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S&P 500 sinks 1.2% as oil tops $100, Big Tech AI spending spooks markets
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[1] Review & Preview: Big Tech's $889 Billion Reality Check (https://www.barrons.com/articles/stocks-today ...)[2] PSX slips as oil surge, Red Sea blockade fears hit sentiment (https://www.geo.tv/latest/674399-psx-slips-as ...)[3] Dow Jones Top Energy Headlines at 4 PM ET: Brent Hits $100 Again as Houthi... (https://www.morningstar.com/news/dow-jones/20 ...)[4] Wall St falls as tech earnings spark AI spending worries and oil hits $100 (https://finance.yahoo.com/markets/stocks/arti ...)[5] BTCC Exchange Q2 2026 Growth Report: TradFi Volumes Triple, 12M Users Reached as... (https://www.investing.com/news/cryptocurrency ...)
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Jul 24 2026, 02:59
RingCentral beats Q2 guidance, raises outlook as AI adoption doubles
RingCentral reported Q2 revenue of about $657 million, beating the high end of its guidance, as AI product adoption accelerated and free cash flow surged 25 percent. "The results reflect a multi-year effort to improve profitability and cash generation while repositioning RingCentral around agentic voice AI," Founder, Chairman and CEO Vlad Shmunis said. Subscription revenue reached about $634 million, up 5.8 percent year over year. Non-GAAP operating margin expanded to 23.4 percent, up nearly 90 basis points, while GAAP operating margin improved more than 170 basis points to 7.7 percent. Free cash flow totaled $180 million, up 25 percent from a year earlier. The company raised its full-year subscription revenue outlook to $2.55 billion to $2.561 billion and lifted its quarterly dividend to $0.125 per share. Management now expects to reach its 20 percent GAAP operating margin target within two to three years, one year ahead of its prior schedule. RingCentral ended the quarter with more than 16,000 paying AIR customers, up 400 percent year over year, and over 6,300 ACE customers, up more than 70 percent. Annual recurring revenue from customers using at least one paid AI product now represents about 13 percent of total ARR, doubling from a year ago, with those customers showing net retention "well above 100 percent," according to management. The company reduced gross debt by about $85 million during the quarter and lowered net leverage to 1.5 times. RingCentral repurchased about 2.2 million shares for roughly $94 million, bringing the diluted share count down 6 percent year over year to about 87 million shares. CFO Vaibhav Agarwal said the company remains on track to reduce gross debt to $1 billion by the end of 2026. RingCentral has no maturities until 2030 and maintains $355 million of undrawn credit capacity. For the third quarter, RingCentral guided for subscription revenue of $643 million to $649 million and total revenue of $664 million to $670 million. The company expects non-GAAP EPS of $1.25 to $1.30. The guidance raise indicates management expects AI-driven demand to sustain its momentum. Investors will watch the Q3 earnings call for further updates on AI product attach rates and margin progression. This article is for informational purposes only and does not constitute investment advice.
Jul 24 2026, 02:54
Scribe Therapeutics raises $128.7m in upsized Nasdaq IPO
Scribe Therapeutics raised $128.7 million in an upsized initial public offering, pricing 8.58 million shares at $15 each, as the CRISPR biotech co-founded by Nobel laureate Jennifer Doudna debuted on the Nasdaq. "The strong demand reflects investor appetite for in vivo gene-editing platforms with clear clinical pathways in large addressable markets," said Tom Brennan, IPO analyst at Edgen. The offering, upsized from an undisclosed initial target, priced at the high end of the range. Underwriters have a 30-day option to purchase up to an additional 1.29 million shares. Leerink Partners, Goldman Sachs, Guggenheim Securities and Wells Fargo Securities acted as joint book-running managers. The listing opens a path for other gene-editing companies to test public market appetite in the second half of 2026. Scribe's lead candidate, STX-1150, targets elevated LDL-C by epigenetically silencing the PCSK9 gene, a mechanism that could compete with existing statin and PCSK9 inhibitor therapies in a multi-billion-dollar cardiometabolic market. The Alameda, California-based company sold all shares in the offering, with proceeds earmarked for advancing its pipeline of in vivo CRISPR therapies. Scribe's CRISPR by Design platform engineers Cas enzymes and guide RNAs to create therapies that modify gene expression without cutting DNA, a safety advantage the company says could broaden the addressable patient population. Sanofi, already a strategic collaborator, agreed to purchase 500,000 shares at the same $15 price in a concurrent private placement expected to close July 27. The IPO is not contingent on the private placement. Sanofi and Eli Lilly are among Scribe's pharmaceutical partners, providing both validation and potential commercialization pathways. Scribe's initial programs focus on atherosclerotic cardiovascular disease, targeting elevated LDL cholesterol, lipoprotein(a) and triglycerides — conditions affecting tens of millions of patients in the U.S. alone. The company's epigenetic silencing approach offers a potential durability advantage over daily statins or periodic injectable PCSK9 inhibitors, though clinical data remain early-stage. The IPO market for biotech has shown signs of recovery after a prolonged downturn, with investors favoring companies that combine platform technology with clear clinical milestones. Scribe's Doudna pedigree and Big Pharma partnerships distinguish it from earlier-stage gene-editing peers that went public in the 2020-2021 boom. This article is for informational purposes only and does not constitute investment advice.
Jul 24 2026, 02:32
Amazon requires sellers to label AI-generated people in 3 states
**Amazon's new labeling mandate for AI-generated people in product images marks the first major platform-level response to a patchwork of state disclosure laws that threatens to reshape how 2 million third-party sellers create advertising content.** Amazon told third-party sellers on July 23 that any product images or videos containing "AI-generated people" must be tagged with specific metadata keywords before upload, according to a company announcement viewed by CNBC. The policy responds to a New York law that took effect June 9 requiring conspicuous disclosure when advertisements feature "synthetic performers" — digitally created figures meant to read as human — with some exemptions for TV, video game and movie characters. "The absence of a federal standard means platforms face a compliance puzzle that grows more expensive with each new state law," said Elena Fischer, a regulation analyst at Edgen. "Amazon's move is pragmatic — it builds one system that can scale to multiple jurisdictions rather than retrofitting for each one." The New York law, which Governor Kathy Hochul described as "first-in-the-nation," applies to "digitally-created media that appear as a real person" distributed to New York audiences. California earlier in 2026 began requiring large AI providers to embed watermarks in AI-generated images, video or other content. The European Union's AI Act brings transparency obligations for AI-generated content into effect in August 2026, with a focus on labeling deepfakes and ensuring generated content is identifiable. No federal law in the United States currently requires companies to disclose when advertising content has been created using AI. Amazon said it will "add an indicator" to listings informing consumers that images or other content feature AI-generated people "where applicable," though the company did not specify the criteria for when the label will appear. The policy applies to images and "A+ content," which includes videos or other graphics on listing pages. It does not cover content featuring real people even if they have been altered using AI, the company clarified. The compliance burden falls disproportionately on Amazon's third-party sellers, who account for more than 60 percent of goods sold on its marketplace. Many of these sellers have increasingly used AI tools — including Amazon's own generative AI features — to create text, images and other content for their listings. The new tagging requirement adds a layer of operational cost to a seller ecosystem already navigating listing optimization, advertising fees and inventory management. **The legal stakes extend beyond labeling compliance.** A lawsuit filed in New York state court by fashion model Francheska Pujols against retailer Rainbow USA illustrates the liability risk. Pujols alleges that Rainbow used AI to create new depictions of her in poses, body positions and wardrobe that she never modeled, exceeding the scope of a license agreement that permitted use of specified photographs. The complaint asserts claims under New York's Civil Rights Law Sections 50 and 51, Section 43(a) of the Lanham Act for false endorsement, and defamation. The case, which remains at its earliest stages, tests a question no existing talent agreement was drafted to address: when does an authorized modification of a licensed image become an entirely new depiction requiring separate permission? Meta, TikTok, Pinterest and Google's YouTube have already added AI-generated content labels to videos and images uploaded to their platforms. TikTok and Meta have faced criticism for not adequately labeling ads featuring AI-generated influencers promoting products, in some cases without a brand's knowledge. Amazon's policy goes further by requiring proactive metadata tagging from the seller before upload, shifting the disclosure burden upstream. The direction of travel is clear. With the EU AI Act's transparency provisions arriving in August 2026 and more US states likely to follow New York and California, platforms face a multi-jurisdictional compliance environment that rewards early standardization. For Amazon's 2 million third-party sellers, the cost of noncompliance — delisted products, legal liability, or consumer trust erosion — now exceeds the cost of building disclosure into the creative workflow. The question is no longer whether AI-generated advertising content gets labeled, but who bears the cost of doing it wrong. This article is for informational purposes only and does not constitute investment advice.