The Adjacent Brief — May 1, 2026
Big Tech Q1 earnings landed with record capex numbers. Meta, Alphabet, Microsoft, and Amazon together spent $130B in the quarter, with full-year projections reaching $725B.
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Big Tech Q1 earnings landed with record capex numbers. Meta, Alphabet, Microsoft, and Amazon together spent $130B in the quarter, with full-year projections reaching $725B.
SAP’s new API policy bars partners from routing its data into third-party AI systems, putting enterprise software integrators in a difficult position as AI becomes the default middleware layer. Parent coalitions in Salt Lake City and New York City secured rollbacks of school technology policies.
OpenAI is renegotiating its cloud dependency on Microsoft, routing workloads to Oracle and potentially Amazon as its infrastructure needs outgrow any single provider.
DeepSeek slashed V4-Pro API prices by 75% and cut cache costs to a tenth, undercutting OpenAI, Anthropic, and Google across the board.
China directed ByteDance, Moonshot AI, and other domestic tech companies to reject US capital without state approval, following Meta’s Manus acquisition. Perplexity added $150M in ARR in 30 days.
A poll of 4,000 US and UK workers finds that the highest-earning, most experienced employees are adopting AI tools far faster than everyone else — productivity gains are landing where leverage was already highest.
Meta is tracking employee keystrokes and mouse movements to train AI agents, drawing internal backlash — and separately, Zuckerberg is building an AI avatar to simulate his own decision-making.
Americans are using buy-now-pay-later loans for groceries and 401(k) hardship withdrawals are climbing back toward pandemic levels. The FTC settled a twelve-year-old facial-recognition case against Clarifai, and Gary Marcus warns against trusting chatbots for medical advice.
Three signals in one day point in the same direction: AI is generating real, measurable productivity gains at the tool layer — Intercom reportedly doubled engineering velocity with Claude Code — while the institutional layer is running behind, with Australia’s markets regulator flagging Anthropic’s
Three clusters of signals in one day point in the same direction: AI is crossing from digital tool into physical and operational system faster than institutions or public opinion can absorb it.
The institutions that built AI are now managing the wreckage — Anthropic degrading its own product, banks failing biometric checks at scale, deepfake nudes spreading through schools faster than any policy can follow.
Anthropic just crossed a $30B revenue run rate and is now building its own chips — the enterprise subscription model is proving out in real time, while OpenAI’s pivot to advertising reveals that consumer AI still hasn’t found a self-sustaining business.