AI Adoption Is Scaling Fast. Why Aren’t More Brands Talking About It?

AI adoption is accelerating across large enterprises, but many companies are failing to communicate their successes. New research from the AIDE Institute suggests that “stealth adopters” are creating competitive advantages while missing opportunities for thought leadership, employer branding, and market differentiation. 

We’re told that enterprises have an AI problem. They’re great at experimenting with the tech, but when it comes to operationalizing at scale, businesses hit a wall. Industry stats seem to bear this out. According to global research from SparkOptimus, just 15% of AI initiatives ever manage to truly scale. Meanwhile, a study by EXL found that just 12% of UK businesses meet the criteria to qualify as an AI leader. 

But what if there was more to this story than meets the eye? Certainly, if new research by the AIDE Institute is anything to go by, this could well be the case. 

What does the AI Index show?

The 2026 S&P 500 AIDE Index is a benchmark of AI maturity across America’s largest enterprises. For the index, AIDE analyzes 518,779 source documents and 271.9 million words to measure AI literacy, advocacy, orientation, and implementation. It aims to cut through AI noise to get to the factual heart of where businesses are with real-world adoption.

Looking at the tech sector, this first edition makes for interesting reading. The quadrant produced for the report shows quite clearly that a lot of the bigger players are delivering on their promises, but tend to underplay the results. 

Unsurprisingly, the “AI visionaries,” companies like Microsoft, Palo Alto, and Accenture are blazing a trail and lead the industry in terms of both strategic intent (literacy and advocacy) and operational integration (orientation and integration.)

But much more interesting is the quadrant that AIDE defines as “stealth adopters.” Comprising companies like Broadcom, Zebra Technologies, and Go Daddy that score highly on operational integration but are lagging behind the leaders when it comes to strategic intent.

These businesses are of interest because they are clearly hiding their AI light under a bushel. They are seemingly operationalizing AI within their organizations at scale, but not shouting about their successes. 

What does that mean for comms?

From a communications perspective, this opens a tantalizing prospect: that there are a number of highly innovative companies that aren’t getting the visibility their technology initiatives deserve. Given that AIDE’s index only covers S&P 500 companies, it’s also possible that the volume of AI innovators flying under the radar is actually much, much larger than we realize. 

So what does this all mean for those stealth adopters? In short, it means that a prime opportunity for brand building is going to waste. With so much hype and fluff currently in the market around AI, businesses that can demonstrate tangible successes at scale will stand out. 

What’s required is focused messaging on the tangible benefits of AI at scale, supported by credible proof points, case studies, and testimonials. If you’re a global business, your successes need to be communicated widely across geographies. AI is a global story, and news of successful implementations in one geography can help when it comes to scaling in another. 

Why keeping quiet isn’t an option

We also need to consider why some companies might be keeping their AI successes to themselves. Here we can only speculate, but it’s possible that fears over an AI backlash or increased regulatory scrutiny could come into play.

However, by staying silent, these brands are potentially leaving an enormous amount of brand equity, market leadership, and talent-attraction power on the table. By focusing AI messaging on human empowerment and communicating the major business benefits that come with the technology, brands will be able to control the narrative around their AI initiatives. 

The next era of business is going to be defined by companies that get to grips with AI fastest and bring the technology into production at scale. If your business has already done the internal work, it’s time to start telling people.