May 6, 2026
Capex and Clapbacks
Am I Meant to Be Impressed?
Billions spent, receipts missing, and the comments are absolutely brutal
TLDR: The article says big tech is spending eye-watering amounts on AI while struggling to clearly prove the payoff. Commenters immediately turned it into a brawl, with some calling the warning fair and others mocking the author as obsessed, inconsistent, and way too angry to be trusted.
Ed Zitron’s latest broadside is basically a giant neon sign flashing “Why are the biggest tech companies spending mountains of money on artificial intelligence if they can’t clearly show what it’s earning?” He argues that firms like Microsoft, Google, Amazon, and Meta are on track to pour staggering sums into AI systems over the next two years, while giving the public lots of buzzwords and very few clean, easy-to-understand money figures. In plain English: the article says the hype is huge, the spending is even bigger, and the proof is weirdly slippery.
But the real fireworks are in the comments, where readers split into two loud camps: Team “he’s right, this is smoke and mirrors” and Team “this guy has AI derangement syndrome.” One commenter dragged Zitron for allegedly contradicting his earlier takes on whether people even find these tools useful, while another sneered, “People pay for this?” Ouch. Others said his complaint about current spending is unfair because giant projects take time to pay off — basically, you don’t plant a tree and yell at it for not being a forest tomorrow.
And then came the comedy. One reader asked if AI had “run over this guy’s dog,” which pretty much captures the mood of people exhausted by his all-out anti-AI crusade. Another offered a cooler long-game prediction: today’s spending spree could eventually make the tech cheaper for everyone. So yes, the article is about money — but the comments turned it into a full-on cage match over whether AI is a scam, a slow-burn revolution, or just Ed’s personal supervillain.
Key Points
- •The article says Microsoft, Google, Amazon, and Meta are projected to spend $800 billion to $900 billion on AI capital expenditures in 2026 and more than $1 trillion in 2027, citing CNBC.
- •It states that cumulative big tech AI capex could reach about $2 trillion by the end of 2027.
- •The article argues that major companies are emphasizing AI-driven growth while not clearly disclosing AI-specific revenue figures.
- •Google is cited as saying Gemini Enterprise had 40% quarter-on-quarter growth, while the article notes that no specific AI revenue figure is provided.
- •Meta’s GEM generative ads model is referenced as contributing to a 5% increase in Instagram ad conversions and a 3% increase in Facebook Feed ad conversions in Q2 2025.