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Home Themes AI

These AI Power Users Are Impressing Bosses and Leaving Co-Workers in the Dust

by Team Lumida
November 6, 2025
in AI
Reading Time: 6 mins read
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China’s AI Startups Challenge Global Leaders Amid U.S. Trade Curbs

"Artificial Intelligence 2017 San Francisco" by O'Reilly Conferences is licensed under CC BY-NC 2.0

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Key Takeaways

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  • AI power users are outperforming peers by mastering practical applications of tools like ChatGPT and Gemini.
  • Employers now openly acknowledge that AI proficiency can protect jobs amid automation risk.
  • Workers who integrate AI into workflows are earning recognition from leadership and becoming internal go-to experts.
  • The most effective users combine prompt engineering, feedback loops, and workflow automation.
  • Long-term relationships with AI tools improve personalization and productivity over time.

Rise of the AI Power User

Sarah Krieger, a public-relations representative in San Diego, became an “AI power user” after her workflow tips were featured in a trade publication. Her proactive adoption of AI tools caught leadership’s attention and turned her into the department’s resident expert.
This reflects a broader trend: across industries, employees are racing to prove AI mastery as companies make clear that those who leverage automation will replace those who don’t.

Power users aren’t engineers building models but professionals who integrate AI effectively into everyday work. They automate repetitive tasks, enhance communication, and deliver output faster—earning reputations as adaptable and forward-thinking.


Turning AI Into a Competitive Edge

Being labeled a power user isn’t just branding—it requires measurable skill.
Sal Abdulla, founder of NixSheets, discovered that true AI experts use tools as connective tissue between systems. They integrate ChatGPT with accounting apps like QuickBooks and Google Sheets to analyze quarterly data automatically.

Abdulla taught himself this process, showing that advanced AI integration no longer requires coding. He argues this gives ambitious professionals a rare advantage, as most of their peers lack technical initiative.


How Top Users Think and Work

AI power users focus on quality prompts and refinement.
Kevin Wei, a principal product manager and creator of the YouTube channel LiftoffPM, says that prompt iteration separates amateurs from experts. Rather than asking for generic outputs, users specify tone, audience, and structure—then provide targeted feedback.

“It takes practice to write prompts,” says Wei. “AI can do anything you want, but it only knows what you tell it.”
Power users approach AI like a coachable colleague—testing, revising, and improving through feedback loops until responses match intent.


Building Long-Term AI Relationships

Some users go further, cultivating ongoing “partnerships” with their AI assistants.
Aubrey Miller-Schmidt, an insurance marketing manager, frequently talks to ChatGPT during her commute. Over time, her AI assistant has learned her communication style and problem-solving preferences.

“I have all this history with my AI partner,” she says. “It knows how I tend to approach problems and where I get stuck.”
Experts recommend committing to one main AI assistant rather than constantly switching between tools, allowing it to build a robust context profile and deliver tailored insights.


Productivity Through Persistence

Mastery takes effort.
Michael Rueckert, marketing director for a Utah ski resort and hotel chain, uses Claude nightly to enhance marketing copy and manage his startup, Centium AI. He describes the payoff as transformative: “You’ve got to coach AI and build context. Once you put in the time, it feels magical.”

These late-night training sessions reflect a long-term investment mindset—similar to compounding returns. The earlier and more consistently professionals train AI, the greater the productivity and strategic advantage they gain later.


Cultural Shift in the Workplace

The rise of AI power users mirrors a cultural shift where technological literacy now defines professional value.
Employers increasingly reward adaptability, not just effort. Employees who learn how to delegate cognitive labor to machines are reshaping productivity norms, creating a new divide between those who direct AI and those directed by it.

For individuals, the message is clear: learn AI deeply or risk falling behind. Like early adopters of email or Excel, today’s AI power users are positioning themselves as indispensable in the next phase of digital work.

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