# ChatGPT ads: how AI is changing digital advertising for SMEs

**ChatGPT ads** are about to reshape the economics of the web. As OpenAI prepares to launch advertising in ChatGPT for 2026, small and medium Italian companies face a strategic fork: invest in artificial intelligence to compete, or stay anchored to outdated models.

## The turning point: 800 million users and 25 billion dollars

OpenAI has declared war on traditional business models. With 800 million weekly active users, Sam Altman's company is building an advertising infrastructure that could generate a billion dollars as early as 2026 and reach 25 billion by 2029. These are figures that dwarf most projections: the number approaches the expected revenue from OpenAI's own enterprise AI services.

Launching ChatGPT ads is not simply opening a new advertising channel. It is a paradigm shift in the interaction between users, brands and digital platforms. Unlike traditional search engines that capture fragmented queries, or social media where users scroll passively, ChatGPT captures moments of high intent: articulated conversations, requests for advice, comparative research and purchase decisions at a mature stage.

The difference is substantial. When a business owner asks ChatGPT which CRM solutions suit a manufacturing SME with 50 employees, they express a precise, contextualised, high-value commercial intention. That interaction is worth far more than a casual click on a banner or a distracted scroll on Instagram.

## What Italian SMEs are missing

The Politecnico di Milano data are clear: in 2025 Italian companies' digital investments grew 1.5%, with SMEs up 3.7%. On artificial intelligence, 43% of large companies list AI as an investment priority. Yet only 8% of Italian companies actually use AI technologies, well below the European average.

The problem is not only quantitative. The Observatory's research reveals something more worrying: 54% of Italian SMEs say they invest in digitalisation, but only 19% adopt advanced technologies in a structured way. In short, many companies confuse being on Facebook with a digital strategy and buying management software with digital transformation. On perception, 20% of SMEs consider digital marginal in their sector, 10% do not understand its benefits and 9% see costs as excessive.

## Why ChatGPT ads changes the rules

Advertising on ChatGPT is not another channel to add to the media mix. It is a different model of commercial interaction, moving from keyword targeting to conversational intent targeting. Traditional search engines rely on keywords. Social media target interests and behaviour. ChatGPT can target the actual intent expressed in natural language, and the difference in precision is exponential.

Consider a concrete case. A logistics company wants to optimise warehouse management. On Google it might search for warehouse management software, triggering generic ads. On ChatGPT the conversation might be: I have a 2,000-square-metre warehouse with 15 staff, we handle 300 SKUs with average monthly rotation, we have traceability problems and picking times that are too long. What solutions exist with a budget of 30,000 euros? The level of contextual information, intent quality and decision timing are incomparable, and that changes both the value of the advertising impression and the type of companies that benefit.

Digital history teaches that early adopters of new advertising platforms gain structural advantages. Those who invested in Google Ads in the early 2000s built billion-dollar businesses at marginal cost; those who moved early on Facebook between 2008 and 2012 acquired customers at costs now unthinkable. ChatGPT ads in 2026 represents the same opportunity, with one critical difference: the window will be shorter. The maturity of the digital advertising market and the speed of user adoption will compress the blue-ocean period drastically.

## The Italian ecosystem

A recent study promoted by Amazon Ads found that 91% of Italian SME marketing managers believe AI-based advertising tools will drive future growth. 52% are already using or testing AI tools for advertising, often without adequate data governance and regulatory compliance. Yet 28% feel overwhelmed by the available offer, 42% do not know where to start and 26% feel unprepared.

The main brakes are four: the owner's cognitive overload, since the entrepreneur already manages accounts, sales, production and customers; the absence of nearby use cases, because the typical owner imitates peers and without peer pressure collective immobility persists; distrust towards digital vendors, after negative experiences with improvised consultants and unfinished projects; and the difficulty of quantifying the ROI of AI investments, which makes significant budgets hard to justify.

## The numbers that matter

Beyond the rhetoric of innovation, concrete metrics show the economic impact of advanced digital technologies. According to Unioncamere, Italian SMEs that adopt digital technologies record a 12% productivity increase. When digital investments are accompanied by staff training, the increase can reach 14-17%.

On AI in marketing specifically, the Amazon Ads research shows that Italian SMEs using AI-based advertising tools estimate saving 4.7 hours a week in campaign creation and management, about 25 working days a year. 30% reinvest that time in commercial activities and 20% in team skills. Even more significant: SMEs adopting AI in marketing expect a 24.7% reduction in advertising costs over the next year, through the efficiency of automation and advanced targeting rather than a lower investment. Luiss research on AI in Italian advertising shows companies devoting 6% to 10% of their media budget to AI experimentation, with strong growth in retail, automotive, fashion and financial services.

## What to do concretely

Italian SMEs have three strategic options. The first is to wait for the market to stabilise, the most common choice, corresponding to the mantra that things have always been done this way. In a fast-changing market, waiting means accumulating competitive delay: by the time the market stabilises, the early-adoption advantages will already have been captured.

The second is to invest autonomously in AI tools. Dozens of platforms now promise to democratise access to AI, but the risk is twofold: an abundance of options that generates decision paralysis, and an absence of internal skills that turns the investment into a cost with no return.

The third is to rely on specialist skills to build tailored strategies. This is the most effective approach but requires a mindset change: building a strategic path that integrates technology, processes and skills, rather than buying a tool or delegating operations. The difference between the three options lies in the opportunity cost, not in the immediate cost. A company that stands still loses market share; one that invests badly burns resources; one that invests well builds lasting competitive advantage.

## The support model

For Italian SMEs the challenge is organisational and cultural as much as technological. An effective approach works on three levels: assessment and mapping of the current state, understanding processes, bottlenecks and available skills before investing; design of integrated architectures, since AI in marketing is never an isolated tool but integrates with CRM, analytics, automation and content management; and skills transfer, so that the company can manage tools autonomously and evolve its strategy over time.

## Beyond the single platform

ChatGPT ads will matter, but it will not be the only relevant evolution. Google is integrating AI across its advertising properties, Meta is developing automated Advantage+ campaigns, Microsoft is strengthening Bing with Copilot and Amazon is expanding the AI capabilities of Amazon Ads. The real change is the paradigm, not the single platform: from advertising based on manual placement and rigid keywords to advertising based on AI that understands intent, optimises creatives automatically and personalises messages in real time. Companies that focus on the single tactic will always stay one step behind. Those that build organisational capability to understand and use AI will be able to adapt to whatever comes next.

## The window is closing

The gap between those who adopt AI and those who fall behind is widening quickly. Companies in the top productivity quartile using AI technologies grow from 6.5% to 9.2% among SMEs, and from 15.2% to 46.2% among large companies. AI is becoming a discriminating factor of competitiveness, and moving first builds advantages that become barriers to entry for those who arrive later. The window to position as an early adopter is limited: ChatGPT ads will arrive in 2026, probably in the first or second quarter.

## A question of priorities

For Italian SMEs, investing in AI and advanced digital marketing is no longer an accessory option to consider when resources allow. It is a strategic necessity to stay competitive. Many companies still reason with the logic of the past: treating digital as a cost to compress, evaluating technology investments over too-short horizons and looking for quick fixes instead of building lasting capability. That approach was sustainable in a stable market. It is no longer. Digital transformation based on artificial intelligence is a question of skills to build, processes to rethink and organisational culture to evolve.

Advertising is only part of the mix, and [the ROI of local micro-influencers](/en/ecorner/2025/local-micro-influencer-roi.html) measures the other channels against the same budget.

## Frequently asked questions

**What are ChatGPT ads?**
An advertising system OpenAI is preparing to launch in ChatGPT in 2026, based on advertising in a conversational context. Instead of inserting ads next to search results or in a social feed, it places commercial messages inside a dialogue where the user expresses a precise intent.

**Why does intent targeting matter?**
Because it captures the actual need expressed in natural language, with full context and decision timing. A detailed request for advice is worth more than a fragmented keyword query or a distracted scroll, for both the advertiser and the user.

**Should a small company wait or move now?**
Waiting for the market to stabilise means accumulating competitive delay. The early-adoption window is limited, and the skills needed to use these tools well take time to build. Companies that start now arrive prepared when the channel opens.

**What does an SME actually need beyond the tool?**
The challenge is organisational and cultural. It requires mapping the current state, designing integrated architectures rather than disconnected tools, and transferring skills to build autonomy.

## Sources

Politecnico di Milano, Digital Innovation Observatories — digital investments and AI adoption in Italian companies, 2025 — https://www.osservatori.net
Amazon Ads — research on AI tools in Italian SME marketing — https://advertising.amazon.com
Unioncamere — productivity impact of digital technologies in Italian SMEs — https://www.unioncamere.gov.it
Luiss — artificial intelligence in the Italian advertising sector — https://www.luiss.it