Is AI “Eating” Software?

For the last 15 years, one mantra has dominated Silicon Valley and Wall Street alike: “Software is eating the world.”

Coined by venture capitalist Marc Andreessen in 2011, this idea served as the foundation for a golden age of capital allocation. It drove the rise of the Software-as-a-Service (SaaS) model, minted trillion-dollar valuations, and convinced investors that every business problem, from accounting to HR to sales, could be solved by a monthly subscription. The thesis was simple: software was the predator, disruption was inevitable, and if you bought the basket of high-margin tech stocks, you would win.

But this week, that narrative didn’t just feel like it cracked; it seemed to shatter.

Software (IGV)
SaaS

We are witnessing a rapid selloff in the software sector, suggesting the era of effortless software hegemony might be over. The market is no longer pricing software as the predator; it is pricing it as the prey. The central conflict has inverted as the industry that once disrupted everything is now being cannibalized by Generative AI, the very tool it spent the last three years trying to integrate.

However, before we write the obituary for the entire SaaS industry, we need to separate the market’s immediate panic from the long-term reality. Is software actually dead, or is it just being forced to evolve faster than investors are comfortable with?

Here is a quick look into the “SaaSpocalypse,” the specific catalyst that triggered this week’s rout, and why the future of the digital economy is suddenly up for grabs.

When “Helpful AI” Became “Replacement AI”

The erosion of the software “moat” has been a slow burn for about a year, but it reached a breaking point this week. The trigger was the release of Anthropic’s Claude 4.5 Opus and its new “Cowork” agent plugins.

To understand why the market freaked out, you have to understand the difference between a “Copilot” and an “Agent.” Until now, the AI narrative has been about Copilots, tools that help a human use software more efficiently. You still need the Salesforce dashboard, the Adobe interface, or the legal research platform, but the AI helps you navigate it. The software remains the main course, while the AI is the side dish.

However, Anthropic’s release signaled a transition to Agentic AI. These are no-code tools that can execute complex workflows end-to-end without a traditional software interface. They don’t want to help you use the software; they want to do the actual work.

The market reaction was swift, brutal, and highly specific. Legal service providers were the first to bleed. Stocks like LegalZoom (LZ) and Thomson Reuters plunged 20% and 15%, respectively, as investors realized that Claude’s legal plugin could automate contract review, NDA triage, and compliance workflows. These were once the bedrock of these companies’ value propositions. The fear is simple: if an AI agent can read, redline, and finalize a contract directly, why do I need to pay for a bloated software subscription to manage the process?

It was a “get me out” style of panic selling. In this new era, investors are terrified that AI is the pin popping a decade-long valuation balloon.

A Historic Warning

If we look at the charts, the damage is statistically extreme. The iShares Expanded Tech-Software Sector ETF (IGV), a primary proxy for the industry, is currently trading a staggering 17% below its 50-day moving average. At the same time, the broader S&P 500 remains comfortably above its own trendline.

This level of decoupling is incredibly rare. In fact, similar instances were recorded only around the start of the 2002 Dot-Com collapse and the 2022 rate-hike panic.

Despite this carnage, valuation support remains a distant hope. The IGV’s aggregate price-to-sales (P/S) ratio still sits at approximately 8.0x. For context, that is higher than the 6.0x trough seen at the lows of the 2022 selloff. This suggests that even after the drop, software stocks are still priced such that they could see further weakness before buyers arrive. Moreover, history warns us that this kind of software weakness often serves as a canary in the coal mine, a prelude to broader market volatility rather than a screaming buy signal.

Software vs. S&P 500
SaaS

Perhaps it’s not all bad news, though. In the past, when IGV traded more than 3 standard deviations below its 50-day moving average (where it is now), it has generally performed well over 3-month to 1-year time frames. In fact, each of the 15 times this has happened previously, IGV has been higher the year later. And not only was it higher 100% of the time, but it also averaged a 25% return over those years. That is nearly double the fund’s average 1-year return since 2001.

Evolution, Not Extinction

Now, let’s take a breath and look at the other side of the coin. Is AI really going to kill software?

The market is pricing in a “zero-sum” game in which AI entirely replaces software. But that view might be too simplistic. It is highly likely that the incumbent software giants will adapt. Companies like Salesforce, Microsoft, and Adobe possess something that AI startups do not: proprietary data and entrenched distribution.

An AI model is only as good as the data it can access. If all your customer data, sales history, and workflow logic live inside Salesforce, you can’t just switch it off and let a generic AI agent take over. The “switching costs” are still likely to be high.

What is more likely to happen is an evolution. Software companies will likely become “AI wrappers” or infrastructure layers. They will integrate these agents into their own platforms, charging you for the AI output rather than the software seat. The “SaaS” model (paying for access) might die, but it could be replaced by a “Service-as-a-Software” model (paying for results).

However, even in this optimistic scenario, the transition may be tough. Profit margins will likely compress as software companies are forced to spend billions on the computing power needed to run these AI models. Which means the days of 90% gross margins are likely over, even if the companies themselves survive.

The Bottom Line

The traditional SaaS model relied on locking you into a workflow and charging you per user. That model is under siege. If an AI agent can build, maintain, and operate its own software ecosystem, the pricing power of traditional software evaporates.

But does this mean the end of the software industry? Unlikely. It means the end of bad software companies that relied on sales and marketing rather than engineering innovation. It means the end of bloated valuations for companies that don’t offer unique insights.

The question facing every board of directors is no longer “Which software should we buy?” but “How much of this software layer is actually necessary?” In a world where AI can code its own solutions, the “SaaS” model as we know it might just be the next horse-drawn carriage, but the companies that figure out how to sell the engine will still make a fortune.

Markets / Economy

  • Markets were mixed this week, as weakness in technology was offset by gains in energy and industrials. The S&P finished the week down -0.1%, the Nasdaq down -1.8%, and the small-cap Russell 2000 up 2.2%.
  • The ISM Manufacturing PMI for the U.S. unexpectedly rose to 52.6 in January from 47.9 in December, well above the 48.5 forecast. The reading showed that economic activity in the manufacturing sector expanded in January for the first time in 12 months, the most since 2022.
  • Initial jobless claims rose by 22K from the previous week to 231K in the last week of January, sharply above market expectations of 212K. This marked the highest magnitude of initial claims in nearly two months.
  • A quick follow-up to our email a few weeks ago about Silver. The metal has once again lived up to its name as “The Devil’s Metal,” as its low price this week was down almost -50% in the last six days!

Stocks

  • U.S. equities were in negative territory. Communication Services and Consumer Discretionary led the decline, while Consumer Staples and Industrials outperformed. Value stocks led growth stocks, and small caps beat large caps.
  • International equities closed higher for the week. Developed markets fared better than emerging markets.

Bonds

  • The 10-year Treasury bond yield decreased 3 basis points to 4.21% during the week.
  • U.S. bond markets were in negative territory this week while International bond markets were negative.
  • Government bonds led for the week, followed by corporate bonds and high-yield bonds.
Weekly Market Data

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