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Palantir's CEO Just Called Out OpenAI and Anthropic
Author: Chris Markoch. Article Posted: 7/7/2026.
Key Points
- CEO Alex Karp told CNBC that enterprises risk losing their competitive data advantage by relying on frontier AI models like OpenAI or Anthropic.
- Critics, including Michael Burry, argue Karp is talking his book amid PLTR's 25% decline in 2026, but Palantir's earnings have not shown lost business.
- Karp projected $15 billion to $18 billion in free cash flow within two years, though PLTR still trades below its 200-day EMA of $143.43.
- Special Report: Everyone wanted SpaceX. Smart money wants this.
Palantir Technologies (NASDAQ: PLTR) isn't exactly known for shying away from controversial topics. But when it comes to frontier large language models such as Anthropic and OpenAI, Palantir has generally pulled its punches.
That changed in a recent interview Palantir co-founder and CEO Alex Karp gave to CNBC. In the interview, Karp said what the company’s business model has implied for years: the real AI trade isn't the foundation model layer; it's the application and integration layer built on top of it.
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Click here to reserve your spot now.In the interview, Karp remarked that enterprises want to "own the means of production" instead of "transferring their alpha" to OpenAI or Anthropic. In plain English, Karp was warning that an enterprise's competitive edge—its alpha—is its data.
If that data runs through another company’s API, the enterprise is renting a moat, not building one.
The real danger, according to Karp, is that those companies may eventually use the data they acquire to work against the enterprises they serve. He argues that is not a concern with Palantir.
How Frontier AI Models Could Become Enterprise Competitors
When an enterprise company pays a frontier model company, it is effectively buying the ability to bolt a chatbot onto its workflow. In industry terms, the value and pricing power flow to the model maker. In the process, the enterprise loses exclusive ownership of that data.
With Palantir, a company is buying Ontology and AIP to embed AI directly into its own proprietary data and decision-making. The value of that data stays in-house.
The threat Karp is describing isn't hypothetical. Enterprises that route proprietary data through a frontier model risk handing over their know-how, trade secrets, and competitive edge to a company that may eventually compete with them directly.
That risk is becoming harder to ignore. For an enterprise, real data safety means maintaining control over its own data, model weights, and compute resources. Without that control, a frontier lab can absorb a company's proprietary knowledge and repurpose it into its own products.
Anthropic's expansion into vertical-specific offerings illustrates the pattern. Categories once served by independent developers building on top of Anthropic's models are increasingly being served by Anthropic itself. The model maker sees where value is created on top of its platform, then moves in to capture it directly.
The logic is straightforward: a company with a dominant model can use that position to expand into adjacent, high-value verticals over time. It's the same dynamic Karp is pointing out. If enterprises hand over proprietary data, they may be arming their own future competitor.
Is Alex Karp Defending Palantir or Highlighting a Real AI Risk?
Critics of Karp’s statement argue that he is simply talking his book. Frontier models have been seen by some as a direct threat to Palantir’s business. Michael Burry went so far as to say that Anthropic was “eating Palantir’s lunch.”
The criticism gains more traction with PLTR down 25% in 2026 and approximately 35% below its all-time closing high around $207 in November 2025. The thinking is that Karp is trying to prop up the stock by discrediting the competition.
However, the crux of Karp’s argument is what many analysts have been saying for months. Palantir operates at a different layer of the AI stack. Its role is to orchestrate the application layer via its Ontology, which is agnostic to whatever large language model (LLM) enterprises choose to use.
A more relevant critique is that foundation model companies are moving downstream too through custom GPTs and enterprise tooling, so the "layer" distinction may blur over time. However, Palantir’s earnings reports to date don’t indicate that the company is losing business. In fact, the opposite appears to be true.
Can Palantir's Long-Term Growth Outlook Justify PLTR's Valuation?
Palantir will continue to face concerns about its valuation. No matter how much the company grows, many investors believe too much future growth is already priced into PLTR.
So far, betting against that future growth hasn't been a good bet. But what comes next? According to Karp in the interview, Palantir has “...more business than we can supply. [...] 2 years out, you can see 15 ... 18 billion dollars of free cashflow.”
That will fire up the skeptics. However, in 2022, Karp announced a 2025 revenue target of $4.5 billion. In 2025, the company’s full-year revenue was $4.475 billion. Like it or not, Karp has a history of backing up forecasts that first appear audacious.
That makes the case for owning PLTR for the long haul. However, in the near term, PLTR's chart tells a story of stalled momentum, not a full recovery. The stock still trades below its 200-day EMA of $143.43. That’s a level that continues to act as resistance.
There are signs of stabilization: the MACD has turned positive after months in negative territory, signaling early bullish momentum following the June lows near $106. But until PLTR reclaims its 200-day EMA, the longer-term trend remains bearish. Karp's comments may be supporting sentiment, but the chart still shows a stock searching for confirmation.
Amazon’s New Debt Deal Puts Its AI Spending Story on Trial
Author: Jeffrey Neal Johnson. Article Posted: 7/10/2026.
Key Points
- Amazon is using low-cost debt to help fund a massive artificial intelligence infrastructure buildout.
- Investors are weighing Amazon Web Services’ long-term margin opportunity against near-term free cash flow pressure.
- Recent insider selling and softer bond demand add friction to the bullish infrastructure thesis.
- Special Report: Everyone wanted SpaceX. Smart money wants this.
Amazon.com, Inc. (NASDAQ: AMZN) recently completed an eight-tranche, $25 billion investment-grade corporate bond sale, signaling a strategic shift in capital allocation. Amazon is increasingly turning to leveraged financing to help fund an unprecedented $200 billion commitment to artificial intelligence (AI) infrastructure in 2026.
The fixed-income market absorbed the offering with ease. Still, a closer look at softer order books and aggressive executive share sales points to early signs of broader market fatigue. Investors now face a classic fundamental tradeoff. Market participants must weigh near-term balance sheet strain against the long-term margin benefits of scaling proprietary silicon and positioning for the next generation of compute cycles.
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See the 5 stocks to avoidCapital allocation often determines market leadership. Amazon’s use of the bond market offers a clear look at how the company plans to finance the intensifying artificial intelligence arms race against peers like Microsoft (NASDAQ: MSFT). With credit ratings holding at AA-, Amazon secured highly attractive pricing across maturities ranging from 3 to 40 years. Management also signaled to underwriters that this transaction will complete all debt issuance for the 2026 calendar year, setting a clear boundary around near-term leverage.
The 40-year tranche deserves particular attention from fundamentally driven investors. The debt priced at just 125 basis points over Treasuries. For context, basis points measure the yield spread over a baseline rate.
By locking in four decades of capital at only 1.25% above the Treasury yield, Amazon effectively secures generations of inexpensive financing while inflation gradually erodes the real value of that debt over time. That creates a powerful cost-of-capital advantage over smaller competitors trying to build similar data center footprints.
The July offering generated $62 billion in peak demand from institutional buyers, showing that the bond market still has liquidity and remains willing to underwrite Amazon Web Services' capacity expansion. That subscription level is notably weaker than the $37 billion debt offering Amazon executed in March.
This cooling demand points to mild fatigue in the debt market. Fixed-income investors are becoming more selective and are asking for higher yields as the total addressable market for megacap tech debt expands across the sector.
Silicon Starvation: Amazon Feasts on Proprietary Chips
To understand the scale of the $200 billion capital expenditure target for 2026, investors should consider the impact on free cash flow. Wall Street analysts project that this infrastructure mandate will push Amazon into an estimated $40 billion negative free cash flow deficit annually across 2026 and 2027.
For a traditional retail operation, negative free cash flow of that magnitude would signal severe operational distress. For an infrastructure provider racing to secure computing dominance, it functions as a structural moat. The cash is not disappearing into inefficiency. Amazon is actively converting capital into hard assets. Spending is earmarked for aggressive data center expansion, scaling proprietary Trainium chip production, and supporting pre-IPO equity stakes in developers.
Investors tracking operating margins need to separate headline earnings from core operations to understand Amazon’s true trajectory. A significant portion of the Q1 net income beat was inflated by a $16.8 billion pre-tax gain tied to the equity investment in Anthropic. That accounting gain masks the underlying operating margin run rate of the core business.
The long-term margin offset comes from securing the physical layer of cloud computing. By holding major private stakes in developers like Anthropic, Amazon captures both sides of the trade. It provides the necessary compute power while also owning a piece of the underlying application. With Taiwan Semiconductor Manufacturing Company's (NYSE: TSM) 3nm foundry capacity running at full utilization, bringing Trainium production in-house gives Amazon important pricing leverage and reduces reliance on expensive legacy graphics processing units.
C-Suite Retreat? Amazon's Insider Sales
Fundamentals ultimately drive valuations, but sentiment often shapes near-term price action. Broad sector rotation is weighing on momentum across the tech space. Major tech conglomerates are currently lagging the broader Nasdaq-100 index, a trend compounded by recent geopolitical risk-off pressures and growing institutional caution about the long payback period for data center hardware.
Against this macroeconomic backdrop, insider trading data adds a small amount of friction to the bullish structural narrative. Corporate executives often sell shares for tax and diversification reasons, but the breadth of recent liquidations is worth noting.
Over the trailing 90 days, insider selling totaled $51.6 million. CEO Andy Jassy sold over $20 million in equity during the second quarter. Senior Vice President David Zapolsky recently liquidated 18.4% of his position. Douglas Herrington, CEO of Worldwide Amazon Stores, also executed back-to-back share sales in June and July.
These moves come amid a lack of executive open-market purchases. A put/call ratio of 0.44 shows options traders maintaining heavy bullish conviction ahead of the July 30 earnings report, but the steady selling reflects routine executive profit-taking during a peak capital cycle.
The Waiting Game: Scaling Amazon's Infrastructure
The shift from cash reserves to leveraged financing is a defining feature of the modern infrastructure race. Amazon is using the balance sheet strategically, taking on targeted low-cost debt to build physical capacity that emerging competitors cannot easily match.
Investors watching Amazon at current levels may view the projected free cash flow deficit as a necessary growing pain rather than a structural flaw. The core investment thesis depends on Amazon Web Services successfully monetizing this massive buildout in the coming years and translating gigawatt-level power contracts into recurring enterprise revenue streams.
Those looking to allocate capital to the cloud sector may want to hold existing positions as the second-quarter earnings report approaches, while watching closely for updates on revenue acceleration and adjusted operating margins.
Cautious investors may prefer to wait for broader sector rotation to stabilize before initiating a new position, using any macro-driven pullback as an opportunity to buy shares of a dominant infrastructure provider at a more favorable valuation.
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