Using AI at Work: AI in the Workplace & Generative AI for Business Leaders

In this solo episode of Using AI at Work, Chris Daigle breaks from the interview format to share the AI tool stack he recommends to executives, leaders, and knowledge workers who want real value without chasing every new release.
Chris introduces the concept of “thinking in AI” and explains how leaders move from using AI for isolated tasks to developing an instinctive, organization-wide mindset where AI supports daily work, decisions, and workflows. He also addresses common fears around AI replacing jobs, clarifying the difference between task-level automation, project-level assistance, and full job replacement.
The episode walks through a curated set of AI tools that Chris believes are best-in-class, easy to use, and likely to stick around, helping leaders save time, reduce confusion, and build real context inside their organizations. This is a practical starting point for anyone looking to use AI at work with confidence and clarity in 2026.
🔎 Learn More About Chris Daigle and Chief AI Officer
Chris Daigle on LinkedIn
https://www.linkedin.com/in/chrisdaigle

Chief AI Officer
https://chiefaiofficer.com

🛠 AI Tools and Resources Mentioned
Fathom
https://chiefaiofficer.com/fathom

Perplexity
https://www.perplexity.ai

Comet Browser by Perplexity
NotebookLM
https://notebooklm.google

Gamma
 https://chiefaiofficer.com/gamma

Nano Banana image generation inside Google Gemini
ChatGPT
 https://openai.com/chatgpt

📌 Chapters
00:00 Why this episode is different
01:14 The problem with AI tool overload
02:10 What “thinking in AI” really means
03:22 From discrete AI use to an AI reflex
04:28 Sharing AI wins to build culture
05:35 AI governance and cultural readiness
06:18 Will AI replace jobs
07:15 Tasks, projects, and job-level work
08:42 What AI can realistically automate today
10:02 Economic impact of AI on knowledge work
11:48 Why meeting transcription builds business context
12:57 Using Fathom as an AI meeting assistant
13:45 Replacing Google with Perplexity
14:58 Agentic browsing with the Comet browser
15:42 NotebookLM as a learning environment
16:36 Creating executive decks with Gamma
17:18 Image generation with Nano Banana
18:02 Why community matters for AI adoption
19:22 Final advice for leaders getting started

Chris Daigle sits down with Panos Siozos, CEO and co-founder of LearnWorlds, to explore how AI at work is changing the way we learn, teach, and build real expertise.

Panos explains why access to information is no longer the challenge and why critical thinking, judgment, and structured learning matter more than ever in an AI-driven world. The conversation breaks down the difference between knowledge and understanding, the risk of cognitive laziness when relying too heavily on AI, and why learning still requires friction, effort, and human guidance.

They also discuss how AI should support learning rather than replace it, how credibility and authority are shifting in the age of generative AI, and what professionals and organizations must do to keep skills relevant as AI accelerates. This episode is a grounded look at using AI at work without losing the ability to think, learn, and grow.

🔎 Find Out More About Panos Siozos and LearnWorlds

Panos Siozos on LinkedIn
https://www.linkedin.com/in/siozos/
LearnWorlds
https://www.learnworlds.com

🛠 AI Tools and Resources Mentioned

ChatGPT
https://openai.com/chatgpt

📌 Chapters

00:00 Introduction to Panos Siozos
02:12 Panos’ background in learning and education technology
05:18 Why learning is not disappearing in the AI era
08:44 Knowledge vs real understanding
12:06 The risk of cognitive laziness with AI
16:22 Why struggle and friction matter in learning
20:35 How AI changes authority and credibility
25:11 Turning expertise into meaningful learning experiences
29:54 Using AI to support, not replace, human learning
35:18 Building premium learning products in the AI age
41:02 Final advice for professionals learning with AI

Chris Daigle sits down with Tim Cakir, founder of AI Operator, to talk about why most companies feel overwhelmed by AI and how leaders can move past tool overload to real productivity at work.
Tim shares his experience training teams across industries and explains why AI adoption fails when organizations chase tools instead of outcomes. The conversation focuses on building human centered AI habits, reducing fear around AI, and helping teams work with AI as a collaborator rather than seeing it as a threat.
They also explore how leaders can tailor AI training by role, why behavior change matters more than policies, and how voice AI and assistants are beginning to reshape how people plan, think, and execute at work. This episode is a practical guide for leaders who want progress with AI without burnout or confusion.

🔎 Find Out More About Tim Cakir
Tim Cakir on LinkedIn
https://www.linkedin.com/in/timcakir/
AI Operator
 https://aioperator.com

🛠 AI Tools and Resources Mentioned
ChatGPT — https://chat.openai.com
Google Gemini — https://deepmind.google/technologies/gemini/
Google AI Studio — https://aistudio.google.com
Claude — https://claude.ai
NotebookLM — https://notebooklm.google
ElevenLabs — https://elevenlabs.io
Vapi — https://vapi.ai
Make — https://www.make.com
Zapier — https://zapier.com
n8n — https://n8n.io
Notion — https://www.notion.so
MCP (Model Context Protocol) — https://modelcontextprotocol.io
Custom GPTs — https://chat.openai.com/gpts
AI Operator — https://www.aioperator.com
Internal AI assistants used inside organizations
📌 Chapters
00:00 Introduction to Tim Cakir
02:18 Why leaders feel overwhelmed by AI
05:06 Tool overload vs outcome driven adoption
08:44 Human plus AI collaboration mindset
13:02 Reducing fear around AI at work
17:36 Training teams based on real workflows
22:41 Behavior change vs policy driven adoption
27:15 Using voice AI to reclaim time and focus
31:48 How leaders should evaluate new AI tools
36:05 Where AI Operator helps organizations start
40:12 How to connect with Tim Cakir

Chris Daigle sits down with Mohamed Yousuf, founder of Smart Workforce AI, to explore how AI in the workplace can dramatically improve workforce scheduling, planning, and operational efficiency across industries.
Drawing on more than a decade of experience in airlines, healthcare, hospitality, and large scale operations, Mohamed explains how AI powered forecasting and scheduling can reduce overtime, prevent burnout, and help companies put the right people in the right place at the right time. The conversation covers real world AI applications like demand forecasting, seasonal planning, labor law compliance, and intelligent shift swapping, all supported by AI copilots that work alongside human decision makers.
This episode is a practical look at how AI productivity tools can turn workforce management from reactive firefighting into a strategic advantage, while keeping human well being at the center of operations.
🔎 Find Out More About Mohamed Yousuf and Smart Workforce AI
https://www.linkedin.com/in/mohamed-a-yousuf/ 
 Smart Workforce AI
 https://smartworkforce.io

🛠 AI Tools and Resources Mentioned
ChatGPT
 https://openai.com/chatgpt

AI powered workforce forecasting models
 Large language models for scheduling and planning
 Internal AI copilots for workforce management
📌 Chapters
00:00 Introduction to Mohamed Yousuf
01:10 From Airline Scheduling to Workforce AI
03:55 Why Workforce Planning Is a Universal Business Problem
05:21 Using AI to Complement Human Decision Making
06:54 Healthcare staffing and burnout challenges
09:16 Forecasting demand using demographic and immigration data
11:23 Hospitality, events, and seasonal workforce planning
12:48 Avoiding panic hiring and panic firing
14:32 Measuring labor cost savings and productivity gains
17:53 Making AI powered scheduling accessible to smaller teams
21:17 Onboarding and system learning timelines
22:56 Handling labor laws and contract complexity with AI
25:19 AI assistants for managers and employees
27:15 Giving employees more control over schedules
29:52 Minimum team size to benefit from AI scheduling
33:16 The future of micro shifts and flexible work
35:29 Pricing and ROI for small and mid sized businesses
39:34 How to get started with Smart Workforce AI

Chris Daigle sits down with Patrick Leung to explore how AI is being applied inside modern marketing and revenue teams to drive efficiency, consistency, and scale. Patrick shares real examples of how teams are using AI in the workplace to support go to market execution, internal knowledge sharing, and decision making without overwhelming non technical leaders.
The conversation covers practical AI adoption for business leaders, how to avoid overcomplicating workflows, and where AI productivity tools deliver the most value today. Patrick also breaks down how organizations can move from experimentation to repeatable AI powered processes that actually support growth. This episode is a grounded look at workplace AI adoption for teams focused on execution, not hype.
 🔎 Find Out More About Patrick Leung 
https://www.linkedin.com/in/puiwah/
🛠 AI Tools and Resources Mentioned
ChatGPT ➡ https://openai.com/chatgpt

Internal AI assistants used by marketing and revenue teams
📌 Chapters
00:00 - Introduction to Patrick Leung
04:12 - Where AI Fits Inside Marketing and Revenue Teams
10:36 - Practical AI Use Cases for Execution
17:48 - Supporting Non Technical Teams with AI
24:15 - Avoiding Tool Overload and Overengineering
31:02 - Using AI to Improve Consistency and Speed
38:20 - Moving from Experiments to Scaled Workflows
45:10 - Final Advice for Leaders Adopting AI
48:55 - How to Connect with Patrick Leung