Claude Just Killed Software Stocks (Here’s What Happens Next)

Table of Contents

1. Introduction
2. Software Stocks and the SaaSpocalypse
3. Agentic AI and its Impact on Software Stocks
4. Key Takeaways
5. Frequently Asked Questions

Wall Street just took another beating and honestly, it was rough. Software stocks got hammered again, following yesterday’s rout, as anxiety builds over AI’s threat to the industry. People keep calling it one of the worst crashes for software in years. Yet, weirdly, no one seems to be talking about the real cause. That is wild, since what is unfolding will probably change how we work and invest for years, especially if you own software shares or your job is even remotely tech related.

This is not just another blip for tech stocks. We are talking about a massive shift one that will make some people a fortune and leave others in the dust if they look away. So, here is what I will cover: why the “SaaSpocalypse” started, the AI breakthroughs that triggered it and where investors could actually come out ahead. I know you are busy, so let us dive in.

If you are spooked watching your portfolio tank while headlines scream “software is dead,” that is understandable. Still, these moments tend to set up the biggest chances for investors willing to pause, dig into what is really happening and act on reality, not panic. This video’s here for exactly that reason. I will break it down into four main sections.

We will look at: what caused the software stock carnage, which companies have the most to lose, just how nasty it could get for them and which stocks might actually be poised to win. But first, let us get to the root of this sell off.

Back on January 30th, Anthropic quietly dropped a legal plugin for Claude Cowork. It is basically a 200 line open source prompt that tells Claude how to review contracts, analyze NDAs, compare clauses and even write compliance summaries. It is simple but powerful.

This free workflow can now do the kind of repetitive legal work law firms usually give to junior staff work that often relies on big, expensive research platforms like Westlaw and LexisNexis.

Just days after the Claude plugin appeared, SaaS stocks lost about $300 billion of market value all at once. Names you probably know and maybe even own: Adobe, Salesforce, ServiceNow, HubSpot, Intuit. That is why people are calling this the SaaSpocalypse. But the real kicker? Almost nobody’s discussing what actually changed.

Once these AI tools showed they could chew through routine docs, KPMG (one of the world’s “Big Four” accounting firms) did something bold. They told their auditor Grant Thornton UK, “If AI is making audits faster and cheaper, why are we paying full price?” With that, they slashed six figure auditing fees by 14% overnight. If it is not working, they threatened to find someone who would deliver. This sort of move is not a one off it is about to become the norm. When clients can point to an AI workflow that clearly cuts people and time, they are not just going to haggle over the new AI add on they are going to renegotiate the whole contract. That is when the old pay per seat and billable hour models start really falling apart.

And that is just the start. Agentic AI workflows have made huge leaps in the last few weeks alone. Not long ago, AI agents were mainly fixing code typos. Now? They are building full scale, production ready software by themselves. Here is a wild one: Anthropic had 16 Claude Opus 4.6 AI agents build a C compiler in Rust from scratch a critical bit of software. Over two weeks, those agents produced 100,000 lines of code that runs a mainstream OS, handles big apps like databases and video tools and passes almost all the standard stress tests. All for about $20,000 in AI costs. A human team? That would take a year and blow through a million bucks, easy, once you count overhead.

What made this all possible is something called “needle in a haystack” retrieval. Opus 4.6 can scan a million tokens and pluck out the right one 76% of the time three times better than the next best model.

To put it another way: the AI can “remember” 50,000 lines of code at once, reasoning about the whole thing the way a senior engineer might. Not like a newbie poking through code for the first time. Just last year, if you got an AI to code for 30 minutes without breaking, that was impressive. Now, you have got swarms of agents grinding for weeks, doing work that used to take a room full of senior engineers.

Agentic AI Breakthroughs

• AI agents now ship production ready software with no human in the loop.
• They can recreate generic workflows internally, cutting outside vendors out of the picture.
• Whole middle layers of coordination and analysis gone, replaced by agent teams.
• Teams of agents: two weeks’ work, 2% the time, 2% the cost and suddenly you have got big ticket infrastructure software.
• Managing real teams, triaging bugs, running projects agentic AI can do all that, too.

With all that, SaaS companies that rely on big teams just to justify sky high prices start to look pretty shaky. MarketUS says global AI is set to grow almost 19x by 2034, with a compound rate of 38.5% a year. But, a lot of the up and coming AI companies? You can’t even buy their shares. They are not public. Reminds me some of the dot com era when companies like Amazon and Google went public early. Today, the wait is much longer ten years or more, sometimes, before an IPO.

So, average investors get shut out of the biggest gains from the next Amazon, Google or Nvidia. That is where Fundrise comes in they are sponsoring this video. Their venture capital product lets regular folks invest in top tech companies before they go public. Usually, this world is reserved for the super rich. But with Fundrise, you get exposure to fast growing private AI and data infrastructure firms with as little as ten bucks. They have already put close to $400 million into some of the most in demand companies in the sector. If you want in on late stage tech before IPO, take a look at Fundrise through my link below.

Anyway these agents are not just cranking out code in isolation. They are starting to act like managers, security teams, even project PMs. Rakuten, the e commerce rewards company, plugged Claude Opus 4.6 into its engineering issue tracker. In a single day, it closed 13 tickets by itself and reassigned 12 more to the right developer. That was across 50 engineers and six codebases. No, it did not just “help” close those tickets it wrote, tested and deployed the fixes. It even figured out when to escalate problems to actual humans. Anthropic’s “teams of agents” feature is key here: one lead agent breaks up projects, spins up specialists and coordinates on a shared task board (pending, in progress, completed), with direct agent to agent messages. This is not really a chatbot anymore. It is more like a mini software company living on your machine a PM, a couple engineers and a QA tester, all collaborating at machine speed. Security wise, Anthropic dropped Opus 4.6 into a sandbox with dev tools and asked it to look for vulnerabilities in open source code without telling it how to do security research. The result? It uncovered over 500 high impact bugs no one had spotted. That is hard, expensive work if you hire humans for it. The big point for investors: agents are not just helping knowledge workers they are starting to wipe out entire layers of mid tier analysis and coordination that SaaS firms depend on. Oh and it is not just software companies feeling this. Two CNBC journalists with zero coding background built a working project manager app (think Monday.com) with boards, statuses, calendars and team assignments plus email integrations. By the end, it was grabbing emails, flagging missed invites and unsigned docs and basically acting like a real assistant. Not just another static site.

The craziest part? They did it in under an hour for $15 in compute. So, yeah, agentic AI can now work in swarms, manage real teams, solve hundreds of issues and let non tech folks build their own SaaS knockoffs in an afternoon for the cost of a couple lattes. The market is not just spooked by one legal plugin or some disappointing earnings report.

It is waking up to the fact that a giant chunk of software revenue rests on huge payrolls, basic interfaces and per seat pricing while the whole world is moving to agents, automation and custom built tools. That, right there, is why software stocks are in meltdown mode. Now, let us talk about which companies are in the hot seat. If you made it this far, maybe toss a like and subscribe. It means a lot and it helps me know what to make next.

Most SaaS companies are built on three assumptions. 1) Bundle a bunch of me too features behind a shiny UI. 2) Charge per user seat. 3) Grow by adding more users, not by making each user much more valuable. Agentic AI blows up all three.

One AI agent can do what several people used to or at least roll all their work into one tool so clients need fewer seats. AI lets companies rebuild generic workflows in house, so they will not keep paying for every little thing from outside vendors. And with time, businesses can inject more of their own logic into those agentic setups, skipping the extra app purchases. That is the real reason software valuations are tanking.

The issue is not that software has lost all value, the problem is, markets no longer buy into the per seat pricing formula. Companies most at risk? The ones with endless basic features and a slick UI, charging for every user.

Especially vulnerable: CRMs, project management, marketing and sales tools, helpdesks, simple document generators think Salesforce, ServiceNow, HubSpot, Monday.com, LegalZoom. In short, if a business depends on lots of people clicking through repetitive workflows, it is exposed. And things can slide downhill quickly. Broad software indexes have dropped about 15% in a few weeks. SaaS focused funds are down more than 20% year to date. Forward price to sales multiples have nose dived from around 9x to 6x numbers we have not seen in years. Why? Investors now expect slower growth, lower margins and key workflows either moving in house or getting overhauled by AI.

And here is the kicker: these risks all stack up. If a company cuts prices by 20%, sells 20% fewer seats and sees its sales multiple drop from 9 to 6, that stock’s down 57%. Ouch. Who is not at risk? Companies where the real work, content or data lives on their platform.

For instance, Adobe’s creative suite Photoshop, Premiere, Firefly sits at the center of how brands make graphics, videos and marketing content. Generative AI is built right in, not competing against it.

Or you have got Figma: not just a design tool, but a live multiplayer whiteboard for product teams, with plugins and integrations galore. It is where design decisions happen. Palantir? Their Foundry and AIP platforms are often the operational “source of truth” for enterprises they are built for hosting and controlling AI agents, not being replaced by them.

In other words, these platforms are where the action is. Where work gets done, data created, teams collaborate and agents can actually plug in. AI makes these more valuable, not less. Still, even Adobe, Figma and Palantir have some execution risk. They have to build agent first workflows, ditch pure per seat pricing and prove they can actually boost revenue per customer now that AI is front and center.

So, here is a gut check list: Is the company’s pricing mostly per seat? Could an agent realistically take over multiple seats’ work? Is the main “product” just a UI or workflow layer, not the place where data and files actually live?

If you check all those boxes, that business is probably in the firing line for agentic AI. On the other hand companies that do not check those boxes might end up huge winners from all this. Let us dig into those. If you have been following along, you probably saw this coming I have been shouting about agentic AI for years. That is why I focus on semiconductors, AI infrastructure and AI centric software platforms built on top of them.

These are exactly the kinds of companies set to benefit from breakthroughs in agentic AI. Semiconductors are the chips powering every serious AI agent. As companies swap out human seats for agents, demand for these chips will only grow. Nvidia’s still top dog for AI training and inference, holding more than 90% of the data center GPU market.

Nvidia’s Hopper, Blackwell and Rubin chips, plus their networking and software stack, make it tough for big companies to ditch them. When agent swarms ramp up to full time production, Nvidia’s set to scoop up a huge share of spend. AMD is the main plan B for GPUs cloud providers who want pricing power or a second supplier will turn to AMD.

Broadcom (AVGO) does not focus on GPUs, but on everything around them: high speed networking chips, custom ASICs, switches that connect racks of chips into tight AI clusters. As agentic computing gets more distributed and network speeds become the bottleneck, Broadcom stands to gain they make the chips that keep those big data centers humming. And let us not forget memory.

Agentic AI needs high bandwidth memory on GPUs and giant pools of DRAM for all those racks. Samsung, SK Hynix and Micron stand to benefit as demand for advanced memory goes through the roof. And there is the Taiwan Semiconductor Manufacturing Company (TSMC), which builds chips for Nvidia, AMD and Broadcom.

So, it almost does not matter which chip designer wins the SaaS shakeout TSMC builds them all anyway, plus the chips for hyperscalers like Amazon, Microsoft and Google. Speaking of infrastructure: Amazon, Microsoft and Google control nearly two thirds of the world’s cloud. Each has its own AI agent stack AWS Bedrock, Azure AI and OpenAI for Microsoft, Gemini and Vertex for Google. Every time a company ditches a SaaS tool for an agent, that compute and storage spend flows to these cloud giants. CoreWeave, Nebius and iREN are the upstarts here: smaller, riskier, but building data centers focused on AI, renting GPU time to AI model builders and the cloud giants themselves who need more firepower.

CoreWeave is basically a pure play, backed by Nvidia, focusing solely on AI data centers. Nebius is scaling AI cloud specifically for governments and heavily regulated sectors. iREN is converting its massive energy contracts into dense AI clusters. These are higher risk, higher reward bets than the big cloud providers check my other videos if you want to dig into their specific upsides and risks. Vertiv (VRT) is the “picks and shovels” play they build the power and cooling systems that let hyperscalers, cloud startups and major companies physically set up those red hot, power hungry AI racks. As heat and power demands soar with all these GPUs and ASICs, Vertiv becomes even more central to getting those data centers live. Now, let us talk software. Palantir is positioning its platforms as the “AI operating system” for complicated organizations.

Foundry and AIP sit atop messy, critical data and let customers plug AI into verticals like supply chain, defense, healthcare and energy. In the US, commercial revenue is already jumping triple digits AIP is about deploying AI on live data, not just selling random apps. And do not sleep on CrowdStrike, either. They are evolving into AI focused security, where agents help detect, triage and even resolve threats sometimes on their own, in real time.

CrowdStrike’s Charlotte AI and other agentic features are about to become vital as fleets of agents start poking at sensitive data around the clock no more waiting for humans to clock in. All told, I hope this video gave you a real sense of what is shaking up software stocks, beyond the clickbait. This is why hyperscalers are pouring billions into AI infrastructure. Agentic AI is not just a fad.

This is a fundamental shift one that could make some people seriously wealthy and wreck the portfolios of anyone who refuses to adapt. If you made it all the way here, you know which side you are on. Want to see what else I am investing in? Check out my next video. Either way, thanks for watching until next time, this is Ticker Symbol U. I am Alex and do not forget: the smartest investment you can make is in yourself.

Key Takeaways

• AI agents are taking over jobs inside software companies, which is hitting software stock prices hard.
• The global AI market could grow 19 fold over the next nine years yep, 19 times bigger.
• Semiconductor makers, the infrastructure supporting AI and software platforms built around AI are the likely winners here.
• Companies like Nvidia, AMD and Broadcom look set to ride this AI surge.
• Cloud giants Amazon, Microsoft, Google will capitalize as more AI demand moves to their platforms.

Frequently Asked Questions

What is Agentic AI?

Agentic AI describes systems that tackle tasks by themselves, no human in the loop. They can learn, reason, adapt so they are more flexible and capable than the AI most people are used to.

How will Agentic AI affect the software industry?

Agentic AI will shake up the software sector by replacing jobs humans do today. Expect falling software stock prices and a shift towards companies that are built around AI at their core.

What companies are well positioned to benefit from Agentic AI?

Chipmakers like Nvidia, AMD and Broadcom are in a strong spot to benefit from agentic AI’s growth. The big cloud firms Amazon, Microsoft and Google are also well placed as more AI activity happens in their clouds.