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Elevate Your AIQ

Elevate Your AIQ

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 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
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  • Ep 110: Rewiring Organizations for Human-Centric AI Transformation with Melissa Reeve

    Ep 110: Rewiring Organizations for Human-Centric AI Transformation with Melissa Reeve
    Mar 20 2026
    Bob Pulver and Melissa Reeve explore AI transformation and organizational design through the lens of Melissa's Hyperadaptive framework. They unpack what it means to become AI native, why most enterprises stumble by neglecting human support structures, and how governance, AI activation hubs, and AI leads create always-on learning organizations. The conversation tackles the reinvestment dilemma — what to do with capacity freed by AI — and makes the case for durable skills, systems thinking, and career lattices over ladders. Both Bob and Melissa draw on their non-linear careers and share the belief that humans remain essential connective tissue in any AI-powered future. Keywords Hyperadaptive, AI native, AI transformation, support structures, AI activation hubs, AI leads, dynamic governance, systems thinking, durable skills, adjacent competencies, agentic workflows, responsible AI, triple bottom line, career lattice, organizational design, value streams, Melissa Reeve, Elevate Your AIQ Takeaways Most AI transformations fail not because of technology, but because organizations underinvest in support structures — from AI councils to activation hubs to frontline AI leads Becoming AI native is a gradual five-stage journey: foundation, workflow integration, agentic AI, scaling agents, and full hyper-adaptivity The bifurcation problem is real: a small percentage self-direct their AI learning while the majority are left behind without programmatic support Individual productivity gains are a vanity metric — what matters is whether AI unlocks new organizational capabilities and a more ambitious mission The shift for workers is from doing the task to building, monitoring, and maintaining the AI that does it — durable skills like systems thinking are central to that transition Adjacent competencies unlocked by AI are where breakthrough innovation happens, especially at the intersection of previously siloed domains Responsible AI and the triple bottom line — people, profit, and planet — must be woven into AI native organizations from the start Quotes "A piano is easy to use — you can dink around on the keys all day, but it's not really easy to learn." "You can't get 21st century results with the 20th century operating system." "With great power comes great responsibility — and I don't think there's enough attention being put to the implications of AI." "The shift is from creating to building, monitoring, or maintaining — and there will always be room for the artisans." "AI changes who can do what — and that's where the innovation is, at the overlay of disciplines." Chapters 00:02 Welcome and introductions 01:17 Melissa's non-linear path and the origins of Hyperadaptive 03:49 Systems thinking, transferable skills, and shared career philosophies 05:13 Unpacking AI native and what it means for organizational design 07:53 Why large enterprises are struggling and the aircraft carrier analogy 09:21 AI maturity, readiness, and knowing where to draw the line 11:14 The biggest mistake: neglecting human support structures 13:57 AI activation hubs, AI leads, and dynamic governance 19:14 Centralized vs. functional governance layers 23:14 Where most organizations stand in early 2026 26:16 Individual productivity as a vanity metric 28:02 Unlocking organizational potential beyond current capabilities 31:22 Adjacent competencies, durable skills, and the future of careers 37:48 Systems thinking and redesigning work 40:05 Career lattices, value streams, and Unilever's talent model 43:10 AI governance, responsible AI, and the triple bottom line 50:48 Melissa's book release details Melissa Reeve: https://www.linkedin.com/in/melissamreeve Hyperadaptive Solutions: https://hyperadaptive.solutions For advisory and marketing inquiries: Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠ Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠ Substack: ⁠https://elevateyouraiq.substack.com⁠
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    52 min
  • 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
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    56 min
  • Ep 108: Disrupting Insurance While Designing and Building Responsibly with Juan Garcia

    Ep 108: Disrupting Insurance While Designing and 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
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    55 min
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