My portfolio is bleeding from the SaaS selloff. I spent a week researching whether this is a buying opportunity or a value trap. What I discovered shocked me!
# SaaS stocks just had their worst plunge since 2008. But the earnings reports tell a completely different story
If you are like me, my portfolio is getting BURNED from the tech SaaS sell-off.
The IGV hit a 52-week low of $73.93, roughly 37% below its recent peak of $117.99. [The IGV cratered more than 24% in Q1 2026, its steepest quarterly plunge since Q4 2008, and short-selling volume across single stocks hit the highest level Goldman Sachs has recorded since 2016.](https://www.thestreet.com/investing/stocks/goldman-sachs-drops-a-bombshell-on-software-stocks) This is not a rotation story. It is a genuine question that Wall Street has been asking louder with every passing week: if AI agents can do the work, why are we still paying for the software?
The fear has a specific origin. On February 24, 2026, Anthropic launched Claude Cowork, a product that demonstrated AI agents performing sustained, autonomous knowledge work across legal document review, financial analysis, customer support triage, and project management, precisely the categories where SaaS companies had built their moats.
The numbers behind the fear are hard to ignore. HubSpot has fallen 39% this year following a 42% slump in 2025. Figma has plunged 40%, Atlassian is down 58%, and Shopify has dropped 18%. Adobe, Salesforce, and ServiceNow have all seen their shares slide roughly 30% to 35% so far this year, even as these companies have continued reporting relatively strong results.
# Why was there a crash in SaaS stocks?
Well, the market is not pricing in a confirmed collapse of enterprise software. It is pricing in deep uncertainty about which companies survive the transition to an agentic world.
# Performance of SaaS companies and my OWN portfolio
[See images of SaaS companies' stock price vs revenue (i pasted the pics in google docs)](https://docs.google.com/document/d/1k1uFin5376zhjqQwyBmksgIP6G3a4YM1buMi5PiUFR8/edit?usp=sharing)
(Charts are created with [TradingView.com](http://tradingview.com/))
I believe in Warren Buffett's philosophy: "Be fearful when others are greedy and greedy when others are fearful." (That's a mindset that shapes how I manage my own emotions during volatility).
Instead of panic-selling, I charted a few SaaS stocks against their actual revenue figures and my reaction was genuinely "WHAT THE HACK?!"
Despite the IGV ETF collapsing over 28% this year, the underlying revenue growth at most of these companies is still trending up. Stock prices down. Revenue up. The market appears to be pricing in a doomsday scenario that the fundamentals have not confirmed yet.
***So is this a buying opportunity or a genuine SaaSpocalypse? That is exactly what I set out to answer in this post.***
# Who are the winners/losers from this investment narrative
I was curious as to know how this investment narrative move markets and who would be the winners, losers and are there any investment opportunities that the market is overlooking are not yet priced in the market. I outline my research below:
(This is STRICTLY not financial advice, this maps how the narrative historically affects each sector and sub-industry.)
**Winners:**
**1. Cloud infrastructure (e.g. AWS, Azure, Google Cloud)**
While enterprise SaaS companies are being repriced down, the infrastructure layer underneath them is seeing demand accelerate. [Amazon leads with $200 billion in planned capex for 2026, with the bulk directed at AWS AI infrastructure. Alphabet doubled its guidance to $175–185 billion, while Microsoft is tracking toward $120 billion or more in fiscal 2026](https://tech-insider.org/big-tech-ai-infrastructure-spending-2026/). The five largest US cloud and tech companies have [collectively committed between $660 and $690 billion to AI infrastructure in 2026](https://futurumgroup.com/insights/ai-capex-2026-the-690b-infrastructure-sprint/), nearly double the prior year, driven by a shared conviction that AI workloads will consume every available unit of compute capacity. The mechanism here is straightforward: whether enterprises replace SaaS tools with AI agents or keep them, those agents need to run somewhere. The compute layer wins regardless of which software companies survive.
**2. Cybersecurity (e.g. CrowdStrike, Palo Alto Networks)**
When I heard about the release of openclaw and how you could download it into your laptop which empowers you an AI assistant that works alongside with you. Productivity definintely will be increased greatly, but what about security? Giving an AI agent full access to your laptop is no joke if it messes up, leaking sensitive data?
Every AI agent introduced into a corporate environment is also a new attack surface. Global cybersecurity spending is projected to reach roughly $248 billion in 2026 as organisations accelerate investment in response to escalating AI-driven threats, and [every Fortune 500 CIO survey published this year ranks cybersecurity as a top-two budget priority.](https://www.gartner.com/en/articles/top-cybersecurity-trends-2026) CrowdStrike dominates cloud endpoint security with a 97% gross retention rate that points to genuine switching costs. Cybersecurity is also one of the few areas where the "AI as competitor" fear largely inverts, AI agents are the threat, and these companies are selling the defence against it.
**Losers:**
**1. Seat-based CRM and workflow automation (e.g. Salesforce, HubSpot, ServiceNow)**
These are the stocks at the centre of the selloff, and for a structurally sound reason. The more immediate and dangerous mechanism is not AI replacing the software itself, it is AI reducing the headcount that uses the software. As SaaStr's Jason Lemkin put it, [if 10 AI agents can do the work of 100 sales reps, you do not need 100 Salesforce seats anymore. You need 10. That is a 90% reduction in seat revenue for the same work output](https://ai2.work/blog/the-2026-saas-apocalypse-why-wall-street-is-dumping-software-stocks). Atlassian dropped 35% after quarterly earnings showed enterprise seat count declining for the first time in the company's history. [Salesforce fell 28% despite revenue growth, as investors shifted focus from top-line numbers to declining net-new customer acquisition](https://www.digitalapplied.com/blog/saaspocalypse-ai-agents-software-industry-analysis). The companies are still generating revenue, but the pricing model that justified their valuations for two decades is now structurally suspect.
(Seat\* refers to single user licence for each employee to use the software)
**2. General-purpose workflow tools (e.g. Atlassian, Asana, Notion-tier tools)**
In April 2026, [sales automation sits well below the broader SaaS average on valuation multiples](https://multiples.vc/insights/software-saas-valuation-multiples), as generative AI threatens to fundamentally replace traditional CRM workflows rather than augment them. The mid-tier productivity tools are arguably more exposed than the enterprise giants.They lack the deep data moats and integration lock-in that companies like Salesforce have built over 20 years, yet they charge on the same per-seat model. [Gartner predicts that 35% of point-product SaaS tools will be replaced by AI agents by 2030](https://greyjournal.net/hustle/work-tech/ai-agents-replacing-saas-stack-2026/), and it is the narrower, single-purpose tools that will feel this first.
**Catchup Plays (Where the turnaround investment opportunity lies)**
Right now the market is treating every SaaS stock the same way. As long as you are a SaaS, BAAMMM , your stock is down.. BADDDD.
However, i dont believe all SaaS stocks are losers just because AI agents are here, i strongly believe the market is mispricing some SaaS names, but whether that's an opportunity depends entirely on your own thesis, time horizon, and risk tolerance.
I read an [article by Barron’s](https://www.barrons.com/articles/software-stocks-buy-microsoft-salesforce-76cd7ecc) stating that investors are only partially right about how software companies will be victimized by artificial intelligence. And for a SaaS stock to turn around, they outline 2 factors.
1. [“Software companies must help customers incorporate agents from OpenAI, Anthropic, and others into their products.”](https://www.barrons.com/articles/software-stocks-buy-microsoft-salesforce-76cd7ecc)
2. [“Software makers must show investors that they can use AI themselves to deliver growth with steady or falling head count. That means delivering big upside earnings surprises, especially because upside revenue surprises could be harder to come by.”](https://www.barrons.com/articles/software-stocks-buy-microsoft-salesforce-76cd7ecc)
As the article notes, "***software companies are actually in the best position to benefit from the AI revolution because their costs are software development, which can now be done 10 times more efficiently.***”
Here are some tips outlined in the article on how to find these “turn around” opportunities:
1. Start with companies that can continue to produce excellent growth this year, demonstrating that they’ve traded down unfairly with the group.
2. Then there are companies that can use AI to cut costs
I don’t think all SaaS companies will be replaced by AI agents, in fact, some will BENEFIT from it. One good example is Figma, [Figma hit $1.056 billion in revenue for full-year 2025, a 41% increase year-over-year.](https://www.macrotrends.net/stocks/charts/FIG/figma/revenue) This is not a company in decline. Net dollar retention was 136% as of Q4 2025, meaning existing customers are spending more, not running away. Figma isn't being disrupted by AI agents: **it's become the platform they run on.** [Figma opened its canvas to AI agents in March 2026, allowing them to write directly to Figma files using the design system, creating components, applying variables, and building brand-aligned designs using real structure, not just pixels](https://www.figma.com/blog/the-figma-canvas-is-now-open-to-agents/). Claude Code, Codex, Cursor, they all work *inside* Figma now.
*(Im not giving Figma as a stock recommendation, im using it as an illustration and these are just my views. Please do your own due diligence before investing any of your own money)*
# What I’m watching
Below i outline a few key market events that will affect and may change the SaaS sell-off narrative. These are the key events worth monitoring if you are in the SaaS investment game.
1. **Microsoft Q3 FY2026 Earnings (April 29, 2026)**
[Microsoft will publish its fiscal Q3 2026 results after market close on Wednesday, April 29](https://news.microsoft.com/source/2026/04/08/microsoft-announces-quarterly-earnings-release-date-67/). This report matters more than any other event for the software selloff thesis, because Microsoft sits at the exact intersection of every force driving it, it is simultaneously a cloud infrastructure winner, a Copilot AI monetisation story, and a legacy enterprise software company that is itself supposed to be eating its own SaaS competitors' lunch.
Investors will be watching closely whether accelerating AI adoption can offset concerns around moderating cloud growth and heavy AI-related spending. [The key focus areas will include Azure growth as additional AI capacity comes online, early traction in Copilot monetisation, and the stability of non-AI segments that underpin free cash flow.](https://finance.yahoo.com/markets/stocks/articles/microsoft-eyes-ai-execution-azure-162700759.html)
1. **ServiceNow Q1 2026 Earnings (April 22, 2026)**
ServiceNow is important for two reasons: it is one of the most shorted software names in the current selloff, and its core business, IT workflow automation, is precisely what AI agents are supposed to be replacing.
ServiceNow significantly beat Q4 expectations, accelerated net new business, and its Q4 subscription revenues hit $3.47 billion, representing 21% year-over-year growth. [CEO Bill McDermott stated there is "no AI company in the enterprise better positioned for sustainable profitable revenue growth."](https://www.sec.gov/Archives/edgar/data/1373715/000137371526000005/erq4fy25.htm) The question is whether that confidence translates into Q1 numbers, or whether enterprise buyers have started quietly pulling back on new seat growth.
If ServiceNow reports subscription revenue growth above 20% with expanding remaining performance obligations, it directly contradicts the seat-compression narrative and puts pressure on short sellers. The stock has already fallen 32% year to date, so a clean beat could produce a violent short squeeze.
3. **A New AI Agent Product Launch from Anthropic or OpenAI**
If Anthropic or OpenAI announces a major new autonomous agent capability targeting a mainstream enterprise workflow category- HR, finance, sales operations- in the next 30 days, expect an immediate and indiscriminate selloff across software names regardless of fundamentals. The market has repeatedly shown it reacts first to capability announcements and asks questions about monetisation later.
# Final Words
So, is this a buying opportunity or a SaaSpocalypse?
Honestly, it is probably both: depending on which company you are looking at.
The fear driving this selloff is real and structurally grounded. The per-seat model that powered two decades of SaaS growth is under genuine pressure, and any company that does not adapt its pricing and product around AI agents in the next 12 to 18 months deserves the valuation it gets. I am not dismissing the bear case.
But what I keep coming back to is this: the market right now is treating every SaaS stock as if it is the same company facing the same existential threat. It is not. A generic task-tracking tool with no data moat and no AI roadmap is in a fundamentally different position from a platform like Figma, which has opened its canvas to AI agents and is actively becoming the infrastructure they run on. These are not the same bet.
The charts I shared earlier tell the real story. Revenue is growing. Earnings are holding up. What has collapsed is the market's willingness to pay a premium for uncertainty and when sentiment eventually recalibrates back toward fundamentals, the gap between price and underlying performance will need to close somewhere.
Warren Buffett's line about being greedy when others are fearful is easy to quote and genuinely hard to act on. Sitting in a position that is down 30% while every headline says the whole sector is dead requires a specific kind of conviction one that has to be built on research, not hope. That is why I spent time charting revenue against price, reading the earnings calls, and understanding exactly what the AI displacement mechanism actually is before deciding whether this is a dip or a cliff.
In the next few weeks I’ll be watching both Microsoft and ServiceNow earnings calls closely.
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**PS: I’ll continue to write updates on many investment narratives like this. So if you’d like to keep yourself updated on and find more investing opportunities, you may follow my Reddit account.**
I took quite a bit of time to research and piece all of the content together. Hope you found it helpful.
Cheers!!!
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*I'm a retail investor sharing my own research process, not a licensed financial advisor. I hold positions in some stocks mentioned. Nothing here is financial advice. Please do your own due diligence.*