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This Innermost Loop roundup opens with Nvidia’s reported revenue growth, forward guidance, AI-lab financing, and reported acquisition of Hugging Face. It also surveys competition among lower-cost open-weight models and the business implications of serving them efficiently.
Visit originalThis YouTube Short comments on Nvidia’s second-quarter earnings. It frames the results around investor interpretation of the company’s financial performance and its position in the AI market.
Visit originalCoin Bureau shares six prompts for using Grok to analyze stocks and cryptocurrencies. The thread proposes tasks such as producing a buy, hold, or sell view and examining company financials or crypto tokenomics, TVL, revenue, and token unlocks.
Visit originalContent behind a login wall / unavailable — inferred from the link preview: a post by Vijay Pande titled "Let It Crash: How to Steer What Comes After," apparently discussing how to shape outcomes following a disruption or correction in the AI industry. Limited preview text is available beyond the title, so specifics are uncertain.
Visit originalThis Substack newsletter by Jamin Ball examines the unit economics of neocloud businesses renting GPU infrastructure, arguing that GPUs retaining value beyond initial contract terms could let neoclouds recontract for inference workloads and boost profitability. It also includes a weekly market update on cloud software company valuations and growth metrics.
Visit originalThis ARK Invest video features CEO Cathie Wood arguing that Wall Street has the inflation narrative backwards, presenting a framework where AI drives structural deflation through falling training and inference costs. She discusses AI's effects on productivity, capital expenditure, and labor markets, including pressure on entry-level and software developer jobs. The episode ties macroeconomic indicators like the yield curve, oil prices, and housing data to this AI-driven deflationary thesis.
Visit originalThis Substack article explains how SpaceX, OpenAI, and Anthropic are preparing tiny-float IPO structures that could push valuations far above underlying value once they go public. It says Nasdaq rewrote its index inclusion rules so these stocks could be added to retirement funds like 401(k)s within three weeks of listing, forcing broad market exposure to concentrated AI bets. The piece also discusses risks to startup equity holders after lock-up expiration.
Visit originalThis PDF report argues the current LLM-driven AI boom is economically unsustainable, built on unrealistic expectations of near-term superintelligence or AGI. It contends that massive capital expenditures, weak monetization, high losses, and unclear productivity gains make the current business model unsustainable, comparing the dynamic to Uber's investor-driven hypergrowth strategy. Chat messages referencing 'Marcelo's World' suggest the document was being discussed in relation to a specific person's viewpoint on AI economics. Source: https://img1.wsimg.com/blobby/go/76c5f9c0-d1a4-4493-b204-bbbdd68fd910/downloads/89583079-d8c1-483f-8988-3c9f5d813d89/HoranAAJ2026LLMbubble.pdf
Visit originalThis Slashdot story reports that Raspberry Pi's stock rose more than 60% above its early-February low, partly attributed to CEO Eben Upton's share purchase and social-media speculation that Raspberry Pi single-board computers could see rising demand for running AI agents such as OpenClaw. It notes Raspberry Pi 5 pricing has increased, with a top-spec 16GB model exceeding $200, and includes debate over whether the hardware is well suited for agent workloads. Source: https://build.slashdot.org/story/26/02/23/0012259/raspberry-pi-stock-rises-over-its-possible-use-with-openclaws-ai-agents
Visit originalIn this ARK Invest video, CEO Cathie Wood explains why recent market volatility may be driven more by algorithmic selling than fundamentals, and why she believes AI represents the biggest investment opportunity of our lifetime. She discusses the shift from one-size-fits-all SaaS software to agentic AI platforms and how accelerating productivity could challenge conventional inflation assumptions. The video also touches on Bitcoin's supply dynamics and broader macroeconomic implications of the AI boom.
Visit originalThis Forbes article reports that shares of major wealth management firms fell after fintech company Altruist announced an AI-powered tax-planning tool. The tool, built into Altruist's Hazel AI platform, creates personalized tax strategies by reading financial documents and answering 'what-if' questions within minutes. The article frames the stock declines as investor concern that AI could disrupt financial advice, compress fees, and shift market share among wealth management firms.
Visit originalThis Nate B Jones video explains how a short open-source markdown prompt from Anthropic's Claude Co-work legal plugin coincided with a large drop in market value for legal and enterprise software companies. It argues the prompt exposed a pre-existing weakness in per-seat SaaS pricing when AI agents can perform work without a human logging in, rather than causing the disruption itself. It also discusses a KPMG audit-fee negotiation as evidence AI is already pressuring professional-services pricing.
Visit originalThis Clouded Judgement newsletter post by Jamin Ball examines software stock valuations, public SaaS company performance, and how AI could reshape the software industry. It discusses declining revenue multiples, hyperscaler capital expenditures, and arguments from software bears and bulls about vibe coding, AI agents, and whether legacy SaaS businesses will be pushed toward middleware. It concludes that software may have stronger short-term moats than the market expects, though AI agents could still reduce expansion revenue for incumbents.
Visit originalThis article reports that fears AI will destroy software businesses appear overstated, with a D.A. Davidson analyst arguing that visible disruption would already be evident if it were happening. It notes software companies are still attracting investment because they provide foundational technology for AI, and lists stock picks from D.A. Davidson, Piper Sandler, and Truist Securities including Commvault, Datadog, Rubrik, and Snowflake.
Visit originalDavid Shapiro argues the current AI boom is not a pure speculative bubble but a large-scale industrial investment cycle backed by real cash flow and infrastructure demand. He contrasts today's AI spending with the dot-com era, noting major tech firms have substantial operating cash flow and AI compute remains capacity-constrained. He introduces the 'J curve' and 'solo paradox' to explain why productivity gains from AI may lag investment until roughly 2027-2032.
Visit originalScott Galloway's annual predictions post covers AI and tech for 2026, forecasting a correction in AI stocks, a bursting data-center bubble, and rising competition to the Nvidia/OpenAI duopoly. It discusses China's role in AI model 'dumping,' infrastructure and power constraints for data centers, and AI's growing impact on retail, Hollywood, prediction markets, and synthetic companions. The piece frames these as forecasts for how AI, robotics, and platform shifts will reshape business and society.
Visit originalThis video compares the current AI boom to the 1990s dot-com bubble, using the history of 'dark fiber' overbuilding as an analogy for today's Nvidia chip and data-center buildout. It examines three assumptions the AI boom depends on: continued model improvement, the need for more data centers, and sufficiently broad AI adoption, discussing multimodal learning difficulty, power-grid constraints, and ChatGPT's unusual retention curves. It concludes AI's trajectory may be a stranger, bigger phenomenon than a classic bubble, referencing Jevons' Paradox and DeepSeek.
Visit originalThis Medium article explains investor Howard Marks's view that AI is in an 'inflection bubble' — a real technological breakthrough that may still trigger a major market crash. It contrasts 'mean-reversion' bubbles with 'inflection' bubbles, arguing AI infrastructure and long-term impact could persist even if stock prices collapse. The piece warns about circular financing in Big Tech AI deals and heavy debt funding data centers and chips, then offers investment guidance like diversification and avoiding leverage.
Visit originalThis Medium article by Audrey Xie argues that the AI investment boom is quietly shifting roughly $12 trillion in economic risk toward workers, users, and institutions rather than eliminating it. It cites an MIT-backed study claiming 95% of organizations experimenting with generative AI saw "zero return," framing this as evidence that AI adoption is proving slower and more costly than hyped.
Visit originalThis shared Perplexity search result explains ways to invest in data centers, highlighting data center REITs as the most accessible option for most investors, alongside direct facility purchases, developer investments, and stakes in power/infrastructure suppliers. It cites AI and cloud growth as key demand drivers and names U.S. hotspots like Virginia and Texas.
Visit originalThis Medium article by Audrey Xie examines Alphabet CEO Sundar Pichai's comments describing the AI investment boom as containing "elements of irrationality," warning that even Google wouldn't be immune if the bubble burst. It frames this shift from confident to cautious executive language as a signal that the AI capital cycle may falter before the technology fully proves its value.
Visit originalThis Apple Podcasts episode of "Exchanges" features Goldman Sachs Research's David Kostin discussing recent equity market volatility, the ongoing AI trade, and where he currently sees investment opportunities. He also reflects on his 31-year career at Goldman Sachs ahead of his retirement as chief US equity strategist at the end of 2025.
Visit originalThis Medium article by Sahil Nair argues that a sharp market selloff, in which the S&P 500 fell nearly 4% and wiped out over $2.7 trillion in value, signals the start of a broader unraveling of AI market enthusiasm. It notes Nvidia shares fell despite strong earnings and an $80 billion next-quarter sales forecast, framing the event as evidence of AI hype cooling.
Visit originalThis is an episode page for Bloomberg Surveillance, a daily business news podcast covering finance, economics, and investing, hosted by Jonathan Ferro, Lisa Abramowicz, and others. Chat context suggests this episode discusses muted market reaction to Nvidia's earnings amid concerns about slowing growth.
Visit originalContent behind a login wall / unavailable — inferred from link context: based on the URL, this Register article likely discusses concerns that AI industry valuations and hype have become overinflated, echoing broader 2025 commentary about a potential AI investment bubble from figures like Sam Altman and other tech leaders.
Visit originalThis SFist article reports that prominent Silicon Valley figures, including Sam Altman and Eric Schmidt, are increasingly warning that the AI boom resembles a bubble. It cites reports that Meta's AI hiring spree is abruptly slowing and that traders are buying downside protection against a potential tech stock sell-off. It also references a New York Times op-ed by Schmidt and Selina Xu arguing that Silicon Valley's fixation on AGI may distract from using existing AI capabilities effectively.
Visit originalOpenAI CEO Sam Altman said investors are likely overexcited about AI, comparing the current moment to the dot-com bubble, according to this Futurism article. It discusses OpenAI's massive valuation and heavy investment from Microsoft, SoftBank, and Nvidia, alongside Altman's expectation that OpenAI will keep growing even if a broader bubble bursts. The piece also notes his forecast of trillions of dollars in future data center spending.
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