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

Bob Pulver is joined by Stephen Messer, serial entrepreneur and co-founder of Collective[i] and Intelligence.com, to explore how collective intelligence, social analytics, and contextual AI are reshaping how business gets done. Stephen challenges the limitations of traditional SaaS and language models, arguing that true AI value comes from modeling real-world systems — especially how trust, relationships, and buying decisions actually unfold. The conversation dives into economic foundation models, the hidden power of relationship graphs, and why activating trusted networks may be the missing link in sales, hiring, and enterprise decision-making. Together, they unpack how removing friction and restoring context can unlock warp-speed productivity and more human-centered outcomes.

Keywords

Stephen Messer, Collective[i], Intelligence.com, collective intelligence, economic foundation model, relationship graphs, trust networks, contextual AI, sales productivity, forecasting, CRM transformation, go-to-market strategy, weak ties, network intelligence, AI agents, decision-making

Takeaways

Collective intelligence enables AI to model real-world business systems, not just generate language or automate workflows.

Context — including relationships, timing, incentives, and market conditions — is the missing ingredient in most AI-driven decision-making.

Traditional SaaS stacks create “silos of intelligence,” limiting visibility and reducing the effectiveness of AI tools layered on top.

Relationship graphs built from verified interactions unlock faster, higher-trust introductions and better business outcomes.

Trust acts as an accelerator in commerce, reducing friction and enabling decisions at “warp speed.”

Economic foundation models can forecast deal outcomes and market shifts by observing patterns across organizations.

AI should remove internal friction so humans can focus on value creation, not administrative workflows.

The future of work depends on combining contextual intelligence with trusted human networks.

Quotes

“To the man with a hammer, the world looks like a nail.”

“You’re not modeling words — you’re modeling a system.”

“If I don’t understand the context, I can’t understand the outcome.”

“Trust enables transactions at warp speed.”

“Most AI today is predicting the next best word — not the next best decision.”

“The friction to leverage your own network is far too high.”

Chapters

00:01 Introduction and Stephen’s Entrepreneurial Journey

00:40 Founding Collective[i] and the Vision Behind It

02:22 Replacing the Traditional Sales Stack with Contextual AI

05:46 Why Context Matters More Than Prompt Engineering

09:18 Systems of Record vs. Systems of Understanding

16:01 The Limits of LinkedIn and Relationship Context

23:24 Introducing Intelligence.com and Verified Networks

36:39 The Origins of Collective Intelligence and Economic Modeling

48:20 Trust Networks, Hiring, and Weak Ties

55:52 Forecast Series and the Power of Long-Form Dialogue

1:00:58 Closing Thoughts and What’s Next

Stephen Messer: https://www.linkedin.com/in/stephenmesser

Collective[i]: https://collectivei.com/

Intelligence.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

Bob sits down with Dave Vu, Co-founder of Ribbon, to explore how AI is reshaping high-volume hiring and the candidate experience. Drawing on his background in recruiting, venture capital, and scaling AI startups, Dave shares why the hiring funnel is breaking under application volume—and how AI interviews can help close the gap. They discuss human-in-the-loop design, responsible AI, regulatory trends, bias mitigation, and why transparency and feedback are critical to building trust in the future of work.

Keywords

Dave Vu, Ribbon.ai, AI interviews, high-volume hiring, candidate experience, responsible AI, human-in-the-loop, talent acquisition, hiring automation, bias mitigation, AI regulation, recruiter efficiency, quality of hire, generative AI

Takeaways

Application volume has grown exponentially while recruiter headcount has remained relatively flat, creating a widening efficiency gap.

AI interviews can reduce screening time by 50% or more while improving consistency and fairness.

Candidate experience improves when applicants receive timely engagement, flexibility, and meaningful feedback.

Human-in-the-loop design ensures AI handles repetitive tasks while recruiters retain decision-making authority.

Transparency about AI usage builds trust and increases candidate adoption.

Regulatory clarity will accelerate enterprise adoption of AI in hiring.

Responsible AI implementation requires balancing innovation with bias mitigation and compliance guardrails.

Generative AI advancements are reshaping not only hiring, but content creation and digital trust more broadly.

Quotes

“Our long-term mission is to hire within 24 hours and make hiring faster and fairer.”

“Human-centricity doesn’t equate to anti-automation.”

“The recruiter and hiring manager are always in the driver’s seat.”

“It’s not about replacing humans—it’s about amplifying their capacity.”

“Great candidate experience comes down to respect for their time.”

“Regulations create certainty—and certainty accelerates adoption.”

Chapters

00:02 Introduction and Dave’s career journey in talent

02:55 Scaling an AI startup and identifying hiring challenges

05:02 The high-volume hiring problem and Ribbon’s mission

10:40 Designing a better candidate experience with AI

15:16 Rethinking resumes and screening inefficiencies

22:41 Human-in-the-loop and responsible AI principles

24:40 Regulation, transparency, and enterprise adoption

28:57 Candidate acceptance and AI interview adoption trends

34:28 Integration with ATS platforms and workflow evolution

43:01 Personal reflections on generative AI and digital trust

49:29 AI literacy, workforce disruption, and the future of hiring

Dave Vu: https://www.linkedin.com/in/dave-vu

Ribbon: https://ribbon.ai

For advisory work and marketing inquiries:

Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠

Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠

Substack: ⁠https://elevateyouraiq.substack.com⁠

Bob Pulver is joined by Tim Borys, a leader who wears many hats across executive coaching, workplace wellbeing, entrepreneurship, and podcasting. Drawing on Tim’s journey from elite athletics to advising leaders and organizations, the conversation explores sustainable human performance, burnout, adaptability, and leadership in times of constant change. Together, Bob and Tim examine why human-centric thinking is more critical than ever as AI reshapes work—and how individuals and organizations can thrive without losing sight of wellbeing, purpose, and agency.

Keywords

Tim Borys, Fresh Group, workplace wellbeing, human performance, burnout, executive coaching, leadership, adaptability, AI and work, human-centric AI, WRKdefined Podcast Network, Elevate Your AIQ

Takeaways

Sustainable performance requires focusing on human fundamentals like rest, recovery, and mindset

High-performing corporate cultures often neglect wellbeing until burnout occurs

Adaptability and learning are the most critical skills for thriving amid AI-driven change

Leadership and communication skills will be essential for managing both people and AI agents

Human performance, leadership, and business strategy must be addressed together

AI should augment—not replace—human agency and critical thinking

Quotes

“Corporate high performers seem to think the rules of human performance don’t apply to them.”

“Work sucks for a lot of people—and it doesn’t have to.”

“Every human has a human operating system, and most people never optimize it.”

“Adaptability is the number one human skill for thriving.”

“As technology becomes more powerful, the human side matters even more.”

Chapters

00:02 Welcome and introduction

00:43 Tim’s journey from elite athletics to executive coaching

02:39 Applying human performance principles to corporate work

04:32 Burnout, sleep, and sustainable performance

07:22 Human potential and wellbeing at work

09:05 The human operating system

12:06 Human-centric AI and the cost of efficiency

14:12 Adaptability, learning, and future skills

18:06 Fear, uncertainty, and career resilience

23:10 Leadership skills for managing AI agents

29:49 Performance-managing AI and responsible use

36:29 Frontline leaders vs. executive perspectives

43:52 Mindset, perception, and human agency

47:27 Personal AI tools and experimentation

51:30 The Working Well podcast and closing

Tim Borys: https://timborys.com/

Working Well podcast: https://wrkdefined.com/podcast/the-working-well-podcast

For advisory work and marketing inquiries:

Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠

Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠

Substack: ⁠https://elevateyouraiq.substack.com⁠

Bob Pulver welcomes Lance Thompson, President of VIVI, a hospitality-focused AI company formerly known as SAVI. Lance shares his journey from luxury hospitality to tech entrepreneurship, highlighting how VIVI is bringing human-centered design to voice AI. They discuss the evolution of guest experiences, the importance of multilingual support, and how AI is being responsibly deployed to reduce friction for both guests and staff. From room service to HR to golf tee times, VIVI’s solutions demonstrate what happens when deep hospitality know-how meets cutting-edge AI.

Keywords

Lance Thompson, VIVI, SAVI, hospitality tech, voice AI, multilingual support, hotel operations, HR automation, guest experience, AI adoption, Microsoft Azure, Kinetic Solutions Group, Four Seasons, Vail Resorts, Aspen Hospitality, AI in travel, shadow AI, responsible AI, agentic search, reservations automation, guest personalization

Takeaways

Lance's career spans luxury hospitality, including Four Seasons and Vail Resorts, before shifting into tech with the founding of SAVI, now VIVI

VIVI is leveraging AI voice agents to support hotel operations, from answering phones to making reservations and handling HR inquiries

Multilingual capabilities are critical in hospitality; VIVI agents can fluently switch between languages in real time

Lance emphasizes the importance of consistency in service delivery — AI can ensure high-quality, brand-aligned experiences across time zones and locations

Unlike traditional decision-tree systems, VIVI’s tools rely on conversational AI that listens, adapts, and can be interrupted mid-sentence

Shadow AI poses risks for companies — Lance urges leaders to develop clear internal policies for responsible use and governance

VIVI's architecture is designed with data privacy and security in mind, with each client having its own isolated knowledge base

The future of hospitality AI lies in scalable, personalized tools that blend human empathy with machine precision

Quotes

“I wanted to be in a space where I could help people have a better experience in life — and hospitality gave me that.”

“If it can’t be interrupted, it’s not a conversation. And that’s what real guest service is about.”

“We don’t want to replace Janet in Reservations — we want to scale her.”

“Guests don’t want a link. They want an answer — fast, accurate, and in their language.”

“People aren’t afraid of AI. They’re asking when they can start using it to be more effective at their jobs.”

“We’re not building a static product. As the models improve, our tools do too.”

Chapters

00:00 - Intro and background from Carmel to Colorado

02:47 - Lance’s early passion for hospitality

05:09 - Discovering the limits of legacy systems

07:10 - The spark behind founding SAVI (now VIVI)

08:48 - Early demos, use cases, and multilingual potential

11:36 - Why real conversational AI matters

14:59 - Shadow AI and responsible adoption

17:54 - Building secure, client-specific AI agents

23:33 - Creating community through consistent service

26:39 - Managing real-time updates and seasonal accuracy

29:39 - Rethinking apps and improving discoverability

32:19 - The magic of humanlike conversations

36:02 - Delivering 5-star experiences through AI

39:30 - Personalizing brand voice (yes, even “absolutely”)

41:09 - Customizing user experience in real-time

43:03 - Transparency, trust, and guest empowerment

46:25 - What’s next for VIVI and hospitality AI

48:00 - Expanding into HR, golf, and reconciliation tools

51:06 - The travel planning use case

53:19 - New challenges in AI-driven SEO

53:23 - Final reflections and what’s ahead

Lance Thompson: https://www.linkedin.com/in/lance-thompson-92a5476

VIVI: http://www.vivi.bot/

For advisory work and marketing inquiries:

Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠

Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠

Substack: ⁠https://elevateyouraiq.substack.com⁠

In this insightful and forward-looking conversation, Bob Pulver speaks with Adam Gordon, co-founder and CEO of Poetry, about the rise of hiring enablement and how AI can be used to create consistency, speed, and scalability in talent acquisition. Adam reflects on his entrepreneurial journey from Candidate.ID to Poetry, unpacks the MOLT framework (Marketing, Operations, Learning, Tools), and explains how Poetry integrates AI to support recruiters and hiring managers with streamlined processes and guardrails to ensure quality and compliance. They also explore deeper workforce challenges like trust, burnout, and AI’s societal impact—especially in the context of shrinking employee tenure and the future of work.

Keywords

Adam Gordon, Poetry, hiring enablement, recruiter enablement, AI agents, MOLT framework, Candidate.ID, talent acquisition, recruiter productivity, ATS integration, AI guardrails, employer brand, candidate experience, AI governance, trust in leadership, DEI, burnout, workforce automation, staffing industry, responsible AI, talent intelligence

Takeaways

Adam Gordon’s journey from recruiting to tech entrepreneurship has been shaped by the need to empower recruiters with better tools and processes.

Poetry was created as a hiring enablement workspace to reduce reliance on fragmented point solutions and to streamline recruiter workflows.

The MOLT framework (Marketing, Operations, Learning, Tools) organizes recruiter needs in a way that supports end-to-end hiring activity.

Poetry emphasizes product design simplicity and consistency, integrating AI without exposing users to the risks of hallucination or inconsistent prompts.

Recruiters using Poetry can save up to 25% of their time per day, but there's concern about how organizations reinvest those gains.

Guardrails are built into Poetry to ensure a consistent employer brand, tone, and candidate experience—especially important given drops in organizational trust.

The move from “recruiter enablement” to “hiring enablement” reflects how recruiters and hiring managers must work together in today’s TA ecosystems.

A new Poetry workspace tailored for staffing companies is set to launch in Q2 2026, signaling the platform’s evolution and market expansion.

Quotes

“Recruiting is a team sport.”

“We’ve put such strong guardrails in place, it’s not possible for Poetry to hallucinate.”

“We wanted to eliminate recruiters having to log into 30 different tools to do their job.”

“I’ve described it as an age of employment brutality—CEOs don’t want more people on payroll.”

“The trust barometer is dropping, and without trust, the candidate experience and employer brand collapse.”

“Just because you can build something doesn’t mean you’ve built a technology company.”

Chapters

00:00 - Introduction and Adam’s Background

01:17 - From Social Media Search to Candidate.ID

05:32 - The Vision Behind Poetry

07:27 - Simplicity, Product Design, and AI Agents

09:16 - MOLT: Marketing, Operations, Learning, Tools

11:16 - ATS Integration and 25% Time Savings

14:05 - The Reinvestment Dilemma

18:34 - Talent Intelligence and Bite-Sized Research

22:01 - Guardrails Over Free Prompting

24:51 - Mitigating Risk and Ensuring Consistency

29:58 - From Recruiter to Hiring Enablement

33:40 - Empowering Employer Brand and Talent Attraction

37:50 - The Importance of Trust and Communication

43:25 - Turnover, Tenure, and the Workforce Equation

49:22 - Responsible AI and Societal Impact

54:35 - Creative AI Tools and Industry Disruption

56:44 - Building a Scalable Tech Company

59:46 - 2026 Preview: Poetry for Staffing Companies

Adam Gordon: https://www.linkedin.com/in/adamwgordon/

Poetry: https://www.poetryhr.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

Bob Pulver talks with Vijay Swami, Co-Founder and CEO of Draup, a global leader in AI-powered talent intelligence. Vijay shares his journey from early roles in call center forecasting to founding a management consultancy and then TalentNeuron, later acquired by CEB. With deep roots in data science and a vision for empowering internal analytics teams, Vijay built Draup to tackle labor market complexity using advanced AI, unstructured data, and rich taxonomies. Vijay and Bob discuss building trusted, AI-powered talent intelligence platforms that bridge data complexity and business decision-making, and how human-centric, explainable AI is reshaping strategic workforce planning. They cover the growing importance of verification skills, ethical AI practices, the future of people analytics, the architecture of trusted and explainable AI systems, and the evolving role of humans and agents in enterprise workflows.

Keywords

Vijay Swami, Draup, AI in HR, People Analytics, Strategic Workforce Planning, verification skills, ethical AI, talent intelligence, agentic AI, skills-based hiring, cloud data, explainability, trust, synthetic data, digital twins, ETTER, Curie, job displacement, augmented intelligence, transparency

Takeaways

AI's value in HR lies in sense-making from complex and unstructured data, not just simplifying workflows.

Verification skills—like content and narrative validation—are emerging as critical in a world flooded with AI-generated data.

Draup’s AI agent Curie supports HR and analytics professionals with leadership-ready narratives and scenario planning.

The platform's ETTER model goes beyond job descriptions to assess real work through contracts, SLAs, and KPIs.

Transparency and traceability are foundational to building trust in AI systems; Draup compares its models against industry benchmarks.

Ethical AI practices include open documentation, interpretability, and empowering analysts to correct or clarify information.

AI should not be viewed solely as a job killer; clear, specific skills definitions in job postings can increase hiring and help target investments.

True transformation requires shifting from jobs to workflows and task orchestration, blending human effort, AI agents, and automation.

Quotes

“We want to tell the story—not just show the data—to help people analytics become a leadership engine.”

“Verification skills are the next battery of capabilities organizations must build for a trustworthy enterprise.”

“Transparency is about giving customers the right to know—even if they don’t ask.”

“HR has the opportunity to become heroes in this AI wave by unlocking the true nature of work.”

“We should be therapists for data anxiety—helping organizations see what’s real versus what’s a myth.”

“I’m a net AI job creator guy—because there’s no shortage of work, just a need to match skills and workflows more intelligently.”

Chapters

00:05 - Introduction and Vijay’s background

00:57 - From forecasting analyst to AI-powered platforms

03:18 - Rethinking labor intelligence beyond job descriptions

05:39 - Building a sense-making engine from complex data

07:42 - Storytelling, context, and executive alignment

11:15 - The rise of verification skills

14:04 - Creating a trusted and transparent AI ecosystem

19:31 - Unlocking the true nature of work through ETTER

22:44 - Ethical AI and human-centric design

32:19 - How data becomes a therapeutic tool

35:14 - AI’s real impact on jobs and skills demand

45:25 - Strategic work planning beyond job roles

49:19 - Optimism, augmentation, and future-proofing teams

50:34 - Closing thoughts and appreciation

Vijay Swami: https://www.linkedin.com/in/vijay-swaminathan-a44101/

Draup: https://draup.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

In this milestone 100th episode, host Bob Pulver reflects on the journey of Elevate Your AIQ, sharing why he started the podcast, what he's learned from nearly 100 conversations, and what’s ahead for the show and its community. He revisits recurring themes such as AI literacy, responsible innovation, and human-centric transformation—connecting them to his personal experiences, professional background, and passion for empowering others. This solo conversation is both a look back and a call to action for individuals and organizations to embrace AI thoughtfully and elevate their AIQ together.

Keywords

AIQ, AI literacy, responsible AI, human-centric design, talent transformation, skills-based hiring, human potential, CHRO of the future, work redesign, education reform, podcasting, Substack, transformation leaders, automation strategy, AI readiness, AI ethics, trust, transparency, fairness, lifelong learning, community, AI-powered workforce

Takeaways

Podcasting is a powerful outlet for exploring curiosity, storytelling, and continuous learning—especially for neurodivergent thinkers.

Human-centric AI readiness is not just about tools or tech—it’s about mindset, adaptability, and lifelong learning.

AIQ exists on three levels: individual, team, and organizational—each requiring a blend of skills, tools, and ethical judgment.

Responsible AI is central to modern transformation—touching on transparency, fairness, ethics, and explainability.

CHROs and people leaders have dual responsibilities as strategic architects of work and catalysts for responsible innovation.

Hiring for skills and potential—rather than pedigree—is crucial to unlocking hidden talent and countering bias.

Education and talent development must evolve to equip students and workers with the durable skills of the AI-powered future.

Communities of practice and peer generosity are vital to collective learning and resilience in this era of rapid change.

Quotes

“Use AI where you should, not wherever you can.”

“We’ve always adapted to new technologies—this time is no different.”

“Human-centricity and human potential are key overarching themes of this show, and of the future of work.”

“AIQ isn’t just about literacy—it’s about readiness, judgment, and mindset.”

“If you are a DEI advocate, you are now a responsible AI advocate.”

“You can control your own destiny—you’re capable of more than you think.”

Chapters

00:00 Welcome and Gratitude for Episode 100

00:50 Human-Centric AI and the Purpose of the Show

02:32 Authenticity, Creativity, and Focus

04:35 My Background: Corporate to Independent

07:18 Early Exposure to AI at IBM and Personal Stakes

09:55 Start with Processes and Business Challenges, Not Tech

11:48 Three Levels of AIQ: Individual, Team, Org

13:45 Beyond Prompting: Augmenting Capabilities

15:20 Responsible AI: Use and Design

17:30 The Role of Trust, Transparency, and Fairness

19:50 DEI and Responsible AI Are Inseparable

21:10 Skills-Based Hiring and Hidden Potential

23:00 Designing Work for Human + AI Partnership

25:40 Lifelong Learning and the Future of Education

27:20 CHROs as Architects and Innovation Catalysts

29:30 Offense and Defense in Responsible Innovation

31:00 A Call to Action for Listeners and the Community

32:10 What’s Next: Live Shows, Events, Writing, and Community

33:20 Closing Gratitude and Future Outlook

For advisory work and marketing inquiries:

Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠

Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠

Substack: ⁠https://elevateyouraiq.substack.com⁠

Bob Pulver sits down with Ross Dawson, world-renowned futurist, serial entrepreneur, and creator of the Humans + AI community. With decades of foresight expertise, Ross shares his evolving vision of human-AI collaboration — from systems-level transformation to individual cognitive augmentation. The conversation explores why organizations must reframe their approach to talent, capability, and value creation in the age of AI, and how human agency, trust, and fluid talent models will define the future of work.

Keywords

Ross Dawson, Humans + AI, AI roadmap, ThoughtWeaver, AI teaming, digital twins, augmented thinking, talent marketplaces, future of work, systems thinking, AI in organizations, AI in education, trust in AI, AI-enabled teams, cognitive diversity, latent talent, fluid talent, organizational design

Takeaways

The “Humans + AI” framework centers on complementarity, not substitution — AI should augment and elevate human potential.

AI maturity is not just technical — it requires cultural readiness, mindset shifts, and systems-level thinking.

Trust in AI must be calibrated; both over-trusting and under-trusting limit value creation.

AI-enabled teams will rely on clear role design, thoughtful delegation of decision rights, and frameworks for collaborative intelligence.

Digital twins and AI agents offer different organizational advantages — one mimics individuals, the other scales domain expertise.

Organizations must reimagine work as networks of capabilities, not boxes of job descriptions.

Talent marketplaces are an early expression of fluid workforce models but require intentional design and leadership buy-in.

The most human-centric organizations will be best positioned to attract talent and thrive in the AI era.

Quotes

“AI should always be a complement to humans — not a substitute.”

“We live in a humans + AI world already. The question is how we shape it.”

“Mindset really frames how much value we can get from AI — individually and societally.”

“You know more than you can tell. That gap between tacit knowledge and what AI can access is where humans still shine.”

“Start with a vision — not a headcount reduction. Ask what kind of organization you want to become.”

“We can use AI not just to apply existing capabilities but to uncover and expand them.”

Chapters

00:00 - Welcome and Ross Dawson’s introduction

01:10 - From futurism to Humans + AI: key focus areas

03:30 - How AI is shifting public curiosity and mindset

06:00 - Systems-level thinking and responsible AI use

08:20 - AI in education and enterprise transformation

11:10 - The rise of AI-augmented thinking

14:00 - Calibrating trust in AI and human roles in teams

17:00 - Designing humans + AI teaming frameworks

20:30 - Delegation models and decision architecture

23:20 - Digital twins vs synthetic AI agents

26:00 - The value of tacit knowledge and cognitive diversity

30:00 - Empowering individuals amidst career uncertainty

32:10 - Breaking out of job “boxes” with fluid talent models

35:00 - Talent marketplaces and barriers to adoption

38:00 - Human-centric leadership in AI-powered transformation

41:00 - Strategic roadmaps and vision-led change

45:30 - Ross’s personal AI tools and experiments

52:00 - Final thoughts on AI’s role in augmenting human creativity

Ross Dawson: https://www.linkedin.com/in/futuristkeynotespeaker

Humans + AI: https://humansplus.ai

For advisory work and marketing inquiries:

Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠

Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠

Substack: ⁠https://elevateyouraiq.substack.com⁠

Bob Pulver speaks with Jeff Riley, former Massachusetts Commissioner of Education and Executive Director of Day of AI, a nonprofit launched out of MIT. They explore the urgent need for AI literacy in K-12 education, the responsibilities of educators, parents, and policymakers in the AI era, and how Day of AI is building tools, curricula, and experiences that empower students to engage with AI critically and creatively. Jeff shares both inspiring examples and sobering warnings about the risks and rewards of AI in the hands of the next generation.

Keywords

Day of AI, MIT RAISE, responsible AI, AI literacy, K-12 education, student privacy, AI companions, Common Sense Media, AI policy, AI ethics, educational technology, AI curriculum, teacher training, creativity, critical thinking, digital natives, student agency, future of education, AI and the arts, cognitive offloading, generative AI, AI hallucinations, PISA 2029, AI festival

Takeaways

Day of AI is equipping teachers, students, and families with tools and curricula to understand and use AI safely, ethically, and productively.

AI literacy must start early and span disciplines; it’s not just for coders or computer science classes.

Students are already interacting with AI — often without adults realizing it — including the widespread use of AI companions.

A core focus of Day of AI is helping students develop a healthy skepticism of AI tools, rather than blind trust.

Writing, critical thinking, and domain knowledge are essential guardrails as students begin to use AI more frequently.

The AI Festival and student policy simulation initiatives give youth a voice in shaping the future of AI governance.

AI presents real risks — from bias and hallucinations to cognitive offloading and emotional detachment — especially for children.

Higher education and vocational programs are beginning to respond to AI, but many are still behind the curve.

Quotes

“AI is more powerful than a car — and yet we’re throwing the keys to our kids without requiring any kind of driver’s ed.”

“We want kids to be skeptical and savvy — not just passive consumers of AI.”

“Students are already using AI companions, but most parents have no idea. That gap in awareness is dangerous.”

“Writing is thinking. If we outsource writing, we risk outsourcing thought itself.”

“The U.S. invented AI — but we risk falling behind on AI literacy if we don’t act now.”

“Our goal isn’t to scare people. It’s to prepare them — and let young people lead where they’re ready.”

Chapters

00:00 - Welcome and Introduction to Jeff Riley

01:11 - From Commissioner to Day of AI

02:52 - MIT Partnership and the Day of AI Mission

04:13 - Global Reach and the Need for AI Literacy

06:37 - Resources and Curriculum for Educators

08:18 - Defining Responsible AI for Kids and Schools

11:00 - AI Companions and the Parent Awareness Gap

13:51 - Critical Thinking and Cognitive Offloading

16:30 - Student Data Privacy and Vendor Scrutiny

21:03 - Encouraging Creativity and the Arts with AI

24:28 - PISA’s New AI Literacy Test and National Readiness

30:45 - Staying Human in the Age of AI

34:32 - Higher Ed’s Slow Adoption of AI Literacy

39:22 - Surfing the AI Wave: Teacher Buy-In First

42:35 - Student Voice in AI Policy

46:24 - The Ethics of AI Use in Interviews and Assessments

53:25 - Creativity, No-Code Tools, and Future Skills

55:18 - Final Thoughts and Festival Info

Jeff Riley: https://www.linkedin.com/in/jeffrey-c-riley-a110608b

Day of AI: https://dayofai.org

For advisory work and marketing inquiries:

Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠

Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠

Substack: ⁠https://elevateyouraiq.substack.com⁠