In a stunning finding, a Gallup poll reveals that only 8% of U.S. workers use AI on a daily basis.
This in the face of other, markedly different study findings that indicate interest in AI is skyrocketing — including a DemandSage report finding that ChatGPT alone enjoyed 4.5 billion visits in March 2025.
Even more perplexing: Widespread AI adoption at the workplace is currently most prevalent in jobs that are heavily dependent on creativity and in-depth analysis, such as marketing, financial and similar reporting, law and IT.
That could mean that after accounting for the heavy use of AI in all those creativity/analysis heavy jobs, as little as 2% of rank-and-file white collar workers are actually using AI on the job every day.
The bottom line: Apparently, U.S. business still has not picked-up on the message that using AI for something as simple as email alone is a no-brainer.
The reason: White collar workers who need to deal with intermediate-to-heavy email traffic every day can easily save an hour a day processing email simply by becoming AI experts in the use of AI for writing.
Moreover, offering AI access to each one of those workers is cheap.
Currently, a subscription to a bleeding edge AI writer/assistant like ChatGPT — or similar — is $20/month.
So the first day a $20/hour white collar worker – trained in the use of ChatGPT just for email – uses ChatGPT to save an hour when dealing with email, an employer breaks even.
Essentially: The employer pays an extra $20-an-hour to get those emails completed on the first day.
But the employer also reaps an extra $20 of productivity from the employee on that first day, given that the employee was able to save an hour that day using AI to help process those emails.
So the total cost of adding ChatGPT to the budget is zero dollars on the first day.
As you might imagine, the picture gets much rosier on subsequent days.
Assuming that the average work month has 20 days, ChatGPT use – just for email – for 19 of those days gives the employer 19 more hours of productivity from the $20/hour employee – or an additional $380 of productivity-a-month from that employee.
Even better: If the employer has 100 employees, all making $20/hour, the additional productivity that employer reaps from each employee each month is $380 x 100 – or $38,000 of additional productivity-per-month from the workforce.
And that’s not even counting the additional productivity
better paid employees – who make $30, $40,
$50, $60-or-more per hour – will add to monthly productivity by saving an hour-a-day by processing their emails with ChatGPT or a similar AI writer/assistant.
It’s also not factoring-in that once trained, every employee using ChatGPT for email can communicate at the level of a world-class writer – an achievement that even four years ago would have been unimaginable.
So again, why are U.S. businesses hemming-and-hawing over whether or not to train workers to use AI to process their emails?
As Robert Plant once said, “It makes me wonder.”
In other AI news and analysis on AI writing:
*ChatGPT Search Ginned-up: Users of ChatGPT Search should find that the responses they get will be more intelligent, reflect a better understanding of what’s being asked – and offer more, in-depth analysis, according to writer Roger Montti.
ChatGPT’s maker is also promising that ChatGPT Search is now able to handle longer conversational contexts, follow instructions better and run multiple searches automatically.
*ChatGPT Projects Gets an Upgrade: ChatGPT’s maker has fine-tuned its ‘Projects’ feature, which enables users to create a specific topic folder to store all related chats, files and similar content.
Some of the new key features offered in Projects:
–ChatGPT’s Deep Research can be used when working in Projects
–Voice Mode can now be used to work with Projects
–ChatGPT Memory can also be used now to work in Projects
*ChatGPT-Competitor Offers In-Depth Look Into Its AI Research Agent: Writers weighing which AI deep research they want to use will appreciate a new deep dive into how the Claude Research agent works.
Observes writer Matthias Bastian: “The system relies on a lead agent that analyzes user prompts, devises a strategy, and then launches several specialized sub-agents to search for information in parallel.
“Additionally, Anthropic claims that, in specific scenarios, Claude 4 can recognize its own mistakes and revise tool descriptions to improve performance over time. In essence, it acts as its own prompt engineer.”
*Anthropic Rolls-Out Free AI Training Course: Writers looking for a quick study on AI may want to check-out a new, in-depth course on the tech from Anthropic – maker of the Claude AI writer/assistant.
Observes writer Grant Harvey: “Developed with academics Rick Dakan and Joseph Feller, the 12-lesson, 3-4 hour course is less a “how-to” guide and more a foundational framework for a new kind of work.
“It argues that true fluency isn’t about memorizing tricks that will be obsolete with the next model update, but about developing a lasting, principled approach to human-AI partnership.”
*Salesforce Releases Complete Guide to AI Agents: Writers looking to stay current on AI agents will want to check-out this free, comprehensive guide from Salesforce.
Theoretically, an AI agent can be programmed to research an article, outline the article, find quotes online for the article, write the article – and continually update the article in perpetuity.
Essentially: AI agents are considered the next wave of the tech and should be monitored closely as they evolve.
*Some AI Agents Not Ready for Prime Time?: A new study from Salesforce finds that many AI agents – the next wave of AI that can work independently on a mission requiring multiple tasks and decisions – are coming up short.
Nine AI agents tested in the study for their performance on multi-step tasks only achieved a score of 35%, according to writer Craig Hale.
Moreover, even Gemini 2.5 Pro – that flagship AI writer/assistant from Google – only achieved a score of 55%.
*‘AI Barbie’ on the Way?: ChatGPT-maker OpenAI and Mattel have teamed-up to create a new line of toys imbued with AI.
While there are no explicit promises yet for an AI Barbie, it’s hard to imagine Mattel taking a pass on adding AI to the Barbie Empire.
Observes Josh Silverman, chief franchise officer, Mattel: “Our work with OpenAI will enable us to leverage new technologies to solidify our leadership in innovation and re-imagine new forms of play.”
*Harvard’s Gift to AI: Access to Nearly 1 Million Books: AI researchers hungry for new data to train their systems on got a major gift from Harvard: Access to much of the university’s literature collection.
Observes writer Matt O’Brien: “Nearly one million books published as early as the 15th century — and in 254 languages — are part of a Harvard University collection,” that was released.
“Cracking open the vaults to centuries-old tomes could be a data bonanza for tech companies battling lawsuits from living novelists, visual artists and others whose creative works have been scooped up without their consent to train AI chatbots.”
*AI BIG PICTURE: Gartner: AI Will Handle Half of All Business Decisions by 2027: In less than two years, expect businesses to be using AI at least half the time to make decisions, according to IT consultancy Gartner.
Even more eye-opening: Gartner also predicts that 10% of executive boards will be using AI to make substantial business decisions impacting the entire enterprise.
Observes writer Webb Wright: “Reading Gartner’s new report, one gets the sense that AI agents, which most people had never heard of just a year or two ago, are suddenly one of the technological cornerstones of the private sector.”
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–Joe Dysart is editor of RobotWritersAI.com and a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.
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