Roman Yampolskiy, an AI safety researcher at the University of Louisville (and someone to definitely pay attention to), made a bold prediction on The Diary of a CEO podcast. He said AI and humanoid robots could push unemployment as high as 99%(!) by 2030. That is one voice, and it is the most extreme forecast out there. Others are far more modest. A 2026 survey of 734 corporate executives (Federal Reserve Banks and Duke University) found small near-term job losses, concentrated in routine clerical work, with AI mostly enhancing professional and technical roles. You don’t have to believe the most extreme forecast to see the direction. Technology displaces labor, and it’s happening faster than in past waves. That’s why more experienced professionals are asking what a career looks like when a single employer can’t be counted on. One option: join a collective A collective is a group of independent professionals who work under a shared model and support each other. Each member runs their own contract work, and the group provides training, systems and community. - You aren’t dependent on one employer - Your income reflects your own effort and results - You can often work part-time while you build - You aren’t doing it alone It isn’t for everyone. It means contract work and variable income, not a salary. It suits people who want independence and are willing to build. Your three paths 1. Pursue employment with professional assistance (a must) 2. Start your own coaching or consulting business 3. Join an independent business collective Which one is closest to your next move? Tell us in the comments. Questions?

These days, AI is now a normal part of job hunting, and employers know it. While most likely expect it, what they most certainly object to is misrepresentation, and they are ACTIVELY screening for it. This post covers what ethical use looks like, what employers watch for, and what is at stake if you cross the line. Contents - Why Ethics Matters in an AI-Assisted Job Search - How Employers Are Using AI - What Employers Look For - Red Flags That Get Applications Rejected - What Happens When Misuse Is Discovered - The Interview Test - Protecting Your Privacy - Where to Go Next: The Toolkit A 2026 Resume Genius survey found 78% of job seekers use AI at some point in their search. Employers have noticed. In a 2026 Express Employment Professionals-Harris Poll, 86% of US hiring managers said AI makes it too easy to exaggerate skills on a resume. And 80% of hiring managers told Resume Genius they can often tell when a resume was written by AI. What they look for: - Overly polished, generic wording that sounds like every other application - Skills and experience you can’t prove - Industry terms you can’t explain - A cover letter that doesn’t match how you actually communicate - Hidden keywords planted to game screening software - Portfolio work or assessment answers you didn’t produce What happens when it’s discovered: - Nearly one in five US hiring managers would reject a candidate over an AI-generated resume or cover letter (TopResume) - Expect more scrutiny: 38% of hiring managers are adding interviews to verify candidates (Robert Half) - You stall when asked who was involved, what tools you used, and what you personally did - A lie found after hiring can cost you the job and your reputation The simple test: if you can’t explain it out loud in an interview, it doesn’t belong in your application. Employers don’t object to AI. They object to misrepresentation. In the TopResume survey, 52% of hiring managers said using AI for drafting and proofreading is fine. Write your own first draft, then use AI to check, tighten and tailor it.

They don’t go through the front door. They don’t join hundreds of others on the big job boards and wait. They skip the job board shuffle completely and instead go through the back door. And almost nobody over forty has heard of it. Most companies run their hiring on a handful of systems. And you can search those systems directly, right from Google. You skip the job boards. You see the posting on the employer’s own hiring page, with the real date it went up. That means fresher openings and fewer ghost jobs. That’s step one. Step two is how you walk through that door: with someone you already know. If you’ve worked for twenty years, your former colleagues are now spread across dozens of companies. That’s your referral network, and you already have it. I call it the Back Door Approach. Find the real opening at the source. Then go in through a person, not a portal. I teach both steps, free, inside our Skool group. Join as a founding member. The link is in the post.