WinningWithAI.com - Live AI seminars with Mike Filsaime

WinningWithAI.com / FAQ / Am I Too Late for AI?

Am I Too Late for AI?

No. The gap between people talking about AI and people using it for real work is still enormous. Most businesses have a subscription and a handful of experiments, not AI doing their follow-up and marketing. Being early to talk about it is worth nothing. Being early to use it is still available.

  • Talking about AI and using AI are two different populations, and the second one is small.
  • The people who look ahead of you mostly have opinions rather than output.
  • The tools got easier while you waited. Later is a cheaper entry point than earlier was.
  • The competition that matters is the business down the road, not the internet.

Where the feeling comes from

The feeling of being late is manufactured, and it is worth understanding the machine that manufactures it before you let it make a decision for you.

Your feed is a highlight reel filtered for confidence. It shows you the people who post about AI, which is a different population from the people who use it. Posting is free and immediate. Building something real takes months and produces no content. So the visible population is loud, early, and light on output, and standing next to it feels like standing at the back of a queue that does not exist.

What is actually true about the adoption curve

Look at the businesses in your own town rather than at your feed. The plumber, the clinic, the restaurant, the contractor, the accountant, the shop on Main Street.

Almost none of them have AI answering customers, handling follow-up, or building their marketing. Some have a subscription somebody signed up for and nobody uses. A few have run experiments. Nearly zero have it doing real work every day.

That is the real curve, and it is much earlier than the internet implies. The reason is simple: adopting a technology into daily operations is slow, unglamorous work that nobody posts about. So the visible signal runs years ahead of the actual one.

Being late is now an advantage, and this is not a consolation prize

The people who were genuinely early paid a price for it. They learned tools that no longer exist, built around limitations that have been fixed, and developed habits from a version of the technology that has been superseded twice.

You get to skip all of that. The tools you would touch today are dramatically easier than the ones from eighteen months ago, they need no technical setup, and the moves that actually work are known now rather than guessed at.

That is why the entry point is cheaper now than it was for the people ahead of you. They paid tuition in wasted months. You are arriving after the curriculum was written.

The only competition that matters is local

The version of "too late" that keeps people frozen is a comparison against everybody on the internet. It is the wrong comparison, and it is not close.

You are not competing with an AI consultant in another country. You are competing with the two or three businesses your customers would otherwise call. That is the whole race. And they are in the exact same place you are, reading the same feed, feeling the same lateness, doing about as little about it.

Which means the head start is still sitting there. Not against the internet. Against the shop down the road, which is the only version of it that pays.

What "late" would actually look like

It is worth defining, because the word is doing a lot of work without ever being checked.

Late would mean your customers already expect answers in the time AI makes possible, and you cannot deliver it. Late would mean your competitors are following up on every lead within minutes while yours sit until Thursday. Late would mean the price of the work you sell has already dropped to what an AI-equipped competitor can charge.

For a small number of businesses, some of that has started. For the overwhelming majority, none of it has. The real test is not how you feel reading your feed. It is whether a customer has ever chosen somebody else because they answered faster. If that has not happened yet, you are not late. You are on time, and the window is open.

The thing that is genuinely scarce is not time

If lateness were really about the clock, the people ahead would be the ones who started earliest. That is not what the pattern looks like.

What separates the businesses getting something out of AI from the ones with a dormant subscription is not months of experience. It is having seen it work once, on something that mattered to them, clearly enough to know what to do next. Some people get there in an evening. Others read about it for two years and never get there at all, and the second group is larger.

That is why the queue you feel yourself standing at the back of is mostly imaginary. It is not sorted by who started first. It is sorted by who got a clear look, and a clear look is available on a Thursday.

The only way being late becomes true

There is one reliable path to actually being late, and it is not ignoring AI. It is doing what you are doing now: reading about it, feeling behind, deciding you need to understand it better before you start, and repeating that for another year.

The exit from that loop is not more reading. It is one evening where you watch it do something real and leave knowing what to do first. Choose your city and date, take the $97 early-bird seat while it is available, and if it turns out not to be right for you, tell us before you leave the room and we refund your registration fee.

The short version

  • Talking about AI is not using AI. The visible population is loud and early. The population with output is small and quiet.
  • The curve in your town is earlier than your feed. Almost no local business has AI doing daily work. A subscription is not adoption.
  • Later is a cheaper entry point. The people ahead of you paid tuition in tools that no longer exist. You skip that.
  • The race is local. You compete with the two or three businesses your customer would otherwise call, not the internet.

The rest of the questions

What actually happens at a Winning With AI seminar?

You watch AI applied to real work in plain English: useful pages, customer messages, follow-up, content, notes, summaries, daily tasks, lead handling, and practical next steps. The point isn’t to memorize theory. The point is to see useful output happen live, understand how it works, and know what to do next.

How much does it cost to attend?

The current early-bird seat reservation is $97 while it’s available. Your reservation covers the live room, the AI Business Readiness Checklist, attendee software access and resources included with the event, and the money-back guarantee.

What will you actually demonstrate?

You may see pages, customer messages, review replies, posts, emails, follow-up, notes, summaries, and business examples. The exact examples can change, but the promise is the same: useful work, shown live, in plain English, with the focus on empowering you.

Why is seeing it live different?

You watch the work happen instead of guessing from another article, video, tool list, or sales promise. Seeing it live helps you understand what AI can actually do, where it fits in your work, and what your next step should be.

Can I follow this if I’m not technical?

Yes. If you can use a phone, email, or a browser, you can follow this. The seminar is plain English, with no coding and no assumption that you already understand AI.

How is this different from trying AI tools on my own?

On your own, it’s easy to bounce between tools, prompts, and videos without a clear path. At the seminar, you see plain-English demonstrations turn direction into usable work: pages, content, follow-up, customer messages, summaries, and other everyday business output.

Will this only be about websites?

A page or campaign demo may be used as proof, but the bigger point is output across marketing, sales, support, customer replies, follow-up, and daily business work.

Who’s this built for?

It’s built for practical business owners, employees, and managers who want AI connected to customers, follow-up, marketing, support, daily output, and clearer next steps.

How is this different from hiring an agency?

An agency usually starts by selling services, campaigns, and monthly retainers. This seminar is built to empower you first. You see the work built live, learn the plain-English thinking behind it, and get attendee software access and resources included with your event seat so you can take more control before deciding what outside help you still want.

Can this help if I serve customers beyond my local market?

Yes. If your business sells through websites, funnels, ads, referrals, sales calls, content, or national lead flow, the examples still apply. The point is faster lead generation, sales support, follow-up, fulfillment, and daily output.

My team needs this more than I do. Can I send them?

Your team may benefit, but leaders get the most leverage by seeing it first. When the owner or manager understands what AI can help with, it’s easier to decide what to delegate, improve, automate, or stop doing the slow way.

How does this help employees and managers?

Owners use AI to grow the business. Employees and managers use AI to become more productive, more valuable, and better positioned for raises, promotions, or better roles.

How does this help me stay valuable at work?

The seminar is designed to help you become the person who can use AI to get clearer, better work done faster.

Will my boss pay for it?

Maybe. But the skill belongs to you. If you learn it first, you become more valuable wherever you work, whether your company pays for it or not.

Who’s Mike Filsaime and why should I listen to him?

Mike has spent decades building and teaching digital business. His companies and platforms include WebinarJam, EverWebinar, Kartra, Groove.cm, and Scale.gg. The reason he is teaching this is simple: he has helped people cross major technology shifts before, and AI is the next one.

Will Mike be involved in the seminar?

The page is built around seeing Mike teach AI in plain English. Choose your city and date from the current schedule to see the reservation details for that event.

What happens after the seminar?

You’ll leave with the included resources, practical examples, and simple ways to keep using what you saw live.

How do I reserve a seat?

Click your state on the map, choose the city and date closest to you, and follow the reservation details. Seats are limited in each room, so the safest move is to choose your city while the early-bird reservation is available.

What if I still have a question?

Use the contact page or choose the seminar closest to you and ask us directly. The goal is clarity, not pressure.

Other questions people ask first

See the full Winning With AI FAQ | Find a seminar near you | Browse all cities