PayPal Perluas Dorongan Stablecoin Seiring Aset Kripto Jadi Bagian dari Hasil Q2

cointelegraphPubblicato 2026-07-28Pubblicato ultima volta 2026-07-28

Introduzione

Raksasa pembayaran global PayPal menyoroti stablecoin dan alat pembayaran berbasis kecerdasan buatan sebagai bagian dari strategi kuartal keduanya, sementara aset kripto tetap menjadi bagian dari rekonsiliasi pendapatannya. PayPal melaporkan laba per saham (EPS) Q2 sebesar $1.26, sedikit di bawah perkiraan analis dan periode yang sama tahun lalu. Namun, pendapatan mencapai $8.68 miliar, mengungguli konsensus. Perusahaan juga mencatat penyesuaian non-GAAP sebesar $81 juta terkait keuntungan dan kerugian dari investasi strategis dan aset kripto yang dipegang untuk investasi. PayPal mengecualikan item ini dari hasil non-GAAP karena tidak aktif memperdagangkannya. Dalam presentasi investor, PayPal menyatakan ekspansi ke pembayaran agenik, stablecoin, serta teknologi identitas dan biometrik dengan memanfaatkan jaringan pembayaran dan infrastruktur risikonya. Platform PayPal World juga memfasilitasi volume pembayaran sekitar $200 juta antara Venmo dan PayPal.

Raksasa pembayaran global PayPal menyoroti stablecoin dan alat pembayaran berbasis kecerdasan buatan sebagai bagian dari strategi kuartal keduanya, sementara aset kripto tetap menjadi bagian dari rekonsiliasi pendapatannya.

PayPal melaporkan pendapatan Q2 sebesar $1,26 per saham pada hari Selasa, dibandingkan dengan $1,30 per saham pada periode yang sama tahun lalu dan di bawah perkiraan analis sebesar $1,28. Pendapatan mencapai $8,68 miliar, naik dari $8,29 miliar setahun sebelumnya dan melampaui konsensus analis sebesar $8,47 miliar.

Perusahaan juga mencatat penyesuaian non-GAAP sebesar $81 juta terkait keuntungan dan kerugian dari investasi strategis serta aset kripto yang dipegang untuk investasi. PayPal menyatakan bahwa mereka mengecualikan keuntungan dan kerugian dari investasi strategis serta aset kripto yang dipegang untuk investasi dari hasil non-GAAP karena tidak secara aktif memperdagangkan aset-aset tersebut atau mengandalkannya untuk mendanai operasional berkelanjutan.

Dalam presentasi investor Q2-nya, PayPal mengatakan sedang berekspansi ke pembayaran agenik, stablecoin, identitas, dan teknologi biometrik dengan memanfaatkan jaringan pembayaran, infrastruktur risiko, dan kemampuan kepercayaannya. Perusahaan juga menyatakan bahwa platform PayPal World-nya memfasilitasi sekitar $200 juta dalam total volume pembayaran antara Venmo dan PayPal.

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Breaking: Google Earth Urgently Pulls Back Nano Banana 2 Image Generation Feature!

Google Earth's newly launched "Create image" feature, powered by the Nano Banana 2 AI image generation model, was abruptly withdrawn shortly after its release due to being "played" by users. The feature allowed users to generate and overlay AI-created visuals directly onto real-world satellite and 3D maps in Google Earth. The tool enabled creative applications like historical recreations (e.g., visualizing ancient Pompeii), generating informational graphics for landmarks, and envisioning architectural projects or futuristic cityscapes on real terrain. It operated under "geospatial grounding," meaning the AI respected the underlying geography, topography, and perspective of the chosen map view. The model also integrated with Gemini to retrieve relevant factual information. However, upon release, users quickly tested its limits. A prominent example involved reimagining Philadelphia's historic Independence Hall as a post-apocalyptic ruin overrun by "happy" zombies, evil clowns, and giant alien mechs. This highlighted both the feature's playful potential and its risks regarding the generation of inappropriate or misleading content on realistic maps, leading to its swift temporary removal. Google stated it would re-release the feature after implementing "enhanced guardrails." Analysts note this move strategically leverages Google's vast proprietary geospatial data, positioning its AI not just for artistic generation but for spatially accurate world visualization—a unique advantage in the competitive AI image generation landscape.

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Breaking: Google Earth Urgently Pulls Back Nano Banana 2 Image Generation Feature!

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Altman Admits: Overestimated AI Snatching Jobs! Huang Renxun: The Unemployment Narrative Is Completely Backwards

Sam Altman has revised his earlier predictions about AI rapidly replacing jobs, admitting he overestimated the speed at which AI would eliminate entry-level white-collar roles. Speaking on the "Invest Like the Best" podcast, he stated that people do not truly want an AI CEO, as accountability and human connection remain critical. He found that individuals prefer interacting with people who can be held responsible for decisions. Similarly, NVIDIA's Jensen Huang argued that the narrative of AI destroying jobs is misguided. He distinguishes between tasks and jobs, noting that while AI can automate specific tasks, entire jobs—encompassing communication, judgment, coordination, and accountability—are not eliminated. He cited examples like radiologists and software engineers, where demand for these roles has increased as AI handles repetitive tasks, allowing for business expansion and the creation of more positions. Data from a University of Maryland and LinkUp study supports this, showing that U.S. job postings for new graduates have actually risen, countering the fear of vanishing entry-level roles. However, a significant shift is occurring: the traditional entry-level tasks that help newcomers gain experience are being automated, making initial career access more challenging. The key insight is that as AI takes over standardized tasks, the enduring value of human work shifts toward areas of responsibility, trust-building, and final decision-making—aspects that AI cannot replicate. The real "moat" for professionals lies in these irreplaceable human elements.

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Altman Admits: Overestimated AI Snatching Jobs! Huang Renxun: The Unemployment Narrative Is Completely Backwards

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Weekly Editor's Picks (0725-0731)

Weekly Editor's Picks (0725-0731) provides a curated selection of deep analysis, filtering out market noise. Key themes from this week include: **Macro & Policy:** The Federal Reserve's upcoming meeting is marked by high uncertainty, balancing cooling inflation data against persistent price pressures. Meanwhile, the U.S. crypto regulatory Clarity Act faces critical political hurdles, with its 2026 passage probability seen as low. **Investing & Crypto:** Analysis suggests long-term crypto success depends on conviction through volatile cycles, focusing on assets like Bitcoin and core smart contract platforms. A trend noted is the increasing similarity between global equity markets (especially tech) and crypto, driven by narrative and leverage. Several major crypto protocols show strong revenue growth, but this isn't always translating to token price appreciation due to sell pressure and structural factors. **AI & Semiconductors:** Nvidia's rising credit default swap rates signal market concern over AI infrastructure financing risks. The storage sector experienced volatility as markets began pricing in potential 2027 oversupply. Despite a record profitable quarter, SK Hynix's results were deemed "below expectations," reflecting heightened investor demands for future growth visibility. **Markets & DeFi:** TradeXYZ demonstrated remarkable accuracy in pre-market pricing for a major A股 listing. The token ONDO saw gains, linked to its growing role in the on-chain tokenized stock ecosystem. **Ethereum:** Post-Pectra upgrade, a major structural shift is underway as Lido begins migrating millions of ETH to new validator architectures designed for capital efficiency. **Also Highlighted:** Butian's bullish stock market move; OpenAI's Altman promising major advances; Samsung and SK Hynix securing large AI chip deals; Apple reaching a $5T market cap; and ongoing discussions around exchange security following Poolin's bankruptcy case.

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Weekly Editor's Picks (0725-0731)

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Low Investment Isn't Apple's Immunity Pass

While Meta and Google face investor scrutiny over ballooning AI capital expenditures, Apple's minimal AI investment has paradoxically become a strength. Its market cap recently reclaimed the global top spot, surpassing $5 trillion. The irony is deep: Apple's own AI efforts have lagged, with "Apple Intelligence" delayed and core talent lost, forcing reliance on partners like Google Gemini and Alibaba's Qianwen. Its Q3 FY2026 (Q2 CY) earnings initially seemed stellar. Revenue hit $109.4B (up 16% YoY), with iPhone and Mac sales, growing 22% and 29% respectively, driving most of the growth. However, the stock fell over 8% post-earnings. The primary concern was a weaker Q4 revenue growth forecast of 9-11%, below expectations, due to looming supply chain constraints. Apple is feeling the indirect cost of the AI boom. Soaring memory and chip prices, fueled by massive data center investments from Microsoft, Amazon, and others, are forcing Apple to raise Mac and iPad prices significantly. The upcoming iPhone launch is also expected to see substantial price hikes. Despite avoiding heavy AI infrastructure spending—its capital expenditures are actually down 28%—Apple cannot escape the industry-wide supply and cost pressures. While Apple's operating cash flow remains robust, its substantial R&D spending (up 32% YoY) has yet to yield major AI breakthroughs. As Tim Cook prepares to step down as CEO, Apple faces a challenging transition: balancing its premium hardware success against the strategic and cost pressures of the AI era it has so far cautiously navigated.

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Low Investment Isn't Apple's Immunity Pass

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