Lately, I’ve been spending a lot of time exploring and building AI tools.
I’ve been experimenting with Claude Code and CoWork, creating AI agents, refining production workflows, and trying to understand where all of this technology is headed. Some of the things AI can do today would have seemed impossible just a few years ago.
The funny thing is that the deeper I get into AI, the more familiar it feels.
Not because AI resembles the early internet. It doesn’t. But because the conversations surrounding it sound remarkably similar to the conversations I was having thirty years ago.
Back in 1996, I spent many nights and weekends learning how to build websites, servers, databases, email systems, e-commerce platforms and search engines. During the day, I met with business owners and marketing leaders, helping them understand how this strange new thing called the World Wide Web could benefit their organizations.
The questions were predictable.
Do we really need a website? Will customers actually use the internet? Is this just a fad? How do we know we’ll get a return on our investment?
Today, the technology has changed, but the questions haven’t changed much at all.
Do we really need AI? Will it change how customers find us? Is it worth the investment? How do we know where to start?
Different technology. Same uncertainty.
And there’s another similarity I’ve noticed.
Many businesses are making the same mistake today that they made during the early days of the web.
When the Tool Becomes the Strategy
In the late 1990s, many organizations became convinced that having a website was a strategy.
It wasn’t.
The website was simply a tool.
Some companies built beautiful websites that generated little business value because they lacked a clear message, a compelling offer, or a plan for attracting visitors. Others built relatively simple websites that performed remarkably well because they understood their customers and had a clear business strategy behind what they were doing.
The technology itself wasn’t the differentiator. The strategy was.
Today, I’m seeing a similar pattern emerge around AI. Businesses are rushing to implement AI tools, create AI-generated content, launch AI-powered experiences, and automate processes. None of those things are inherently bad. In fact, many of them can create tremendous value.
But AI is not a strategy.
It’s a tool.
And tools only create value when they’re applied to a sound business and marketing foundation.
AI Can’t Fix What Was Already Broken
One of the most interesting things about AI is that it tends to expose weaknesses rather than hide them. In many ways, that’s one of its most valuable characteristics.
If your messaging is unclear, AI won’t fix it.
If your company struggles to explain what makes it different, AI won’t suddenly create differentiation.
If prospects don’t trust your organization, AI won’t manufacture credibility.
If your expertise isn’t evident, AI won’t create authority out of thin air.
And if the customer experience is poor, AI may actually make that weakness more visible.
What AI can do is help organizations execute more efficiently, create content faster, analyze information more effectively, and automate repetitive tasks. Those are significant advantages. But they only matter when they’re built on a strong business and marketing foundation.
That’s why some organizations are seeing tremendous results from AI while others are struggling to find meaningful value despite investing heavily in the latest tools.
The difference usually isn’t the technology.
The difference is the foundation underneath it.
The Fundamentals That Still Matter
Every major technology shift creates pressure to focus on what’s new. Yet the organizations that consistently outperform their competitors tend to excel at the same foundational disciplines.
1. Positioning – Can you clearly explain why a prospect should choose you instead of someone else?
2. Customer Understanding – Do you genuinely understand what your customers care about, what frustrates them, and what motivates them to act?
3. Trust and Credibility – Have you earned the reviews, testimonials, case studies, and reputation that make prospects comfortable moving forward?
4. Demonstrated Expertise –Are you showing real-world knowledge and experience, or simply publishing more content than everyone else?
5. Customer Experience – When prospects arrive at your website, contact your team, or engage with your organization, does the experience reinforce confidence in your brand?
Notice that none of these fundamentals disappeared because AI arrived.
If anything, they became more important.
Today’s AI search platforms increasingly reward organizations that communicate clearly, demonstrate authority, establish trust, and provide well-structured information. The technology may be new, but the underlying signals aren’t. Google’s guidance around helpful, reliable, people-first content and E-E-A-T reinforces the continued importance of experience, expertise, authoritativeness, and trustworthiness.
The Questions Every Business Should Be Asking About AI
The AI conversation is moving so quickly that it’s easy to become distracted by tools, features, and announcements. Every week seems to bring another breakthrough, another platform, or another prediction about how business will change.
Rather than asking, “Which AI tool should we use?” start with these questions:
• What business problem are we trying to solve?
Technology should support objectives, not become the objective.
• Where can AI improve efficiency without sacrificing quality?
The goal isn’t automation for its own sake. The goal is better outcomes.
• What expertise do we already possess that AI can amplify?
AI tends to deliver the greatest value when paired with genuine human knowledge and experience.
• Are we strengthening our competitive advantage or simply keeping up with a trend?
Not every new capability creates meaningful differentiation.
• How does this improve the customer experience?
Ultimately, that’s the question that matters most.
Those are essentially the same questions successful organizations asked during the early days of the web, even if the technology looked very different.
The companies that ultimately benefited most weren’t necessarily the first adopters.
They were the organizations that successfully connected emerging technology to meaningful business objectives.
They didn’t chase technology for its own sake.
They used technology to serve customers better, communicate more effectively, and create sustainable competitive advantages.
What This Means for You
As you evaluate AI tools, agents, automation platforms, and new marketing technologies, don’t just ask what the technology can do.
Ask what it can do for your business.
Then take an honest look at your foundation.
✓ Is our positioning clear and differentiated?
✓ Do we truly understand our customers and their needs?
✓ Does our website and digital presence build confidence and trust?
✓ Are we demonstrating real expertise, or simply producing more content?
✓ Are we using AI to strengthen our strategy, or hoping it will compensate for the lack of one?
The organizations that thrive during technology revolutions are rarely the ones chasing every new tool.
They’re the ones that understand how to apply new tools to timeless business principles.
I’ve watched that happen before.
And the more time I spend with AI, the more convinced I am that it’s happening again.
