AI Newsletter

Alphabet, Amazon, Meta, and Microsoft will collectively invest around $650 billion in AI infrastructure according to Bridgewater Associates – Amazon alone plans $200B in capex. Gartner simultaneously forecasts global AI total spending of $2.5 trillion for 2026, an increase of 44 percent. This investment wave massively shifts market power toward capital-rich hyperscalers and puts pressure on smaller AI startups.

The AI coding market has grown from $500 million to over $5 billion ARR within a single year – a pace unprecedented in SaaS history. Cursor reached $2B ARR, Anthropic's Claude Code already $2.5B. For companies and founders, this means: AI-assisted programming is no longer a niche tool, but a dominant productivity segment with strategic relevance.

Competition between Anthropic, OpenAI, and Google DeepMind is leading to an erosion of safety guardrails according to Axios: OpenAI closed a deal to provide models for classified networks, while Google DeepMind employees called for 'red lines' on military AI applications in an open letter. Polymarket data shows Anthropic with 79% lead for best model rating in March 2026, further intensifying competitive pressure. Militarization of frontier AI models is a growing systemic risk.

Meta has signed a licensing agreement with News Corp worth up to $50 million per year to use journalistic content for AI products. News Corp CEO describes media companies as indispensable 'input companies' for AI systems. This deal sets a precedent for monetizing training data and could significantly strengthen media companies' negotiating position with other AI labs.

The LA Times demonstrates that AI investments measurably increase business productivity and allow companies to operate with leaner workforces – resulting in dampened employment growth. Jack Dorsey publicly warned of structural upheaval in jobs and corporate profits through AI automation. In parallel, the Reddit thread 'The real AI gold rush is in babysitting' (235 points) shows that the operational effort for AI oversight is underestimated and a new profession is emerging.