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SoftBank's 46th annual shareholder meeting, led by Masayoshi Son, has drawn mockery for its unconventional presentation slides, with Financial Times' Bryce Elder comparing the spectacle to an "Untethered Goose Game."

The article argues that the current AI industry is fueled by unsustainable hype and investment, leading to a market bubble reminiscent of past tech crashes. It warns that the massive financial burn and lack of real-world utility could result in a harsh correction. The author suggests letting the AI bubble burst to clear out speculative excess.

The AI industry is currently losing, facing significant challenges and setbacks that have shifted the landscape of artificial intelligence development and investment.

The author explains they are starting a new series called "Notes From The Bubble" because their planned "Hater's Guide" was not feasible due to a long, busy period with limited time remaining in the week.

The article appears to be a promotional piece for a paid newsletter, offering subscriptions at $70/year or $7/month for access to lengthy weekly analyses covering topics like NVIDIA and Anthropic. No substantive news content is provided in the excerpt.

The article discusses the author's exclusive report on OpenAI's audited financials for 2024-2025, revealing that the company spent $34 billion while generating only $13.07 billion in revenue, sparking debate about the sustainability of such spending in the tech industry.

The article argues that despite massive investment in AI, there is little evidence of meaningful return on investment so far. It examines the disconnect between AI hype and actual value generation across industries.

The article argues that progress in AI development is decelerating, challenging the narrative of rapid and continuous advancement in the field.

The author continues their three-part series examining scenarios that could cause the AI bubble to burst, building on previous discussions about potential market risks and overvaluation in the AI sector.

The author revisits their critique of the AI industry with a third installment in their "Hater's Guide To The AI Bubble" series, following two previous pieces that examined what they see as unsustainable hype and overvaluation in the artificial intelligence sector.

OpenAI and Anthropic have filed paperwork to go public, seeking exit liquidity despite burning billions of dollars annually with no clear path to profitability, signaling what the author believes may be the end of the current Silicon Valley era.

The article is a promotional pitch for the author's premium newsletter, which costs $70 per year or $7 per month and offers weekly in-depth analyses (5,000 to 18,000 words) covering topics such as NVIDIA and Anthropic.

OpenAI's losses grew nearly eightfold in 2025, with total spending reaching $34 billion, according to exclusive financial data. The dramatic increase in spending significantly outpaced revenue growth, highlighting the immense costs of scaling AI infrastructure and operations.

The article discusses how business executives and "business idiots" are regaining power in the tech industry, often pushing aside engineers and product-focused leaders. It critiques the rise of corporate jargon, short-term thinking, and MBA-driven decision-making that prioritizes metrics over meaningful innovation, arguing this trend is stifling creativity and damaging long-term company value.

The article continues the "What If We're In An AI Bubble?" series, examining potential consequences of the current AI boom and questioning whether the industry's rapid growth and investment are sustainable or indicative of a speculative bubble.

According to The Information, OpenAI generated $5.7bn in revenue in Q1 2026 but had a negative 122% non-GAAP operating margin, meaning it lost $1.22 for every dollar of revenue earned. ChatGPT growth has also reportedly stalled.

The Wall Street Journal reported that Anthropic is approaching its first profitable quarter, with revenue expected to more than double to $10.9 billion in Q2, driven by explosive growth. The article examines the claim of operating profit (EBITDA) profitability.

The article argues that the high cost of developing and deploying AI systems makes the technology economically unsustainable, questioning whether the massive investments by companies like NVIDIA and Anthropic can yield sufficient returns to justify the expense.

The article argues that many predictions about AI's future are wrongheaded extrapolations, such as the idea that current models will lead to AGI and create a permanent underclass unable to build software or perform computer-based jobs.

This piece discusses the challenges and hidden dynamics behind the massive buildout of data centers for AI, questioning where all the promised infrastructure actually is and examining the economic and logistical hurdles facing the industry.

The article argues that the AI industry is trapped in a "circular economy" where companies like Anthropic rely on external investment to pay massive cloud computing bills, rather than generating enough revenue to be self-sustaining.

The article is a promotional pitch for the author's premium newsletter, which costs $70 per year or $7 per month and offers weekly newsletters of 5,000 to 18,000 words with detailed analyses of companies like NVIDIA, Anthropic, and OpenAI.

The article argues that AI compute demand constraints are not caused by genuine demand but by the desperation of hyperscalers and the greed of two near-trillion-dollar companies living off their predecessors' success.

OpenAI projects that its $20-a-month ChatGPT Plus subscriptions will drop from 44 million in 2025 to 9 million in 2026. The company expects to offset the decline by increasing subscriptions to its cheaper, ad-supported ChatGPT Go tier, priced at $5 to $8 per month depending on the region.

GitHub Copilot is shifting to usage-based billing, confirming a prior report. The move reflects broader doubts about the sustainability of AI business models, as the economics of AI services often don't add up under current pricing and cost structures.

The article argues that the economic assumptions behind the current AI boom are fundamentally flawed, suggesting that the massive investments in AI infrastructure and models do not translate into sustainable returns. It questions the disconnect between the hype and the actual financial realities facing AI companies.

The article describes a tense January 2025 meeting where Oracle CEO Larry Ellison flew to Washington DC to discuss the company's role in building OpenAI's data center infrastructure. It explores the power dynamics between Oracle and OpenAI, suggesting OpenAI may be positioning itself to eventually reduce reliance on Oracle's cloud services.

Microsoft will transition all GitHub Copilot subscribers to token-based billing starting in June. Copilot Business customers will pay $19 monthly per user with $30 in pooled AI credits, while Enterprise customers will pay $39 monthly with $70 in credits.

Anthropic has removed access to Claude Code from its $20 monthly Pro subscription plan for new users. Current Pro subscribers appear to retain access through the web app. Documentation now references Claude Code as exclusively available through the Max Plan.

The article discusses four major concerns about artificial intelligence development, framing them as the "Four Horsemen of the AIpocalypse." It analyzes potential risks and challenges associated with advanced AI systems.