MAKING A FORTUNE IN THE AGE OF THE BOT-COMS

The Unexpected Business Opportunity Hidden Inside Your Career

Struggling to learn AI won’t create income, but leveraging your business and work acumen will

For the past couple of years, I’ve watched a parade of people announce they were “becoming AI consultants.” Some were software developers. Made sense. Some were career tech professionals. Fair enough. But a surprising number seemed to have discovered artificial intelligence on a Tuesday and launched a consulting business by Thursday. (I’m not judging. Okay, maybe a little.)

The pattern reminded me of every digital gold rush I’ve ever studied. When excitement hits a certain pitch, people stop chasing problems and start chasing tools. New technologies promise shortcuts, make headlines, and create the unmistakable feeling that if you don’t jump in right now, you’ll miss the whole thing.

Here’s what that framing gets wrong: businesses don’t buy technology because they crave new technology. Businesses buy solutions to their expensive problems.

What nobody actually says about adopting AI tech

I’ve spent most of my career around business owners, managers, nonprofit leaders, and workers of every stripe. In all those years, I cannot recall a single one jumping up and shouting, “You know what I need? An expensive sophisticated technology platform.”

What they actually said sounded more like this:

• “We keep making the same mistakes.”
• “It takes forever to train new people.”
• “Nobody knows how Fred does that job.”
• “If Susan retires, we’re in trouble.”
• “We spend half our time documenting things nobody wants to document.”

Those aren’t technology problems. They’re business problems. The technology just changes from decade to decade. Or, um, week to week.

Which brings me to why I think a lot of experienced professionals are looking at the AI boom and drawing exactly the wrong conclusion. They assume the opportunity belongs to programmers. I’m quite sure much of it belongs to experts. A very different prospect. You don’t have to become a programmer or developer to join the gold rush.

Tune in to what your peers need, and you may find a niche that allows you to

• analyze a pain pointfind a solution
• figure out a sustainable, simple tool
• provide the tool to businesses you’re familiar with
• and support it for them

That’s a formula for a viable business model

What the market is screaming for

I recently read a market analysis of custom AI systems covering manufacturing, healthcare, logistics, and professional services. At first glance it looked like a technology report. But buried inside was something far more interesting: the strongest demand isn’t coming from companies that want AI.

That demand comes from organizations struggling with compliance requirements, documentation burdens, and the knowledge drain that happens when experienced employees walk out the door. And make no mistake, door-walking is a thing. For example, by 2027, 2.5 million workers will retire, and somehow, the business world has to replace their expertise and knowledge.

So technology isn’t driving demand. The problems are.

That distinction may represent one of the most overlooked business opportunities available to experienced professionals and retirees today.

The quiet business crisis nobody’s talking about

For years we’ve been told that experience is becoming less valuable. Technology moves too fast. Younger workers adapt faster. New skills trump old ones.

Maybe.

But every workplace I’ve ever seen still runs on accumulated knowledge. Someone knows why a process exists. Someone understands the regulations. Someone remembers the exception that caused a disaster ten years ago. Someone knows which customer requires special handling and exactly how to handle them. Someone knows how to navigate the organization’s unwritten rules — the stuff that never made it into any manual.

And increasingly, organizations are discovering they never bothered to capture any of it.

Across most industries, experienced workers are retiring faster than organizations can replace them. The result isn’t just a labor shortage. It’s a knowledge shortage. And the two are not the same problem.

Once upon a time, America glommed onto the youngest college-degreed workers they could get. Those kids worked cheap and didn’t complain (much). Time passed, and we are realizing the flaw in our thinking.

Consider a nonprofit organization whose executive director retires after twenty years. The grant-writing process lives mostly in her head. She knows which foundations prefer detailed budgets. She knows which reports require extra documentation. She knows how to frame proposals for each funder’s particular sensibilities.

Her replacement inherits a filing cabinet, a few spreadsheets, and a collection of folders with optimistic labels. The actual expertise disappears with the retirement party.

Or a small accounting practice where the senior partner retires after thirty years. Clients call with unusual situations. The younger staff know the rules but not the history — not the story behind hundreds of prior decisions. Not the customer’s pain points. Work that once took fifteen minutes now requires hours of investigation.

Clients notice. Some leave.

The same story plays out in schools, consulting firms, healthcare practices, engineering firms, family businesses, and associations of every kind. Knowledge walks out the door. The organizations that survive are the ones that figured out how to capture it first.

What this new business model actually looks like

Here’s where most people misread artificial intelligence. They picture a robot replacing workers. The practical opportunity often looks nothing like that.

Imagine yourself, an experienced senior expert in your career path (whatever field you’ve been in). You interview experienced professionals in your work domain before those experts retire or move on. You gather procedures, explanations, decisions, templates, reports, and training materials. You, with studied knowledge of AI and the industry, organize those resources into a searchable system that lets future employees find answers quickly instead of reinventing wheels or making preventable mistakes. You build something an organization can actually use.

Your opportunity isn’t in building AI. You will teach existing AI about your clients’ businesses. That’s a different assignment — and one that’s far better suited to a retired operations manager, HR director, educator, accountant, or maintenance supervisor than to a twenty-five-year-old programmer who has never worked in an industry beyond tech.

The key is that you don’t need to spend two years becoming a technology wizard. In many cases, the AI tools are free or inexpensive downloads. What companies are very willing to pay for is someone who understands their business well enough to turn decades of accumulated information into something useful.

You’re not aiming at an AI business. You’ll provide a knowledge-preservation business. AI makes the information easier to access. But the expertise — the judgment about what matters, what to capture, how to organize it — that’s the valuable part. And you already have it. Think of the entrepreneurial business you could grow.

The same framework applies to compliance. If you’ve never dealt with compliance work, count yourself fortunate. Most organizations spend a remarkable amount of time and money proving they followed rules they were already following.

Schools document accreditation standards. Healthcare providers document patient care. Nonprofits document grant requirements. Financial professionals document regulatory compliance. HR departments document employment practices.

The documentation itself creates no value. The value comes from avoiding penalties, maintaining funding, reducing risk, and keeping regulators satisfied. But the process consumes enormous amounts of time — often gathering information manually from multiple systems, emails, spreadsheets, and paper records. Tedious, repetitive, expensive work. Much of it is organizing information that already exists, not creating anything new.

Notice where the opportunity is. Not in selling AI. In reducing documentation burdens for people drowning in them.

Your business, career, and work expertise is the product

Suppose you spent twenty years in human resources. You understand compliance requirements, employee records, onboarding procedures, and reporting obligations at a level most technology consultants never will. You could create systems that help organizations capture information more efficiently and produce required documentation with far less effort.

If you spent your career in education, you might help schools preserve curriculum knowledge, organize institutional processes, and streamline reporting. If you worked in nonprofit management, you could help organizations build internal knowledge systems that preserve grant histories, donor relationships, reporting schedules, and program procedures — the institutional memory that currently lives in one person’s inbox.

Your expertise, no matter what business domain it relates to, remains the foundation that can’t be faked or copied..

Technology becomes the amplifier. That’s a much more attractive position than competing with thousands of self-proclaimed AI consultants who learned the tool last Tuesday.

The same market analysis turned up another finding worth noting: many smaller organizations don’t believe AI applies to their businesses because they’ve only ever seen generic consumer AI tools. They understand their own problems perfectly well. What they can’t see is how technology might solve those problems — or whether it can.

That creates an opportunity. The person who understands both the problem and the industry has a significant advantage over the person who only understands the technology.

A retired nonprofit executive understands nonprofit operations better than any 28-year-old software developer or teen-aged app developer. A former HR director understands personnel systems better. A veteran editor understands publishing workflows better. A retired nurse administrator understands healthcare documentation better. Those decades of accumulated knowledge suddenly become commercially valuable in a new way.

Learning how to create the tech — the apps, the simple systems, the reporting automations — is 100% accessible to nearly anyone who can write a simple prompt for ChatGPT or download a generic large language model app. You can learn the tech, but those developers cannot and will not learn the specific business knowledge you have earned.

The irony of exploiting AI is hiding in plain sight

Many experienced professionals like us worry that technology is making our careers obsolete. The opposite is more likely happening.

Technology is increasing the value of expertise — because expertise is what makes the technology useful. Without context, technology produces generic answers. Without context, automation creates confusion. Without context, information becomes noise. Expertise provides the context. And you can’t download that.

Where to start a second-act business (hint: it’s not AI)

If you asked me today how to build a viable second-act business around this, I would not tell you to start by studying artificial intelligence.

I’d tell you to study your own career.

• What did people constantly struggle with in your sector?
• What information was hard to find?
• What processes depended entirely on one key employee?
• What documentation consumed weeks of effort every year?
• What knowledge evaporated when experienced people left?

Those questions are worth far more than asking which AI tool is currently popular. Tools change — sometimes faster than you can learn them. Problems endure. And the people who understand enduring problems have always had a way of finding opportunity.

The real gold rush

The headlines celebrate the technology. Venture capital chases the platforms. Consultants flock to the tools. But the actual business opportunity — the one that doesn’t require a computer science degree or a tolerance for pivot tables at midnight — may belong to people who spent decades learning how work actually gets done. People who sat through the compliance meetings. Who trained the new hires. Who knew which funder needed which format. Who understood why the process existed in the first place.

In other words: People like you and me.

The current AI boom may prove no different from every other technology wave I’ve watched crest and reshape industries. The smart money — historically — has never been on people selling the picks and shovels. It’s been on people who knew exactly where to dig.

You’ve spent your career figuring that out.

I’m a business and writing expert with decades of successful experience. From the day AI was launched, November 30, 2022, I have read hundreds of reports, attended professional webinars, and studied how people respond to this phenom. I’m qualified to explain bot-com opportunities to you impartially. If you want to leverage AI tech in your second-act business, start exploring how modern LLMs can organize, retrieve, and deliver that information. The articles below provide an excellent foundation.

How to Capture and Preserve Institutional Knowledge

Using LLMs to Reinterpret Corporate Knowledge

Transforming business process automation with LLMs