Vermeer June 2025: AI & the Future of Work
Hello my new Vermeer friends & colleagues!
Surprise! AI took notes for me as I presented the AI & the Future of the Work keynote with all of you at our event in Pella in June! Here are those notes. I hope they help you on your AI journey. Below you’ll find a few things which may be helpful:
– the AI NOTES from our talk transcribed by Otter.ai
– a downloadable PDF SUMMARY of the most important slides from my talk
Thank you so much for allowing me to share my thoughts on AI with you!
Please let me know how I can be helpful in the future!
Dan
Dan Chuparkoff
A.I. & Innovation Keynote Speaker
CEO, Reinvention Labs
AI Educator & Innovation Expert from
Google, McKinsey, & Atlassian

PDF SUMMARY of key slides from Dan’s AI talk
This “Slide Cheatsheet” was customized for your specific talk. It’s designed to help audience-members like you, by wrapping my AI & the Future of Everything keynote into an easy-to-skim, easy-to-share, or easy-to-print resource for future reference.
Download the 3pg high resolution PDF here:
Hope you find it helpful!
AI NOTES from Dan’s Keynote
*These notes were created automatically by Otter.ai. Transcription errors or mistakes have not been fixed
in order to demonstrate the current state of AI notes.
Summary
Dan Chuparkoff discussed the transformative power of AI, highlighting its rapid advancements and applications. He noted that AI tools like ChatGPT, Copilot, Claude, and Gemini are revolutionizing various industries, including manufacturing and agriculture, with technologies like generative design, digital twins, and predictive maintenance. Chuparkoff emphasized the importance of understanding AI's limitations and using it as an assistant rather than a co-pilot. He also stressed the need for clear communication and decision-making, predicting that AI will significantly reduce time spent on communication and increase efficiency in problem-solving.
Action Items
[ ] Type the prompt "what are 10 ways that AI might change the design, manufacture, service and support, high quality industrial and agricultural equipment to help customers in 60 countries keep driving their business forward" into an AI assistant and review the response.
[ ] Scan the QR code at the end of the presentation to receive the slides and AI-generated notes from the session.
[ ] Explore the privacy policies and data usage terms of AI tools like Hagen before using them for sensitive or confidential information.
Outline
Introduction and AI Generated Content
Speaker 1 introduces Dan Chuparkoff as a trailblazer with over 30 years of experience in innovation at Google and McKinsey.
Speaker 2 describes Dan as an "understandable technology speaker" known for making complex things simple and useful.
Dan Chuparkoff begins by mentioning the AI-generated people in the introduction and the recent advancements in AI-generated video by Google.
Dan appreciates the progress made by the audience in adopting AI, noting that many teams have already started experiments and strategic initiatives.
Dan's Journey and Early Adoption of Technology
Dan shares his personal journey from a troubled childhood in Tampa, Florida, to becoming a leader at Google, emphasizing the importance of early adoption of technology.
He recounts his experience at 17 with Mr. Pak, an architect who showed him AutoCAD and the concept of copy and paste, which significantly increased his productivity.
Dan explains how the introduction of new technologies like PCs, spreadsheets, the internet, mobile, cloud, and data science has transformed work over the years.
He highlights the importance of adopting new technologies quickly to gain a competitive edge and mentions the current focus on generative AI.
Understanding AI and Its Misconceptions
Dan discusses the common misconceptions about AI, noting that people often use the term AI to refer to various things like chatbots, machine learning, and regression analysis.
He shares an example of an image generation tool that produced an inaccurate representation of AI, showing the need for clarity in understanding AI.
Dan emphasizes the importance of treating AI as a tool that can be both helpful and misleading, and the need to challenge AI's outputs with human expertise.
He introduces the concept of AI as a conversational information interface, which requires ongoing interaction to ensure accuracy and confidence.
AI Tools and Their Applications
Dan introduces fundamental AI algorithms, starting with ChatGPT and its relationship with Copilot, explaining how Microsoft supports OpenAI's development.
He mentions other AI tools like Claude and Gemini, highlighting their unique features and potential applications.
Dan discusses the importance of familiarizing oneself with these tools to understand their strengths and limitations.
He notes the significant adoption of these tools, with nearly 1 billion people using them weekly, and compares this to the penetration of cars.
Industry-Specific AI Applications
Dan explains how AI can transform various industries, using the example of designing, manufacturing, and supporting industrial and agricultural equipment.
He encourages the audience to use AI assistants to stay updated on industry changes and new tools.
Dan provides a list of 10 ways AI can impact these industries, including generative design, digital twins, and predictive maintenance.
He emphasizes the importance of leveraging AI to stay competitive and innovative.
AI's Role in Content Creation and Decision Making
Dan describes AI as a content creation assistant rather than a data analyst, highlighting its strengths in generating stories, answering questions, and improving communication.
He explains the importance of using AI to enhance productivity and decision-making, rather than replacing human expertise.
Dan introduces the concept of AI agents, which can perform various tasks like research, document creation, and customer engagement.
He warns about the potential risks of using AI, such as privacy breaches and low confidence in AI-generated content.
The Future of Work with AI
Dan outlines the hierarchy of human expertise, emphasizing the importance of communication, teaching, processing, problem-solving, decision-making, and imagining.
He notes that AI can handle the bottom layers of this hierarchy, freeing up humans to focus on higher-level tasks.
Dan discusses the potential for AI to revolutionize collaboration by enabling real-time translation and improving meeting efficiency.
He highlights the importance of managing AI tools responsibly, including understanding their limitations and privacy policies.
AI's Impact on Global Collaboration
Dan introduces the concept of AI-powered translation, which can make global collaboration more equitable and efficient.
He shares a video demonstrating how AI can translate between multiple languages in real-time, highlighting the potential for seamless communication.
Dan emphasizes the importance of AI in democratizing access to information and transforming education.
He advises the audience to be cautious about privacy and security when using AI tools, ensuring that their data is protected.
Conclusion and Call to Action
Dan concludes by encouraging the audience to embrace AI as a tool to enhance their work and stay competitive.
He emphasizes the importance of leveraging AI to solve problems, make better decisions, and imagine a better future.
Dan highlights the need for ongoing learning and adaptation to keep up with the rapid pace of technological change.
He thanks the audience and encourages them to scan a QR code to access the AI-generated notes from his presentation.