SaaSpocalypse

AI isn't just changing software. It's replacing it. Today we're launching The SaaSpocalypse — a newsletter tracking which companies survive AI disruption, which die, and where the money is flowing. Here's what we're watching 🧵

This is the real SaaS threat vector nobody's pricing in. Full-stack apps from prompts means the $232B SaaS market isn't competing with other SaaS anymore — it's competing with every developer who can type a sentence. $NET CEO said yesterday AI bot traffic will surpass human traffic by 2027. Google just proved why — agents building full-stack apps will generate orders of magnitude more API calls, queries, and infrastructure load than humans ever did. The companies that survive are the ones powering agent infrastructure, not selling seats.

We’re launching a brand new, full-stack vibe coding experience in @GoogleAIStudio, made possible by integrations with the @Antigravity coding agent and @Firebase backends. This unlocks: — Full-stack multiplayer experiences: Create complex, multiplayer apps with fully-featured UIs and backends directly within AI Studio — Connection to real-world services: Build applications that connect to live data sources, databases, or payment processors and the Antigravity agent will securely store your API credentials for you — A smarter agent that works even when you don't: By maintaining a deeper understanding of your project structure and chat history, the agent can execute multi-step code edits from simpler prompts. It also remembers where you left off and completes your tasks while you’re away, so you can seamlessly resume your builds from anywhere — Configuration of database connections and authentication flows: Add Firebase integration to provision Cloud Firestore for databases and Firebase authentication for secure sign-in This demo displays what can be built in the new vibe coding experience in AI Studio. Geoseeker is a full-stack application that manages real-time multiplayer states, compass-based logic, and an external API integration with @GoogleMaps 🕹️

This is the SaaSpocalypse pattern — single product launches nuking entire verticals. $ADBE down ~40% from its 2024 highs at $246 today. $CRM sitting at $195, down ~30% from peak. The market is repricing every software name with AI substitution risk. And the speed is accelerating. Took Google one blog post to wipe $2B off Figma. Took Anthropic one Claude update to make half the cybersecurity dashboard market redundant. Software moats used to take decades to build. Now they evaporate in a news cycle.

Google crashed figma’s stock -10% with 1 AI product. thats $2B wiped out. graphic designers cooked. anthropic, openai did the same thing to cyber security companies (-30%), legal firms (-35%), financial analysts, software engineers… entire professions are being consumed by 2-4 companies with every feature update. very quickly too. genuinely insane to watch

Fill out your bracket accordingly.

@elonmusk Transparency is becoming a competitive advantage.

Major update to the 𝕏 AI recommendation algorithm rolling out next week. This will be open sourced at the same time.

@Tesla This is what most people miss about Tesla's AI moat. The real question: which SaaS platforms survive when companies that own their AI stack stop buying middleware?

We – design the chips & hardware – make the cars w/ said hardware – collect real-world data at scale – train the real-world AI model – built (& continue to expand) the massive supercomputer cluster that trains it – deploy AI directly to millions of robots on wheels All that is shared with @Tesla_Optimus for broader applications in both the physical & digital world

This is the infrastructure layer thesis playing out in real time. Jensen Huang at GTC this week: "Every SaaS company will become a GaaS company." Agents don't browse — they consume APIs at machine speed. Gartner says 40% of enterprise apps will embed AI agents by end of 2026. If each agent generates 100x the requests of a human user, $NET is basically selling bandwidth to the fastest-growing "workforce" on the planet. Meanwhile traditional SaaS built for human eyeballs is bleeding out — $NOW 31% below its 200-day MA, $CRM down ~35% from highs. The winners aren't the apps. They're the pipes the agents run through.

$NET CEO Matthew Prince says AI bot traffic is on pace to surpass human internet traffic by 2027. He notes that AI agents can hit thousands of sites for a single task creating far more load than a human user and putting new pressure on internet infrastructure.

This is the infrastructure layer thesis playing out in real time. Jensen Huang at GTC this week: "Every SaaS company will become a GaaS company." Agents don't browse — they consume APIs at machine speed. Gartner says 40% of enterprise apps will embed AI agents by end of 2026. If each agent generates 100x the requests of a human user, $NET is basically selling bandwidth to the fastest-growing "workforce" on the planet. Meanwhile traditional SaaS built for human eyeballs is bleeding out — $NOW 31% below its 200-day MA, $CRM down ~35% from highs. The winners aren't the apps. They're the pipes the agents run through.

The market already agrees with Raoul. $NOW is 31% below its 200-day moving average. $CRM down ~35% from 2024 highs. The entire SaaS index is getting repriced. Jensen Huang said it at GTC this week: "Every SaaS company will become a GaaS company" — software that does the work, not software you log into. Gartner projects 40% of enterprise apps will embed AI agents by end of 2026, up from under 5% in 2025. The reproduction cost of software just went to near-zero. The only moats left are data gravity and workflow lock-in — and agents are designed to bypass both.

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)

Jensen Huang just told the world: "Every SaaS company will become a GaaS company." Translation: software that does the work, not software you log into to do work. Gartner says 40% of enterprise apps will embed AI agents by end of 2026 — up from <5% in 2025. Meanwhile the stocks are pricing it in: $NOW trading at $114, sitting 31% below its 200-day MA $CRM at $194, down ~35% from 2024 highs The market isn't confused. It's repricing the entire per-seat model in real time. Bain mapped 3 layers replacing SaaS: systems of record → agent OS → outcome interfaces. The endgame isn't "AI features inside your CRM." It's agents that never need a CRM at all.

The playbook is clear now: 1. Cut humans (Block -40%, Atlassian -10%, Crypto.com -12%) 2. Redirect savings into AI infra 3. Acquire physical assets to automate $MU just crushed earnings — EPS $12.20 vs $8.79 est, rev +196% YoY. The AI hardware demand isn't slowing down. It's accelerating into every sector.

BREAKING: Jeff Bezos is reportedly in talks to raise $100B for a new fund aimed at acquiring manufacturing firms and automating them with AI, per WSJ.

Context: This week alone, $TEAM cut 1,600 jobs (10%), Block cut 40% of workforce, Crypto.com cut 12% — all citing AI. Now Bezos wants $100B to automate manufacturing too. Jensen at GTC said $1T+ in AI infra orders through 2027. $NVDA at $178 is pricing in that pipeline. The capital is flowing FROM human labor TO AI infrastructure at unprecedented speed.

BREAKING: Jeff Bezos is in talks to raise $100 billion for a new fund that would buy manufacturing companies and use AI to automate them, per WSJ.

It's already happening in slow motion. 45,000+ tech layoffs in Q1 2026. SaaS sector lost $1T+ in market cap since January. JPMorgan halting $5.3B software debt deals. The "pop" won't be one dramatic crash — it's a slow bleed of every company that can't prove why humans should keep paying for what AI does cheaper.

The day the AI bubble pops is gonna be so fucking funny in the most economically damaging way possible

The energy cost argument misses a key nuance: even if AI gets more expensive, it's still cheaper than what it replaces. Meta is cutting 20% of its workforce (~15,000 people) to fund AI infra. The math works at current prices. The real casualties aren't AI companies — it's the SaaS vendors who charged per-seat for work AI now handles for free.

The AI bubble will pop: Electricity will 2x in cost again over the next 24 months. AI companies will need to 5x prices to break even. Companies who depend on AI will see costs 5x and will be screwed. Users will vanish. Market will plummet.

Credit investors are the canary. They saw 2008 before equity markets did. What they're flagging isn't AI spending — it's the $1T+ in SaaS market cap that evaporated since January because per-seat pricing models can't survive when companies need fewer seats. The bubble is real. It's just not where most people think it is.

An "AI bubble” is the biggest concern among credit investors, per Bank of America survey.

Gartner forecast: by 2030, AI will resolve 60% of supply chain disruptions without human intervention. That's not just warehouse jobs. That's procurement software. Logistics platforms. ERP modules. Every SaaS tool that exists because "humans need to coordinate" is on the clock. The disruption isn't coming. It's here.

Bloomberg is asking "Is the AI bubble about to burst?" Wrong question. The bubble isn't AI spending — it's legacy SaaS valuations. 45,000+ tech layoffs in Q1 2026. JPMorgan halting software debt deals. Investors rotating from SaaS into old economy. AI isn't the bubble. It's the pin.

Block cut 40% of its workforce — over 4,000 jobs — to "restructure for AI." Now they're quietly rehiring... 4 people. 10,000 → 6,000 employees. That's the math. Tech layoffs have topped 40,000 in Q1 2026 alone. Companies aren't downsizing. They're replacing. The SaaS workforce is being restructured in real-time.

Classic "sell the news" but the numbers are absurd: $23.86B revenue (+196% YoY), Q3 guide of $33.5B vs $24.3B expected, operating margin 69% vs 62% est. Down 5.5% pre-market on a quarter where they nearly TRIPLED revenue. Market pricing in peak cycle fears, but that Q3 guide says the cycle isn't peaking — it's accelerating.

$MU NOW DOWN OVER 7% 😳

The private credit angle is underreported. UBS flagged last month that AI disruption risk is underpriced in leveraged loans — and private credit is overexposed to software. Meanwhile the numbers keep getting worse: $IGV down ~18% YTD. $TEAM -52%. $NOW -23%. $CRM -23%. $ADBE -26%. BlackRock can't lift what AI is actively compressing. Per-seat pricing is structurally broken when agents replace users.

Can Private Credit and Software Stocks Lift Markets? BlackRock Holds the Key. trib.al/jeKMROz

Careful calling it a dead cat bounce — $IGV is still down ~18% YTD even after that 9% pop. $TEAM is down 52% YTD. $CRM down 23%. The bounce reads more like short covering than fundamental re-rating. AI disruption risk hasn't gone anywhere — 27 software companies now cite AI agents as a competitive threat in SEC filings. That was zero in Q1 2024. The structural headwind is seat-based pricing compression. That doesn't reverse with a geopolitical catalyst.

It's not just Micron tbh it's the entire Tech sector having a gentle Dead cat bouce recently. Like even US software stocks are up 9% since late February The Iran conflict may actually be the catalyst that broke the AI-panic selling loop, when everything correlates to oil, the sectors that AREN'T oil-sensitive manage...! 😅

It is not unusual for a stock like Micron to have a blow off top only to come back a few weeks later.. it is not worth freaking out about...