Oracle collected $10B in prepayments and added $26B to RPO backlog with customers paying upfront for CapEx, proving the infrastructure is valued beyond commodity status and reducing Oracle'…

A growing split exists between AI safety advocates urging development pauses and government/industry leaders who view existential risk concerns as overblown compared to the strategic impera…

Anthropic's threat report details systematic IP theft by Chinese AI firms using distillation and account fraud, escalating US-China tech tensions ahead of Trump-Xi meeting and reinforcing e…

The Trump administration's top tech official dismisses existential AI risk narratives, framing safety as a solvable engineering and regulatory challenge akin to automotive history, while pr…

A Pentagon technology official dismissed existential AI risk talk, arguing harms can be mitigated through free markets, industry collaboration, and government engagement. Meanwhile OpenAI's…

Anthropic's threat report claims Moonshot AI used 5,000 fraudulent accounts to route 300,000 user requests through Claude and present outputs as their own Kimi K3 model, highlighting system…

Chinese firms systematically extracting data from US models via distillation and unauthorized access; Anthropic blocks China access citing geopolitical risk; Trump prioritizes beating China…

Chinese companies are allegedly using distillation and unauthorized access to US models to accelerate their own development, reinforcing US concerns about IP theft and supporting export con…

Anthropic reports that China's Moonshot AI routed ~300,000 user requests through Claude using up to 5,000 fraudulent accounts, presenting outputs as its own to gain competitive edge. This a…

Anthropic's threat intelligence report claims Chinese rival Moonshot AI systematically extracted model outputs via distillation using fraudulent accounts, reinforcing US industry allegation…

The Trump administration's top tech official dismisses existential risk narratives, arguing AI safety should be addressed through industry-government collaboration akin to automotive safety…

Catherine Rivera estimates AI adds ~0.5pp to US GDP but the Fed's rate hikes fight the wrong battle — AI-driven productivity gains that would lower inflation are 5-10 years out, while near-…

While AI adds ~0.5% to US GDP, the massive debt accumulation by hyperscalers creates bubble risk not in equities but in balance sheets; productivity gains are 5-10 years out, so Fed rate hi…

Fed hiking cycle (shallow) discounts long-duration tech cash flows; AI buildout is inflationary near-term (chips, hardware) but disinflationary long-term via productivity — though adoption…

The massive AI infrastructure investment cycle is inflationary near-term but disinflationary over 5-10 years as productivity gains emerge; currently it offsets economic weakness elsewhere a…

AI spending drives near-term inflation (chips, hardware, power) but will be disinflationary over 5-10 years as productivity increases; however, adoption into real economy is slow, so Fed ca…

AI drives up prices for chips and hardware in the near term, but productivity gains that would bring down inflation have not yet materialized and won't for the foreseeable future. Adoption…

Market will demand additional returns on massive AI investment; recommends protective puts on tech when VIX below 15; concern about bubble in debt magnitude not equities.

AI capex is a macro story adding ~50bps to US GDP, creating countervailing winds against Fed tightening. The market will demand returns on massive hyperscaler investment; meanwhile debt acc…

With the Fed likely hiking rates into a 6% fiscal deficit, tech equities face valuation pressure from higher discount rates; protective puts are warranted when VIX is below 15, while midter…

Catherine Rivera identifies a potential bubble in the magnitude of debt accumulated by hyperscalers for AI buildout, advocating hedged equity exposure rather than liquidation given complace…

Lior Susan argues 85% of global GDP resides in physical industries (manufacturing, semiconductors, defense) now undergoing AI-driven automation and autonomy convergence; Eclipse's portfolio…

Physical AI spanning manufacturing, semiconductors, defense, and robotics is where automation meets autonomy, potentially enabling US GDP growth above 5%. Companies in semiconductors, energ…

The 85% of global GDP in physical industries (manufacturing, semiconductors, defense) is being transformed by AI-driven automation and autonomy, creating a generational opportunity for star…

85% of world GDP is physical industries (manufacturing, semiconductors, defense); AI-driven automation and autonomy meeting in these sectors creates unprecedented opportunity for US reindus…

Lior Susan argues the convergence of AI, automation, and autonomy across physical industries represents a generational opportunity to reindustrialize the US, with Eclipse's portfolio spanni…

Neil Susan argues that investing in physical AI — automation, autonomy, and advanced manufacturing — can lift US economic growth back to over 5% annually, creating a structural tailwind for…

Physical AI — combining automation, autonomy, and AI in the physical world (manufacturing, semiconductors, defense, robotics) — represents 85% of global GDP and offers a historic opportunit…

Early-stage funds focused on physical AI (compute, energy, defense, manufacturing) are generating strong realized returns as portfolio companies reach public markets, attracting LP capital…

Founders experiencing rapid wealth creation (seed to large rounds in months) need guidance to focus on long-term substance and principles rather than valuation; Eclipse advises ignoring val…

The massive power requirements of AI data centers are creating a new class of large-scale energy infrastructure companies, representing a significant investment opportunity within the physi…

He argues that growing local opposition and regulatory uncertainty threaten to slow data‑center build‑out, raising costs and delaying returns on AI infrastructure investments.

Lior Susan reports strong LP appetite for new funds targeting the analog-to-digital transformation of physical industries, citing successful exits like Cerebras and potential SpaceX liquidi…

Microsoft's multi-year plan to more than triple its data center fleet to ~38GW reflects severe compute shortages that are already causing lost revenue (e.g., Chinese e-commerce customer div…

Microsoft is on a trajectory to more than triple its data center fleet to ~38GW over multiple years, up from 12GW today (2GW for AI), driven by compute constraints that have forced it to tu…

The AI compute landscape is diversifying beyond GPUs — Microsoft reports growing CPU needs for inference workloads, while specialized architectures like Cerebras are achieving commercial su…