With the boom of artificial intelligence, more and more companies claim that their products or services are “powered by AI.” While the use of this technology continues to expand, its actual role is not always as significant as brands communicate it to be — something that can ultimately affect credibility, trust, and brand reputation.
When it comes to achieving effective corporate communication, AI can sometimes become — often unintentionally — more of a narrative device used to attract market attention than a true reflection of a product’s or service’s technological capabilities. This practice is known as AI washing, a term used to describe the tendency to exaggerate or overstate the role of artificial intelligence within a technological offering.
AI washing is growing among technology companies
Nearly 40% of “AI startups” were not substantially using artificial intelligence, according to a report by venture capital firm MMC Ventures.
Beyond revealing possible exaggerations in brand messaging, this data highlights an important issue: when the narrative around AI exceeds its actual implementation, it can damage the credibility of companies that place it at the center of their value proposition.
Exaggerating AI is already becoming a reputational risk for brands
As artificial intelligence gains prominence in brand narratives, the need for clear and effective business communication about its real application also grows. The enthusiasm to highlight this technology can become a risk for brand reputation if companies fail to explain its actual scope within their products or services accurately.
When corporate messaging excessively emphasizes the use of artificial intelligence without a clear connection to its real implementation, brands risk creating expectations that their products or services may not actually fulfill.
Considering that audiences — especially in B2B environments — now have greater access to information, compare solutions more carefully, and scrutinize technological promises in more detail, these inconsistencies can quickly become a source of distrust.
On the other hand, the overuse of the term “AI” within brand storytelling can also lead to saturation. If every company claims to be powered by artificial intelligence, the concept loses its differentiating power and becomes more of a rhetorical resource than a true competitive advantage.
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If your brand uses AI, explain it properly: keys to better communication
How should companies communicate the use of artificial intelligence effectively? Strong corporate communication goes beyond simply mentioning the technology. Brands that build trust are those that clearly explain AI’s role within the product or service and connect it to real benefits for users or businesses. Several practices can help create a stronger and more credible narrative, including the following:
- Prioritize the problem before the technology. Communication should begin with the operational context: the challenges customers face, why traditional tools struggle to solve them, and what changes the proposed solution introduces. “Artificial intelligence should appear as part of the solution mechanism, not as the central focus of the narrative,” the expert explains.
- Explain how it works in understandable terms. Companies often try to demonstrate sophistication by describing algorithms or technical architectures that are difficult for most audiences to understand. It is not necessary to detail algorithmic models to prove technological capability; instead, brands should clearly explain the process — for example, how data is collected, how it is analyzed, and what types of decisions or recommendations the system produces.
- Incorporate evidence. Use cases, measurable results, and concrete examples help transform a technological promise into a verifiable story. This type of evidence enables brands to build stronger narratives for their audiences, especially in B2B marketing, by demonstrating that AI is not merely a branding element, but a tool that produces tangible business results.
- Acknowledge limitations and conditions of use. Mature communication around artificial intelligence also involves explaining the conditions under which the technology can deliver the expected results. By clearly communicating the scope and requirements of the solution, brands demonstrate a responsible understanding of the technology and avoid creating unrealistic expectations, strengthening trust among customers, partners, and key audiences.
- Build thought leadership, not just product promotion. Brands that successfully position themselves as leaders in AI-driven solutions often do so by actively participating in public conversations about the topic, contributing knowledge, context, and perspectives that enrich the broader discussion around this technology.
It is clear that the real differentiator for brands offering AI-powered solutions will not simply be adopting the technology, but clearly explaining the value it truly delivers. Credibility around innovation is built when corporate messaging successfully connects technology with concrete results, real-world use cases, and realistic expectations.
For brands, this means translating technological complexity into stories that are understandable, relevant, and verifiable for their audiences. Achieving a balance between technological enthusiasm and transparency will be essential for building stronger and longer-lasting trust with customers, partners, and investors.
Is your brand communicating the real value of its AI — or simply following the trend?
FAQS
1. What is AI washing?
AI washing is a practice in which companies exaggerate the use or capabilities of artificial intelligence within their products or services. It happens when commercial messaging gives AI a more prominent role than it actually has in the solution itself. This can damage credibility and create distrust among customers, investors, and audiences.
2. Why does exaggerating the use of AI affect brand reputation?
Overstating the use of AI can create unrealistic expectations around a product or service. When the real experience does not match the narrative, trust declines. In B2B markets, where audiences compare solutions and evaluate technological promises carefully, these inconsistencies can quickly become a reputational problem for the brand.
3. How should companies communicate the use of artificial intelligence correctly?
The best way to communicate AI is by clearly explaining what problem it solves, how it works, and what results it delivers. Brands should prioritize concrete benefits, evidence, and real-world context while avoiding ambiguous or overly technical messaging. A transparent narrative strengthens trust and helps build long-term credibility around innovation.
This article was originally published on Soy.Marketing.
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