The Case for Slower AI Adoption
Everyone is telling you to move fast. Learn AI now. Implement it yesterday. If you don’t act today, you’ll be left behind tomorrow.
I’ve said versions of this myself, and I stand by it: AI is reshaping how work gets done, and ignoring it entirely is not a viable strategy. But there’s something I think more people need to hear. You don’t have to move at everyone else’s pace to be successful.
The Problem with “Move Fast” as a Default
The AI education space right now is dominated by urgency. Every course, every webinar, and every tech guru is selling speed. They want you mastering tools over the weekend, implementing workflows by Friday, and scaling content by next month.
For some people, that pace works. If you have space in your schedule, mental bandwidth to spare, and a business that can absorb experimentation, moving fast makes sense. But the reality is that very few people fall into that magical category where they have extra time and space in their schedule.
Some of you are running businesses that already demand everything you have. Raising children. Caring for aging parents. Rebuilding after a hard season. Working a full-time job while trying to build something on the side. For you, “move fast” is just exhausting. It creates pressure that leads to burnout or paralysis. You try to keep up, fall behind, feel like a failure, and eventually stop trying altogether.
The advice doesn’t fit your actual life.
What Slower Adoption Actually Looks Like
Slower adoption means taking the time to actually understand what you’re doing before you start doing it. Just because you adopt slower doesn’t mean you are failing, in fact, it will probably lead to greater long-term success.
So many people automate without even knowing WHY they are automating that thing in the first place. So they have no clear understanding of the value of the automation or where they might be losing a valuable human aspect of their business. Slower adopters also take the time to get clear on what they’re trying to say first, then let AI help them say it faster. This is really the key to successful AI use and it is how you build systems and businesses that last.
The people who rushed often end up with a pile of half-implemented tools, workflows that don’t connect, and content that sounds like everyone else’s. When you move fast and don’t understand what you’re building, things break.
Why This Matters More for Some People
If you already have a business, you have something to protect. You’ve built a reputation, client relationships, and a voice your audience recognizes. Moving too fast with AI can damage those things if you’re not careful.
If you have a family, you can’t just magically create more hours in the day. You can’t just “find more hours” to learn a bunch of new tools. Every hour you spend learning AI is an hour away from your family, your business, or your rest. That matters.
If you’re in ministry or faith-based work, the stakes are different. You’re shepherding people. The consequences of getting it wrong matter more. Taking time to think through the ethical and spiritual implications is stewardship.
If you’re rebuilding after a difficult season, you don’t have reserves to burn on experiments that don’t work. You need approaches that are sustainable from the start, approaches that won’t leave you depleted. If any of this sounds like you, going slower is the wise move.
The Hidden Cost of Moving Too Fast
I’ve watched people burn through thousands of dollars on AI tools and courses, implement nothing meaningful, and end up more confused than when they started. The speed didn’t serve them.
Creators who automate their content too aggressively often find their audience stops responding and engaging because something feels off and frankly it gets boring only reading AI generated copy. The saved time in that case truly isn’t worth the trust loss.
At the end of the day, moving fast only matters if you’re moving in the right direction.
What I’d Recommend Instead
If you’re feeling pressure to catch up on AI and you don’t have unlimited time or energy, here’s my suggestion:
Start with education. Before you touch any tool, understand the landscape. Learn what AI is actually good at, what it’s bad at, and what to watch out for. This foundation prevents expensive mistakes later.
Pick one area that matters most for your situation right now, whether that’s content creation, research, customer communication, or systems building. Go deep there before expanding. The goal is to build understanding that compounds over time. If you understand why something works, you can adapt when the tools change - and let me tell you - they are changing rapidly right now. If you just memorize steps without understanding why they work, you’ll be lost every time something changes.
Most importantly - find a guide who respects your pace and where you are in your learning journey. Find teachers who care about doing things right, not just doing things fast.
Where to Start If You’re Ready to Learn at a Sustainable Pace
This is why I point people toward the AI Revolution Secrets training. It gives you a clear framework for understanding AI, practical implementation you can actually use, and an approach that prioritizes ethics and sustainability over hype.
You’ll learn how AI is reshaping work and income without the fear-mongering that dominates most of the conversation. The training shows you how to use AI responsibly, without losing your voice or compromising your values. And it meets you where you are, respecting your time and your capacity.
If you’ve been feeling behind or pressured, this training is built for you. It gives you a realistic, grounded path forward.
Register for the free AI Revolution Secrets training here
Why Slower Might Be Smarter
Five years from now, the people still standing will be the ones who took the time to actually understand what they were building and why it mattered. That can be you.