DOD wants nearly $30 billion to modernize its AI supercomputing arsenal in fiscal 2027
PushButton AI Team ·
DOD wants nearly $30 billion to modernize its AI supercomputing arsenal in fiscal 2027
The Department of Defense just proposed $30 billion for AI. You're still deciding if that $49/month tool is worth it.
That gap tells you something important.
If you've ever paid for an AI subscripti
The Department of Defense just proposed $30 billion for AI. You're still deciding if that $49/month tool is worth it.
That gap tells you something important.
If you've ever paid for an AI subscription your team quietly stopped using, you're not alone. It's not because you picked wrong. It's because nobody showed you what problem it was actually supposed to solve first.
Here's what the DOD story reveals: even the most resource-rich organizations don't buy AI randomly. They identify a specific operational problem, then find the tool built for that exact job. That's the opposite of how most business owners are sold AI — which is tool first, problem second.
That backwards approach is why the industry keeps failing you. Not your judgment.
The practical move: before looking at any AI tool, write down your single most repetitive, time-consuming task. One sentence. That task description is your buying filter. Every tool either solves that specific thing or it doesn't. Full stop.
No ripping out systems. No learning to code. Just one problem, one solution, one measurable result.
What's the AI tool you paid for that your team never actually adopted — and what were you hoping it would do?
