Everything moving the Street, before it moves you.

Good morning, and happy Friday.

PepsiCo (PEP) spent the quarter proving that even snack food has a gas gauge. The company reported second-quarter net revenue up 6.4% to $24.18 billion and core EPS up 6% to $2.20, but North American food volume was flat and beverage volume fell 4%. AP reported that higher fuel prices pinched convenience-store impulse buying, the exact aisle where chips and soda usually win on muscle memory.

There is no consumer so loyal that $5 gas cannot talk them out of a family-size bag of Doritos. Inflation has many languages. Apparently one of them is “maybe just water.”

Semiconductors

The Memory Trade Found Its Bid Again, and SK Hynix Brought a $26.5 Billion Shopping Cart

The AI trade got over its midweek headache the old-fashioned way: somebody found another giant checkbook.

SK Hynix priced its U.S. American depositary receipts at $149 each and raised $26.5 billion, making the Korean memory supplier's Nasdaq debut one of the largest foreign listings ever in U.S. markets. The offering was seven times oversubscribed, according to the Financial Times, because apparently the Street can still spell HBM even after a two-day chip selloff.

The timing could not have been cleaner. The same day, Micron (MU) announced up to $3 billion of U.S. semiconductor-supply-chain investments, including $500 million of financing support for GlobalWafers' 300mm silicon-wafer facility in Sherman, Texas, and a 10-year wafer supply agreement. Barron's reported the move sits inside a broader plan to lift Micron's U.S. manufacturing commitment to $250 billion through 2035.

Memory Lane

The memory stocks had just been reminded that nothing goes straight up forever. Samsung's blowout quarter earlier in the week still got sold, and investors briefly started asking whether the AI buildout was becoming a capex eating contest. Thursday's tape answered with a shrug and a bid.

By the numbers: AP reported the Nasdaq Composite jumped 1.3% Thursday to 26,206.89, while the S&P 500 rose 0.8% to 7,543.64. Investor's Business Daily said the Philadelphia Semiconductor Index gained 3.1%, with Micron up 4.5% and Sandisk up 7.6%.

"We think the companies have been rational. We think that there's ROI that supports these investments."

— Katrina Dudley, senior investment strategist at Franklin Templeton,

SK Hynix is not just selling a ticker. It is selling access to the part of the AI stack that has become harder to fake than model demos: high-bandwidth memory, wafers, capacity, and the discipline not to flood a historically boom-bust market too quickly. Bloomberg’s Mandeep Singh said that longer context windows and cache demand should keep HBM demand supported because new supply cannot appear overnight.

No Recall Needed: The market is still arguing about whether AI spending earns its keep, but memory makers just got a reminder that scarcity has pricing power. SK Hynix turned U.S. access into a record-sized capital raise; Micron turned domestic supply into a stock-market catalyst. The risk is the same one memory has always carried: when everyone expands at once, the good times eventually manufacture their own hangover. For now, the supply curve is still the story, and Wall Street is buying the chips before they cool.

Artificial Intelligence

Meta Finally Starts Charging for AI, and the Free-Model Era Gets a Cover Charge

Meta spent years handing out AI models like party favors. Now Mark Zuckerberg wants developers to pick up the tab, even if it is a very cheap tab.

Meta Platforms (META) launched Muse Spark 1.1 with a new paid developer tier, its first real move to charge businesses for access to its models. Business Insider reported the API is priced at $1.25 per million input tokens and $4.25 per million output tokens, with Zuckerberg describing the pricing as aggressively low. The Verge reported the model is available through a public-preview Meta Model API for U.S. developers.

That is a small number with a big message. Meta has been the AI spender investors kept side-eyeing: giant data centers, custom chips, a cloud-business trial balloon, and no obvious receipt showing how the capex comes back. Charging developers, even at discount-store prices, turns the AI story from "trust us" into "here is the cash register."

Price Chopper

Zuckerberg told Bloomberg that rival labs were "taking too much margin" and that Meta wants to make access affordable enough to spread widely. He also acknowledged Meta is still trailing Anthropic and OpenAI in many areas, while saying Muse Spark 1.1 finally benchmarks ahead of Google's Gemini in some tests.

  • MarketWatch reported Meta shares rose 4.7% as investors weighed the model launch, custom-chip reports, and Meta's broader cloud ambitions.

  • Bloomberg's Kurt Wagner said that Meta now has a consumer chatbot subscription, AI agents for businesses, paid model access, and a possible cloud business, a monetization stack that did not exist in the market's mind a few months ago.

  •   Axios noted Meta is trying to turn more than $200 billion already spent on AI infrastructure, plus more planned through 2028, into direct AI revenue.

"If we don't control the technology, we're at a disadvantage."

— Mark Zuckerberg, Meta CEO

Token Gesture: Meta's trick is that it can be both vendor and price disciplinarian. If Muse Spark is good enough, low token pricing pulls developers into Meta's stack. If it forces OpenAI, Anthropic, and Google to lower their own prices, Meta also benefits as a buyer of outside AI services. That is not altruism; it is platform economics in a hoodie. The question is whether "cheaper than the frontier" becomes a business, or just a very expensive way to make everybody else's margins worse.

Software

Starbucks Is Vibe-Coding the SaaS Bear Case

The scariest customer for a software vendor is not the one who cancels. It is the one who says, "We can build that ourselves."

Starbucks (SBUX) is developing internal AI-assisted tools that could replace some software it currently buys from Microsoft (MSFT), IBM (IBM), and other vendors. Reuters, citing Bloomberg, reported the coffee chain is building alternatives to a Microsoft inventory system and an IBM maintenance tool, with some software potentially rolling out by the end of next year if testing works. Investing.com reported IBM fell 3%, ServiceNow dropped 3.5%, and Salesforce lost 4% ahead of the open on the news.

The number that made software desks spit out their latte: Starbucks spends about $400 million a year on software, according to the Bloomberg. The company is also looking for about $10 million of savings inside one enterprise-technology unit by the end of its fiscal year in September.

Grande Disintermediation

This is not just a restaurant turnaround footnote. It is the cleanest corporate case study yet for the software bear case that has been stalking the sector all year: AI lets large customers customize, clone, or replace the very tools they used to rent.

Bloomberg's Ryan Bilica framed the trade neatly: chips and software have started moving against each other because AI demand is a tailwind for hardware but a threat to software pricing power. Starbucks is the example that takes the abstract chart and puts a green apron on it.

"The whole 'software is eating the world' argument is really being thrown by AI."

— Ryan Bilica, Bloomberg

Starbucks has a business reason to try. CEO Brian Niccol pulled guidance after arriving in 2024, reset the turnaround, and has been pushing service speed, store remodels, product focus, and cost discipline. If AI can help the company build tools it already customizes heavily, the math is tempting: fewer vendor contracts, tighter internal fit, and a new lever for margins.

Grounds for Concern: One Starbucks does not kill enterprise software. Big companies have been threatening to build their own systems since the first CIO discovered a budget spreadsheet. But AI changes the labor math enough that the threat sounds less theatrical. The bear case for SaaS is no longer that customers stop needing software. It is that the biggest customers still need it, still customize it, and increasingly ask why they are paying someone else to do the last mile.

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The Tape

  • Home, Sour Home: Existing-home sales fell 2.4% in June to a 4.09 million annual rate, while the median price hit a record $440,600, so the housing market is somehow both better supplied and still allergic to affordability.

  • Warsh Games: The Federal Reserve announced five task forces to review operations, including an AI/productivity group led by Marc Andreessen, Microsoft Xbox CEO Asha Sharma, and Stanford economist Charles Jones, because even central banking now comes with a product roadmap.

  • Blue Sky Valuation: Blue Origin is seeking $10 billion at a $130 billion valuation, the Wall Street Journal reported, a first outside-capital round that makes the private space race look less like science fiction and more like a cap table with rockets.

Extra Upside

  • Work release: OpenAI launched GPT-5.6 and ChatGPT Work, while Techmeme's live July 10 sweep showed the rollout dominating AI coverage alongside OpenAI executive Fidji Simo's move to a part-time adviser role.

  • Denim diplomacy: Levi Strauss (LEVI) reported 6% organic revenue growth, 11% reported DTC growth, 19% e-commerce growth, and 16% Beyond Yoga growth, suggesting the consumer may be grumpy but has not sworn off jeans.

  • Fed chair, AI chair: Anthropic appointed former Fed Chair Ben Bernanke to its Long-Term Benefit Trust, an oversight body with authority to appoint Anthropic board members.

    Just For Fun

  • Goldman Sachs limited employee betting on prediction markets outside sports and entertainment, which is the least surprising compliance memo ever written by a bank full of people who know when the memo is coming.

  • Microsoft's Xbox reset is reportedly sending Obsidian back to Fallout, with The Verge reporting the studio is canceling several projects and shifting to the first new Fallout title since 2018. Nothing says corporate restructuring like returning to the post-apocalypse for growth.

After the Bell

Thursday's tape had a simple message: AI spending is fine when it lands in memory chips, suspicious when it lands in software bills, and politically irresistible when it lands in data centers, Fed task forces, or sovereign-wealth-fund daydreams. The market is not done believing in the buildout. It is just getting pickier about who sends the invoice.

That's the tape. We'll see you at the open. — AllThingsWallSt

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