Superhuman
Zain Kahn
7 stories we have summarised that Superhuman covered.
Tech giants carry $3 trillion in unreported AI spending commitments
Nine major tech companies have committed to $3 trillion in AI-related expenses that don't appear on their official financial statements, including $1.2 trillion in data center leases and $1.9 trillion in hardware purchases. Alphabet, Amazon, and Meta have negative free cash flow as a result, meaning they are spending more money than they generate from operations. Investors say these complex, off-balance-sheet deals make it difficult to understand the true financial obligations and risks of these companies.
SuperhumanStudy warns AI automation may reduce future expert workforce
A new paper argues that automating entry-level jobs could shrink the pool of people who traditionally become tomorrow's experts. If junior roles disappear, there may be fewer qualified people available to check AI systems' work in the future. The concern centers on companies prioritizing short-term profit through automation over maintaining a pipeline of skilled professionals.
SuperhumanResearch warns AI adoption could shrink pool of human experts
A research paper argues that widespread AI use could eliminate entry-level jobs that have historically trained new professionals in various fields. Without junior workers gaining experience over years, there may not be enough qualified humans left to verify AI's work within a decade. The concern centers on a potential knowledge gap: if AI handles routine tasks, fewer people will develop the skills needed for senior roles.
SuperhumanNous Research adds Bot Mode to Hermes Desktop app
Bot Mode lets users create multiple AI agents within Hermes Desktop, each with different capabilities and memory. Agents can share information and context with each other across conversations. The app now runs on macOS, Windows, and Linux.
SuperhumanNine tech firms hide $3 trillion in AI spending from balance sheets
Nine major technology companies have $3 trillion in AI commitments not reported as official debt, including $1.2 trillion in data center leases and $1.9 trillion in hardware purchases. Alphabet, Amazon, and Meta now have negative free cash flow, meaning they spend more money than they generate after accounting for these hidden obligations. The off-balance-sheet structure of these deals makes it harder for investors to see the true financial commitments these companies have made to AI infrastructure.
SuperhumanAnthropic's revenue hits $65 billion annualized rate in July 2026
Anthropic's annualized revenue reached $65 billion by end of July, a sevenfold increase from the prior year. The company projects $190 to $200 billion in annual revenue by 2028 and may go public by fall 2026. Anthropic's growth rate significantly outpaces rival OpenAI, which has a $40 billion annualized revenue run rate.
TLDR AISuperhumanAnthropic hits $65 billion annualized revenue, plans 2026 IPO
Anthropic's revenue run rate reached $65 billion by end of July 2026, up sevenfold from the prior year. Company projects $190-200 billion in annual revenue by 2028 and may seek $2 trillion valuation in IPO. Second quarter revenue hit $11.5 billion, a 14-fold increase year-over-year, based on investor update.
TLDR AISuperhuman