These AI Power Users Are Impressing Bosses And Leaving Co-Workers In The Dust

Rank-and-file employees are jockeying to become leading adopters of artificial intelligence. These AI Power Users Are Impressing Bosses And Leaving Co-Workers In The Dust

Sarah Krieger recently got the shiniest gold star at work.

Ultimate Resource On Artificial Intelligence

One of her tips for using artificial intelligence was featured in a trade publication, which caught the attention of a vice president at her company.

The VP proclaimed on LinkedIn that Krieger is an “AI power user.”

Right now there is no higher, or more reassuring, praise than this.

America’s bosses are getting blunt about the reality that AI leads to job cuts. The standard warning goes something like this: If a bot doesn’t replace you, a human who makes better use of AI will.

Cue the race to be seen as a power user, which signifies being one of the humans getting the most out of new technology.

These are the people cranking up productivity, impressing managers and making the rest of us look like slackers. The good news is we can join them.

They aren’t the Ph.D.s who build machine-learning models and command multimillion-dollar pay packages. They are regular workers who have become uncommonly savvy with existing AI tools, often through trial and error.

They get more done, faster, and—this is critical—cultivate reputations for being ahead of the curve.

Krieger, a 27-year-old public-relations representative in San Diego, knows that early-career professionals are among the most vulnerable to automation. She demonstrates her value by sharing AI advice with colleagues.

“I liken it to the way CEOs develop their thought leadership on a topic,” she says. “You’re solidifying yourself as the go-to person for the team on AI.”

Be The Real Deal

Achieving this status involves personal branding, but you better have the skills to back it up.

Sal Abdulla, founder of accounting-software startup NixSheets, discovered many self-styled power users are overhyped when he posted on social media that he wanted to meet some.

He says the ones who impressed him knew how to turn an AI tool into a “brain” connecting several other applications.

For example, they might use ChatGPT to automatically import quarterly financial data from Google Sheets into Intuit’s QuickBooks software, then analyze the results against a database of previous earnings reports.

With practice, Abdulla, 38, learned how to do something similar.

“It’s very doable, even though I’m not a software engineer,” he says. “And the opportunistic side of me is realizing that your average accountant won’t be doing this.”

AI power users are always looking for an edge. Kevin Wei is a principal product manager at a software company and runs a YouTube channel called LiftoffPM where he shares tips for landing a job like his.

Though he is viewed as a tech authority by his more than 7,000 subscribers, he says he has learned a lot about AI from a friend who studies machine learning in a Ph.D. program.

One Big Lesson: “It takes practice to know how to write prompts,” says Wei, 29. “AI can do anything you want it to do, but it only knows as much as you tell it.”

A lot of bot-made material is generic, low-quality workslop. Power users get better results by refining their prompts, he says.

Instead of simply telling Gemini to compose a message and hoping it matches your vision, he suggests providing specific instructions like the target audience and writing style.

Then it’s time for feedback.

“Give AI reinforcement, like, ‘This was good, but make it shorter’ or ‘Give me three alternatives to choose from,’ ” Wei says.

No Instant Results

In the time it takes to come up with a detailed prompt and revise the output, you could write the darn message yourself. That’s often how it feels, anyway.

But AI power users are playing the long game.

Aubrey Miller-Schmidt, an insurance marketing manager in Maryland, has been using ChatGPT for a few years. Sometimes she converses with its voice assistant while driving her car.

“I’ll just work through whatever thought process I have going on in my brain,” she says.

Her goal isn’t necessarily an “aha” moment behind the wheel. These conversations help ChatGPT learn about Miller-Schmidt, 44, and respond to her prompts better.

“I have all of this history now with my AI partner,” she says. “It knows how I tend to approach problems and where I tend to get stuck.”

Power users agree it is often more effective to invest in training a primary AI assistant than to play around with many tools that never build big enough sample sizes to understand your preferences.

Jack of all bots, master of none, I guess.

Michael Rueckert’s go-to is Claude, and he stays up until midnight most days “editing, fixing, tinkering and enhancing.”

The late nights are partly because he juggles several jobs as the marketing director of a ski resort in Utah and a hotel chain, plus a one-man startup he launched this year.

His business, Centium AI, offers a version of search-engine optimization, helping clients show up in answers to the questions that people pose to AI.

Rueckert, 34, says the productivity boost he gets from Claude is a key to managing his triple duties, but his assistant requires nurturing.

“You’ve got to coach AI and build context to really get it to where you want it,” he says. “Once you put in the time, it feels incredibly magical.”

Hearing power users wax about their long-term relationships with AI assistants is a bit like listening to investors who say the best time to buy a hot stock was years ago.

On the upside, jumping in today puts you ahead of everyone who waits for tomorrow.

The Boss (i.e. Julie Sweet CEO Accenture) Has A Message: Use AI Or You’re Fired

At companies big and small, employees have feared being replaced by AI. The new threat: Being replaced by someone who knows AI.

Julie Sweet, the chief executive of consulting giant Accenture, recently delivered some tough news: Accenture is “exiting” employees who aren’t getting the hang of using AI at work.

The firm has trained about 70% of its roughly 779,000 employees in generative artificial-intelligence fundamentals, she told investors. But employees for whom “reskilling, based on our experience, is not a viable path” will be shown the door, Sweet said.

Rank-and-file employees across corporate America have grown worried over the past few years about being replaced by AI. Something else is happening now: AI is costing workers their jobs if their bosses believe they aren’t embracing the technology fast enough.

From professional-services firms to technology companies, employers are pushing their staffs to learn generative AI and integrate programs like ChatGPT, Gemini or customized company-specific tools into their work.

They’re sometimes using sticks rather than carrots. Anyone deemed untrainable or seen as dragging their feet risks being weeded out of hiring processes, marked down in performance reviews or laid off.

Companies are putting their workers on notice about their AI skills amid a wave of white-collar job cuts. Amazon.com announced layoffs last week that affected roughly 14,000 jobs, while Target recently shed 1,800 corporate roles.

International Business Machines has also disclosed thousands of cuts. Executives at Amazon and IBM have tied workforce cuts to the technology in statements this year.

Some companies are training people in how to use the tools—but leaving it up to them to figure out what to use them for. There are countless possibilities for how to deploy AI.

Some businesses have required training classes or set up help desks to coach employees on how to incorporate AI into their work. Others are putting the onus on staff to think creatively about how to make money or save time with the tech.

That can prompt exciting innovations—or it may come at the expense of getting work done. Or both.

At enterprise-software company IgniteTech, leaders required staff last year to devote 20% of their workweek to experimenting with AI. On one such “AI Monday,” staff brainstormed ways to speed up processes like automating responding to customer-service tickets.

Employees also had to share on Slack and X what they were learning about AI.

CEO Eric Vaughan said that employees self-assessed their AI usage and, afterward, the company used ChatGPT to rank the results. After a human review, IgniteTech cut the lowest-scoring performers.

“By their own admission, they’re in the basement,” he said. “So now they have to leave.”

It wasn’t easy: Vaughan recalls speaking with his wife over that time about the changes, feeling “terrible.” But he said he felt AI was an existential threat, and that if IgniteTech didn’t transform, the company would die. One tough exit was the chief product officer, who had been with the company for years.

He and others were model, productive employees historically but were resisting the AI mandate, said Vaughan, who also leads GFI Software and Khoros.

Greg Coyle, that executive, said he had bought into AI’s potential to improve IgniteTech’s products and add new capabilities. But he took issue with the nature of the widespread cuts, particularly because the technology is in such an early stage.

“Doing this rapid culling of your workforce, it’s very risky,” he said. “If your AI plan doesn’t work out the way you expected it to, it’s a huge risk for the business.”

After a round of cuts, Coyle said he pushed back against an AI mandate in late 2023 in an executive meeting. He said he felt the company wasn’t working strategically as it pushed out staff. A few months later, he said, he was fired.

AI, Coyle said, is “coming whether we like it or not. You either get on board or you get left behind.” But, he added, “I don’t believe that you take this brute force, across-the-board approach to AI in the business.”

Vaughan said the company has since hired AI specialists to replace the laid-off staff. Accenture has said that it expects to increase headcount this fiscal year.

At workforces large and small, plenty of workers are hesitant to adopt AI, fearful that widespread adoption will innovate them out of a job. They also doubt the technology can do the job as well as they can.

A recent Gallup survey found that more than 40% of U.S. workers who don’t use AI say the main reason is they don’t believe it can help their work. A smaller share, 11%, said their primary driver was that they did not want to change how they worked.

While AI adoption has grown in the past year, working Americans are about three times as likely to say they aren’t prepared at all for AI as opposed to “very prepared,” Gallup found.

Many employees, even when exposed to AI tools that companies spend a lot on, aren’t biting. When researchers at the Massachusetts Institute of Technology reviewed more than 300 AI initiatives, they found only 5% were achieving quantifiable value.

Employees flock to tools like ChatGPT and Microsoft’s Copilot for their ease of use, but don’t often adopt other software.

A big impediment, the researchers found, is that many of those tools aren’t yet programmed to learn from users’ past interactions.

That makes approaching a human colleague a better option for complex work. The best return on investment, the researchers found, has often been on back-office functions.

Prioritizing AI Adopters

Companies are finding other ways to push staff to integrate AI into their work.

At McKinsey, analytic problem solving is at the heart of what consultants do. When that skill is measured in future performance reviews, consultants will be evaluated on how they make decisions with AI.

Now, in assigning staff to some client projects, McKinsey gives priority to employees who are trained in AI, said Kate Smaje, a senior partner and global leader of technology and AI.

People in KPMG’s human-resources division are assessed on how well they collaborate with AI in their wider evaluations, the firm’s head of people said.

PwC is requiring AI training for its newest hires. It kicked off a nine-piece pilot curriculum for new-graduate associate hires in October, including lessons on “prompting with purpose,” designing workflows that include AI and instruction on how to use the tools responsibly.

And at a fall PwC all-partner meeting with thousands of attendees, working with the technology was part of the agenda.

The multimillion dollar investment in AI training “will absolutely pay off,” said Margaret Burke, the firm’s head of recruiting and learning and development.

At Concentrix, a customer-service outsourcing company with more than 400,000 staff, bosses recently realized low-performing developers weren’t using AI.

“You find out those people are refusing to adjust,” said Ryan Peterson, Concentrix’s chief product officer.

Concentrix hired Peterson from Amazon in 2024 with a mandate to find ways to incorporate AI across the company. Its attorneys now use AI to redline new versions of contracts.

The technology flags clauses that the company would never agree to in negotiations—like accepting unlimited liability, Peterson said. These efficiencies mean that Concentrix was able to redeploy 10 attorneys to higher-value negotiation work and litigation management.

Purchasing teams use the technology to compare requests for proposals, and marketing teams now use it to format and template emails, he said.

Concentrix’s CEO said in a June earnings call that he doesn’t foresee a “massive decrease” in employment, though he noted that declining head count is a possibility.

‘AI Will, Not Just Skill’

Multiverse, an education-tech company in London, states that its mission is to advance AI adoption. Each quarter, it awards an employee who has come up with the best uses for AI 10,000 pounds, or about $13,000.

Finalists this quarter include the creator of a paperwork automation system that cut a 30-minute task to five minutes and someone who made a sales aide that creates a customized briefing based on publicly available information.

Job applicants at Multiverse are asked in interviews how they use AI in their lives, and in one assignment, prospective hires write prompts to complete certain tasks, said Libby Dangoor, who oversees the company’s human resources and AI among other areas.

If applicants are skeptical of AI, it would be picked up in the application process, she said.

“We have to hire for AI will, not just skill,” she said.

LinkedIn job postings requiring AI literacy skills have expanded by 70% in the 12 months ended in July, according to the site.

Annie Hamburgen, 28, of Incline Village, Nev., left her marketing job in March to travel in South America. When she came back and began looking for new work this summer, prospective employers kept asking her about AI.

“I’ve been trying to demonstrate my openness to learning while making it clear that I’m not going to blindly type things in and accept whatever result comes out,” she said.

Hamburgen recently got hired for a role leading integrated marketing and starts on Monday. In conversations with her future boss, it’s been clear that she should be using AI to synthesize information. A common refrain: “Type it into Grok!”

Bitcoin Information & Resources (#GotBitcoin)

11 Most Famous Black Female Artists

Monty: Is Job-Hoarding Officially Over? AI: Yes

Why Every Family Needs A Code Word

Do You Have What It Takes To Be A $100k A Year Executive Housekeeper?

Ultimate And Complete Guide On Herbs For Culinary And Medicinal Uses

North Korea Is Open. Who’s Going? Apparently Everyone!

Bill Wilson, LSD And The Secret Psychedelic History Of Alcoholics Anonymous

Why America Will Lose The Mercantilist Game

The “Debasement Trade” Is Forcing Investors To Buy Bitcoin And Gold!!

ICE Tracking Apps Are Booming And Digital Resistance Teams Are Ready To Help

From Coders To CEOs: Who’s Earning In/And Accepting (Coffee Shops To Airlines) Bitcoin In 2025