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Training Videos:

Human Judgement Still Matters
June 8, 2026
AI is a powerful tool - but when it comes to values, people and consequences, human judgement still matters.
AI Tokens and The Economics of AI
June 5, 2026
AI Tokens and The Economics of AI how AI pricing actually works and how small businesses can get the most value from it
AI Vocabulary
May 27, 2026
AI Vocabulary brought to you by the BBB of Southern Colorado
AI as a Productive Multiplier
May 27, 2026
AI as a Productive Multiplier brought to you by the BBB of Southern Colorado
Ethics, governance and guardrails in AI
May 11, 2026
Ethics, governance and guardrails in AI
Welcome to the BBB AI Hub Video Presentation
May 1, 2026
Welcome to the BBB of Sothern Colorado AI Hub Video Presentation

Podcasts: 

The AI Economy: Why The Person Next To You Will Take Your Job

Step Into Your Superpower in the AI Era | Jonathan Liebert: AI Super User

Jonathan Liebert, CEO, International Association of Better Business Bureaus (IABBB)

How can businesses build trust in the age of AI? Jonathan Liebert, CEO of the International Association of Better Business Bureaus (IABBB), shares his vision for evolving the 113-year-old Better Business Bureau into the leading authority on AI literacy, governance, and marketplace trust. Drawing on his experience developing the BBB AI Hub and authoring Thought Partner, Jonathan explains why organizations that embrace responsible AI, educate their people, and lead with ethics will earn the confidence of customers and gain a lasting competitive advantage.

The interview was recorded on July 17th, 2026


Jonathan Liebert, CEO, International Association of Better Business Bureaus (IABBB)

resources:

2026 Global AI Jobs Barometer
August 14, 2026
PwC’s 2026 Global AI Jobs Barometer goes beyond the question of whether AI will “take jobs.” It explores how AI is changing the structure of work itself and what those changes could mean for employers, employees and people just entering the workforce.
June 9, 2026
Teaching for Tomorrow: Closing the expectations gap What happens when teachers are asked to do the impossible? New research from the Walton Family Foundation and Gallup examines how teachers experience their job demands. The Teaching for Tomorrow study reveals just how much unrealistic expectations and lack of role clarity impact key outcomes like job satisfaction and intention to remain in the classroom. While the research finds that many teachers face unrealistic or unclear expectations, it also confirms that with improved job expectations, teachers thrive.
City skyline at dusk with tall buildings under a pink and blue cloudy sky
May 11, 2026
Learn how to build trust in AI through responsible practices. Join our programs for hands-on training & certification.
Green sustainability collage with people, crops, cityscape, and Earth icon in circular design
April 21, 2026
Explore AI's impact on workplaces & employee engagement. Join us for training & workshops to enhance your skills.
Cover titled “The State of AI in Nonprofits” with subtitle “Benchmark Report on Adoption, Impact, and Trends, 2025” on b
April 21, 2026
Explore AI adoption trends in nonprofits. Join us for insights & training to enhance your organization's impact.
Green sustainability collage with people, city buildings, wind turbines, and recycling symbol
April 21, 2026
Enhance your AI skills with structured learning & workshops. Join us to build confidence in AI education for all in Southern Colorado.
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Anthropic

Labor market impacts of AI: A new measure and early evidence

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Gallup

Labor market impacts of AI: A new measure and early evidence

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Grammarly

How an AI-Literate Workforce Is the New Competitive Advantage

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OpenAI

Industrial Policy for the Intelligence Age: Ideas to Keep People First

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LightCast

Is AI the next industrial revolution or a bubble that’s about to burst

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Gallup

Understanding Employees, Informing Leaders

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Techsoup

The State of AI in Nonprofits: Benchmark Report on Adoption, Impact, and Trends

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Gallup

State of the Global Workplace: The Human Side of the AI Revolution

What We Are watching & Listening To:

June 5, 2026
One of the best places to begin your AI journey — or refresh what you already know — is the Everyday AI podcast’s Start Here Series . This resource does a great job breaking down the basics of artificial intelligence in a way that is clear, practical, and easy to understand. Whether you are just getting started, trying to fill in the gaps, or looking for a simple way to stay current with how AI is changing work and business, this series is a helpful guide. It takes complex ideas and makes them accessible, giving listeners a strong foundation for understanding how AI tools can be used thoughtfully and effectively.  For small business owners, nonprofit leaders, and professionals who want to better understand AI without getting overwhelmed, this is a great place to start!

ai advantage articles

Black outline PDF document icon on a white background

Anthropic

Labor market impacts of AI: A new measure and early evidence

Black PDF document icon with a folded corner and bold “PDF” label

Gallup

Labor market impacts of AI: A new measure and early evidence

Black PDF document icon on a white background

Grammarly

How an AI-Literate Workforce Is the New Competitive Advantage

Black outlined PDF document icon with folded corner and “PDF” label

OpenAI

Industrial Policy for the Intelligence Age: Ideas to Keep People First

PDF document icon in black outline on a white background

LightCast

Is AI the next industrial revolution or a bubble that’s about to burst

Black PDF document icon with a folded corner and bold “PDF” text

Gallup

Understanding Employees, Informing Leaders

Black-outlined PDF document icon on white background

Techsoup

The State of AI in Nonprofits: Benchmark Report on Adoption, Impact, and Trends

PDF file icon in black outline on a white background

Gallup

State of the Global Workplace: The Human Side of the AI Revolution

September 28, 2026
One of the most valuable things I’ve learned is that AI is only as useful as the knowledge we give it. Every small business has tribal knowledge. It lives in the heads of the people who have been there the longest—the person who knows which customer needs a different approach, why a certain process is done “that way,” how to solve a problem when the standard procedure doesn’t work, or simply has the intuition to know when something doesn’t look right. That knowledge is incredibly valuable. But it is also incredibly vulnerable.
September 14, 2026
Artificial intelligence may be the most transformative technology of our lifetime. I believe that. I also believe something else: transformative technology deserves transformative levels of responsibility.
leader building an AI adoption strategy for their organization
By Mike Regennitter • September 11, 2026
Everyone with a ChatGPT tab thinks they've adopted AI. A real AI adoption strategy means architecture, policy, and oversight, not a tool download.
By Jonathan Liebert • September 2, 2026
For most of modern history, every major technological disruption has come with the same reassurance: we have been here before. The Industrial Revolution displaced physical labor, but it also created factories, industries and entirely new categories of work. Computers eliminated some jobs while creating software developers, IT departments, digital marketers and an information economy. The internet disrupted everything from newspapers to retail, while simultaneously creating businesses and professions we could barely have imagined a generation earlier. So when concerns about artificial intelligence and jobs arise, it is tempting to reach for the same familiar conclusion: technology changes work, people adapt, new industries emerge and ultimately we create something new. But on August 26, 2026, Bill Gates published an essay on GatesNotes titled “The Turbulent AI Era Is Here. The Choices We Make Now Are Critical .” In it, Gates makes a much more provocative argument about the moment we are entering. He warns that AI is not simply another chapter in the long history of technological disruption and that society is not adequately preparing for the transition ahead. One section of his essay is titled with five words that immediately caught my attention: “This time really is different.” That idea is the starting point for this essay. What follows is not an attempt to predict the future with certainty, nor do I agree automatically with every policy solution Gates proposes. Rather, his essay raises a set of questions that I believe business leaders, policymakers, educators, workforce leaders and communities need to wrestle with now:
By Jonathan A. Liebert • August 19, 2026
Recently, I had the privilege of testifying before the U.S. Senate about artificial intelligence and its transformative impact on the modern workforce. It was an opportunity to discuss an issue that is quickly becoming one of the defining economic questions of our time: What is AI actually going to do to jobs? The conversation around artificial intelligence often gravitates toward extremes. On one side is the promise that AI will dramatically increase productivity and create entirely new industries. On the other is the fear that automation will eliminate millions of jobs. The reality emerging from the data is more complicated — and, in many ways, more interesting.  Through leading the BBB AI Hub and training thousands of business owners, nonprofit leaders and workers on the responsible use of artificial intelligence, I have come to believe that AI literacy is increasingly becoming the difference between leverage and liability. I have watched people use AI to organize complex information, improve communication, accelerate research, analyze data and turn ideas into action faster than ever before. I have also watched people enter sensitive customer information into public AI systems, accept fabricated citations as fact, rely on biased or incomplete outputs and purchase products labeled “AI-powered” without really understanding what the technology does. The opportunity is enormous. But so is the responsibility. And nowhere is that becoming more evident than in the workforce.
August 12, 2026
Someone on your team has probably figured out a good way to use AI. Maybe it helps compare requirements against a deliverable, organize closeout documents, prepare an action log, or summarize project reporting. The prompt works. The result is useful. The person who built it knows exactly what to provide, how to phrase the instructions, and what needs to be checked afterward. Then someone else tries to use it. That is usually when the team discovers that a good prompt is not yet a repeatable construction workflow. The second person uploads the wrong version of the specifications. The output comes back in a different format. A requirement is missed. Nobody knows whether the AI used the contract, the addendum, or the folder labeled: FINAL — USE THIS ONE The problem is not necessarily the AI. The process was never fully defined.

Local AI Training:

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Anthropic

Labor market impacts of AI: A new measure and early evidence

Black PDF document icon with a folded corner and bold “PDF” label

Gallup

Labor market impacts of AI: A new measure and early evidence

Black PDF document icon on a white background

Grammarly

How an AI-Literate Workforce Is the New Competitive Advantage

Black outlined PDF document icon with folded corner and “PDF” label

OpenAI

Industrial Policy for the Intelligence Age: Ideas to Keep People First

PDF document icon in black outline on a white background

LightCast

Is AI the next industrial revolution or a bubble that’s about to burst

Black PDF document icon with a folded corner and bold “PDF” text

Gallup

Understanding Employees, Informing Leaders

Black-outlined PDF document icon on white background

Techsoup

The State of AI in Nonprofits: Benchmark Report on Adoption, Impact, and Trends

PDF file icon in black outline on a white background

Gallup

State of the Global Workplace: The Human Side of the AI Revolution

Exponential Impact

FTG Financial Talent Group