AI at Work 2026: You’re Not Behind Because of AI (You’re Behind Because of This) (#137)
In this episode of Your Transformation Station, Gregory Favazza, M.S. breaks down AI leadership, human behavior, and decision-making patterns behind why AI adoption is stalling while a small group of power users pulls ahead.
Topics include:
AI leadership
human behavior patterns
decision-making psychology
organizational leadership
AI adoption in the workplace
workforce trends 2026
If you think AI is the problem, you’re missing what’s actually happening. This episode shows you why adoption is slowing, who’s accelerating, and what’s really holding people back.
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Your Transformation Station with Greg Favazza | Episode 137
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AI Leadership Blind Spots
Leadership and AI isn’t sweeping across the workforce the way the hype promised — but something far more important is happening beneath the surface. Gallup’s newest national Workforce Study reveals a surprising shift: AI adoption has stalled, but AI mastery is accelerating. A small group of power users is pulling ahead while the rest of the workforce stands still.
Listen to the episode on Apple Podcasts, Spotify, Overcast,
Stitcher, Castbox, Google Podcasts, or on your favorite podcast platform.
You can find the transcript of this episode here.
Gregory Favazza breaks down the latest Gallup data to uncover:
AI Driven Leadership
You’ll learn:
Why nearly half of U.S. workers still never use AI
Why daily and frequent AI use continues to rise
How leaders use AI 2× more than their teams
Why remote‑capable roles are adopting AI at double the rate of on‑site workers
Which industries are accelerating — and which are falling behind
What employees actually use AI for (hint: it’s not coding)
The #1 barrier stopping organizations from wider adoption
What these trends mean for the future of work, leadership, and digital capability
Gregory also explains how Gallup collects this data, why it’s considered the gold standard for workforce insights, and what these trends reveal about the future of work, leadership behavior, and AI.
If you want to understand the real state of AI in the workplace — beyond the hype — this episode gives you the clarity and data you need.
Timestamps
- Introduction to Gallup's Data: Gregory introduces Gallup as a trusted source for workforce studies (0:30-2:00).
- Methodology Explained: How Gallup conducts probability-based surveys (2:03-3:20).
- Defining AI in the Workplace: Examples include chatbots, writing tools, and automation (3:20-5:34).
- The AI Adoption Paradox: While 49% of workers never use AI, daily use has increased from 10% to 12% (5:34-7:53).
- Organizational Adoption: 41% of organizations have not integrated AI, with a significant divide in knowledge between leaders and employees (7:53-9:22).
- Industry Differences: Technology leads adoption (77%), while retail lags behind (33%) (13:45-15:19).
- Remote vs. On-site Divide: Remote-capable workers use AI at double the rate of on-site workers (15:19-16:27).
Episode Sources & Links
THE AI ADOPTION PARADOX: WHY 2026 ISN'T WHAT WE EXPECTED
Gallup (2025). AI in the Workplace: 2025 Workforce Trends. Gallup Workforce Study, Q4 2025. Gallup, Inc.
The AI Adoption Paradox: Why 2026 Isn’t What We Expected
This blog post aims to expand on those core findings from the Gallup study, exploring why AI adoption has plateaued for many, what's really happening with those who are embracing it, and what this paradox means for the future of how we work.
What This Analysis Explores
In the full blog analysis linked below, Gregory explores:
• Why AI adoption across organizations has grown faster than real operational integration
• Why many AI pilots fail to produce measurable business value despite massive investment
• The hidden organizational barriers slowing AI adoption in modern workplaces
• Why leadership, trust, and workflow redesign matter more than the technology itself
👉 Read the full analysis:
The AI Adoption Paradox: Why 2026 Isn’t What We Expected
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Topics Covered in This Episode
AI at work 2026, AI adoption paradox, artificial intelligence in leadership, future of work and AI, AI productivity gap, generative AI in organizations, leadership decision making and AI, human AI collaboration, AI strategy for leaders, AI capability gap, digital transformation leadership, organizational psychology and AI, workplace technology adoption, AI productivity research, AI leadership challenges
Gregory Favazza
Ladies and gentlemen, welcome back to Your Transformation Station, the show where we cut through the noise and get to the behavioral truth behind how people work, lead, and transform.
I am your host, your one and only Gregory Favazza.
If you haven’t subscribed to the show yet, hit that subscribe button.
Today we’re diving into Gallup’s latest national data on AI use at work.
This isn’t speculation. This isn’t hype. This is what’s actually happening inside American organizations.
00:30 — Why Gallup’s Data Matters
Gregory Favazza
When I reference Gallup, I’m talking about one of the most respected research organizations in the world.
Gallup is a nonpartisan analytics and advisory firm that has been measuring public opinion and workplace trends for decades. They’re known for rigorous methodology, large sample sizes, and probability-based surveys that reflect the actual U.S. population — not just whoever happens to respond online.
The workforce studies used in this episode are built from nationally representative samples of full-time and part-time U.S. employees.
Gallup recruits participants through random sampling, not volunteers, and then weighs results to match national demographics.
In other words, when I cite Gallup’s numbers, I’m referencing some of the most scientifically grounded workplace data available right now.
02:03 — How Gallup Structures Workforce Studies
Gregory Favazza
Before we get into the numbers, it’s helpful to understand how Gallup structures its reporting.
You’ll hear me reference things like Q3 and Q4.
Gallup releases workforce studies quarterly — every three months.
Q1: January through March
Q2: April through June
Q3: July through September
Q4: October through December
These surveys include tens of thousands of U.S. workers and use probability-based sampling with demographic weighting to reflect the real workforce.
So the numbers you’re about to hear aren’t guesses.
They’re a national snapshot of how Americans are actually using AI at work.
03:20 — What Counts as AI in the Workplace
Gregory Favazza
When we talk about AI in the workplace, we’re not talking about robots or science-fiction machines.
We’re talking about everyday tools people already use — often without realizing they’re powered by artificial intelligence.
Examples include:
Chatbots and virtual assistants like ChatGPT or Copilot
Writing and editing tools that draft emails or summarize documents
Meeting assistants that record conversations and generate transcripts
Coding assistants that help write or debug software
Analytics tools that identify patterns in large datasets
Task management systems that prioritize workflows
Research tools that summarize information
Image, video, and audio generation tools
Automation software that processes repetitive tasks
These are the types of tools Gallup measures when discussing AI use in the workplace.
They aren’t futuristic.
They’re tools people already use to think faster, write faster, and solve problems faster.
05:34 — The AI Adoption Paradox
Gregory Favazza
Gallup’s newest data reveals a fascinating split.
On one hand, overall AI adoption has stalled.
Nearly 49% of U.S. workers say they never use AI in their role.
But frequent use is rising.
Daily AI use increased from 10% to 12%.
Frequent use — meaning daily or several times per week — climbed to 26%.
This pattern has remained consistent throughout 2025.
So what does that mean?
It means the AI-curious aren’t joining.
But the AI-committed are leveling up.
We’re watching the rise of AI power users — a small but rapidly advancing segment of the workforce pulling ahead of everyone else.
07:53 — Organizational Adoption and Communication Gaps
Gregory Favazza
Let’s talk about organizations.
In Q4, 38% of employees said their organization has integrated AI tools.
41% said no.
And 21% said they don’t know.
That “don’t know” number tells us something important about communication.
Individual contributors are the most uncertain.
About 26% say they don’t know whether their organization uses AI at all.
Among leaders, only 7% say the same.
This gap isn’t about technology.
It’s about visibility, communication, and proximity to decision-making.
Organizations may be integrating AI — but they aren’t explaining it.
They aren’t training employees.
And they aren’t creating clarity.
And when people don’t understand the value of adoption, adoption slows down.
13:45 — Industry Differences
Gregory Favazza
AI adoption varies dramatically by industry.
Technology leads the way with 77% AI usage.
Finance follows at 64%.
Professional services are around 60%.
Higher education is 63%.
K-12 education sits around 56%.
Government and public policy are 42%.
Healthcare and manufacturing both sit around 41%.
Retail trails behind at 33%.
Growth patterns reveal an even sharper divide.
Finance has grown by six percentage points.
Professional services by five points.
Manufacturing by three points.
Retail hasn’t moved at all.
Knowledge-based industries are accelerating.
Production and service industries are lagging.
This may be the beginning of a new AI economic divide.
15:19 — Remote vs On-Site Work
Gregory Favazza
One of the clearest divides in the data appears between remote-capable roles and on-site jobs.
Since 2023:
Remote-capable roles increased total AI use from 28% to 66%.
Frequent use increased from 13% to 40%.
Daily use increased from 8% to 19%.
For roles that are not remote-capable:
Total AI use increased from 15% to 32%.
Frequent use increased from 8% to 17%.
Daily use increased from 3% to 7%.
Remote-capable workers are using AI at roughly double the rate of on-site workers.
Why?
Because AI thrives in digital workflows.
And digital workflows thrive in remote environments.
Gregory Favazza: Veteran, Host, Leadership Expert
Gregory Favazza is the host of Your Transformation Station, a podcast focused on clarity, discipline, and the psychological mechanics behind real change.
He holds a Master’s degree in Industrial Organizational Psychology and a Bachelor’s degree in Organizational Leadership. His academic training is paired with lived experience as a military veteran who has operated inside high pressure systems where performance, morale, and accountability are not theoretical concepts. They are survival skills.
Gregory approaches transformation clinically rather than motivationally. His conversations cut through surface level advice and expose the systems beneath behavior. Power dynamics. Incentives. Identity. Emotional regulation. Accountability. He challenges guests and listeners to stop reacting, start reading situations accurately, and lead themselves with precision.
His style is direct, controlled, and intentionally uncomfortable for anyone addicted to excuses or performance based confidence. Your Transformation Station attracts leaders, creators, and thinkers who value depth over hype and self control over noise. People who understand that change is not inspirational. It is operational. #podcasts #yourtransformationstation #leadership
