Beyond the Buzzword: How AI Washing Is Diluting Corporate Credibility in 2026

The corporate world is experiencing a gold rush, but instead of precious metals, companies are scrambling for algorithms. As the hype surrounding artificial intelligence reaches a fever pitch, a growing number of businesses are performing what communications professionals have described as "yoga-level" stretches to rebrand themselves as technology pioneers.

This phenomenon, gaining rapid notoriety as "AI washing", involves marketing traditional automation, basic software updates, or decades-old technologies as cutting-edge artificial intelligence. From retail to real estate, executives are forcing public relations teams to inject AI into product names and press releases, often under duress, in a bid to capitalise on investor enthusiasm and media attention.

For businesses across the MENA region, where AI investment and national strategy are at an all-time high, understanding the difference between genuine AI capability and rebranded automation is not just useful: it is a commercial and reputational necessity.

The mechanics of the AI wash

At its core, AI washing is a marketing sleight of hand. Publicists in tech hubs like London and New York report a steady stream of non-tech clients demanding to be pitched to journalists as AI specialists. The strategy typically manifests in three distinct ways.

The first is the rebranding of legacy automation, where standard algorithmic rule-following or data scanning is relabelled as AI-driven. The second is the pivot by proxy, where companies acquire minor tech assets such as graphics processing units or implement basic chatbots to claim a core business transformation. The third is what industry insiders call the commentator approach: positioning traditional executives as AI thought leaders despite their companies having no proprietary stake in the technology.

"You can almost hear the eyes roll when you mention the word AI to a reporter," said a publicist in south London, speaking to The Guardian. "I have watched a steady stream of companies try to bolt the label AI on to whatever they do, no matter how tenuous the link."

Real world examples: from sneakers to surveillance

The desperation to attach the AI label has led to highly tenuous marketing claims. The following examples illustrate how far brands are willing to stretch.

The AllBirds case is particularly striking. After the once sustainable footwear brand issued a vague announcement about pivoting to AI in April 2026, its share price surged 600 per cent. The company plans to rename itself NewBird AI and relinquish its status as a public benefit corporation, all without any disclosed proprietary AI technology underpinning the rebrand.

The PR backlash: fatigue in the inbox

While C-suite executives view AI branding as a route to higher stock valuations, the public relations professionals tasked with executing that narrative are experiencing significant burnout. Media strategists report that journalists have grown entirely numb to the vocabulary of innovation.

Imran Ariff, a media strategist at Fight or Flight, a London-based communications agency, captured the dynamic precisely: "It can be easy for brands to drink their own Kool-Aid when they are so proud of what they are doing and, consequently, go too far in their efforts to promote their AI capabilities."

According to industry insiders, roughly 50 per cent of AI-related press releases are sent out against the better judgement of the PR agencies involved. When marketing materials describe products as "AI-powered" or "AI-driven" for items that merely feature better-than-average automation, it actively damages the brand's long-term media credibility. As one account director described a property company's floor-plan scanning tool: "It is just a handheld scanner. There are probably elements of AI in it that speed the process up, but it is actually just automation. It is not the kind of AI that many of us assume it to be."

The financial and human cost of the hype

The rush to align with AI is not purely about consumer marketing. It is a calculated play for capital markets. While investors have remained largely focused on tech integration signals, the frantic corporate restructuring that accompanies AI positioning carries a severe human cost.

As multinational corporations assess how closely to align their images with AI, they are simultaneously executing thousands of redundancies. The tension between AI as a branding exercise and AI as a genuine operational transformation was starkly exposed last week when Standard Chartered chief executive Bill Winters was forced to apologise after publicly referring to employees poised to lose their jobs to automation as "lower-value human capital." The bank has indicated it plans to eliminate as many as 8,000 positions over four years as it implements AI across its operations.

The incident drew sharp criticism globally, including from the Gulf region, where AI-driven workforce transformation is an increasingly live policy debate. For organisations in Dubai and across the GCC that are navigating their own AI adoption journeys, the episode serves as a cautionary note: the language used to describe AI strategy matters as much to employees and regulators as it does to investors.

Separately, data from Challenger, Gray and Christmas shows that AI was cited in 12,304 US job cuts in the first two months of 2026 alone. A National Bureau of Economic Research paper, however, found that 90 per cent of executives say AI has had zero impact on employment at their companies, raising serious questions about the honesty of these disclosures.

Conclusion: the danger of drinking the Kool-Aid

When everything is advertised as AI, nothing feels intelligent. For businesses looking to maintain genuine authority, the path forward requires clearly distinguishing true generative and predictive AI capabilities from standard digital evolution. Regulators are watching: the US Securities and Exchange Commission imposed its first AI washing penalties in March 2024, fining investment firms Delphia and Global Predictions for fabricating AI capabilities in their investor disclosures. The EU AI Act is tightening requirements further.

For enterprises across the MENA region investing seriously in AI capability, the credibility gap created by AI washing is a problem that affects the entire ecosystem. When the label loses meaning, genuine innovation becomes harder to communicate, harder to fund, and harder for customers and regulators to trust. Until the hype cycle corrects itself, the media's collective eye-roll will only grow wider.