Page de couverture de Elevate Your AIQ

Elevate Your AIQ

Elevate Your AIQ

Auteur(s): WRKdefined
Écouter gratuitement

À propos de cet audio

 Bob Pulver is helping each of us navigate our respective journeys with artificial intelligence (AI) effectively and responsibly. Bob chats with AI and Future of Work experts, talent and transformation leaders, and practitioners who provide diverse perspectives on how AI is solving real-world challenges and driving responsible innovation.All rights reserved by WRKdefined Développement commercial et entrepreneuriat Entrepreneurship Gestion et leadership Économie
Épisodes
  • Ep 109: Championing Human Originality to Accelerate AI Transformation with Jonathan Aberman

    Ep 109: Championing Human Originality to Accelerate AI Transformation with Jonathan Aberman
    Mar 13 2026
    Jonathan Aberman — venture capitalist, entrepreneur, educator, and CEO of Hupside — joins Bob Pulver to explore why AI readiness is fundamentally a human potential problem. Hupside's Original Intelligence Quotient (OIQ) provides an objective measurement of human originality relative to AI output, giving organizations a clear signal of who can thrive in an AI-augmented environment, who needs development, and how to compose teams for transformation. Jonathan and Bob dig into the dangerous feedback loop that AI can create when misused, and why originality is the true competitive differentiator. The conversation spans higher education, venture capital, workforce design, and the future of digital credentials, all through the lens of keeping humans central to value creation. Keywords Jonathan Aberman, Hupside, OIQ, Original Intelligence Quotient, AI readiness, human originality, talent transformation, workforce design, higher education, venture capital, AI augmentation, digital credentials, collective intelligence, responsible AI, human-AI symbiosis Takeaways Hupside's OIQ objectively measures human originality against AI output, helping organizations identify who to develop, elevate, or support through AI transformation AI creates a self-reinforcing feedback loop that debilitates when misused — but as a tool, it can powerfully accelerate human creativity Originality equals novelty plus salience; AI can generate novelty, but humans remain essential for determining what's meaningful Higher education's real challenge isn't cheating prevention — it's teaching students to reason well with AI, then measuring output quality Misaligning high-OIQ talent with constrained roles leaves value on the table; matching autonomy to originality profiles is a key workforce design opportunity The greatest long-term AI risk may be whether rising capability gradually excludes people from competing as knowledge workers OIQ and AIQ scores are dynamic and improvable — making them well-suited for portable digital credential profiles Quotes "AI has a couple of limitations that make it different from every tool humans ever invented — it creates a self-reinforcing loop that can cause debilitation if not used properly." "We're the umpire in a baseball game. We're not the players — you and your listeners are the players." "AI is not a cheating problem, it's an education problem." "Originality is novelty plus salience. As long as humans are the ones consuming, AI will always be at best a lieutenant." "The more we [flood] society with sameness, the more people who stand out are going to be important." "I'm not worried about whether AI becomes sentient. I'm more worried about whether it raises the bar and starts to exclude people." Chapters 00:02 Welcome and introductions 02:58 The founding of Hupside and the OIQ origin story 05:35 AI readiness as a human potential problem 07:53 OIQ in higher education and rethinking assessment 09:11 K-12 considerations and bias mitigation 11:20 VC and portfolio applications of OIQ 15:11 Embedding OIQ into the talent lifecycle 19:56 Autonomy, role design, and workforce orchestration 24:42 Higher education, authenticity, and the value of originality 27:04 Innovation management and organizational barriers to AI adoption 34:52 Short-termism, Silicon Valley monoculture, and pushing back 39:25 Can LLMs become truly original? Shared novelty vs. human originality 43:20 Collective intelligence and the wisdom of crowds 48:53 Digital credentials, OIQ in talent profiles, and data ownership 54:43 What's next for Hupside and closing thoughts Jonathan Aberman: https://www.linkedin.com/in/jonathanaberman Hupside: hupside.com For advisory work and marketing inquiries: Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠ Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠Substack: ⁠https://elevateyouraiq.substack.com⁠
    Voir plus Voir moins
    56 min
  • Ep 108: Disrupting Insurance While Building Responsibly with Juan Garcia

    Ep 108: Disrupting Insurance While Building Responsibly with Juan Garcia
    Mar 6 2026
    Juan Garcia, co-founder of Tuio, a fully digital insurance company based in Spain, joins Bob to discuss how Tuio is reimagining personal lines insurance for digitally-native consumers long underserved by traditional carriers. Juan shares how Tuio evolved its AI strategy from chasing operational efficiency to making smarter decisions across marketing, underwriting, and claims. Tuio built a proprietary AI claims agent that surfaces next-best-action recommendations with confidence scores, always with a human in the loop. The conversation also explores Tuio's grassroots approach to AI literacy, responsible design, and the organizational courage required to fundamentally rethink how a company works. Keywords Juan Garcia, Tuio, insurtech, digital insurance, personal lines, Spain, AI strategy, claims automation, Watson, human in the loop, AI literacy, responsible AI, subscription insurance, underwriting, organizational transformation, vertical AI, bottom-up innovation Takeaways Tuio identified a digitally-native consumer segment structurally unprofitable for traditional insurers and built a model around serving them through simplicity and transparency Most AI pilots focus on the wrong 10%: cost-to-serve efficiencies. Real value lies in improving decisions across marketing and claims, which represent ~85% of an insurer's cost base Watson processes multimodal inputs and generates next-best-action suggestions with confidence scores — routing complex ones to human reviewers Tuio never automates negative customer decisions — not just due to EU regulation, but because human empathy is irreplaceable in those moments By subsidizing any AI tools employees want to explore, Tuio unlocked bottom-up innovation — including a veterinarian who independently proto-built Watson's logic for pet health claims The real barrier to enterprise AI transformation is organizational courage: reworking processes and structures around AI requires strong leadership Quotes "AI is something that makes you rethink the way you do your whatever you do — and that's going to be different industry per industry, even company per company." "We switched from chasing cost-to-serve efficiencies to using AI to make better decisions — growing efficiently, underwriting smarter, and managing claims more effectively." "We will never automate negative decisions. If you start from the standpoint that your customers are your most valuable resource, you want to give them the most humane treatment you can." "If you don't give people these tools, you'll miss all the bottom-up ideas from the people actually in the trenches every day." "Even if you can build it, it doesn't mean you should. Just because AI can do something doesn't mean you should deploy it there." Chapters 00:02 Welcome and introductions 00:44 Juan's background: from telecom engineer to insurtech co-founder 03:31 Horizontal vs. vertical AI value — where the real opportunity lies 06:41 Tuio's target market and the underserved digitally-native consumer 12:54 Rethinking insurance: digital simplicity as competitive advantage 16:03 Tuio's AI evolution: from chatbot to decision intelligence 20:54 Watson: Tuio's AI claims agent and the shift to next-best-action 23:24 Human in the loop: why some decisions will never be automated 28:53 Building AI literacy through empowerment, not training mandates 32:52 Bottom-up innovation and the veterinarian who built Watson's prototype 40:31 AI readiness, responsible design, and knowing what not to build 45:15 Organizational courage and why AI transformation is harder than those before it 53:30 Closing reflections and what's next for Tuio Juan Garcia: https://www.linkedin.com/in/juanga2/ Tuio: https://tuio.com/ For advisory work and marketing inquiries: Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠ Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠ Substack: ⁠https://elevateyouraiq.substack.com⁠
    Voir plus Voir moins
    55 min
  • Ep 107: Measuring AI Maturity, ROI, and Organizational Impact with Russ Fradin

    Ep 107: Measuring AI Maturity, ROI, and Organizational Impact with Russ Fradin
    Feb 27 2026
    Bob Pulver sits down with Russ Fradin, Founder and CEO of Larridin, to explore what it really takes for organizations to move from AI experimentation to measurable impact. They unpack the tension between AI excitement and enterprise reality, focusing on ROI, workforce readiness, responsible adoption, and the cultural shifts required to unlock productivity gains. Russ outlines why measurement and visibility are the missing pieces in most AI strategies and makes the case that high-agency professionals who embrace AI will shape the future of work. The conversation reframes AI not as a job eliminator, but as a force multiplier—if leaders build the right scaffolding to support their people. Keywords Russ Fradin, Larridin, AI ROI, AI readiness, AI maturity, workforce transformation, CIO strategy, CHRO strategy, CFO decision-making, productivity measurement, high-agency professionals, AI adoption, responsible AI, enterprise AI, organizational change Takeaways AI adoption without measurement leads to experimentation without accountability. CIOs, CFOs, and CHROs need visibility into what tools are actually being used—and whether they drive real productivity. The future of knowledge work is humans working with AI tools alongside agents. High-agency professionals who embrace AI will dramatically amplify their output and career trajectory. Organizations must move beyond individual productivity metrics toward team and enterprise-level effectiveness. Responsible AI adoption requires training, policy scaffolding, and clarity around secure, enterprise-grade usage. Companies that reinvest AI-driven productivity into growth will outperform those focused solely on short-term margin gains. Quotes “You can’t possibly understand the ROI of these tools without understanding what’s being used in your organization.” “Having great technology is necessary, but not sufficient to drive change.” “The future of work is humans using AI tools, working alongside agents.” “There’s no such thing as a knowledge worker five years from today who isn’t using AI in some part of their job.” “We’re effectively redefining what it takes to succeed in a lot of these roles—in real time.” “The companies that don’t partner with their employees on this transformation will get left behind.” Chapters 00:02 Welcome and Introduction 00:31 Russ’s Background and the Vision Behind Larridin 01:32 Why AI Is a Generational Technology Shift 03:34 The Measurement Gap in Enterprise AI Adoption 06:17 Workforce Anxiety and AI Upskilling 10:33 The ROI Question and Productivity Metrics 15:10 Global Talent, Competition, and AI Parallels 20:17 Responsible AI and Security Considerations 26:20 Building the Scaffolding for Adoption 30:48 Understanding What “Great” Looks Like 34:55 Who Captures the Productivity Gains? 40:22 The High-Agency Advantage in the AI Era 46:09 Why Smart Companies Invest in Their People 52:04 What’s Next for Larridin 53:09 Closing Remarks Russ Fradin: https://www.linkedin.com/in/rfradin Larridin: https://larridin.com For advisory work and marketing inquiries: Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠ Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠ Substack: ⁠https://elevateyouraiq.substack.com⁠
    Voir plus Voir moins
    55 min
Pas encore de commentaire