Maturity of AI Usage

Two recent pieces of news reveal something important about the direction of artificial intelligence and something well worth paying close attention to.

The first came from OpenAI, which announced ChatGPT Health. The tool didn’t emerge by chance; it addresses a real problem. More and more people are using AI to ask health-related questions, often in inappropriate ways, which can lead to misinterpretations and even dangerous decisions.

The second piece of news came from Dell. The company revealed that, in practice, its customers are not interested in buying “AI-powered” laptops. The deciding factors remain performance, reliability, and cost-benefit not the technological label.

What do these two news stories have in common? They both show something we’ve discussed here before: the AI hype is over.

People no longer want AI just for the sake of AI. They want something useful, applicable, something that solves a concrete day-to-day problem. The launch of ChatGPT Health proves this. It’s not a “flashy” innovation, but an attempt to correct an improper use that was already happening an effort to improve a real and recurring use of the tool. OpenAI itself has shared massive numbers of people using ChatGPT every day to ask questions about health and well-being. It’s a real, relevant use case and shows exactly what people are looking for: something real and meaningful.

Today, the question has changed. It’s no longer “does this have AI?” It’s “what is this for?” and “how does this help me right now?”. Selling anything just because it carries the “artificial intelligence” label no longer convinces anyone. This shift leaves an important lesson: AI is not a passing trend but it’s also not a differentiator on its own.

We’re entering a more mature phase, where technology stops being a spectacle and becomes a tool. Just as happened with the internet, smartphones, and cloud computing, there comes a point when no one is impressed by the technology itself anymore, the value lies in what it allows you to do better, faster, and with less effort.

For a long time, AI was used almost as entertainment: generating funny images, putting celebrities into unrealistic photos, creating curious texts. That helped popularize the technology, but it didn’t sustain long-term value. Now, the game has changed.

Companies and professionals are beginning to understand that using AI properly requires specialization, context, and responsibility. It’s not enough to “turn on AI” and expect magical results. You need to know where to apply it, which limits to respect, and how to integrate the technology into real, everyday processes. Those who treat AI merely as a fad run two clear risks: wasting time and money on solutions that solve nothing, and falling behind while others learn to use the technology strategically.

AI maturity begins precisely when it stops being the center of the conversation. The focus shifts to efficiency, clarity, control, and results. And that applies to healthcare, customer service, marketing, or any other field. In the end, the most important question isn’t whether something “has AI,” but whether it makes sense to use it there. Those who understand this early won’t just keep up with technological evolution they’ll use it to their advantage.