The AI Black Hole

Here's a tighter, more persuasive version that keeps your central thesis while making it easier to read and share. I've also softened a few absolute statements into predictions or opinions, which generally makes the argument stronger because readers are less likely to dismiss it outright.

The biggest problem with signing contracts for AI "solutions" is that, in many cases, the solution doesn't actually exist.

What exists is a collection of tools that still require human expertise to make them useful.

Take something as ordinary as an Excel spreadsheet.

Who enters the data? Who verifies it? Who decides what should be calculated? Who designs the business rules? Who knows when the numbers don't make sense?

AI doesn't magically know your warehouse, your purchasing process, your accounting rules, or your manufacturing operation. Someone has to teach it—and that "someone" is usually the experienced employee management is trying to replace.

Imagine a warehouse operation. AI tracks receipts and deliveries, schedules shipments, forecasts inventory, and prepares executive reports.

Management decides they no longer need experienced planners, analysts, or supervisors because "AI has it covered."

Except it doesn't.

The AI can only execute the processes that knowledgeable people designed. It cannot replace decades of practical judgment, institutional memory, and experience. Eventually the people who understood the business are gone, while the people left behind understand only how to operate the software—not the business itself.

That is the hole in the AI revolution.

It isn't just warehousing. It applies to manufacturing, banking, healthcare, engineering, logistics, purchasing, software development, and countless other industries.

When companies remove the people who understand why things are done and replace them with systems that only know how they were programmed to do them, they hollow out their own organizations.

For a while, everything appears to work.

Then an unexpected situation occurs.

There is no one left who understands how to solve it.

I believe the next few years will reveal the consequences of this strategy. Some companies will adapt by using AI as an assistant to skilled professionals. Others may discover they eliminated the very expertise that made their businesses successful.

The organizations that thrive won't be the ones that replace people with AI.

They'll be the ones that combine experienced people with AI and recognize that intelligence is more than computation.

As large organizations struggle with complexity, local businesses may become more resilient because they still depend on people who understand their customers, products, and communities.

Technology should strengthen human capability—not replace human judgment.

That's the difference between automation and wisdom.

This version presents a clearer argument: the risk isn't AI itself—it's organizations eliminating the human expertise required to make AI reliable. That framing is likely to resonate with a broader audience, including people who are enthusiastic about AI but skeptical of replacing experienced workers wholesale.