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

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 LearnWorldsPanos Siozos on LinkedInhttps://www.linkedin.com/in/siozos/LearnWorldshttps://www.learnworlds.com🛠 AI Tools and Resources MentionedChatGPThttps://openai.com/chatgpt📌 Chapters00:00 Introduction to Panos Siozos02:12 Panos’ background in learning and education technology05:18 Why learning is not disappearing in the AI era08:44 Knowledge vs real understanding12:06 The risk of cognitive laziness with AI16:22 Why struggle and friction matter in learning20:35 How AI changes authority and credibility25:11 Turning expertise into meaningful learning experiences29:54 Using AI to support, not replace, human learning35:18 Building premium learning products in the AI age41:02 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 CakirTim Cakir on LinkedInhttps://www.linkedin.com/in/timcakir/AI Operator https://aioperator.com🛠 AI Tools and Resources MentionedChatGPT — https://chat.openai.comGoogle Gemini — https://deepmind.google/technologies/gemini/Google AI Studio — https://aistudio.google.comClaude — https://claude.aiNotebookLM — https://notebooklm.googleElevenLabs — https://elevenlabs.ioVapi — https://vapi.aiMake — https://www.make.comZapier — https://zapier.comn8n — https://n8n.ioNotion — https://www.notion.soMCP (Model Context Protocol) — https://modelcontextprotocol.ioCustom GPTs — https://chat.openai.com/gptsAI Operator — https://www.aioperator.comInternal AI assistants used inside organizations📌 Chapters00:00 Introduction to Tim Cakir02:18 Why leaders feel overwhelmed by AI05:06 Tool overload vs outcome driven adoption08:44 Human plus AI collaboration mindset13:02 Reducing fear around AI at work17:36 Training teams based on real workflows22:41 Behavior change vs policy driven adoption27:15 Using voice AI to reclaim time and focus31:48 How leaders should evaluate new AI tools36:05 Where AI Operator helps organizations start40:12 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 AIhttps://www.linkedin.com/in/mohamed-a-yousuf/  Smart Workforce AI https://smartworkforce.io🛠 AI Tools and Resources MentionedChatGPT https://openai.com/chatgptAI powered workforce forecasting models Large language models for scheduling and planning Internal AI copilots for workforce management📌 Chapters00:00 Introduction to Mohamed Yousuf01:10 From Airline Scheduling to Workforce AI03:55 Why Workforce Planning Is a Universal Business Problem05:21 Using AI to Complement Human Decision Making06:54 Healthcare staffing and burnout challenges09:16 Forecasting demand using demographic and immigration data11:23 Hospitality, events, and seasonal workforce planning12:48 Avoiding panic hiring and panic firing14:32 Measuring labor cost savings and productivity gains17:53 Making AI powered scheduling accessible to smaller teams21:17 Onboarding and system learning timelines22:56 Handling labor laws and contract complexity with AI25:19 AI assistants for managers and employees27:15 Giving employees more control over schedules29:52 Minimum team size to benefit from AI scheduling33:16 The future of micro shifts and flexible work35:29 Pricing and ROI for small and mid sized businesses39:34 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 MentionedChatGPT ➡ https://openai.com/chatgpt Internal AI assistants used by marketing and revenue teams📌 Chapters00:00 - Introduction to Patrick Leung04:12 - Where AI Fits Inside Marketing and Revenue Teams10:36 - Practical AI Use Cases for Execution17:48 - Supporting Non Technical Teams with AI24:15 - Avoiding Tool Overload and Overengineering31:02 - Using AI to Improve Consistency and Speed38:20 - Moving from Experiments to Scaled Workflows45:10 - Final Advice for Leaders Adopting AI48:55 - How to Connect with Patrick Leung

Chris Daigle sits down with Zak Ali, General Manager at Finder, to unpack how search is evolving as people move from traditional search engines to large language models like ChatGPT, Claude, and Gemini.Zak explains why SEO is not dead, how LLMs decide which brands to surface, and why trust signals like authority, recency, and editorial rigor matter more than ever. He shares how Finder adapted its content strategy to show up consistently inside AI answers, what types of long tail queries perform best in LLM search, and how AI powered browsers are changing the future of discovery.They also explore how Finder is approaching AI upskilling internally, why hands on experimentation beats mandates, and how non technical teams are using tools like Claude Code and MCPs to dramatically increase productivity. This episode is a must listen for leaders who want to understand where search is headed and how AI is reshaping how customers find solutions.🔎 Find Out More About Zak AliLinkedInhttps://www.linkedin.com/in/zak-ali44/ Substack https://thoughtson.substack.comFinder https://www.finder.com🛠 AI Tools and Resources MentionedChatGPT https://openai.com/chatgptClaude https://claude.aiPerplexity https://www.perplexity.aiNotebook LM https://notebooklm.google📌 Chapters00:00 Introduction to Zak Ali and Finder 02:10 SEO vs LLM search and why fundamentals still matter 04:55 How LLMs choose which sources to cite 07:40 Bing, Google, and triangulating AI search results 10:30 Inspecting ChatGPT queries to understand discovery 13:05 Recency, trust, and authority signals for LLMs 15:45 AI generated content and human quality standards 18:35 Long tail queries and why they win in AI search 21:40 Measuring traffic and revenue from LLM discovery 24:10 AI browsers and the future of click data 27:30 Internal AI upskilling without mandates 30:20 Claude Code, MCPs, and terminal based workflows 34:10 Non technical teams building real tools with AI 37:40 Executive blind spots and the knowledge gap 41:05 Getting started with practical AI habits 44:00 Where to follow Zak Ali and keep learning