The Compute Reckoning: Anthropic Finally Admits What Customers Suspected for Ten Months

Anthropic confirms that its recent customer experience issues were due to compute shortages, after years of speculation, with major capacity deals announced.

The Bubble Is Not in Valuations: It’s in the Productivity Gap

Recent data shows AI’s impact on productivity remains minimal, challenging valuation premiums and highlighting a productivity expectation gap.

The NVIDIA Earnings Preview: What Q1 FY27 Will Reveal About the AI Cycle

NVIDIA reports Q1 FY27 earnings on May 20, 2026, with expectations of around $78B revenue, revealing key trends in the AI cycle and data center growth.

The Anthropic-Blackstone-Goldman JV: Reverse-Engineering the $1.5B Enterprise AI Services Structure

A new $1.5 billion joint venture by Anthropic, Blackstone, and Goldman Sachs aims to embed AI engineering into mid-sized firms, signaling a strategic shift in enterprise AI deployment.

The Google I/O 2026 Preview: What May 19-20 Will Reveal About Google’s Agentic Bet

Preview of Google I/O 2026 focusing on potential announcements about Google’s agentic AI, including Gemini 4.0, multi-agent protocols, and consumer devices, scheduled for May 19-20.

Forward-Deployed: The Integration Wall, and the Role That Now Pays $700K to Climb It

Forward-Deployed Engineers now command up to $700K in total compensation, becoming the highest-paid IC role in tech due to their unique integration responsibilities.

The Memento Constraint: Why Continual Learning Is the Trillion-Dollar Bottleneck Nobody Is Pricing

Exploring how the inability of current AI models to learn continually shapes the enterprise AI economy and why solving this could be a trillion-dollar breakthrough.

The Earnings Call Gap: What Q1 2026 Just Told Us About AI ROI

Analysis of Q1 2026 earnings shows a widening gap between AI investment claims and measurable results, impacting stock performance and investor confidence.

The 2028 Model Lab Endgame: How Six Becomes Two, Three, or Twelve

A scenario forecast explores how six Western frontier AI labs may consolidate into two, three, or twelve by 2028, with significant implications for AI development and capital.