🧩 Generative AI at work — faster projects, tougher choices

AI can now draft code, summarize contracts, outline marketing campaigns, and polish slides in minutes. That’s awesome for speed. But speed changes power. If one person with good AI tools can do the work of three, companies may try to cut jobs or pay—while still charging clients the old prices. If leaders don’t share the gains, the benefits pile up at the top while everyone else gets, well, “learn to prompt.”

So here’s the tough question: will AI be used to boost everyone—or mainly to squeeze wages while executives pocket the difference? That depends on the rules we set at school, at work, and in law.

What can you do right now? First, build a portable skill stack: prompt well, verify sources, check outputs, and learn enough coding or data basics to spot when AI is bluffing. Keep a portfolio (GitHub, Notion, or a simple blog) that shows what you can do with and without AI. Second, don’t go it alone. Join or start a professional co-op or student club that shares prompts, templates, and fair contracts. Groups have leverage; individuals don’t.

Third, negotiate AI use at work or school: what tools are allowed, how quality is checked, and how credit is given. If AI speeds things up, ask how the savings get shared—less overtime, bonuses, or training funds. Fourth, choose vendors and platforms that treat contributors fairly (clear pay, no surprise policy traps) and that let you export your work easily so you’re not locked in.

Finally, keep privacy in mind. Don’t paste sensitive data into random bots. Use local or school-approved tools when you can. AI should feel like a superpower you control, not a boss you can’t see. Learn fast, share smart, and keep your options open.

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