The semiconductor sector is experiencing its most extreme cycle ever for leading-edge chips, making 5% daily moves normal and requiring investors to look beyond semiconductors for portfolio…

The AI supply chain exceeded expectations in Q2 earnings, pushing 2027-28 estimates higher; critically, half of AI spend comes from enterprise, neocloud, and sovereign buyers—not just hyper…

Q2 earnings across the AI supply chain beat expectations broadly, pushing 2027-28 estimates significantly higher, signaling sustained infrastructure buildout momentum.

Hyperscalers get the attention but enterprises, neoclouds and sovereigns represent half of AI spend and are growing rapidly, broadening the capex base beyond the mega-cap cloud providers.

While hyperscaler capex dominates headlines, enterprises, neoclouds and sovereigns constitute roughly 50% of AI infrastructure spend and are growing faster, representing a critical diversif…

Hyperscalers get the attention, but enterprises, neoclouds, and sovereigns represent ~50% of AI spend and are accelerating rapidly, broadening the demand base beyond mega-cap tech.

While hyperscaler capex gets attention, enterprise, neocloud, and sovereign buyers represent half of AI spending and are growing faster, representing a critical underappreciated component o…

Hyperscalers are proving AI infrastructure pays for itself within three years, then becomes pure cash flow, de-risking the ROI debate and supporting continued investment.

OpenAI's dedicated teen product embeds age-appropriate safeguards, study-focused UX, and explicit policies against anthropomorphism, setting a safety template for AI in education and potent…

Apple's stock has become inversely correlated with AI-exposed semiconductors and hyperscalers, positioning it as a quality safe-haven trade that would benefit if AI infrastructure spending…

Models have crossed a competency threshold enabling autonomous hacking; while long-term AI can verify sandboxes and code mathematically, the next two years will see recurring containment fa…

Frontier model capabilities double roughly every six months for the next two years, expanding autonomous work horizons; safety solutions that work at the 'end state' (AI verifying AI) canno…

Frontier AI models are doubling performance every six months for at least two years, crossing competency thresholds that enable autonomous hacking; pre-deployment testing is essential but c…

GV is shifting more investment partner time to San Francisco due to unprecedented deal concentration, while noting private valuations are rising exponentially driven by massive TAM expectat…

The next major AI value creation will come from applying frontier models to scientific discovery—material science, physics, mathematics—producing breakthroughs that connect with mainstream…

GV is shifting focus to AI-driven scientific discovery, where top models combined with domain expertise are producing unprecedented breakthrough rates in materials, physics and mathematics…

The DOJ is investigating whether two a16z partners improperly serve on boards of competing data-analytics companies (Databricks and Fivetran), a novel test of antitrust enforcement against…