In a recent LinkedIn post, Steven Bartlett shares his reactions to a research report from Anthropic, the artificial intelligence company behind the AI assistant Claude. The report, which analyzed millions of real-world conversations with Claude, offers a unique perspective on how AI is currently being utilized in professional environments, moving beyond theoretical applications.
Bartlett highlights the report’s findings that current AI adoption in the workplace is significantly lower than its potential. He points out the stark contrast between what AI could theoretically automate and what is actually happening.
“The chart shows something pretty staggering – we’re nowhere near AI’s potential to automate work.
Blue area = what AI could theoretically handle
Red area = what’s actually happening
We’re at maybe 5~ of where this technology could be deployed already.”
Understanding AI’s Limited Workplace Integration
Steven Bartlett emphasizes that the data suggests AI’s integration into daily work is still in its nascent stages. The report indicates that even in fields where AI could theoretically offer substantial automation, the actual usage remains low. For instance, Bartlett notes the report’s findings regarding specific professions:
- Computer programmers are only 75% “covered” by current usage.
- Customer service roles show about 70% coverage.
- Most other jobs have seen minimal impact.
According to Bartlett, this limited penetration means that AI’s transformative potential is largely untapped across the majority of the workforce.
The Demographic Profile of AI-Exposed Workers
A particularly striking insight from the Anthropic report, as shared by Bartlett, concerns the demographic characteristics of workers who are currently most exposed to AI. Contrary to potential assumptions that automation might disproportionately affect lower-wage positions, the data suggests otherwise.
As Steven Bartlett points out:
“The report suggests the highest “AI-exposed” workers aren’t minimum wage jobs – they’re disproportionately older, more educated, higher-paid, and female. They’re knowledge workers whose tasks involve writing and analysis.”
Furthermore, Bartlett relays that the hiring of younger workers, specifically those aged 22-25, into AI-exposed roles has seen a decline since the launch of ChatGPT. This is contrasted with a significant portion of the workforce—around 30%—having no exposure to AI at all. Bartlett speculates that roles requiring tangible, real-world skills, such as cooks, bartenders, mechanics, and construction workers, may be the most resistant to automation.
AI as a Catalyst for Human Potential
Steven Bartlett offers a personal interpretation of these findings, one that centers on AI potentially enhancing human capabilities rather than simply replacing them. He posits that as AI becomes more proficient at handling routine and analytical tasks, humans will be freed to focus on inherently human attributes.
The Value of Emotional Intelligence and Human Skills
Bartlett argues that the future for human workers lies not in competing with AI on its terms, but in cultivating skills that AI cannot replicate. He elaborates on this perspective:
“I believe that the humans who thrive won’t compete with AI at routine tasks – they’ll focus on what becomes more valuable as intelligence gets commoditised… things like emotional intelligence, working alongside AI / managing AI agents and real world skills…”
In Bartlett’s view, advanced AI’s ability to understand nuanced human communication, including emotions and complex thought processes, allows individuals to be more authentically themselves in their work. This, he suggests, is a paradigm shift from previous technologies that often required humans to adapt their methods to suit the technology.
A Future Where Humans Can Be More Human
The core of Steven Bartlett’s reflection revolves around the idea that highly capable AI could paradoxically lead to a more human-centric future. He envisions a scenario where AI’s sophistication liberates people from the need to perform artificial or overly structured tasks.
According to Bartlett:
“What’s remarkable about truly intelligent AI is that it’s so capable that it no longer needs us to be anything other than what we are… We don’t need to learn to code in its language – it’s learned ours! We don’t need to structure our thoughts like databases – it can understand our tangents, our contradictions, our entirely human messy way of thinking in stories and emotions and half-formed ideas!”
This perspective suggests that instead of a future of humans merging with machines, we might see machines becoming so advanced that they enable humans to fully embrace their own humanity, focusing on relationships, creativity, and genuine connection.
📝 About This Content
This article is based on insights shared by Steven Bartlett on LinkedIn.
📅 Originally posted on March 6, 2026 | View original post on LinkedIn →