Big Tech is on a spending spree. Meta is spending over $90 billion per year on capex for new data centers, Microsoft is pouring billions into OpenAI, and global AI capital expenditures will soon reach $2 trillion. That’s more than the GDP of Canada, all funneled into GPUs, data, and algorithms designed to “think.”
So here’s the real question:
If machines are learning faster than we can, will humans still have jobs?
Maybe. But the rules are changing.
AI isn’t just replacing people, it’s replacing tasks. The grads who win won’t be the ones competing against AI, but the ones building, prompting, and steering it. Every major company now wants “AI-fluent” employees — people who can use ChatGPT, Midjourney, or Python automation as naturally as they use Google Docs.
Here’s the twist:
If $2 trillion is going into AI, someone’s going to need to make that money back. That means startups, creators, and researchers who find new, weird, and human ways to apply AI — from therapy bots to meme generators to quantum research tools — will capture those returns.
So don’t fear the bots.
Outsmart them.
Learn to prompt, code, and create things AI can’t imagine yet.
