Hey, Reader.
Software stocks didn’t really feel a lot love approaching Valentine’s Day – and no quantity of flowers and chocolate in the present day can change that.
We noticed this in headline after headline…
Final week, Barron’s ran a chunk titled “Palantir Inventory Drops 14% as AI and Software program Pull Again. It’s Having a Horrible 2026.”
On Tuesday, CNBC printed “Monday.com drops 21% as AI disruption fears mount in software program.”
Then on Wednesday, Yahoo Information put out “Unity Software program shares drop sharply on weak first quarter steering.”
Many standard software program names suffered as buyers panicked about their present weak place amid advances in synthetic intelligence. Alternatively, many analysts view the selloff as overblown.
Regardless, the current volatility within the software program sector is, finally, a pure consequence of investing within the frenzied AI market.
That’s why it’s essential to remain as alert as doable.
So, in in the present day’s Sensible Cash, let’s go over why software program shares are nonetheless struggling steep declines. Then, I’ll share how one can maintain your portfolio protected from the selloff.
Let’s dive in…
Software program’s Sweetheart Standing Is Over
Software program-as-a-service (SaaS) corporations have been very worthwhile investments till just lately, due to their breakthrough know-how and highly effective progress profiles. However as AI arrived and quickly superior, many SaaS corporations have seen their valuations deteriorate.
Right here’s why…
SaaS corporations thrived as a result of they constructed extremely scalable, recurring income fashions. As soon as the software program was developed, it may very well be distributed to 1000’s — or hundreds of thousands — of consumers at minimal incremental price.
By shifting companies from one-time license purchases to subscription-based entry, SaaS suppliers generated predictable money movement, excessive margins, and powerful working leverage — a method Wall Road rewarded generously. Now, nevertheless, the economics are altering.
With the development of Agentic AI – notably Anthropic’s Claude Cowork, which may autonomously carry out complicated software program duties – the market is starting to query how a lot of that subscription layer is really indispensable.
If AI can more and more carry out these duties immediately, the worth proposition of many conventional SaaS platforms comes underneath stress.
The sector’s unpopularity turns into much more obvious while you take a look at some corporations’ valuations.
Take Palantir Applied sciences Inc. (PLTR), for instance. Even after struggling a shellacking that has “disappeared” 35% of its market worth since Halloween, its inventory remains to be buying and selling for a lofty 100 instances estimated 2026 earnings.
That wealthy valuation leaves no room for unhealthy information, nor even delicate doubts.
To place it merely, it’s changing into more and more difficult for software program companies to maintain up with the AI developments which will exchange them.
However all hope just isn’t misplaced. As a substitute of attempting to “catch the falling knife” that Saas shares have turn out to be, pivot your consideration, and a few of your capital towards the broad group of shares I name “AI Appliers,” which Tom Yeung mentioned intimately in Thursday’s Smart Money.
Two examples embrace Zimmer Biomet Holdings Inc. (ZBH) and Match Group Inc. (MTCH).
Two AI Appliers – and The place to Discover Extra
Zimmer Biomet applies AI in a spot the place it issues an awesome deal: the working room. The corporate integrates machine studying into surgical planning, robotic-assisted joint alternative, imaging evaluation, and post-operative final result monitoring. Surgeons use Zimmer’s software program to map anatomy, choose implants, and information procedures with higher precision.
This doesn’t exchange Zimmer’s core {hardware} enterprise, it upgrades it. AI makes surgical procedures sooner, extra correct, and extra reproducible. That results in higher affected person outcomes, shorter hospital stays, and stronger surgeon loyalty. Over time, it additionally builds a proprietary knowledge moat: each process feeds the system, enhancing future suggestions.
From an funding perspective, that is textbook “AI utilized to bodily techniques.” Zimmer sells implants, however AI will increase utilization, strengthens switching prices, and helps premium pricing. Hospitals don’t simply purchase gadgets anymore — they purchase built-in surgical ecosystems.
Match Group is a really completely different sort of AI appliers, however it could be the purest consumer-facing AI appliers in your complete inventory market. Throughout all its courting platforms, its AI determines who meets whom, how profiles seem, which conversations get began, and the way security dangers are flagged.
These algorithms immediately drive income. Higher matches improve engagement. Larger-quality profiles enhance retention. Smarter moderation reduces abuse and churn. Each enchancment exhibits up in paid subscriptions and consumer lifetime worth.
Match additionally makes use of AI to personalize prompts, suggest photographs, and coach conversations — successfully appearing as a “digital wingman.” This turns summary machine studying into tangible emotional outcomes: extra connections, extra dates, extra relationships.
In contrast to social media, Match monetizes success. If AI creates higher experiences, customers pay extra and keep longer. That’s unusually clear suggestions between mannequin high quality and monetary outcomes.
Along with these two names, I’ve stocked my Fry’s Investment Report portfolio with a number of AI Applier corporations and different robust AI performs to assist develop and defend your wealth throughout AI’s fixed disruption.
In actual fact, I beneficial a brand-new AI Applier play to my Fry’s Funding Report subscribers simply yesterday. It’s a health-technology platform firm that sits squarely within the candy spot of the AI revolution. It’s an AI Applier hiding in plain sight.
Regards,
Eric Fry

























