Miguel Simon

Miguel Simon Voice | Automation | Intelligence Teaching truth in a world of confusion.

10/03/2026

Apple announced this week that it is tightening security controls on macOS because AI agents have become powerful enough to access nearly everything on your computer: files, emails, messages, browsing history, photos. What used to be a routine permission prompt now carries a different weight.

Think about the last time you gave an AI tool permission to help with something. Maybe it was for invoices, scheduling, or drafting emails. You clicked allow. It helped. You moved on. But that permission is still sitting there, and the tool it applies to has likely gotten more capable since you granted it.

This is not a reason to panic or stop using AI. It is a reason to spend fifteen minutes doing something most people never do: audit what has access to your systems. Look at your apps. Review your permissions. Ask yourself whether you still trust what you gave access to six months ago. That is not paranoia — it is basic hygiene for anyone using modern tools in their business.

Have you ever audited which apps have access to your files or data — and if so, what did you find?

10/02/2026

For years, the pitch to small business owners has been a version of the same thing: keep up with technology, or get left behind. Website. page. Instagram. App. TikTok. The list kept growing, and the implication was always that falling behind was your fault.

Shopify launched something this week called Canvas. You describe what you want your online store to look like in plain conversation, and an AI assistant builds it while you watch. No developer. No plugins. No technical knowledge required. Just say what you mean.

What matters about this is not the feature. It is what the feature admits: that the technology has been asking too much. The businesses that could not keep up were not failures of ambition. They were failures of design. When the tool finally meets the person where they are, the person shows up.

What technology have you avoided because the learning curve felt like it was not worth the effort?

10/01/2026

A story broke this week about an AI startup CEO publicly accusing his own board adviser of stealing trade secrets and moving to a competitor. The tech world covered it as industry drama. But it raises a question.

When you bring someone into your operations, how do you know you can trust them? A new automation consultant is going to see how your business actually works, not just what it looks like from the outside. Your processes, your customer data, your margins took years to build. That access is not a small thing.

The businesses I see make the best decisions about automation are not the ones chasing the newest tools. They are the ones who take as much time vetting their partners as they do vetting the software. The technology is almost never the risk. The people holding it are.

What does your process look like for deciding who to trust with access to your business systems?

09/30/2026

OpenAI announced it wants ChatGPT to function as a platform where businesses find and run software directly, cutting out traditional app stores. For a small business owner managing six different logins and three billing cycles, I understand why that sounds like a relief.

But what I want every business owner to ask before signing on: what happens to your operations when one platform controls all of it? Pricing changes. Policies shift. Platforms go down. Right now, if one of your five tools fails you, you switch. When they all live behind one door, the calculation is different.

This is not doom-and-gloom. Consolidation can be powerful. The businesses that get hurt are the ones who mistake convenience for control, and only realize the difference when something goes wrong.

As AI platforms start bundling more and more into one place, are you paying attention to the terms you are agreeing to?

09/29/2026

OpenAI scrapped one of their most advanced AI models this week because it wouldn't follow instructions.

The company with more AI resources than almost anyone on the planet built something too impressive to use and too unpredictable to ship.

This is actually the most useful piece of AI news for small business owners I have seen in a while. Not because it is a failure — because it is a reminder. A bakery doesn't need AI that writes poetry. It needs AI that reliably answers a customer at 10pm. A three-person service business doesn't need the most powerful model. It needs something that shows up, does its job, and doesn't require constant supervision.

The question to ask before any AI tool decision is not what can this do. It is can I depend on this. Reliability beats capability in a real business environment, every single time.

What's the most important thing you need from any tool you bring into your business? My answer is always the same: it has to work.

09/28/2026

SNL made fun of the CEO of Anthropic this week. "AI is the devil and I its maker." The audience laughed.

That kind of moment is worth paying attention to. Not because it is accurate, but because it is a signal. When mainstream entertainment is writing AI anxiety into comedy sketches, it means the fear has moved beyond tech circles. It is sitting in your customers' living rooms.

There is a contractor right now who uses AI to build estimates but does not mention it to his clients because he thinks they will assume he is cutting corners. There is a business owner who just saw that sketch and is now wondering what the AI behind her customer service chat is actually doing with her data. These are not fringe concerns. They are the questions your customers are forming whether you hear them or not.

The businesses that will win long-term trust are not the ones with the best AI. They are the ones willing to have an honest conversation about it. What they use. What it does. What it does not do. That conversation does not have to be technical. It just has to be true.

How do you talk about AI with your customers right now?

09/27/2026

Insurers reported this week that hospitals using AI diagnostic tools drove nearly a billion dollars in additional healthcare spending over two years.

The AI worked exactly as designed. It found more. It flagged more. It recommended more. The problem was not the technology.

The problem was what the technology was pointed at.

This is the thing that does not get discussed enough: automation does not make decisions for you. It amplifies them. If a hospital system optimizes for procedure volume instead of patient outcomes, an AI built into that system will optimize for procedure volume faster and at larger scale. The intention was always the bottleneck, not the tool.

The right question before any automation decision is not can we automate this. It is are we solving the right problem. Because automating the wrong thing does not fix anything. It just makes you wrong faster at greater cost.

What is one process you have been thinking about automating — and have you checked whether the process itself is actually the problem?

09/26/2026

OpenAI's AI research agents posted 53 user images publicly this week without anyone at the lab knowing. By the time someone caught it, the images were already out.

This is not a reason to panic about AI. It is a reason to ask better questions before you use it.

Most small businesses are now using some form of AI tool — writing emails, drafting proposals, uploading customer screenshots or product information. That is not the problem. The problem is handing a tool your data without knowing where it goes, what gets stored, who can access it, or what the terms of service actually say.

Three questions worth answering before your next AI tool: Where does my data go when I use this? Does the free tier train the model on my inputs? And who is responsible if something goes wrong?

Not a tech audit. Not a security overhaul. Just three questions that could save you a serious headache.

Which of those three would you not know how to answer right now?

09/25/2026

Amazon made news this week by opening their AI tools to small marketplace sellers. Inventory forecasting. Automated product listings. Delivery optimization. The same technology that enterprise brands have been using is now accessible to someone selling from their spare bedroom.

That is genuinely worth paying attention to.

But the part nobody is leading with is this: the tools are democratized. The knowledge isn't. The gap between what is technically available and what a busy, non-technical person actually knows how to use is where most opportunities quietly disappear. Not because someone lacked access. Because nobody showed them how.

If you are selling online, or thinking about it, the question is not whether these tools exist. They do. The question is whether you have someone who can translate them from technically available into actually running.

What is one part of your online presence you have been meaning to improve but have not had the bandwidth to figure out?

09/24/2026

Meta launched a wearable this week designed to carry their AI around like a digital companion. They actually used the word Tamagotchi. It looks like one too.

The product is clever. But it is also a good reminder that a lot of what gets called AI right now is mostly theater. Novel, well-designed, backed by billions in marketing, and almost completely irrelevant to anyone trying to run a business with a handful of employees.

What is relevant happened quietly the same week. Google launched two new AI voice models built specifically to make voice interactions feel natural and reliable. No wearable. No companion. Just better technology behind the kind of system that answers your phone when you are on a job site, follows up with a lead when your team is in the field, or books an appointment while you are handling someone in person.

Voice AI is getting good. Not flashy good. Useful good. The kind that saves real time for real businesses.

If you could hand off one kind of inbound call to a system that handled it reliably, what would it be?

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