AI is reshaping every job from the C-Suite to the front line. It's happening at a pace unlike any change we’ve seen before.

But most leaders are uncomfortable leading this change. Despite all the talk about technology, AI-driven uncertainty is a deeply human topic. Sitting it out or waiting for someone else to solve the big questions of self-identity, value, and skills is not an option.

In this episode of "What’s the BUZZ?," host Andreas Welsch sits down with Alison McCauley, Author and Digital Change Strategist, to explore how leaders can navigate the uncertainty AI brings to the workplace.

Catch the BUZZ:

• Why will every role will change and how can leaders prepare?
• What's the critical role of expertise in the AI era?
• How can you equip your team with AI skills and big-picture thinking?
• When should you use AI as a thought partner?

Whether you’re a CEO, a mid-level manager, or just starting your career, this conversation offers actionable ways to lead with confidence when the future feels unclear.

Questions or suggestions? Send me a Text Message.

Support the show

***********
Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

More details:
https://www.intelligence-briefing.com
All episodes:
https://www.intelligence-briefing.com/podcast
Get a weekly thought-provoking post in your inbox:
https://www.intelligence-briefing.com/newsletter

Large corporations and startups are dominating the AI conversation. But how do non-profits adopt AI without compromising trust?

In this episode of "What’s the BUZZ?," host Andreas Welsch welcomes Scott Rosenkrans, VP of AI Innovation at DonorSearch, to the show to discuss how non-profits use AI to make a measurable impact.

Catch the BUZZ:
• Why does “just because you can” not always mean you should?
• How can predictive and generative AI work together to support human fundraisers?
• Why must donor relationships come before fundraising transactions?
• How does culture readiness in addition to tech readiness drive AI success?
• Which success metrics in fundraising go beyond total dollars raised?

If you’re a non-profit leader or change manager tasked with delivering results from AI, this conversation will help you set yourself up for success.

Questions or suggestions? Send me a Text Message.

Support the show

***********
Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

More details:
https://www.intelligence-briefing.com
All episodes:
https://www.intelligence-briefing.com/podcast
Get a weekly thought-provoking post in your inbox:
https://www.intelligence-briefing.com/newsletter

Chasing hype is easy. Delivering results with AI in the enterprise? That’s where leadership is tested.

In this week’s episode of "What’s the BUZZ?," I sat down with Jon Reed, industry analyst and co-founder of diginomica, to unpack some of the biggest myths that hold organizations back from real Agentic AI success.

Here are four myths that stood out:

1) Myth: It has to be Generative (or now, Agentic) AI
Predictive models, machine learning, and other “less flashy” approaches often deliver the most immediate ROI. Success starts with the problem you’re solving, not the trendiest tool.

2) Myth: Perfect data guarantees perfect results
Even with high-quality data, AI is probabilistic and not deterministic. Outliers and unusual errors happen. That’s why audit trails, risk management, and cultural readiness matter just as much as data quality.

3) Myth: AI replaces expertise and creativity
AI amplifies expertise but cannot substitute for it. Domain experts are critical for spotting flaws and guiding outcomes. And while AI can generate content, true creativity and ingenuity still rest with people.

4) Myth: Leaders don’t need to understand the tech
Courage and vision are vital, but without data and AI literacy, leaders risk reimagining the future on the wrong foundation. Both human leadership skills and technical fluency are essential.

If you’re serious about moving past AI buzzwords and building sustainable success in your organization, this conversation is for you.

Questions or suggestions? Send me a Text Message.

Support the show

***********
Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

More details:
https://www.intelligence-briefing.com
All episodes:
https://www.intelligence-briefing.com/podcast
Get a weekly thought-provoking post in your inbox:
https://www.intelligence-briefing.com/newsletter