Will AI lead to a significant increase in wages due to higher productivity, or will it depress wages through automation in the next 3 years?

You're asking if AI will lift all boats or sink some, and you're feeling that tension because you’ve seen the headlines. One day it's "AI will create millions of jobs," the next it's "AI will replace half the workforce." You're trying to figure out if you should be demanding a raise for your newfound AI-powered efficiency or quietly updating your resume, hoping your boss doesn't notice how much faster you're getting things done. That uncertainty isn't just in your head; it's playing out in boardrooms and on factory floors right now.

But here's what's really happening: you're looking at a market bifurcation, not a uniform shift. The question isn't whether AI will increase overall wages or depress them; it's whose wages will increase and whose will stagnate or fall. The hidden mechanism is leverage. AI is a leverage system. It amplifies the capabilities of those who know how to direct it. For the people who figure out how to integrate AI into their workflow, who learn to prompt it, manage it, and build with it, their productivity will skyrocket. And because they're delivering disproportionate value, their market value—their wages—will follow. They'll be on the front side of the wave, riding it.

The flip side is that for roles where AI can automate significant portions of the task list, and the worker doesn't adapt, the market will treat that as a commodity. If a single person using AI can do the work of three people who aren't, what do you think happens to the demand for those three un-leveraged people? Their wages won't just stagnate; they'll face downward pressure. This isn't about AI being "just a tool"; it's about AI being a transformative operating system for work. It's about the difference between being an operator of the system and being operated by the system.

If you're waiting for your company to roll out a comprehensive AI training program, or for HR to update your job description to include "AI proficiency," you're making a critical mistake. You're waiting for permission to adapt. You're assuming the old ladder is still there, just waiting for you to climb it. The fact of the matter is, many companies, and many managers, are just as confused and reactive as individual employees. They're trying to figure this out too. Your boss may be getting left behind right alongside you if they're not actively engaging with this technology themselves. This isn't a top-down mandate; it's a ground-up revolution. Waiting for someone else to hand you the keys to the future is a luxury you cannot afford.

So, what do you do? How do you get on the front side of this wave?

1. Identify Your "AI Co-Pilot" Tasks: Don't try to automate your entire job. Look at the 20% of your tasks that take up 80% of your time, or the repetitive, data-heavy, or initial draft-creation tasks. These are your prime targets for AI assistance. Think report generation, initial research, code debugging, content outlines, data analysis.
2. Start Building Your AI Workflow Muscle: Pick one AI tool — ChatGPT, Claude, Midjourney, whatever. Start using it daily for those identified tasks. Don't just ask it simple questions. Push its limits. Learn to write effective prompts. Learn to iterate. Treat it like a junior assistant you're training.
3. Document Your Impact: This is critical. Don't just get faster; prove it. Track the time you save. Quantify the quality improvement. Did you cut report generation time by 50%? Did your analysis uncover insights faster? Did you produce 3x the content? This isn't just for your boss; it's for you to understand your new value proposition.
4. Build a Portfolio of Proof: This isn't about a new certification. It's about showing, not telling. Create a small portfolio—a simple document, a Notion page, a personal website—that showcases concrete examples of how you've used AI to achieve measurable results. Proof that you built it. Proof that it works. Proof that it made an impact. This is your new resume.

This isn't about waiting to be told. This is about taking agency. The people who go first, who experiment, who build, who prove their new leverage—they will be the ones demanding higher wages because they're delivering exponentially higher value. The choice isn't between higher or lower wages; it's between becoming a director of AI or being directed by the market forces AI unleashes. What are you waiting for? Like literally, what are you waiting for?