Walk down any digital street—or browse any social media platform—and you will get the distinct impression that artificial intelligence has completely conquered the daily lives of every human being on the planet. From generative AI tools writing corporate emails to image generators creating entire marketing campaigns, the narrative of absolute, universal AI dominance is everywhere.
However, new behavioral data suggests this perception is far from the reality on the ground. A recent analysis from Rand Fishkin, cofounder and CEO of SparkToro, reveals that AI adoption is undergoing a massive divergence. By analyzing desktop-panel data from Datos and audience comparison metrics from SparkToro, Fishkin has uncovered a fascinating trend: while professional and B2B audiences are doubling down on AI tools, broad consumer adoption is plateauing, and in some cases, even declining. This divergence is creating an illusion of universal growth that doesn’t actually exist across the wider population.
The Illusion of Universal AI Adoption
Why does AI feel so omnipresent if the data suggests otherwise? The answer lies in the highly visible professional echo chambers we inhabit online. If your daily routine involves scrolling through professional networks like LinkedIn, reading tech newsletters, or attending marketing webinars, you are constantly exposed to early adopters. This high-concentration bubble of tech-forward professionals creates a distorted perception of global tech adoption. We assume that because our peers are using these tools to write reports, analyze datasets, and draft copy, the average consumer must be doing something similar.
But this professional bubble does not reflect the behavior of the average internet user. Fishkin’s data highlights a sharp divide in how different audiences interact with AI. While B2B operators, programmers, and creative professionals are integrating tools like Claude, ChatGPT, and Gemini deeply into their daily workflows, broader consumer audiences are showing signs of “AI fatigue” or simply a lack of compelling, everyday use cases.
ChatGPT’s Desktop Growth Plateau
To understand where the AI market is heading, we must look closely at the numbers behind the market leader: OpenAI’s ChatGPT. For a long time, it seemed like ChatGPT’s growth curve would point straight up indefinitely. However, the desktop-panel data from Datos paints a very different picture of the U.S. market over the last several months.
According to the desktop data cited by Fishkin, OpenAI and ChatGPT usage has largely plateaued over a six-to-seven-month period leading up to early 2026. Here is how the trajectory looks when we analyze the specific user percentages:
- The Peak: In September 2025, ChatGPT desktop adoption in the United States reached its highest point, with approximately 37% of U.S. desktop users visiting OpenAI or ChatGPT.
- The Decline: By March, that figure had cooled off and dropped to 34%.
This plateau is not unique to the United States. The data shows a remarkably similar pattern unfolding in both the European Union and the United Kingdom. Interestingly, desktop usage rates in Europe and the UK remain roughly 10% higher overall than those in the United States, but the trajectory is identical: the explosive, exponential growth phase has ended, giving way to a flat or slightly downward-sloping curve.
There are several reasons why consumer-level desktop usage of ChatGPT may be hitting a wall. First, the novelty factor has largely worn off. Casual users who initially visited the site to write poetry, ask trivia questions, or experiment with prompt engineering have satisfied their curiosity and moved on. Second, much of the casual consumer interaction with AI has been decentralized; instead of navigating directly to ChatGPT, consumers are encountering AI passively through search engine integrations, spelling assistants, or customer service chatbots where they do not actively realize they are using generative models.
Claude Gains Ground with Professionals
While ChatGPT’s growth has leveled off, Anthropic’s Claude is telling a very different story. Claude has demonstrated remarkable momentum in the Datos data, securing four consecutive months of steady desktop growth from December through March.
Why is Claude climbing while ChatGPT plateaus? The answer lies in the platform’s distinct audience profile. Claude has quietly positioned itself as the preferred tool for high-level professional, technical, and B2B workflows. Its larger context window, superior capability with long-form writing, and highly logical reasoning style make it exceptionally valuable for complex professional tasks.
To test the theory that Claude is winning the professional market while consumers turn away, Fishkin used SparkToro’s audience intelligence platform to run a comparative analysis. He looked at a dedicated B2B professional audience and contrasted it with a general consumer audience focused on retail shopping behavior.
The results confirmed a massive audience divergence:
- The business-oriented audience demonstrated significantly higher overall usage of all primary AI tools compared to the average population.
- Claude, in particular, overindexed massively among B2B professionals, showing a staggering 373% lift compared to the average U.S. population.
This data supports the idea that professionals are not just playing with AI; they are adopting it as a critical utility for knowledge work. While the general public’s interest in stand-alone AI platforms is waning, the professional sector’s reliance on high-quality LLMs like Claude is intensifying.
The Consumer Disconnect: Retail Audiences and Everyday Tech
To understand how the broader public interacts with AI, Fishkin analyzed a retail-shopping consumer cohort. If artificial intelligence tools were truly becoming integrated into the fabric of everyday consumer life, we would expect to see solid adoption rates within this massive demographic. Instead, the SparkToro and Datos research revealed a stark disconnect.
The consumer retail group displayed a clear lack of interest in dedicated AI tools:
- This retail-shopping audience was 15% less likely to use ChatGPT than the average American.
- Claude, which is highly popular among business professionals, failed to even rank among the top four AI tools used by this consumer group.
For everyday consumers, the direct utility of visiting an AI website, entering a complex text prompt, and editing the output is low. The average consumer wants quick answers to specific questions, immediate entertainment, or a seamless shopping experience. They do not want to become prompt engineers. This explains why stand-alone desktop AI tools struggle to maintain consumer momentum once the initial curiosity fades.
Why the Data Points to a “LinkedIn Bubble”
This research goes a long way toward explaining why the digital world feels so intensely divided right now. If you spend your working hours in professional circles—particularly on networks like LinkedIn—you are constantly blasted with claims that AI is transforming every industry at lightning speed. Because B2B professionals are indeed adopting these tools at record rates, the sheer volume of professional conversation surrounding AI is incredibly loud.
However, when you step outside of this professional echo chamber, the reality looks very different. The vast majority of consumers are not navigating to AI chat interfaces in their free time. They are searching for products on Google, watching videos on YouTube or TikTok, and interacting with standard web applications. This is why AI adoption appears significantly larger than it actually is: the loudest, most active online demographics are the ones using it, while the silent majority of consumers remain largely passive observers.
Strategic Implications for Marketers and SEOs
For digital marketers, SEO specialists, and business leaders, this data offers a critical reality check. There is no one-size-fits-all AI strategy. You cannot build a successful marketing or product plan based on generalized headlines about “AI taking over the world.” Instead, you must carefully analyze whether your specific target audience is actually using these tools—and more importantly, how they are using them.
B2B and Professional Marketing Strategies
If your target audience consists of B2B buyers, enterprise decision-makers, software developers, or creative professionals, your strategy must reflect their heavy reliance on AI:
- Optimize for LLMs (Generative Engine Optimization): Because professionals are actively using Claude, ChatGPT, and Gemini to research solutions and synthesize information, you must ensure your brand is highly visible to these models. This means publishing high-quality, authoritative content that AI crawlers can easily ingest and reference.
- Focus on Proprietary Data and Deep Insights: Since professionals use AI to summarize superficial web content, shallow blog posts are losing their value. To stand out, you must produce original research, proprietary data, and deeply analytical case studies that AI cannot easily replicate but will frequently cite.
B2C and Consumer Marketing Strategies
If you are marketing to everyday consumers, retail shoppers, or local service seekers, your strategy should remain grounded in traditional, high-performing digital channels:
- Double Down on Traditional Search and Social: Since casual consumers are highly unlikely to use stand-alone AI portals for discovery, traditional Search Engine Optimization (SEO), Local SEO, and social media platforms (like Instagram, TikTok, and YouTube) remain the absolute kings of consumer discovery.
- Prioritize Brand Trust and Authenticity: Consumers are becoming increasingly wary of generic, AI-generated content. Building a strong, authentic brand identity with genuine customer reviews and human-centric messaging will set you apart in a sea of automated digital noise.
Analyzing the Original Research
To get a deeper, more visual look at how these data points were compiled and analyzed, you can explore the original research directly:
- To watch the full video analysis and breakdown of the Datos and SparkToro findings, watch Fishkin’s LinkedIn video here.
- To view the interactive post and participate in the professional discussion, you can view the embedded content here.
Final Thoughts
The takeaway from this latest behavioral data is clear: AI is not a monolith. The narrative of universal, unstoppable consumer adoption is an illusion created by highly active professional networks. While platforms like Claude are seeing incredible, sustained growth among B2B professionals who have integrated them into their daily workflows, general consumer desktop adoption of platforms like ChatGPT has hit a distinct plateau.
For businesses looking to navigate this landscape successfully, the key is audience alignment. Stop chasing broad, hyped-up trends and start analyzing the real-world behaviors of your specific customers. Only then can you build a digital marketing strategy that actually connects with where your audience is spending their time and attention.