AI Adoption Looks Massive on LinkedIn. New SparkToro and Datos Data Says Consumers Are Quietly Tapping Out.
New analysis from Datos and SparkToro shows AI use is splitting into two markets. Professional adoption is surging. Consumer adoption is stalling. AI tools sit below 2% of desktop visits and the combined sector has not posted 1.1x monthly growth since September 2024.
Broader consumer adoption may be slowing, while professional and B2B audiences appear far more likely to use tools like Claude, ChatGPT and Gemini.
AI use looks like it is taking over the internet if you spend your days on LinkedIn. New analysis from Datos and SparkToro, published this week, suggests the truth is messier. Professional adoption is surging. Consumer adoption is stalling. The two groups are diverging fast, and the combined market has not posted 1.1x monthly growth since September 2024.
The headline numbers are sobering for anyone planning campaigns around AI-first behaviour. AI tools account for less than 2% of desktop visits across the dataset. Claude usage overindexed by 373% among B2B professionals. ChatGPT, the supposed mass-market AI, is 15% less likely to be used by retail-shopping consumers than by the average American.
That divergence is doing a lot of work in how marketers should plan the next twelve months. The audience that talks loudest about AI is the smallest audience that buys consumer products. The audience that buys most consumer products is the audience least likely to be using AI in their decision journey.
The data does not mean AI is irrelevant. It means the AI-first marketing strategies sold to brands at every conference for the last twelve months were calibrated to professional adoption curves, not consumer ones.
Why it matters
Australian brands have been told repeatedly that AI search is replacing Google. The data here suggests that the replacement is happening fast among B2B audiences and slowly among consumers. A SaaS company should be optimising for ChatGPT and Claude citations today. A grocery brand should still be optimising for Google traffic for at least another two years.
The practical risk is budget misallocation. CMOs who hear "AI is eating search" and pull from organic content investment without checking which audience is actually doing the eating will end up cutting demand-generation capacity at exactly the wrong moment.
The second risk is a measurement one. AI Overviews are eating click-through rates on consumer queries, but consumers are not yet leaving Google for ChatGPT. That gap is invisible in click data and very visible in revenue if you stop investing in classic SEO.
Share of desktop visits going to AI tools combined, despite the dominant narrative that AI search is replacing Google
What to do about it
Segment your audience by AI adoption. B2B professional audiences should have a Claude and ChatGPT visibility strategy this quarter. Consumer audiences should still treat Google as the dominant surface.
Add AI visibility tracking to your SEO stack. Microsoft Clarity now tracks AI citations. Use it. Build a baseline before you make budget decisions.
Stop quoting LinkedIn AI adoption numbers in your board reports. They are not your customer base unless you sell B2B software.
Test the AI Overview drag on your highest-volume queries. The traffic loss is real but uneven. Quantify it before you act.
Keep investing in classic content quality. Both audiences will reward it. AI search ranks original content for the same reasons Google does.
The AI hype cycle is not over. The data just clarified who is actually inside it. Use that clarity to build a plan that fits your customers, not the conference circuit.