David Tepper's Appaloosa Management filed its Q2 13F showing a complete architectural shift in AI exposure — out of the hyperscale infrastructure names that carried the portfolio through 2024 and into application-layer software companies with contracted revenue visibility. The $19.4 billion hedge fund cut its combined position in Amazon, Microsoft, and Alphabet by $1.8 billion, or roughly 63% of prior quarter holdings, while initiating new stakes in six enterprise AI middleware firms including Palantir, Datadog, and ServiceNow. The rotation occurred between April and June, a period when the Nasdaq 100 added 8.2% and most institutional managers increased megacap tech weight.
Tepper's filing shows complete exits from two positions that defined Appaloosa's 2023 technology book. The fund liquidated its entire 4.2 million share stake in Nvidia — valued at approximately $520 million at quarter-end prices — and reduced Microsoft by 78%, retaining only 1.1 million shares. In their place, Appaloosa built a $340 million position in Palantir across 11.8 million shares, making it the fund's seventh-largest holding, and added $280 million in ServiceNow. The Amazon trim was surgical: Appaloosa kept its AWS exposure through call options while selling 2.3 million shares of underlying equity. The Alphabet reduction was proportional but absolute, cutting the stake from 3.8 million shares to 1.4 million. These weren't tax-loss harvests or margin calls — Tepper sold into strength, booking gains on positions that worked, then rotated the capital into names trading at revenue multiples 40-60% lower than the hyperscalers.
The move signals something allocators have been waiting for: a credible manager declaring that the infrastructure build is priced and the value migrates to companies with contracted use cases. Appaloosa's new portfolio construction favors businesses selling AI as a margin-accretive product to enterprise customers under multi-year agreements, not companies spending $50 billion annually on GPU farms with uncertain monetization paths. Palantir's defense and commercial contracts, ServiceNow's workflow automation ARR, and Datadog's observability platform all share one trait — they generate cash flow today from AI deployments, not in a theoretical 2027. Tepper's historical edge has been knowing when to sell the infrastructure and buy the application. He made $7 billion personally in 2009 by buying bank preferreds after the infrastructure (TARP) was announced but before earnings recovered. This 13F suggests he views the current AI trade the same way: the picks-and-shovels rally is over, now you buy the businesses using those tools to build something customers pay for.
The timing matters because Appaloosa's Q2 window closed June 30, which means these trades were executed before Nvidia's July guidance beat and before Microsoft's September announcement of $80 billion in FY25 datacenter spend. Tepper was early, but that's the point. He didn't wait for consensus. The 13F also shows Appaloosa added $190 million in MongoDB and $160 million in CrowdStrike — both database and security infrastructure plays that benefit from AI workloads without being structurally long the hardware cycle. The portfolio now has nine positions above $200 million in software names with operating margins above 20%, versus three such positions in Q1. That's a deliberate barbell away from capital-intensive hyperscalers and toward capital-light software compounders.
Operators and allocators should track whether other Tiger Cub and macro managers follow this rotation in Q3 filings due mid-November. If three or more funds with over $10 billion AUM show similar exits from Nvidia and entries into Palantir or ServiceNow, the trade becomes a consensus unwind. Watch for earnings commentary from Microsoft and Amazon in late October — any slowdown in Azure or AWS AI product revenue growth will vindicate Tepper's pivot and likely trigger mechanical de-risking by volatility-targeting funds. Also worth monitoring: insider selling at the hyperscalers. If executives at Microsoft or Alphabet start 10b5-1 plan accelerations in Q4, it confirms that even management sees valuation risk in the infrastructure layer.
Appaloosa's 13F is not a market call. It's a portfolio manager with $19.4 billion telling you he thinks the next $500 billion in AI market cap gets created in software, not semiconductors, and he's willing to give up the last 15% of the Nvidia move to own the first 50% of the Palantir move.
The takeaway
Tepper rotated $1.8B out of hyperscale AI infrastructure into contracted enterprise software, signaling he thinks monetization now trumps buildout.
Want the 60-second program for your specific event?
Enter your event and email — we build it and send the branded proposal before lunch. No obligation.
The branded-identity layer Chiefs of Staff and heritage CMOs route through — your name imprinted on real authorized stock, your pick of 200+ brands and 70,000 products, shipped from one accountable house. Nine editorial desks publish the intelligence those operators read before they sign.
200+authorized brands
70,000products · virtual proof on each
9 deskspublishing daily
1997one house, since
70,000 SKUs · virtual proof in 60 seconds · no platform fee · blind-shipped · ASI #217876
Your next customer won't visit your website. Their AI will.
AI assistants have quietly taken over the first step of buying — they answer from catalogs they can read and shortlist whoever can actually ship. Two questions now decide whether you exist to that buyer: can a machine read your catalog, and can you fulfill the order. Most brands fail one or both and never find out why the orders went elsewhere. The winners of this shift aren't the loudest. They're the most readable. Build for the machine that's about to do the shopping.
Built by the craft floor — apparel, media, packaging, and secure print.
This trade runs on hands, not desks. Imprint manufacturing & Komori Press · Canon high-speed secure-media operations is a craft floor — genuine Six Sigma discipline applied to ink, thread, foil, and registration, where a hundredth of an inch is the difference between a brand that reads serious and one that reads cheap. POPS4 is built by exactly those operators: independent, boots-on-the-ground engineers who carry their own book, read a client in microseconds, and put their name on every run. Beyond our own Virginia Beach floor, we work with a vetted network of craft manufacturers across the US — each meeting the highest excellence in QC standards in the industry, each a specialist in its own discipline — so apparel, hard-goods imprinting, media manufacturing, packaging, and secure printing all go to the bench built for them, coordinated from one accountable hub. Short-run from twenty-five units, volume to five hundred thousand. Two hundred authorized national brands, seventy thousand SKUs with virtual proofing on every one. Art archived for instant reorders. Net-thirty corporate terms, NDA-standard white-label — your name on the work, or none at all.
Strategy, positioning, identity, creative, and messaging — wired into an AI system that publishes and distributes on its own. Nine editorial desks generate the authority, the production house ships the physical proof, and the attribution layer tells you which post sold which SKU. What you get is an operating layer — content, catalog, and order path under one roof — that keeps working whether or not you are in the room. Built for principals who would rather own the machine than rent the agency.
Named-account programs — one desk, quiet delivery, NDA-standard.
One point of contact who already knows the file, so nothing restarts from zero between engagements. The work ships blind, under NDA, with your name on it or none at all. Built for single-family offices, heritage-house CMOs, sports-ownership groups, and the agencies that white-label our production. The relationship is the product; the merch is the proof of it.
SFO · Chief of Staff desk. Principal household, properties, aircraft, yacht, calendar, philanthropy — one file.
Shop seventy thousand products. Virtual proof on every one. 24/7.
Drop your logo on any product and see the virtual proof before asking. Quote routes direct to the desk. MCP catalog for AI agents. Celeste for the fast conversation. Full self-service checkout in development.