🔦 Signal of the Week: Amazon & Google Lead the AI Spending Race
Big tech giants are in a massive race to build the future of AI. Not just with software, but with hardware, data centres, chips, and infrastructure.
In 2026, two companies are setting the pace:
Amazon is projecting up to $200 billion in capital spending this year.
Google’s parent company, Alphabet, plans around $175–$185 billion.
That’s more than most countries spend on tech and it’s all part of positioning themselves for the next decade of AI dominance.
👓 Founder’s Lens: What I’m Seeing
1. This is more than software, it’s infrastructure.
AI isn’t just models and apps anymore.
It’s compute power (including massive servers, custom chips, and gigantic data centres).
2. Owning the infrastructure gives optionality
Instead of just selling software, companies that control the hardware backbone have the flexibility to launch new services, set industry standards, and absorb market shifts.
3. Investors are watching, not always cheering
Huge spending doesn’t always mean instant profit. Some stocks fell after Amazon announced its capex plans.
4. Cloud giants want lasting advantage
The real prize isn’t who spends the most, it’s who can turn that spending into reliable growth and real products.
🛠 Tool Highlight: AI Infrastructure Tracker
As CapEx (capital expenditures) surges, tools that help companies track their AI infrastructure spending are becoming essential. These tools can help:
Monitor compute and data center utilization
Predict future infrastructure needs
Compare spending vs. value delivered
Alert teams when budget limits are near
For anyone building or scaling AI systems, this is becoming as important as tracking revenue.
⚡Quick Signals
Big tech capex totals are skyrocketing, with Amazon and Google leading the pack.
Meta and Microsoft are spending heavily too, though not at the same scale.
Investor reactions are mixed. Huge spending can scare Wall Street even when revenues are growing.
India is offering zero taxes to attract AI data centres, a new twist in the global AI infrastructure game.
🚀 Final Thought
We’re living in a moment where the size of your servers matters as much as the size of your models.
The future of AI won’t just be shaped by algorithms, it will be defined by who builds the foundation beneath them.
Execution wins. Scale matters. And the infrastructure race is where the next decade of tech will be built.
🏆 Fun Fact
Did you know?
The world’s largest data centres can be as big as multiple football fields and they use enough electricity to power tens of thousands of homes.Share the newsletter