The AI Strategy You’re Actually Missing

There is a curious imbalance in how we talk about artificial intelligence today. The free models are not the best. Companies want to make money, so they charge for the better models. But they still release and upgrade the free versions over time, with even better features coming via subscription.

It is a balance to keep enough cool features in the paid versions while making the free versions good enough to draw new subscribers.

For business leaders, this pricing dynamic is a distraction. It focuses attention on the tool’s cost rather than the tool’s utility. I worry less about the monthly subscription fee right now. I am probably making the same reckless financial choices as the AI makers themselves, but I have realized that I have the ability to make money in a couple ways: by learning and building the things I need while also making commercial products out of them, or by helping people figure out how to integrate AI into their business.

People began coming to me for help before I was even trying to find business. Now I have to execute on it, but that was always the goal.

The real strategy isn’t about which model you subscribe to. It is about execution and integration.

The Human Element in the Loop

Unhelpful headlines often suggest that AI is a standalone solution. It is not. AI is just one of the parts of your business; you need to evolve them all in tandem to have the best chance of success. Your employees, especially, need to evolve alongside the technology.

When I look at the broader market, I see companies trying to skip steps. They buy the software but ignore the workflow. They want the result without the direction.

For this kind of thing, start by having a chat with an AI about what you want. It is important to define the goals or you won’t get the result you want. AI output improves exponentially as you provide more and more direction.

I have used a long career in IT to understand how to use these tools to code, without actually having to know how to program. I mainly need to be able to get the AI to understand what a successful outcome looks like, and sometimes other things like what the user and interface should look like.

This is the shift. You are not hiring a coder. You are hiring a translator. You are translating business outcomes into instructions that an AI can execute.

Execution Over Hype

The gap between potential and profit is execution.

I have watched companies try to kid themselves about AI. They treat it as a magic wand rather than the lever that it is. A lever requires a fulcrum. In this case, the fulcrum is your existing business structure.

If I have to spend a few hundred bucks in tokens over the course of a month, but it allows me to build something that brings in significantly more revenue, that’s a trade-off I will make. The challenge is not the cost. The challenge is the work.

That is the work: building the tools, and helping people figure out how to integrate AI into their business. Not by chasing the latest model release — by focusing on the specific category of work that matters to you.

Microsoft, for example, is taking an interesting approach to new AI models. Copilot hasn’t exactly caught on as they hoped, but their new releases show they split their development into multiple models more focused on specific categories, like image creation, rather than competing with the giant know-it-all models.

This is a signal. The era of the single, all-purpose AI model is fading. The future is specialized, focused tools that solve specific problems. Your strategy should mirror this. Don’t look for one AI to run your company. Look for specific AI applications that solve specific bottlenecks.

What This Means for You

1. Define the Goal First. Before you open a chat window, know what success looks like. AI works best with direction. If you don’t define the goal, you won’t get the result you want.
2. Focus on Execution. The technology is accessible. The barrier is no longer access; it is the ability to execute. If you can articulate what you want properly, you can build it.
3. Evolve Your Team. AI is just one part of your business. You need to evolve your employees in tandem. Train them to direct the AI, not just use it.
4. Ignore the Noise. The pricing models and the hype cycles are a distraction. Focus on the revenue and the efficiency. If the tool brings in enough revenue, the cost is irrelevant.

The future of AI in business isn’t about the model. It’s about the method. It’s about the human who can clearly define the problem and direct the tool to solve it.

That is where the value is. That is where the strategy lies.

We are here to help you build that. Not with hype, but with execution.

If you are ready to stop kidding yourself and start executing, Cairo is here for you; let’s talk.

I’ve been saying this for a while. This piece was pulled together by AI from 6 of my social media posts (07/2025 - 08/2026) and polished for Cairoglyphics.ai.