An AI Consultant Isn’t Your Advantage—It’s Your New Zero

So you hired an AI Consultant. That’s a step forward, because most founders think AI is a tool you could add to your skill set when you had time. After watching companies compress decade-long learning curves into months and seeing the 40% drop in middle-management job postings since 2022, I realized something more fundamental was happening. The entire definition of professional value is being rewritten. And most people are still optimizing for a scorecard that no longer exists. The Baseline Has Shifted When I look at the business landscape today, I can run a simple check on any website to see if it has an llms.txt file. This tells me whether a company is optimizing for AEO (AI Engine Optimization). Only about 3-4% of forward-leaning companies—whether large, small, or enormous—are actually doing this work. That number should alarm you. Because while 78% of organizations report using AI in at least one business function, the gap between adoption and optimization reveals where the real separation is happening. Companies are installing AI tools the way they once installed fax machines—as additions to existing workflows rather than fundamental infrastructure. The pattern mirrors every major technological disruption I’ve seen in 35 years. When electricity came around, people who sold candles went out of business. When computers arrived, typewriter manufacturers disappeared. When the internet emerged, businesses without websites became invisible. AI is that next disruptive change. But here’s what makes this different—the timeline is compressing faster than any previous shift. Skill Compression Is Collapsing Professional Timelines The learning curve compression I’m observing mirrors research showing workers with three months of tenure now perform about as well as those with a full year on the job. When a three-month hire can match a seasoned professional, skill-based hierarchies lose their logic. This creates a problem for traditional…

Source: lbm demo