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Stocks Rise Despite Tech Sell-Off and Hot Inflation Data artwork

Stocks Rise Despite Tech Sell-Off and Hot Inflation Data

MRKT Matrix

October 15, 2026

MRKT Matrix - Thursday, October 15th September PPI Inflation Report: Producer Prices Jump 6.3% (Barron's) Chip Stocks Deepen Losses as Rate and AI Debt Concerns Mount (Bloomberg) CoreWeave Risk Gauge Hits Record Pricing 60% Odds of Default (Bloomberg) Deep Dive: Gartner Says $3.

Speakers Brunson, Alex

TopicsInvestingBusinessNewsBusiness News

Brunson (0:00)

Welcome to RiskReversal's MRKT Matrix, your AI-generated podcast curated by Guy Adami and Dan Nathan, breaking down the day's most impactful stock market and business headlines. We're your hosts, Brunson and Alex, and all of today's market data is provided by FactSet.

Alex (0:15)

As a reminder, be sure to subscribe to RiskReversal's daily markets newsletter. That's at riskreversal.substack.com.

Brunson (0:22)

Now to the news. It's Thursday, October 15th, and we're continuing to track a tech reckoning as debt fears and inflation reading hit the market at the same time. Yet the S&P 500 remains resilient, finishing positive by more than a quarter of a percent on the day.

Alex (0:37)

That's right. Wall Street was seeing more sector rotations today.

A relentless selloff in semiconductor and AI infrastructure stocks, dragging names like NVIDIA, Oracle, Nebius and CoreWeave down sharply, has pushed the NASDAQ near a one-month low. Adding fuel to the fire, the September producer price index jumped 6.3% annually, marking its biggest surge since 2022, and reviving fears that the Federal Reserve may have to hike interest rates more aggressively over the next several meetings.

Brunson (1:05)

But here's the twist today. Despite that hot inflation print, capital that is fleeing tech is moving into some safe havens. US Treasury yields slid to multi-week lows today and barely reacted to the hot PPI, suggesting some flight to quality the past few days, and many other sectors benefited from those rotations, with the S&P 500 shaking off an early sell-off to close positive on the day.

Alex (1:28)

On that inflation front, Barron's breaks down today's hotter than expected producer price index, which surged 6.3% year-over-year in September. The sharp jump was driven primarily by rising energy input costs and supply chain friction, prompting fixed income strategists to note that pipeline inflation pressures are far from dead, forcing the Fed to maintain a hawkish stance even as economic growth signals begin to flicker.

Brunson (1:52)

Meanwhile, semiconductor equities are deepening their losses across global exchanges. According to Bloomberg, mounting anxiety over elevated interest rates and corporate debt levels continues to trigger heavy institutional selling in hardware names. Equity traders emphasized that investors are no longer giving chipmakers a free pass on CapEx execution. They want to see clean balance sheets and immediate free cash flow generation.

Alex (2:16)

That brings us to today's Deep Dive, revisiting yesterday's staggering new warning from Gartner, projecting that over $3.5 trillion in global AI infrastructure investments could be exposed to severe asset impairment by the end of 2030

Brunson (2:31)

Gartner's analysis highlights that hyperscalers and neoclouds are rushing to build out power-hungry data centers and specialized GPU clusters at a pace that far exceeds current enterprise software monetization. If end-user software revenue fails to scale fast enough to absorb these massive capital expenditures, tech companies and infrastructure hosts will be forced to take massive write-downs on overvalued, fast-appreciating hardware.

Alex (2:57)

That capital burden is already triggering alarm bells across credit markets today.

As Bloomberg reports, default risk gauges for AI cloud provider CoreWeave surged to record highs, with credit default swap markets now pricing in a 60 percent probability of default. Credit analysts warn that when multi-billion dollar GPU clusters are financed with high yield debt, any slowdown in capacity leasing creates an immediate systemic liquidity squeeze.

Brunson (3:23)

In private market valuations on the AI front, Axios details Anthropic's third quarter financial update, revealing expanding top line revenue alongside continuing cashflow burn. While enterprise API adoption remains robust, heavy training costs continue to drain reserves, leading private equity analysts to observe that Anthropic's massive compute bill means top line growth is being matched dollar for dollar by cash consumption, stretching profitability timelines.

Alex (3:51)

Building on that, the information reports that Anthropic's sequentially slowing revenue growth rates are beginning to weigh on its upcoming initial public offering valuation. Underwriters are adjusting baseline expectations downward, cautioning that public market investors are unwilling to pay historic mega cap multiples for AI labs whose revenue growth curves show signs of flattening out.

Brunson (4:12)

Finally, over in Big Tech partnerships, The Wall Street Journal reveals a surprising alliance between longtime rivals Meta and Apple to optimize open-weight AI models directly on Mac hardware. By integrating Meta's Lama ecosystem into Apple's silicon architecture, the companies aim to drive local on-device AI processing without relying on expensive cloud servers, with tech analysts calling it a pragmatic alliance designed to bypass expensive cloud infrastructure and bring powerful AI inference straight to consumer endpoints.

Alex (4:43)

Looking ahead to tomorrow, it's expiration Friday, as well as a speech at the IMF from Fed Chair Kevin Warsh.

Brunson (4:50)

That's your RiskReversal MRKT Matrix. Be sure to follow us to get alerts on new episodes every day. All of the articles mentioned on today's podcast can be found in the show description for Guy Adami and Dan Nathan's market analysis on these topics and more. Watch Market Call on RiskReversal's YouTube channel. Special thanks to our data provider, FactStat, for supporting our coverage.

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