Ep 61: Assessing AI Literacy, Readiness, and Maturity with Eryn Peters and Iwo Szapar

Bob Pulver catches up with Erin Peters and Iwo Szapar to explore the evolving landscape of AI literacy and their AI Maturity Index (AIMI). They discuss the importance of understanding how AI is being utilized in the workplace, the development of AIMI to benchmark AI readiness, and the STEP framework for implementing AI strategies. The conversation hits on the distinction between automation and augmentation, challenges orgs face in measuring productivity, and the need for a more nuanced understanding of AI's value proposition. Bob and his guests discuss the multifaceted aspects of AI adoption, how to measure progress, how to gauge maturity levels, and the importance of benchmarking. They explore the evolving landscape of AI skills in hiring, cultural shifts towards AI integration, and the necessity of responsible innovation. The dialogue also touches on the governance and ethical considerations surrounding AI, as well as global perspectives on its implementation, particularly in regions like Saudi Arabia. Keywords AI literacy, AI maturity index, future of work, automation, augmentation, productivity, change management, digital transformation, workforce development, AI strategy, AI adoption, organizational maturity, competitive benchmarking, AI skills, hiring trends, cultural shifts, responsible innovation, AI governance, global AI perspectives Takeaways AI literacy is crucial for the future of work. The AI maturity index helps organizations benchmark their AI readiness. The STEP framework simplifies AI implementation processes. Many organizations struggle with AI implementation despite having strategies. AI can enhance productivity and work-life balance. Understanding the real value of AI goes beyond cost savings. Personalized approaches to AI implementation are essential. The landscape of AI is rapidly evolving, requiring continuous learning. Measuring AI adoption success requires real data, not just anecdotes. Departments within organizations may have varying maturity levels in AI adoption. AI skills are becoming essential in hiring practices across industries. Cultural shifts are influencing how organizations embrace AI technology. Responsible innovation is crucial for leveraging AI effectively. AI governance must balance control with worker empowerment. Global perspectives on AI adoption reveal significant regional differences. Organizations need to adapt to the rapid pace of AI advancements. Sound Bites "AI is going to steal your job." "We help individuals, teams and organizations." "Democratize access to insights." "80% of AI implementation projects are failing." "AI can really help fix a lot of challenges." "It's about making my life easier." "We need to start looking at real value." "This is what I'm doing right now." "We can go more in depth, more personalized." "We're all tech enabled in different ways." "This is a balancing act of guided empowerment." Chapters 00:00 Introduction to AI Literacy and Maturity Index 03:49 Understanding the AI Maturity Index 11:44 The STEP Framework for AI Implementation 18:43 Navigating Automation vs. Augmentation 23:23 Measuring AI Value Beyond Cost Savings 25:55 Measuring Success in AI Adoption 30:23 Understanding Organizational Maturity in AI 31:21 The Competitive Edge of AI Benchmarking 32:58 The Future of AI Skills in Hiring 37:12 Cultural Shifts in AI Adoption 40:37 Responsible Innovation in AI 46:05 Navigating AI Governance and Ethics 50:00 Global Perspectives on AI Implementation Eryn Peters: https://www.linkedin.com/in/erynpeters Iwo Szapar: https://www.iwoszapar.com/ For advisory work and marketing inquiries: Bob Pulver: https://linkedin.com/in/bobpulver Elevate Your AIQ: https://elevateyouraiq.com Thanks to Warden AI (https://warden-ai.com) for their sponsorship and support of the show! Warden is an AI assurance platform for HR technology to demonstrate AI-powered solutions are fair, compliant and trustworthy.