Benedict's Newsletter: No. 641

Benedict Evans··12 min read
AI/MLTechnologyBusiness
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AI Summary

Benedict Evans' newsletter No. 641 covers Q1 2026 big tech earnings showing $700bn in combined data centre capex plans, the ongoing OpenAI-Microsoft relationship restructuring, and China's forced reversal of Meta's ~$2bn Manus acquisition. The issue also covers AI pricing shifts away from flat-rate subscriptions toward usage-based models, OpenAI revenue misses, and a new Deepseek model release.

Key Facts

Amazon, Meta, Microsoft, and Alphabet plan to spend ~$700bn on data centres in 2026, up from $400bn in 2025, signalling continued AI infrastructure investment despite mixed market reactions.
China ordered the reversal of Meta's ~$2bn acquisition of agentic AI company Manus, creating an unresolved unwind problem as IP and people are already integrated into Meta's ad systems.
Anthropic and GitHub are both shifting from flat-rate to usage-based pricing as agentic coding drives orders-of-magnitude increases in token and compute consumption.

Author Takes

BearishBenedict Evans

Foundation model commoditisation

The Microsoft-OpenAI hosting exclusivity breakup is fundamentally about the ongoing commoditisation of foundation models, not just capacity management or politics.

BearishBenedict Evans

OpenAI competitive position

OpenAI lacks unique tech, has limited user engagement and stickiness, no network effect, and incumbents have matched the tech while leveraging superior product and distribution.

NeutralBenedict Evans

AI pricing shift

The move from flat-rate to usage-based AI pricing mirrors mobile data pricing in the early smartphone era, driven by the same mismatch between flat-rate economics and significant marginal cost.

BearishBenedict Evans

Meta capex and ROI

Meta's AI ROI must come purely from better ad yields and vague 'stuff' without an enterprise cloud business, and investors remain upset about ~$100bn spent on Metaverse.

SkepticalBenedict Evans

China Manus deal reversal

Unwinding the Manus deal is easier said than done since there are no physical assets to return, just IP, know-how, and people already integrated into Meta for months, and there is no due process.

NeutralBenedict Evans

Deepseek new model

Deepseek's new flagship model is merely OK, landing at the bottom of the top dozen, without the shocking cost savings that caused panic a year ago.

Contrarian Angle

Usage-based token pricing replacing Flat-rate monthly AI subscriptions

Anthropic and GitHub are both shifting from flat-rate monthly pricing to explicit usage charges as agentic coding drives orders-of-magnitude more compute consumption.

Engineers switching from Flat-rate monthly AI subscriptions to Usage-based token pricing

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