In partnership with
Happy middle of your work week…
Today, we explore AI’s trillion-dollar spending spree.
Hit reply and let us know what you think (we read all of your kind words).
Coffee at the ready…
The Big Sip
The take: The AI spending race has an $800 billion problem: nobody's figured out how to pay for it.
What happened: IBM CEO Arvind Krishna told The Verge's Decoder podcast that the industry's planned 100 gigawatts of AI data centers would cost $8 trillion. And require $800 billion in annual profit to cover interest.
Why it matters: The Bank of England just warned that this debt-fueled AI boom could unravel, with "materially stretched" stock valuations and early stress signals already showing up in credit markets.
What to watch: Whether any hyperscaler blinks first—the first company to slow spending could trigger a broader reassessment of what all this infrastructure is actually worth.
Google wants to build data centres in space.
Sponsor Break
Before we slurp into today’s brew…
Here are some wordies from today’s sponsor.
Your competitors are already automating. Here's the data.
Retail and ecommerce teams using AI for customer service are resolving 40-60% more tickets without more staff, cutting cost-per-ticket by 30%+, and handling seasonal spikes 3x faster.
But here's what separates winners from everyone else: they started with the data, not the hype.
Gladly handles the predictable volume, FAQs, routing, returns, order status, while your team focuses on customers who need a human touch. The result? Better experiences. Lower costs. Real competitive advantage. Ready to see what's possible for your business?