Hyperscalers will spend $725 billion on AI infrastructure this year. The users they are spending it on are now actively rejecting the output. Gartner finds 50% of US consumers prefer brands that don't use generative AI. Wikipedia just banned AI-generated content 44-2. Stack Overflow's new-question volume has fallen 78% year over year. Google AI Overviews have collapsed top-page CTR by 58%. This is the structural tension running through every story below: capacity is being added fastest in exactly the parts of the market where buyers are most visibly walking away.

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Quick Hits

1. Haotian AI deepfake ring scams victims out of $4M. 404 Media documents an organised fraud operation running cloned voice and video calls against high-net-worth targets via real-time face-swap on WhatsApp, Zoom, and Teams. The slop thesis is no longer cultural commentary. It is the substrate for an entire fraud economy operating at scale.

2. Publishers sue Meta over pirated books used to train Llama. Five publishers (Elsevier, Cengage, Hachette, Macmillan, McGraw Hill) and Scott Turow filed a class action May 5, alleging Meta torrented 267 TB of pirated content from LibGen and Anna's Archive at Zuckerberg's personal direction. A plaintiff-friendly ruling would reprice every training set in the industry.

3. Meta drops 7% on $145B capex guidance, the harshest market reaction of the cycle. Across hyperscalers, Bloomberg now puts 2026 AI capex past $700B — Alphabet and Microsoft at $190B each, Amazon $200B. SoftBank cut its OpenAI margin loan target 40% to $6B the same week. Two different parts of the capital stack flinched in the same earnings cycle.

4. Wikipedia bans AI-generated content, 40 to 2. English Wikipedia editors voted on March 20 to prohibit using LLMs to generate or rewrite article content across the platform's 7.1M articles. The world's largest open knowledge platform just took the strongest institutional stance yet against AI-written content. The base text of any article must be written by a human.

5. Stack Overflow went from 200,000 monthly questions to nearly zero. Only 3,862 questions posted in December 2025 — a 78% year-over-year collapse from a 2014 peak of 200,000+/month. Some of that is migration to ChatGPT. The rest is community trust eroding faster than the moderation team can rebuild it.

6. Gartner: 50% of US consumers prefer brands that don't use generative AI. A 2026 survey also finds 58% trust brands less for using AI-generated content; only 15% trust them more. 54% report AI fatigue. AI-perceived content gets a 20-35% engagement penalty against human-made equivalents.

7. Google AI Overviews drive a 58% click-through collapse for top results. Ahrefs documents the doubling of the CTR decline in twelve months (34.5% in April 2025, 58% in February 2026). Chartbeat data shows Google referral traffic down 33% globally across 2,500 news sites. The web's foundational compact is breaking.

8. Coca-Cola and Walmart CEOs both cite AI in their decisions to step down. James Quincey (Coke, succeeded March 31) and Doug McMillon (Walmart, succeeded Feb 1) both told CNBC that the next wave of AI was a key reason for handing over the role. Two of the most stable consumer-brand CEOs in the world admitting they are not the right operators to navigate the next phase. That is what "we don't know how this ends" sounds like from the top of the S&P 100.


Every demand signal is pointing down

Strip the noise and the structure becomes legible. Hyperscalers are committing roughly $725B in 2026 capex, about 75% of it AI-specific. Anthropic just committed $200B to Google Cloud over five years — about $40B/year starting 2027, more than 40% of Alphabet's disclosed revenue backlog. In the same window, SoftBank cut its OpenAI-backed margin loan target 40% to $6B after lenders pushed back on the valuation. The first credit-side flinch from a major backer.

Now look at the demand side. Gartner's 2026 consumer panel finds half of US adults would actively prefer brands that don't use generative AI. Half. A February 2026 NBER paper finds 90% of surveyed firms report zero productivity impact from AI deployments. An MIT GenAI study tracks 95% of corporate projects at zero ROI. Microsoft's own Copilot has lost 39% of its market share in six months, with users citing distrust of outputs as the leading reason.

The platform-level data is sharper. Wikipedia banned AI-generated articles in March. Stack Overflow lost 78% of new-question volume in twelve months. cURL ended its bug bounty program after AI-generated slop submissions overwhelmed its security team. Google AI Overviews have cut click-through rates by 58% on top-ranked pages, with 58% of all searches now ending in zero clicks. Publisher referral traffic is down 25% on average, 33% globally on news.

Microsoft is reportedly considering abandoning its 2030 carbon-negative pledge because AI training cycles are pushing its emissions up 24% since 2020. Apple just settled a $250M class action over delayed Siri AI features, with eligible iPhone owners claiming up to $95 each for features Apple marketed but never shipped.

Morgan Stanley's Todd Castagno now models capex-to-sales at 34% in 2026 and 37% by 2028, with data-center debt projected to clear $1T. The dot-com peak was 22%. Goldman Sachs published a note last week conceding the skeptics' valuation case while arguing FOMO would win anyway. When a sell-side bank is openly explaining the spend as psychology rather than fundamentals, that is usually late in the cycle.

This is not a "demand will arrive eventually" story. The data points are getting worse in both directions at once. Capacity is climbing. Consumer trust, publisher trust, contributor trust, and CEO confidence are all moving down on the same timeline.


Key Takeaways

  • Demand is contracting in measurable ways across consumer, platform, publisher, and enterprise tiers. Half of US consumers actively prefer non-AI brands. The two largest open knowledge platforms (Wikipedia, Stack Overflow) are losing content faster than they can replace it. Publishers are losing a third of referral traffic. Copilot is bleeding share. These are not vibes.
  • The capex curve and the demand curve are pointing in opposite directions. $725B 2026 spending against 50% consumer preference for non-AI brands and 95% enterprise zero-ROI. Either the productivity story arrives in late innings, or the supply curve was wrong from the start.
  • "Slop" is now the consumer-side data point. Wikipedia bans, Stack Overflow collapse, McDonald's pulling AI ads, Gartner numbers. Treat the term as a leading indicator on consumer AI demand, not as a meme.
  • Energy, legal, and adoption risk are now coupled to capex. Microsoft's climate U-turn, the Meta books suit, Copilot's churn, the Coca-Cola/Walmart CEO transitions: all downstream of the same buildout. None of these costs were priced in 12 months ago.

Worth Reading


Last week's poll

"When you see a political video clip now, what's your first reaction?" (62 responses)

  • 34% check if it's real before trusting
  • 26% have stopped watching political clips entirely
  • 23% assume it's manipulated until proven otherwise
  • 18% still trust it at face value

82% of readers no longer take AI-era political clips at face value. That same default skepticism is now bleeding into commerce, search, and feeds. This week's question follows the same line.


This week's poll

When users stop accepting AI slop, what happens to the bubble?

Last week, 62 of you voted:

When you see a political video clip now, what\u0027s your first reaction?

  • 👀 Trust it18%
  • 🔍 Check if it\u0027s real before trusting34%
  • 🤖 Assume it\u0027s manipulated until proven otherwise23%
  • 🚪 I\u0027ve stopped watching26%

See full results →


Alexis