ChatGPT in the world: real data on adoption and behaviors

The context: from ChatGPT as a novelty to ChatGPT as an everyday tool

Until a few years ago, ChatGPT was perceived mainly as a tech experiment. Today, the data says otherwise. OpenAI has released a new batch of OpenAI Signals , your source of insights on global platform usage. The results confirm a structural shift: the world is moving from querying AI to delegating concrete tasks to it.

This shift in perspective is no small deal. It means users have gotten past the initial learning curve. Plus, it means companies are starting to bake ChatGPT right into their daily workflows, rather than just messing around with it on the side. For marketing and digital folks at Italian small-and-medium businesses, this is a big strategic cue you don't want to sleep on.

We at SHM Studio we monitor these data closely. In fact, the gap between those who adopt AI in a structured way and those who still use it sporadically is widening rapidly. Therefore, understanding global trends is the first step to building a coherent strategy.

The numbers that matter: what OpenAI Signals data is really telling us

OpenAI Signals data shows several dimensions of analysis. First of all, active usage growth: the number of users interacting with ChatGPT regularly and recurrently has increased significantly compared to last year. However, the most interesting metric is not raw growth, but the depth of use.

In particular, it emerges that more advanced users use ChatGPT for multi-step tasks: document analysis, structured content generation, professional writing support, automation of repetitive processes. This type of use was a minority in 2024. Today it represents a growing share of total sessions.

Similarly, country-by-country data reveals major differences. Some markets — typically those with high digital penetration and a strong tech culture — feature users who rely on AI as an everyday productivity layer. Other markets, including parts of continental Europe, are still in a more cautious adoption phase. So, the gap isn't just technological: it's cultural and organizational.

According to independent research by McKinsey , companies that integrate AI into their core processes see significantly higher productivity gains than those that use it only for peripheral tasks. OpenAI Signals data is consistent with this view.

Strategic take: three trends to keep an eye on

The data analysis reveals three key strategic trends for Italian marketing managers.

1. Professionalizing the use

Users are becoming more sophisticated. They are not satisfied with generic answers. They look for outputs tailored to their context, their industry, their tone of voice. This has direct implications for those who develop AI solutions for businesses: personalization is no longer a nice-to-have, it is a baseline requirement.

2. Integration into business workflows

ChatGPT is no longer used just in standalone sessions. Increasingly, it is integrated into business tools, CRM platforms, and content management systems. As a result, the boundary between AI and business software is blurring. For Italian SMEs, this opens up concrete opportunities in the field of Digital marketing and content automation.

3. Geographic differentiation

Data by country shows that adoption is not uniform. However, markets that currently appear to be lagging tend to catch up quickly once the critical adoption threshold is crossed. Therefore, Italian companies investing in AI skills now are getting ahead of the curve.

Work in progress: what's missing for true AI adoption in SMEs

OpenAI Signals data describes global usage. However, the reality of Italian SMEs has specific features worth analyzing separately. In many cases, the main hurdle isn't technological. In fact, ChatGPT is accessible, relatively inexpensive, and doesn't require complex infrastructure.

The real bottleneck is organizational. Companies haven't yet defined who is responsible for AI adoption, which processes to automate first, or how to measure the return. Besides this, prompt and output governance is often missing: AI is used in an unstructured way, with inconsistent results.

According to Gartner , organizations that define an internal AI policy before scaling adoption get more consistent results and reduce operational risks. This also applies to SMEs, not just large corporations.

We at SHM Studio we work with our clients right at this level: not just on technical implementation, but on process structuring and priority setting. Our approach always starts with an analysis of the business context before introducing any tool.

Operational implications for marketing: where to act immediately

For marketing managers, OpenAI Signals data suggests a few priority areas for action. Below are the most relevant ones for the Italian context.

• Scalable content production: ChatGPT allows you to produce high-volume content while maintaining stylistic consistency. However, it requires a structured prompt engineering and editorial review system. Our team of SEO copywriting already integrates these flows into daily production.
• Support for paid campaigns: The generation of copy variations for google ads campaigns and LinkedIn campaigns is one of the most immediate use cases. It cuts down production time and makes A/B testing a breeze.
• SEO and semantic search: AI can speed up keyword analysis, thematic cluster structuring, and the production of optimized content. Our service for SEO integrates these tools systematically.
• Customer journey automation: From lead nurturing to content personalization, ChatGPT can support various funnel touchpoints. However, integration requires careful preliminary mapping.

In addition, it's worth considering the impact on the web experience. A well-structured site, with clear content and a solid information architecture, is the prerequisite for any AI-assisted strategy. Our service of web development takes these requirements into account right from the planning stage.

What the data doesn't show: the danger of superficial adoption

Global trends show growth. However, growth doesn't always mean quality of adoption. There is a real risk that companies adopt ChatGPT superficially: using it for trivial tasks, without integrating it into strategic processes, without measuring its impact.

This approach creates an illusion of modernity without generating a real competitive advantage. On the contrary, companies that achieve tangible results are those that have invested time in defining priority use cases, training teams, and measuring KPIs.

As highlighted by Harvard Business Review , generative AI produces value when treated like a structured thinking partner, not an advanced search engine. This distinction is crucial for setting strategy correctly.

To explore these topics further or to evaluate how to integrate AI into your company's marketing processes, you can check out our Blog or contact the SHM Studio team directly.

2027-2028 Outlook: towards AI as a marketing backbone

Current data is just a starting point. Projections for the 2027-2028 period indicate further maturation of the ecosystem. In particular, conversational AI is expected to become an infrastructural layer, natively integrated into marketing automation platforms, CMS, and analytics systems.

So, the question won't be "are we using AI?" anymore, but "how are we using it better than the competition?". That's why businesses that build up their skills and processes today are going to have a major edge over the next few years. Lastly, it's worth keeping in mind that AI doesn't replace a real strategy—it just supercharges it. And having a rock-solid strategy is still where you've got to start.