Chris Daigle sits down with Peter Cappelli, Professor of Management at the Wharton School, to explore how AI is changing how companies hire, train, and manage people. Peter breaks down the myths around job displacement, explains why most organizations misunderstand what AI can and cannot automate, and shares how leaders can adapt workforce strategies for the AI era.

They discuss the balance between efficiency and humanity in AI adoption, why prediction and decision-making should stay in human hands, and what executives need to know about reskilling and internal mobility as automation grows. Drawing from research and decades of experience, Peter provides an unfiltered look at what the future of work will truly require from both employees and employers.

🔎 Find Out More About Peter Cappelli

LinkedIn
https://www.linkedin.com/in/peter-cappelli-14936a3/

Book by Peter Cappelli
https://www.pennpress.org/9781613631911/the-future-of-the-office-with-a-new-afterword-by-the-author/

🛠 AI Tools and Resources Mentioned

ChatGPT
https://openai.com/chatgpt

Chief AI Officer Resources
https://chiefaiofficer.com

📌 Chapters

00:00 – Introduction to Peter Cappelli
02:35 – How AI is Reshaping Hiring and Training
07:45 – Separating AI Hype from Workplace Reality
12:20 – Why Prediction Still Needs Human Judgment
17:15 – Redefining Workforce Planning in the AI Age
23:42 – What Executives Get Wrong About Automation
29:30 – Reskilling and Internal Mobility for the Future of Work
35:05 – AI Governance and Trust Inside Organizations
40:18 – Balancing Efficiency with Human Value
44:12 – Advice for Leaders Adopting AI Responsibly
48:20 – How to Connect with Peter Cappelli

Chris Daigle sits down with Chris Duffy, AI strategist and fractional Chief AI Officer, to talk about how companies can adopt AI in a way that is responsible, practical, and centered on people. Chris explains why most organizations do not need more tools. They need clarity, governance, and leadership alignment.

They discuss how to identify true bottlenecks in a business, how to design AI policies that actually get used, and why focusing on real workflow problems drives far more value than chasing shiny technology. Chris also shares how fractional AI leadership works in companies that are not ready to hire a full time CAIO and why the most successful AI programs start with listening before building.

This episode gives leaders a blueprint for implementing AI with intention, trust, and measurable impact.

Website
https://www.chrisduffy.ai

LinkedIn
https://www.linkedin.com/in/chrisfduffy/

ChatGPT
https://openai.com/chatgpt

Perplexity
https://www.perplexity.ai

Chief AI Officer Resources
https://chiefaiofficer.com

00:00 – Introduction to Chris Duffy
02:10 – Why AI Transformation Starts With People
05:20 – Finding Real Bottlenecks vs Tool Chasing
09:44 – How to Build AI Policies That Work
14:35 – Shadow AI and Trust in the Workplace
18:50 – Leadership Alignment and AI Priorities
23:12 – The Role of a Fractional Chief AI Officer
27:40 – Listening Before Building: Discovery First
31:25 – Turning Problems Into Measurable ROI
36:58 – Helping Teams Use AI Safely and Effectively
41:10 – Where to Start With Responsible AI Adoption
45:55 – How to Connect with Chris Duffy

Chris Daigle sits down with Allen Martinez, founder of Noble Digital and Chief Growth Officer at Noble Vision, to talk about how AI is reshaping creative strategy, storytelling, and business growth. Drawing on his experience with global brands and data-driven campaigns, Allen explains how teams can use AI to enhance creativity, speed up decision-making, and find stronger brand-to-audience alignment.

They dive into how AI tools can turn raw data into powerful creative insight, how to balance human intuition with machine intelligence, and why the next generation of business storytelling will depend on those who learn to collaborate with AI rather than compete with it.

This episode offers a roadmap for leaders and marketers who want to use AI not just to automate, but to think more creatively, act more strategically, and scale their impact.

🔎 Find Out More About Allen Martinez and Noble Digital

Allen Martinez - https://linktr.ee/allenmartinez

Noble Digital Website
https://nobledigital.com

🛠 AI Tools and Resources Mentioned

ChatGPT ➡ https://openai.com/chatgpt

Claude ➡ https://claude.ai

ChiefAIOfficer Resources ➡ https://chiefaiofficer.com

📌 Chapters

00:00 – Intro to Allen Martinez
03:12 – How AI is Transforming Creative Strategy
08:24 – Human Intuition vs Machine Intelligence
14:17 – Data-Driven Storytelling with AI
19:45 – The Creative Process in an AI World
25:03 – Building AI-Powered Marketing Frameworks
31:42 – Balancing Speed and Quality in Content Creation
38:18 – Scaling Brand Impact with Automation and Insight
44:29 – How to Get Started Integrating AI into Creative Workflows
50:12 – Connect with Allen Martinez and Learn More

In this episode, Chris Daigle is joined by Kristin Ginn, founder of trnsfrmAItn, to discuss the real reason most companies fail with AI adoption. Spoiler: it is not the technology. It is the humans.

Kristin breaks down why AI productivity gains at the individual level rarely translate into measurable organizational outcomes and how to close that gap by activating employees through mindset shifts, habit building and better enablement strategies. You will learn how leaders can make AI visible from the top down and how champions can drive change from the bottom up so the entire organization benefits.

This conversation is a practical guide for business leaders who want AI to increase productivity, energy and competitive capability without leaving humans behind.

🔎 Connect with Kristin Ginn

https://www.trnsfrmaitn.com/

Follow Kristin Ginn on LinkedIn
https://www.linkedin.com/in/ginnkristin/

🛠 AI Tools and Resources Mentioned

ChatGPT
https://openai.com/chatgpt

Microsoft Copilot
https://www.microsoft.com/en-us/microsoft-copilot

Claude
https://claude.ai

Internal AI Assistants
(Company specific and not publicly linked)

📌 Chapters

00:00 Intro to Kristin Ginn
02:21 Why AI adoption fails at the organizational level
06:13 Human change vs technology rollout
11:10 Employee fears and “AI is cheating” mindset
15:44 Creating intentional AI habits
21:09 AI champions and sharing wins
26:28 Making AI visible through leadership
31:47 Four AI mindsets for everyday work
37:55 Changing culture with practical success stories
43:28 Where to start with enterprise AI transformation
49:02 How to connect with Kristin and get her AI e-book

Chris Daigle sits down with Maria Elena Duron, fractional Chief AI Officer and marketing strategist, to explore how small and mid-sized businesses can successfully adopt AI without overwhelming their teams. Maria shares her experience helping businesses bridge the gap between awareness and real application — from her years training entrepreneurs on Google tools to guiding leaders through AI adoption today.

You’ll hear how she helps companies build AI councils, manage shadow AI risks, and develop AI use policies that protect both data and teams. Maria explains why change management is central to AI success, how to identify the “low-hanging fruit” for measurable results, and why executives must align goals with realistic timelines. With practical insights on governance, productivity vs. efficiency, and building custom role copilots with tools like Notebook LM and GPTs, this episode is a roadmap for leaders navigating AI adoption.

🔎 Find Out More About Maria Elena Duron
Instagram: Marketing Coach Maria ➡ https://www.instagram.com/marketingcoachmaria
Website: SmartBrandSystem.com ➡ https://smartbrandsystem.com

🛠 AI Tools and Resources Mentioned in This Episode
ChatGPT ➡ https://openai.com/chatgpt
Notebook LM ➡ https://notebooklm.google

📌 Chapters
00:00 – Introduction to Maria Elena Duron
03:00 – Lessons from Early Tech Shifts: Internet, Social Media, and AI
05:56 – Helping Small Businesses Understand Google and Visibility
08:31 – AI Adoption Parallels: Google Search vs. Generative AI
11:04 – Starting with Leadership: Goals, Fears, and Change Management
12:31 – Overcoming Team Fear and Shiny Object Syndrome
13:59 – Positioning AI as Investment in People
14:57 – Interviewing Teams and Vendors to Build Roadmap Reports
21:00 – Who Owns AI in a Company? Building AI Councils
24:07 – Establishing AI Use and Tool Policies for Security
26:28 – Setting Priorities and Roadmaps with Leadership
31:03 – Where to Start: Pilots and Low-Hanging Fruit
32:19 – Building Role Copilots with Custom GPTs and Notebook LM
34:53 – Using Notebook LM for Knowledge Retrieval and Productivity
40:19 – Defining Success: Efficiency vs. Productivity vs. Effectiveness
42:09 – Managing Expectations and Avoiding Unrealistic Timelines
44:22 – Webinar Wednesdays and Community Training

Episode tags:
AI in small business, AI in the workplace, AI adoption strategies, Change management and AI, Workplace AI governance, Non-technical AI leadership, AI use policies, AI productivity tools, Real-world AI applications, Executive AI training, AI transformation stories, AI councils in business

Chris Daigle sits down with Jim Curry, co-founder and investor at BuildGroup, to explore how AI is reshaping business strategy and organizational design.

Jim breaks down why SaaS companies have unique advantages in the AI era, and how AI adoption mirrors past infrastructure shifts like the rise of cloud and open source. He explains why most businesses shouldn’t chase AI-native hype, but instead focus on workflow transformation that drives measurable results.

This episode dives into:

• How to view AI adoption through the lens of past technology waves
• Why SaaS businesses are best positioned to integrate AI
• The organizational shifts AI will create, from agents to evolving job roles
• Balancing efficiency gains with true competitive differentiation
• How leaders should approach AI adoption without falling into the “shiny object” trap

Key Insight: AI is less about replacing businesses and more about re-architecting how they operate — and the winners will be those who align people, process, and technology together.

🔎 Find Out More About Jim Curry
BuildGroup ➡ https://www.buildgroup.com
LinkedIn ➡ https://www.linkedin.com/in/jimncurry/

🛠 AI Tools and Resources Mentioned in This Episode
ChatGPT ➡ https://openai.com/chatgpt

📌 Chapters
00:00 – Introduction to Jim Curry
04:13 – AI as the next infrastructure wave
09:00 – Why SaaS companies are best positioned for AI adoption
13:01 – Efficiency vs differentiation in AI strategy
18:13 – Organizational shifts: agents, workflows, and new roles
23:07 – Avoiding the shiny-object trap with AI tools
36:16 – Lessons from cloud and open source adoption
42:59 – Building AI-driven organizations with sustainability
44:42 – How to connect with Jim Curry

Episode tags:
AI in the workplace, AI for business leaders, Generative AI at work, Real-world AI applications, Workplace AI adoption, Executive AI training, AI productivity tools, AI transformation stories, Ethical AI business, AI strategy for executives, SaaS and AI adoption, AI in organizational change

Chris Daigle sits down with Bruce Clay, widely regarded as the Father of SEO, to discuss how artificial intelligence is reshaping search, rankings, and content strategy.

With more than 30 years pioneering SEO, Bruce shares why AI isn’t replacing SEO but instead changing how businesses must approach visibility. He explains how Google’s AI Overviews still rely on strong SEO signals, why AI-generated writing leaves footprints, and what companies should do to balance speed with authenticity.

🔎 Find Out More About Bruce Clay
https://bruceclay.com
Prewriter.ai - https://www.prewriter.ai
http://seotraining.com

🛠 AI Tools and Resources Mentioned in This Episode
ChatGPT ➡ https://openai.com/chatgpt
Prewriter.ai ➡ https://prewriter.ai

📌 Chapters
00:00 - Introduction to Bruce Clay
05:15 - SEO in the age of AI
12:48 - Why Google AI Overviews still rely on SEO signals
19:37 - Detecting AI-generated content footprints
26:10 - Why unedited AI content risks lower rankings
33:42 - Using AI as a research assistant, not a writer
41:18 - Prewriter.ai and optimizing AI content
48:05 - Google vs Perplexity and the future of search
55:20 - How to connect with Bruce Clay

Episode tags:

AI in the workplace, AI for business leaders, Generative AI at work, Real-world AI applications, AI in operations management, AI strategy for executives, AI in marketing attribution, AI productivity tools, AI for process improvement, AI transformation stories, Ethical AI business, AI case studies, SEO in the AI era, AI and content strategy

Chris Daigle sits down with Jeff Greenfield, CEO of Provalytics, to uncover how AI-driven attribution is transforming marketing measurement in the age of privacy.

Jeff shares his journey from building one of the first multi-touch attribution companies to creating Provalytics, a platform built to solve one of marketing’s oldest challenges: “Half of my ad spend is wasted — I just don’t know which half.”

This conversation covers:

• Why clicks mislead, and why impressions still matter
• How AI models real ad impact across multiple channels
• Why Google Analytics and “last-click” thinking are broken
• The balance between consistency and correctness in corporate marketing
• New opportunities in connected TV, influencer marketing, and digital out-of-home
• How small teams can use AI tools like ChatGPT + spreadsheets for attribution insights

Key Insight: Most companies waste 80–90% of their ad spend. With AI attribution, marketers can reclaim budget, reduce stress, and unlock smarter strategies.

🔎 Find Out More About Jeff Greenfield and Provalytics

Jeff Greenfield on LinkedIn - https://www.linkedin.com/in/jeffgreenfield/
Provalytics - https://provalytics.com/

🛠 AI Tools and Resources Mentioned in This Episode
ChatGPT - https://openai.com/chatgpt

📌 Chapters
00:00 – Introduction to Jeff Greenfield
02:43 – The century-old attribution problem
06:02 – From C3 Metrics to Provalytics
11:02 – Why last-click attribution is broken
28:05 – Consistency vs correctness in corporate marketing
31:11 – How AI models ad spend impact
36:05 – Channels beyond clicks: CTV, influencers, OOH
42:41 – Practical attribution tips for small teams
46:14 – The future of privacy-first measurement
48:58 – How to connect with Jeff Greenfield

Episode tags:
AI in the workplace, AI for business leaders, Generative AI at work, AI operational strategy, AI in marketing attribution, AI productivity tools, Real-world AI applications, AI for process improvement, Executive AI training, AI transformation stories, Ethical AI business, AI case studies, AI in operations management, AI strategy for executives