforce runs three days in person with rented actors and celebrity keynotes. The AI world does not need a physical stage. It has a billion developers watching in real time.<\/p>\n Four things a public SaaS incumbent could have put on the table at Dreamforce to change the story.<\/p>\n -A frontier-class model of its own. Not a rebrand. Not a wrapper. A model. Nobody in the category showed one.<\/p>\n -A strategic investment in the labs at Microsoft or NVIDIA scale. Microsoft has committed roughly $18 billion across OpenAI and Anthropic. NVIDIA committed roughly $50 billion in AI equity per Jensen Huang\u2019s August 26 remarks. Salesforce\u2019s $5 billion Anthropic stake is a passive Series C position from 2023, not a strategic capital commitment.<\/p>\n -An acquisition paid for in a strong currency at growth valuations. Not another buyback. Informatica does not count.<\/p>\n -An ecosystem play. Of all of these three,\u00a0this is the only one<\/strong>\u00a0that has shown to be a major mover of value. Salesforce does not own the substrate. It rents it from Anthropic. I walked the mechanics in\u00a0The Reason Prior Tech Bubbles Broke Just Got Fixed.<\/p>\n Salesforce called this play Claudeforce. Anthropic\u2019s customers may as well call what happens next Claudedaway.<\/strong><\/p>\n<\/blockquote>\n The moment for the incumbents to change the story came and went. The moat is now with the model companies and the coding tools. Dreamforce was the sound of a legacy stage rented for a legacy audience.<\/p>\n In April I would not have told you that a valuation for the SaaS floor would have a name. It does now. Bending Spoons.<\/p>\n On August 4, Bending Spoons agreed to acquire Airtable for $1.285 billion in enterprise value. Airtable brought roughly $965 million of net cash to closing, so shareholders received about $2.25 billion. ARR was about $480 million growing over 20% year-over-year. 500,000 organizations using the product. 80 of the Fortune 100. Peaked at $11 billion in 2021. The founders took the deal because the alternative was slower. That put a stake in the ground.<\/p>\n Two multiples come out of that trade and you need both. The operating business cleared at 2.68 times revenue on enterprise value. That is what a Bending Spoons buyer clears at for the operating asset, and it is the standard multiple for M&A comparables. The total consideration cleared at 4.7 times revenue on equity, which is what shareholders took home because Airtable had almost a billion in cash on the balance sheet. The public SaaS incumbents do not have that cushion. Salesforce has $25 billion of new senior debt running the other way. Honest read: 2.68 for the operating business, 4.7 for what a healthy balance sheet gets you at exit. I ran both.<\/p>\n Bending Spoons is a category, not just a company. Milan-based. IPO\u2019d July 1 at $29 a share, now at $18 billion. The business model is closer to private equity than software. Buy underperforming digital assets, cut staff 70% or more, raise prices, cut free tiers, let churn wash out the price-sensitive customers, keep the sticky ones.<\/p>\n Fifty-plus acquisitions. AOL, WeTransfer, Vimeo, Eventbrite, Evernote, Airtable. Revenue $671 million in 2024, $1.31 billion in 2025, $601 million in Q1 2026 alone. Evernote lost most of its US and Chile staff inside six months. Vimeo lost the entire video group. Komoot cut three quarters of headcount. That is the deal every SaaS CEO gets sent from here on.<\/p>\n Both floors, next to the SaaS names. The math is not friendly on either.<\/p>\n Three of the five already trade below the friendly floor. Adobe 14% below, Workday 8%, HubSpot 29%. Salesforce and ServiceNow have room to fall to the friendly floor. Every one of the five has room down to the operating floor. Read the buyback prices against those numbers. Adobe retired $23.3 billion at an average of $412 per share against an operating floor near $170. More than double. Salesforce\u2019s ASR at $198 lands at the equity floor per share and roughly twice the operating floor. Every one of these companies retired stock at prices only defensible if the multiple returns to prior peaks. It has not. Airtable put the stake in the ground on where it lands if it does not.<\/p>\n The mechanics run in one direction from here.<\/p>\n The buyback stops working. You cannot run the largest ASR in history twice in eighteen months. The second $25 billion of Salesforce\u2019s $50 billion authorization lands differently once the story has already been told.<\/p>\n Replacement buyers ship. Every quarter, another Curative rebuilds, another Kirkland ships a proprietary AI stack, another Rillet doubles new ARR, and another Salesforce customer takes Claudeforce\u2019s own API and uses it to leave. The reported growth numbers hold until a small percentage of the buyer base has finished the replacement build, and then they do not.<\/p>\n The debt payments do not care. The March 2026 senior notes carry weighted-average coupons north of 5%. The debt is serviceable at today\u2019s cash flow. Salesforce generated roughly $14 billion in free cash flow last year. Coverage is fine and will stay fine for some time. That is not the point. A growth compounder just committed a large chunk of its future cash flow to bond payments instead of growth investments, at exactly the moment the growth investments were most needed.<\/p>\n Marc\u2019s dream this week became, thanks to a debt-driven buyback dressed up as an AI strategy, his shareholders\u2019 nightmare.<\/strong><\/p>\n<\/blockquote>\n This might be the short of the century. Michael Burry may already be watching. He took the other side of my trade. The interesting positions always have someone smart on the opposite side. What I know is that Marc Benioff borrowed $25 billion to buy his own stock and cannot run the same trade at the same terms twice. The incumbents have left one bounce and a quarter or two of Anthropic-markup EPS cover. Both erode on schedule. Anthropic\u2019s own IPO turns the paper mark into a cash decision.<\/p>\n If you invest.<\/strong>\u00a0I do not make investment advice but here is what I would do. The pair is long the substrate, short the seats. Cursor at $60 billion. Cognition at $25 billion. Anthropic at $965 billion. That is where the compression at Salesforce, Workday, ServiceNow, and Adobe is going. Every open-weight release drives the short leg harder than the long leg. If Burry is right, you lose on the short and make it back on the substrate. If I am right, both pay.<\/p>\n If you run technology.<\/strong>\u00a0The move is not to replace your SaaS with homegrown software, even though I expect many of you will. That is 2015 thinking dressed up in AI clothes. Bring every AI model your company needs inside the tent. Frontier models. Domain models. Coding tools. Assistants. Economic models. Medical models. Relationship graphs. Materials science. Learn to use them, fine-tune them, stitch them together. Intelligence is the substrate. The old apps get pulled out along the way. Sort your application inventory by data gravity, not by spend. Latham bought Nvidia servers to keep sensitive client data off the cloud. Custom software is not in the CVE lists, the technographic databases, or the shodan scan. Attackers scanning widely deployed platforms cannot automate discovery against something only you run.<\/p>\n If you run a board or a leadership team.<\/strong>\u00a0Do not confuse a partnership announcement with a strategy. Do not confuse a stock rally with a thesis change. Do not confuse a $2.7 billion equity markup on a private supplier with an earnings beat. The right posture is an honest read of where your company sits inside the squeeze and a plan to move before the plan gets made for you. Read\u00a0Infinite Leverage,\u00a0What an AI-First Company Actually Does, and\u00a0Your Buyer Has a Process\u00a0for the operating detail.<\/p>\n Benioff called for the nonsense of the SaaSpocalypse to stop. Dreamforce 2026 may be remembered as the day it actually began.<\/p>\n<\/blockquote>\n The death spiral takes several quarters to run in full, as buyback fuel burns off, replacement buyers ship, and debt service compounds. That is already in motion. This is what a private-equity capital structure without a private-equity growth engine looks like when the market stops giving it the benefit of the doubt.<\/p>\n Intelligence is the substrate. Airtable tells you where the seats end up. This is the last easy time to reposition.<\/p>\n The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of <\/em>Fortune.<\/em><\/p>\n Stephen Messer writes every week on the AI economy and what it does to how companies actually run.\u00a0Subscribe here\u00a0if you want them in your inbox. <\/figurlazyload><\/div>\n #SaaS #debt #trap #Fortune<\/p>\n","protected":false},"excerpt":{"rendered":" Last week the debate was wheth… <\/p>\n","protected":false},"author":1,"featured_media":5098,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[373,133,166,2437,8166,3656],"class_list":["post-5097","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-finance-news","tag-debt","tag-fortune","tag-markets","tag-saas","tag-software-as-a-service","tag-trap"],"yoast_head":"\nThe substrate has only hardened<\/h2>\n
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The buyback was the strategy. Claudeforce was the packaging.<\/h2>\n
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The rest of the category is running the same play<\/h2>\n
![\"\"\/](\"https:\/\/storage.ghost.io\/c\/eb\/8a\/eb8afca5-199d-47e6-b51d-489d6bb46893\/content\/images\/2026\/09\/IMG_7232.jpg\")
<\/div>\n
Five examples that were unthinkable a few months ago that matter for this story.<\/h2>\n
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You do not have to take my word for it<\/h2>\n
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Dreamforce was the tell<\/h2>\n
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So what are they worth, Airtable is the floor<\/h2>\n
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\n \nCompany<\/th>\n FY26 revenue<\/th>\n Operating floor (2.68x EV, adj for debt\/cash)<\/th>\n Equity floor (4.7x)<\/th>\n Current market cap<\/th>\n Range to floors<\/th>\n<\/tr>\n<\/thead>\n \n Salesforce<\/td>\n $41.5B<\/td>\n ~$86B (net of $25B debt)<\/td>\n ~$195B<\/td>\n ~$234B<\/td>\n 17% to 63% down<\/td>\n<\/tr>\n \n ServiceNow<\/td>\n $15.8B<\/td>\n ~$48B (+ net cash)<\/td>\n ~$74B<\/td>\n ~$146B<\/td>\n 49% to 67% down<\/td>\n<\/tr>\n \n Adobe<\/td>\n $26.6B<\/td>\n ~$72B (+ net cash)<\/td>\n ~$125B<\/td>\n ~$107B<\/td>\n 14% below friendly; 33% down to operating<\/td>\n<\/tr>\n \n Workday<\/td>\n ~$10.5B<\/td>\n ~$29B (+ net cash)<\/td>\n ~$49B<\/td>\n ~$45B<\/td>\n 8% below friendly; 36% down to operating<\/td>\n<\/tr>\n \n HubSpot<\/td>\n ~$3.7B<\/td>\n ~$11B (+ net cash)<\/td>\n ~$17B<\/td>\n ~$12B<\/td>\n 29% below friendly; 8% down to operating<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n \n
What to do about it<\/h2>\n
The reckoning has already started<\/h2>\n
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