The competitive edge in business is moving beyond who can write the best prompt. It is shifting toward who can orchestrate the best digital workflow. For the past two years, much of the AI conversation inside organizations has centered on prompt engineering, chatbot adoption,
MARKET TRENDS
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GenAI drives enterprise ROI as coding agents gain traction
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Enterprise adoption will take awhile, but we have moved past no success – 75% of companies had positive ROI from GenAI in November, and coding agents are now starting to have a real impact at many firms. I think normal adoption does not mean that model abilities aren't growing.
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Token Economics: LLM Utility, Demand, Supply, Monetization
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→Token utility: the model, context length, and level of interactivity required
→ Token demand: the volume of tokens required
→ Token supply: the optimal infrastructure given the token utility and demand
→ Token monetization: cost-based and value-based pricing to maximize -
Composer 2.5 scores 62, price difference makes ‘slightly better’ not worth 60x
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Composer 2.5 scores 62 on the Artificial Analysis Coding Agent Index. The two models above it score 65 and 66. The price difference: $0.07 per task vs. $4–5. At some point "slightly better" stops being worth "60x more expensive," and most engineering teams crossed that point a
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Build Trend Scanner: Research Recent AI Products
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Prompt 1: "The Build Trend Scanner" "I'm interested in [YOUR NICHE, e.g. productivity tools,
developer tools, AI wrappers, personal finance]. Do deep research on what solo developers and indie
builders have shipped in this space in the last 90 days. Search Product Hunt -
Alibaba Qwen 3.7 Max Agentic Coding Model Benchmarks
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Alibaba released Qwen 3.7 Max, its latest proprietary model for agentic coding. Qwen 3.7 Max scores 56.6 on the Artificial Analysis Intelligence Index, outperforming recently released Gemini 3.5 Flash and Kimi K2.6.
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Qwen 3.6 2.5x Faster on Atomic Chat with MTP
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Qwen 3.6 models are now 2.5x times faster on Atomic Chat with new MTP speedups.
— 🚨 AI News | TestingCatalog (@testingcatalog) 21 mai 2026
> MTP drafts several tokens ahead and verifies them in one pass. The speedup depends on the memory moved per pass.
Users can run Qwen 3.6 models locally via the open-source Atomic Chat to test… https://t.co/ML74IS2mHE pic.twitter.com/VPzSdcWqkWQwen 3.6 models are now 2.5x faster on Atomic Chat with new MTP speedups. > MTP drafts several tokens ahead and verifies them in one pass. The speedup depends on the memory moved per pass. Users can run Qwen 3.6 models locally via the open-source Atomic Chat to test
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Anthropic pays SpaceX $1.25 billion monthly for compute, majority revenue
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Anthropic is paying SpaceX $1.25 billion per month for compute. Per month. That's $15 billion a year flowing to a company whose total annual revenue is $18 billion. One AI lab is about to account for the majority of SpaceX's commercial income. We only know this because SpaceX
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Google I/O: Gemini Updates and AI-Powered Search Redesign
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Si vous l'avez raté, Google vient de faire sa plus grosse conférence IA de l'année : GOOGLE I/O Gemini 3.5, Gemini Omni, Gemini Spark. Antigravity 2.0 pour les développeurs. Des lunettes AR avec Samsung.
ET surtout, une refonte complète de Google Search. (gros changements pour -
SpaceX’s AI TAM vs. Anthropic, OpenAI, and Google IPOs
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If the TAM for @SpaceX
's IPO is $26.5 trillion in AI, what's the right number for @AnthropicAI
, @OpenAI and @Google ?