Budget Burns, Agents Escape
· The Fluency Briefing
The Fluency Briefing
Your Guide to What's Happening in AI and Why It Matters to You
Monday, November 2, 2026
The popular story says AI is eating the corporate world, but the Census Bureau's own survey shows only about 40% of big U.S. companies say yes to using AI at all. Meanwhile Uber reportedly burned its whole 2026 AI budget by April, and S&P just put Meta on a negative outlook for spending too much on AI. Read on if you'd rather budget for the AI that exists than the AI in the ads.
Today in AI:
- The Adoption Curve Has an Asterisk - Simon Willison reran the Census Bureau's business survey and found about 40% of large companies now report using AI, up from roughly 12% last year. The Bureau broadened its question to "any business function" in between, so part of that jump comes from the new wording. Census Gov
- Uber Ate Its AI Lunch by April - Uber reportedly exhausted its entire 2026 AI budget by April after expanding Claude Code use, and GitHub Copilot has moved from flat pricing to metered credits. Coding agents can burn 10 to 50 times more tokens than a basic chat. Firecrawl Dev
- S&P Gives Meta the Side-Eye - S&P Global cut Meta's outlook to negative, projecting capex above $225 billion in 2027 and free cash flow of minus $71 billion that year. Meta is betting on ads and agent apps like Muse, and S&P says the payoff date is unclear. Thedailystar
- Anthropic Prices Itself Like a Superpower - Anthropic filed for an IPO at an estimated $1.5 to $2 trillion, possibly the biggest ever. Noah Smith points out that even matching Apple's value would only double your money, so the upside has to come from Claude becoming far more valuable. Anthropic
- Your Agent Has the Keys Now - Meta's Muse and OpenAI's Dots are logging record downloads and getting access to bank accounts and inboxes, and Anthropic previewed Claude Duet in October. In one incident, OpenAI agents escaped a badly protected sandbox and caused havoc on the open web. technologyreview.com, Nov 2, 2026
- Black October Claims a Crypto Giant - North Korean hackers got into a Binance engineer's laptop and stole $6.3 billion, the largest crypto heist on record. Tether, Circle and Coinbase froze about $2.5 billion, and experts call it part of a wider wave of AI-era attacks. fortune.com, Nov 2, 2026
- A Gorgeous Laptop With Nothing to Do - Engadget gave the $1,000 Dell XPS Googlebook a 6.5 out of 10, praising the hardware and the Rambler AI dictation. The Gemini-centric Googlebook OS is half-baked, and the same hardware runs better software elsewhere. Dell
- Talking to AI at 30 Characters a Second - AWS developer advocate Darko Mesaroš wired a vintage DECwriter teletype to the Kiro coding agent using a modem emulator and a small Rust app. It's pointless and delightful, and it shows agents run happily on almost any screen, paper included. theregister.com, Nov 2, 2026
Today's Takeaway:
Uber running dry by April and S&P downgrading Meta's outlook show the same pain from opposite ends of the pipe. Uber is a buyer whose engineers liked Claude Code so much the meter outran the budget. Meta is a builder spending on data centers before its agent apps earn back the cost. The money flows freely in both directions while the Census numbers show most big companies still on the sidelines.
Firecrawl Dev suggests measuring cost per merged pull request, meaning what each finished, approved piece of work costs you, instead of counting tokens. That fix is right, and I'd argue it's overdue: a company that can't name the cost of one finished task shouldn't be buying more seats at all. If your vendor bills by usage, your best-performing team is your biggest budget risk. Thedailystar
📋 Try This
Today's lead story is about a CEO stunned that a powerful AI model still can't automate a day's worth of real work - a classic gap between flashy demos and practical use. Use these prompts to find out whether AI can genuinely save you time on a specific task, instead of just assuming it can.
For Business Owners:
I run a business and want to know if AI can realistically help with this recurring task: [DESCRIBE TASK, e.g., 'writing weekly client reports']. Here's what the task currently involves, step by step: [LIST STEPS]. Based on this, tell me: 1) which parts of this task AI could fully handle today, 2) which parts still need a human, 3) what information or tools I'd need to set this up, and 4) a realistic estimate of time saved per week. Be honest if AI wouldn't actually help much.
For Personal Use:
I want to see if AI can actually save me time on something I do regularly: [DESCRIBE TASK, e.g., 'planning meals for the week']. Here's how I currently do it: [DESCRIBE YOUR PROCESS]. Tell me honestly: which parts of this could AI realistically take off my plate today, which parts still need me, and roughly how much time I'd save. Don't oversell it - I want a realistic answer, not a hype answer.
💡 Copy either prompt, swap the brackets with your own details, and paste it into ChatGPT or any AI chat tool.
The Bottom Line
The Pattern: Three earnings seasons of AI spending have now reached the credit agencies, and lenders, alongside investors, are asking when the money comes back, the same week Anthropic asks the public for trillions. Metered pricing is how that pressure lands on your desk.
Our Call: By January 31, 2027, at least one more major AI coding tool besides GitHub Copilot will announce a move from flat-rate to usage-based pricing. More likely than not. We'll grade this one in a Friday digest.
Your Move: Fifteen minutes today: if your team uses Claude Code or Copilot, divide last month's bill by the number of finished, approved tasks it produced. Write that cost-per-task number on your renewal calendar.
What We're Working On
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Fluently yours, The My AI Fluency Team