Good morning. It's Wednesday, July 1, and we're covering Microsoft's AI market stumble, OpenAI's major efficiency gains, and Anthropic's push to bring near-frontier AI to more users with Claude Sonnet 5.

Plus: yesterday's poll results on sharing AI-generated wealth, and a guest post on using AI to eliminate permitting bottlenecks in housing.

Claude Sonnet 5 delivers near-Opus performance at a much lower cost, bringing advanced agentic AI capabilities to a smaller model. Anthropic launches it as the default model for Free and Pro users, with stronger reasoning, coding, tool use, and autonomous task execution than Sonnet 4.6. Introductory API pricing starts at $2 per million input tokens and $10 per million output tokens through Aug. 31, 2026, before increasing. Safety tests also show fewer undesirable behaviors than Opus models.

AWS is betting that embedding engineers inside customer teams will speed AI adoption faster than software alone. The company is investing $1 billion to launch a Forward Deployed Engineering unit staffed by thousands of engineers who will help customers build and deploy AI systems. Small teams will work alongside client staff and AI agents, joining a growing trend pioneered by OpenAI and Anthropic. Initial customers include the NBA, NFL, and Ricoh.

Arena has grown from a free AI leaderboard into a $100 million business in less than a year by selling model evaluation services. The UC Berkeley spinout reaches a $100 million annualized revenue run rate just eight months after launching AI Evaluations, which provides performance analytics to AI labs and enterprises. Its platform has collected more than 10 million user evaluations, and revenue has climbed from $30 million since January. The company raised $250 million and was valued at $1.7 billion earlier this year.

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You submit your construction plans to the city and wait. Weeks pass, then months. Nobody calls. When you finally hear back, it’s not an approval – you missed one attachment, so you’re back to square one and the bottom of the queue. Too many people know this story, and it’s a big reason housing has become one of the top issues on voters’ minds.

How do we make owning a home more affordable? The conversation usually turns to zoning, funding, density, and land use. Those issues matter. But the bottleneck nobody’s naming sits underneath all of them – the review process itself. And it turns out that’s exactly the kind of problem AI is built to solve. → Read the full article here.

Microsoft has emerged as the weakest-performing member of the "Magnificent Seven" in 2026, with its stock on pace to fall 18% in June—its steepest monthly decline since 2000—and down 24% year to date, wiping out roughly $857 billion in market value. Investors are weighing two simultaneous concerns: the company's heavy AI infrastructure spending and growing uncertainty over how AI could disrupt its core software business.

The selloff has pushed Microsoft's forward price-to-earnings ratio to about 21, its lowest level in roughly three years, prompting debate over whether the stock has become undervalued. Investor Michael Burry added to that discussion after disclosing call options that would profit if Microsoft shares climb into the low $700s by 2028, helping spark a 6% rally. → Read the full article here.

OpenAI engineers have developed new inference optimizations that more than halve the cost of running existing AI models, according to The Information. The techniques reportedly reduced the number of NVIDIA GPUs needed to serve ChatGPT for signed-out users to just a few hundred, though the company has not disclosed the methods or confirmed the results.

The improvements could allow OpenAI to lower API prices, increase ChatGPT usage limits, or improve profit margins as it continues investing heavily in AI infrastructure. The report highlights that software optimizations—not just adding more chips—are becoming a critical competitive advantage as leading AI companies face ongoing constraints in expanding data center capacity. → Read the full article here. (Paywall)

Etched Exits Stealth: AI chip startup raised $800M, secured $1B+ in contracts, and plans to ship its first inference racks this summer.

Claude Science Launches: Anthropic's AI workbench unifies research tools, automates workflows, and creates auditable results for scientists.

OpenAI Unveils GeneBench-Pro: New benchmark tests whether AI agents can make complex scientific judgments in computational biology.

Google Launches Nano Banana 2 Lite: Faster, lower-cost AI image generator creates images in four seconds for high-volume workflows.

8090 Labs Raises $135M: Chamath Palihapitiya's AI coding startup secured a Series A led by Salesforce Ventures as he steps in as CEO.

OpenAI Teases Codex Micro Keyboard: OpenAI previewed Codex Micro, a Work Louder shortcut keyboard built for Codex workflows.

Here's how you voted: Opinion was split, with 34% backing a stock dilution model and 32% rejecting the idea of a universal AI dividend entirely.

Thanks for reading. See you next time!

— Matthew Berman, Nick Wentz & the Forward Future Team