The day software broke
In February 2026, a new AI release from Anthropic, the company behind Claude, did something that used to take years. It made a whole host of huge companies almost obsolete, practically overnight.
Salesforce, Adobe, and Intuit collapsed. IBM went into free fall. As Keith Kaplan puts it in the TradeSmith presentation, “it’s a whole sector, just swept away and made almost obsolete by AI.”
Kaplan calls it the “SaaSpocalypse,” and it is one of the most concrete examples in the presentation of AI disrupting a specific sector in real time. As we note in our full review, this example is more compelling than the backtest because it is happening right now, not in a simulation.
What happened
Software-as-a-Service companies built their businesses on providing tools that companies needed: customer relationship management, design, accounting, analytics. For two decades, these tools were essential infrastructure for the modern corporation.
AI is replacing them. Not all of them, and not all at once, but enough to matter. When Anthropic released its latest model, it could perform many of the tasks that required dedicated software platforms. You could ask the AI to analyze customer data, generate marketing copy, or reconcile financial transactions, tasks that previously required Salesforce, Adobe, or Intuit.
The stock market reacted immediately. Salesforce dropped. Adobe dropped. Intuit dropped. IBM, which had been positioning itself as an AI company, also fell. The pattern was clear: AI was not just a new technology. It was a direct threat to the software companies that had been the stock market’s darlings for a decade.
The two sides of AI
Kaplan frames the SaaSpocalypse as evidence of a broader divide. “AI is either working for you, or it’s working against you,” he says. For the employees of SaaS companies, AI is working against them. For the investors who used AI to rotate out of SaaS stocks and into the right part of the market, AI was working for them.
The presentation cites Goldman Sachs data showing that 16,000 people per month are losing their jobs to AI. It references one CEO who announced his business was “the strongest it’s ever been” while firing a fifth of his staff, telling the rest to 100x their output with AI. “Other people get all the upside,” Kaplan says. “You get all the downside.”
This is the fear-and-relief pitch that the PRA Top 5 presentation is built on. The fear is that AI will disrupt your industry, your job, or your portfolio. The relief is that the same AI, used as a tool, can help you navigate the disruption.
The Western Digital contrast
The most instructive part of the SaaSpocalypse story is not the crash. It is what Predictive Alpha did while the crash was happening.
Right as SaaS stocks began to collapse, Predictive Alpha issued a buy call on Western Digital, a data-storage company in a completely different part of the market. The stock went up 28% that month. The system then issued further buy calls through November, December, January, February, March, and April. Western Digital went up every single month.
The contrast with Intuit, the accounting software company that collapsed, is the point. While software companies were being disrupted by AI, the hardware companies that store the data AI runs on were thriving. Predictive Alpha saw the rotation in the data before the narrative became clear.
The same pattern held with Lumentum Holdings, an AI hardware company and Nvidia partner. Predictive Alpha issued a buy call on November 1, and the stock went up 50% in a month. Further calls in December and January also produced gains.
What the SaaSpocalypse teaches investors
The SaaSpocalypse is a real-time demonstration of a principle that matters for every investor thinking about AI. The technology does not just create value. It destroys it, selectively, in the companies that fail to adapt.
Pets.com is the analogy Kaplan reaches for. The Internet trend was right. E-commerce was the future. But Pets.com went to zero anyway, because the company could not execute on the trend. “You have to get both the trend and the investment right,” Kaplan notes, “or you make no money.”
The SaaSpocalypse is the AI version of the same story. The AI trend is right. But owning the wrong AI stocks, the ones being disrupted rather than the ones doing the disrupting, can be catastrophic. Salesforce and Adobe are real companies with real revenue, and they still dropped sharply when AI threatened their core business.
The rotation lesson
The broader lesson is about rotation. In a market where AI is simultaneously creating and destroying value, the ability to rotate from the disrupted to the disruptors is the skill that matters. Staying in SaaS stocks while the world shifted to AI infrastructure would have been costly. Rotating from SaaS into hardware and data storage, as Predictive Alpha did, would have been profitable.
This is the argument for an AI-driven rotation strategy over a buy-and-hold approach. In a stable market, buy-and-hold works. In a market where AI is rapidly restructuring industries, the ability to follow the data rather than the narrative is the edge.
Whether Predictive Alpha’s specific rotation calls will continue to outperform is the open question. But the SaaSpocalypse demonstrates that the underlying dynamic, AI creating and destroying value simultaneously, is real, and that being on the right side of the rotation matters.
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