An exceptionally brutal day on Wall Street. Software names getting hit again today after the sell-off yesterday amid these fears of AI disrupting the industry. Software stocks are seeing one of their worst declines in recent history, but almost no one is explaining the real reason why, which is crazy because what’s happening right now will reshape our lives over the next few years, especially if you own any software stocks or your job involves a computer. This isn’t just another tech stock sell-off. It’s a massive shift that will make some investors very rich and crush the portfolios of everyone who chose to ignore it. So in this video, I’ll walk you through the SaaSpocalypse, the agentic AI breakthroughs that triggered it, and where to invest to get rich without getting lucky.
Table of Contents
1. Introduction
2. SaaSpocalypse
3. Agentic AI
4. Investment Opportunities
Your time is valuable, so let’s get right into it. First things first, it’s totally normal to feel anxious if you’re watching your stocks get hammered while the mainstream media says that software is dead. But this is exactly the kind of moment that creates huge opportunities for investors who slow down, take the time to understand what’s happening, and make moves based on facts and data while the rest of the market panics. That’s exactly what this video will help you do. And I’ll break it down into four parts.
First, what actually triggered this meltdown in software stocks? Second, which companies are the most at risk? Third, how bad things could actually get for them? And finally, which stocks are set to win big as a result? But let’s start with what’s causing software stocks to crash in the first place. On January 30th, Anthropic quietly shipped a legal plugin for Claude Cowork, which is essentially a 200-line open-source text file that tells Claude how to review contracts, analyze non-disclosure agreements, compare clauses according to a legal playbook, and draft compliance summaries.
Basically, this free prompt and workflow does the kind of routine legal work that law firms usually hand to junior associates and paralegals that use giant and inexpensive online platforms for research like Westlaw and LexisNexis. Within days of this Claude plugin going live, software as a service stocks collectively lost almost $300 billion in market cap, including companies that many of us use and invest in, like Adobe, Salesforce, ServiceNow, HubSpot, and Intuit, which is why this sell-off is being called the SaaSpocalypse. But here’s what actually changed, and this is the part that almost everyone is missing.
After this plugin and other AI agents showed that they could chew through routine document work, KPMG, which is one of the big four global accounting firms for many of the world’s largest companies, turned around and told their own auditor, Grant Thornton UK, that if AI is making audits cheaper and faster, they shouldn’t be paying 2024 prices anymore. And if it isn’t, they’ll find a firm where it is. So KPMG explicitly used AI as leverage and enforced a 14% cut on their six-figure auditing fees overnight. This dynamic is about to repeat everywhere, because once a client can point to an AI workflow that clearly reduces time and people needed for a service, they won’t just renegotiate that new AI add-on. They’ll renegotiate the entire core contract.
And that’s where the classic pay-per-software seat and pay-per-billable-hour model really starts to break. And that’s just the beginning, because agentic AI workflows have made some massive breakthroughs in just the last few weeks. First, AI agents aren’t just fixing typos in code anymore. They’re shipping serious, production-grade software on their own. Anthropic ran an experiment where they spun up a swarm of 16 Claude Opus 4.6 AI agents, pointed them at a blank codebase, and told them to build a C compiler in Rust, which is a core piece of critical software.
Over about two weeks, those agents wrote around a hundred thousand lines of code that can run a mainstream operating system, handle popular real world apps like databases and video tools, and passes almost all the standard stress tests that you’d expect from some serious infrastructure software, all for only around $20,000 in AI spend. This would have taken a human team around a year and cost over a million dollars once you include benefits, management overhead, and so on. The key to making this all possible is something called needle in a haystack retrieval. Opus 4.6 can scan a million tokens of text and still pull out the right snippet about 76% of the time, which is roughly three times better than the next best model.
In plain English, it can hold around 50,000 lines of code in its head and reason about how all the pieces fit together, the way a senior engineer who built the system from day one would, not like a new developer skimming through it for the first time Just one year ago getting an AI model to code for 30 minutes without falling apart was impressive Now we have swarms of AI agents running for two weeks straight and doing work that you’d normally hire a whole team of senior systems engineers for. And once that’s possible, SaaS companies charging premium prices just to support their massive headcounts starts to look a lot less attractive.
According to MarketUS, the global artificial intelligence market is expected to almost 19x in size over the next nine years, which is a compound annual growth rate of 38.5% through 2034. But many of the companies building next-generation AI applications are not publicly traded. Think about the 90s and early 2000s. Companies like Amazon and Google went public very early in their growth cycle, but today, they’re waiting an average of 10 years or longer to go public.
Rakuten, the online shopping and rewards platform, plugged claudopus 4.6 into their engineering issue tracker and it closed 13 tickets by itself and reassigned another 12 to the right developers across a 50-person team working across six different code bases, all in a single day. Just to be clear, it didn’t help close out 13 tickets, it wrote the code, tested it, and pushed it to production by itself. When it came to assigning the other tickets, it checked the backlog, decided who should tackle what, and even knew when to escalate a decision to a human instead of guessing.
On the security side, anthropic dropped opus 4.6 into a sandbox that was connected to developer tools and asked it to look for problems in open source software, without telling it how to do security research, and it still surfaced over 500 previously unknown high impact vulnerabilities. That’s the kind of work you’d normally give to expensive security consultants. For investors, the big takeaway is that ai agents aren’t just helping human knowledge workers, they’re starting to replace entire layers of mid-level coordination and analysis that today’s software as a service businesses are built on.
Here are some key points to consider:
- Software stocks are experiencing a significant decline due to the rise of agentic AI.
- Agentic AI is a type of AI that can perform tasks that typically require human intelligence, such as coding and contract review.
- Companies that are most at risk are those that rely on human labor for tasks that can be automated by AI.
- Investors should consider investing in companies that are developing and implementing agentic AI solutions.
- The global artificial intelligence market is expected to grow significantly over the next nine years.
Here are some companies that are well-positioned to benefit from the growth of agentic AI:
- Nvidia: A leader in the development of AI chips and software.
- AMD: A major competitor to Nvidia in the AI chip market.
- Broadcom: A company that specializes in networking and storage solutions for AI applications.
- Amazon, Microsoft, and Google: Cloud providers that are investing heavily in AI infrastructure.
- Palantir: A company that provides AI-powered data integration and analytics solutions.
According to Elon Musk, “AI is a fundamental risk for the existence of human civilization.” However, many experts believe that AI also has the potential to bring about significant benefits, such as improved productivity and efficiency.
“The future of AI is not about replacing humans, but about augmenting human capabilities.” –
Andrew Ng
To better understand the impact of agentic AI on the software industry, let’s take a look at the following table:
| Company | Industry | Risk Level |
|---|---|---|
| Adobe | Software | Low |
| Salesforce | Software | High |
| Palantir | Software | Low |
Frequently Asked Questions
What is agentic AI?
Agentic AI refers to a type of artificial intelligence that can perform tasks that typically require human intelligence, such as coding and contract review.
How will agentic AI affect the software industry?
Agentic AI is expected to significantly impact the software industry, particularly companies that rely on human labor for tasks that can be automated by AI.
Which companies are most at risk?
Companies that are most at risk are those that rely on human labor for tasks that can be automated by AI, such as Salesforce and HubSpot.
How can investors benefit from the growth of agentic AI?
Investors can benefit from the growth of agentic AI by investing in companies that are developing and implementing agentic AI solutions, such as Nvidia and Palantir.
What is the expected growth rate of the artificial intelligence market?
The global artificial intelligence market is expected to grow at a compound annual growth rate of 38.5% over the next nine years.
For more information on agentic AI and its impact on the software industry, please visit MarketWatch or Forbes.
Expert opinions on the topic of agentic AI and its impact on the software industry can be found in the following articles:
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