We all have more choices than we know what to do with.
Today, AI gives us infinite choice.
Building is easier than it's ever been.
We all want to build something people want.
Deciding what we should build, buy, or partner for isn't.
Alphabet is guiding the market to 195 - 205B in 2026 CAPEX, mostly for AI infrastructure.
Amazon is signaling roughly $200B in 2026 CAPEX, largely AI-related.
OpenAI and Anthropic both launched formal partner programs this summer around deployment, implementation, and enterprise adoption.
The question isn't:
Can we build it?
It's:
Should we own it?
Because the wrong choice shows up on the balance sheet.
Longer time-to-value. Higher cost. More risk. Slower revenue.
For engineering-led companies, the best choice gets customers to value while strengthening State, Scale, System, or Signal.
The fastest choice isn't always the best one.
The better choice improves the economics of how we acquire, serve, retain, and expand customers.
Build / Buy / Partner now drives revenue allocation.
Execution Beats Theory. Every Time.
Straight answers
Related GTM concepts
