The Meg and Amy Show

🚀 Two years in, and Amy and Meg bring the data. GLP-1 results, body composition breakthroughs, the metabolic reframe no one told them about — and the leadership question hiding inside every health conversation: are you building a life you don’t need to take breaks from, or just managing to survive the one you’re in?

⏰ TIMESTAMPS:

00:00 Introduction

01:59 Announcements: Textio Board & HR Tech 1000

8:42 Health Journey: Year-Two Check-In

11:32 GLP-1 — What Actually Changed

22:32 Body Composition Results & The Cost Question

28:18 Community, Trust & Staying the Course

31:20 Leadership Corner: How Much Should I Care?

39:27 Energy Systems & Sleep as a Leadership Metric

45:32 Closing Thoughts & Patty Azzarello’s Question

🔑 KEY INSIGHTS:

- GLP-1 didn’t just drive weight loss — it unlocked the performance Amy had been building toward for two years. The drug and the habits compound; neither works as well alone.

- For women, hormonal reality means “cut calories and work out” often doesn’t produce the results it promises men. GLP-1 can level the metabolic playing field.

- Sleep is Meg’s #1 performance input — above exercise, body fat, or any other metric. When cognitive fitness goes, everything else follows.

- The people who celebrate you when things are good (not just support you when things are hard) are the ones worth keeping close. Community isn’t optional on a health journey — it’s infrastructure.

- Self-care isn’t what you do on vacation. It’s building a life you don’t need to take breaks from — one decision, one habit, one honest conversation at a time.

📚 RESOURCES:

Weightless by Dr. Rocio Salas-Whalen (the GLP-1 protocol book Meg references): https://weightlessthebook.com/

Why Is SHE Still Here? by Patty Azzarello (the memoir with the question Meg had to write down): https://pattyazzarello.com/books/

Remedy Meds (Amy’s GLP-1 source — online, out-of-pocket, $299/month): https://remedymeds.com/

🔗 CONNECT:

Meg Bear: https://www.linkedin.com/in/megbear/ | https://megbear.com

Amy Wilson: https://www.linkedin.com/in/amy-wilson-insight/

Instagram: https://www.instagram.com/megandamyshow/

LinkedIn: https://www.linkedin.com/company/the-meg-amy-show

YouTube: https://www.youtube.com/@TheMegandAmyShow

#GLP1 #WomensHealth #HealthJourney #WeightLossJourney #Biohacking #HealthyLiving #Leadership #Burnout #MegAndAmyShow

🚀 Laurie Ruettimann has been saying the things HR won't say for twenty years — and she's starting to wonder if any of it worked. In this conversation, she argues that most advice is projection, financial freedom is the foundation of authenticity rather than a brand strategy, and AI isn't what's making work unbearable. She also gets emotional on mic. And tells us about the thank-you notes she wrote after putting her cat down.

⏰ TIMESTAMPS:

00:00 Introduction — Laurie Ruettimann

04:33 Inventing a life you can actually control

11:19 Financial freedom, overwork, and detachment at work

16:54 Reading outside your industry and the empathy gap

25:41 Personal brand, haters, and authenticity as a class issue

36:57 The honest question: has this work been worth it?

44:28 AI anxiety vs. what's really making work hard

49:59 The Roxy letters — why people keep showing up

52:01 Leadership Corner: restructuring, lesser roles, and severance

🔑 KEY INSIGHTS:

- Most advice is projection. When Laurie sits with clients now, she rarely gives advice — she witnesses. And she tells them what they actually need to hear: "It's not you. You're not broken. The system is broken."

- Financial freedom isn't a brand strategy — it's a precondition. You can't be authentic when you're still paying student loans. "Be yourself" only lands once you can afford to leave.

- Career advice was built for whoever got into power first. Most of it doesn't work the same for women or people of color — because it reflects the tactics of a cohort that was mostly male.

- The number one thing working parents worry about isn't AI. It's the cost of childcare. Blaming AI for workplace anxiety misses the structural problems that were already there.

- The secret to being a more empathetic leader isn't a leadership course. It's reading outside your industry — geopolitics, historical fiction, stories from contexts nothing like your own.

📚 RESOURCES:

Betting on You by Laurie Ruettimann: https://laurieruettimann.com/books/betting-on-you/

Incorruptible by Eric Ries: https://www.incorruptible.co/

🔗 CONNECT:

Laurie Ruettimann: https://www.linkedin.com/in/laurieruettimann/

Meg Bear: https://www.linkedin.com/in/megbear/ | https://megbear.com

Amy Wilson: https://www.linkedin.com/in/amy-wilson-insight/

Instagram: https://www.instagram.com/megandamyshow/

LinkedIn: https://www.linkedin.com/company/the-meg-amy-show

YouTube: https://www.youtube.com/@TheMegandAmyShow

#CareerAdvice #FinancialFreedom #WorkplaceTruths #Leadership #HRLeadership #CareerDevelopment #WomenInWork #AuthenticLeadership #MegAndAmyShow

🚀 Jess Von Bank has spent 20+ years on every side of the HR tech problem — vendor, buyer, analyst, practitioner. She co-founded Now to Next to close the distance between an AI strategy and human outcomes, and she's writing her way through it publicly with the Human Thesis, a seven-part Substack series, and her forthcoming book Work Like a Mother. In this conversation, Jess makes the case that most organizations are running AI adoption programs when what they need is embodiment — and those are not the same thing. Handing out licenses, counting logins, and calling it transformation is a procurement decision. Embodiment is when someone in a call center starts imagining the insurance products she could build from the data AI just unlocked. The gap between those two conversations is the gap between cutting costs and finding new markets.

⏰ Timestamps:

00:25 Guest Introduction: Jess Von Bank

01:24 Racing, Ragnar and Finding Your Amy

05:14 Founding Now to Next: No Old Answers

08:52 Why AI Transformation Keeps Failing

14:50 What Is Different About This Transformation Cycle

16:04 Automation vs Reinvention: The Hands, Heads and Hearts Framework

17:43 Where AI Goes Wrong in Talent Acquisition

21:36 Hiring Without Job Descriptions: A First Principles Experiment

24:23 Adoption Is a Procurement Decision: Defining Embodiment

27:18 From 5% to 30% Improvement: The Telecom Case Study

30:35 Too Much Choice and the Danger of Scattershot AI Rollouts

31:54 Paving the Path: Change Leadership and Cognitive Dissonance

34:14 Change Is the Strategy: Reframing Change Fatigue

37:21 Workforce Representation in AI Decisions

39:18 Human Gaps Are Transformation Gaps: Diagnosing the Wounds of Change

43:00 Skeptics, Pragmatists and Power Users: No Winners and Losers

44:25 Retaining Work Experts Over Tool Experts

47:12 Workshop Story: Innovation vs Substitution in a Call Centre

49:03 Writing, Storytelling and The Human Thesis Substack

51:58 Dear Daughters: Ten Years of Private Journals

54:34 Training Claude on Her Voice: The One Rule She Never Breaks

55:46 Work Like a Mother: The Book

59:56 Leadership Corner: Should I Take the Stretch Role?

⭐ In this episode:

- The adoption vs. embodiment distinction — why your ROI is missing and what actually closes the gap.

- The hands, heads, hearts framework for sorting work: what AI should own entirely, what it should augment, and where you need to create more human capacity, not less.

- Why "failure fatigue" is the real diagnosis behind what most leaders are calling change resistance — and what changefulness (adaptability as a default state, not a crisis response) looks like inside an organization that has actually built for it.

- The five wounds of change your AI rollout is landing on whether you're tracking them or not: fear of replacement, loss of mastery, decision fatigue, trust erosion, and identity disruption.

- Amy's take on the highest-stakes paradox of this moment — outsourcing your imagination to the very tool you're trying to imagine with.

- And the one rule Jess gave Claude when she trained it on her voice, and what happened the day she asked it to break it.

Jess Von Bank joins hosts Meg Bear and Amy Wilson for Episode 50. If you're leading an AI transformation and measuring success by adoption rates, this episode names what's actually in the way — and what it looks like when an organization builds for changefulness instead.

#AITransformation #ChangeManagement #HRTech #WorkforceTransformation #Leadership #MegAndAmyShow

🚀 AI didn't add a new chapter to the software story — it restarted the book at page one. In this solo episode, Meg and Amy explain why that makes sensemaking the scarce skill right now, who earns the role that survives every era of disruption, and what it actually looks like to stop waiting and build.

🔑 IN THIS EPISODE:

- The agentic HR moment: NovaWorks and SOL just came out of stealth — two agentic HCM platforms,  both founded by women Meg and Amy know and have worked with. Meg (a NovaWorks board member) and  Amy (whose former Workday colleagues founded SOL) make the case for why this moment is architecturally necessary, not just exciting: current HR systems were built on the assumption that work structure is static. That assumption is now wrong, and no amount of configuration fixes it.

- Meg's EDS theory: how Ross Perot predicted today's AI moment, and why we're back where it all started

- The leadership gap: "ready-fire aim" rollouts, mass dysregulation, and why  sensemaking is the missing piece

- The Golden Job: the translator who bridges what work used to look like and what's now possible — and why sensemaking is the missing ingredient

- Personal vs. enterprise token strategy: Amy's two-gear system (Pro vs. Max  5x, CoWork vs. Code, Ethan Mollick's "spikiness") + Meg's enterprise framework — 3 buckets, 80% margins going to 50-60% or upside down

- Leadership Corner: a PM who thought he needed a new job — turns out he needed to start building

⏰ TIMESTAMPS:

00:36 Welcome + agentic HR: NovaWorks and SOL out of stealth

04:17 Meg's EDS theory: AI restarted the software lifecycle

15:23 Sensemaking: the leadership gap hiding in plain sight

22:33 The Golden Job — the translator IS the sensemaker

26:40 Amy's personal token strategy

36:48 Meg's enterprise token strategy (embedded hot take)

47:04 Leadership Corner: "He thought he had a job problem"

58:35 Closing Thoughts

📚 LINKS FROM THIS EPISODE:

▸ Meg's newsletter Issue 21, "Coming of Age" — https://www.linkedin.com/pulse/meg-amy-show-newsletter-issue-21-the-meg-amy-show-dgghc/?trackingId=nPX2o4GahAvkl5vguIYJtg%3D%3D

▸ Amy's article: "A Love Letter to Product Managers: This Is Your Moment Don't Blow It" — https://www.linkedin.com/pulse/love-letter-product-managers-your-moment-dont-blow-amy-wilson-f2mqc/

▸ NovaWorks (Kelley Steven-Waiss, CEO) — https://novaworks.ai

▸ Sol (Erin Yang, CPO/COO + founding team) — https://www.meetsol.com/

▸ Ep 47 — David Blake (naps and nervous system regulation) — https://youtu.be/GGO-Ggr4yOQ

🔗 CONNECT WITH US:

📸 Instagram: https://www.instagram.com/megandamyshow/

💼 LinkedIn: https://www.linkedin.com/company/the-meg-amy-show

https://www.linkedin.com/in/megbear/

https://www.linkedin.com/in/amy-wilson-insight/

🚀 You're Not Unmoored. You're Unchained. | Nick Mehta on identity, reinvention, and the AI reckoning hitting every SaaS company. After stepping down as Gainsight CEO, Nick joins Meg & Amy to reframe what comes after the title ends — and breaks down forward deployed engineers, "token maxing," and why AI-native startups generate 10x the revenue per employee.

⏰ TIMESTAMPS:

00:00 Cold open: unmoored vs. unchained

01:25 Nick's mom, arm wrestling, and the immigrant-parent comparison trap

04:57 Why he stepped down as Gainsight CEO after 13 years

08:43 Handing off well: the "Project Washington" succession plan

11:27 Feeling unmoored by AI vs. feeling unchained

17:24 Why the SaaS CEO has the hardest job in tech right now

23:37 The New Work Foundation and Gen Z's future of work

27:09 Amy's contrarian take: why it's good for kids to reject AI

31:52 Forward deployed engineers and the new customer success

39:00 "Token maxing," the CFO reckoning, and AI's real economics

44:13 Leadership Corner: stay, jump to an AI startup, or downshift?

🔑 KEY INSIGHTS:

- Every leader has a shelf life — treat succession as a structural inevitability, not a personal failure.

- "Unmoored vs. unchained": the same upheaval can be two opposite stories. The work is getting to the unchained side.

- Low valuations create transformation freedom — when there's less to lose, it's easier to reinvent.

- Forward deployed engineers are customer success rebuilt for AI — and consumption pricing finally aligns the vendor's incentives with yours.

- "Token maxing" was the hot-dog-eating contest; the CFO reckoning is the hangover. AI in the enterprise has to be a business case, not a tech demo.

📚 RESOURCES:

The Trevor Project (our Pride Month dedication — please consider donating): https://give.thetrevorproject.org/campaign/797408/donate

New Work Foundation (Nick + Clara Shih): https://www.newworkfoundation.com/

Larridin: https://larridin.com/

Ben Horowitz, "Nobody Cares" (a16z): https://a16z.com/nobody-cares/

"Chop Wood, Carry Water" by Joshua Medcalf (h/t Doug Merritt): https://www.amazon.com/Chop-Wood-Carry-Water-Becoming/dp/153698440X

🔗 CONNECT:Nick Mehta: https://www.linkedin.com/in/nickmehtaInstagram: https://www.instagram.com/megandamyshow/LinkedIn: https://www.linkedin.com/company/the-meg-amy-show

#AILeadership #AITransformation #CustomerSuccess #SaaS #FutureOfWork #ForwardDeployedEngineers #Leadership #MegAndAmyShow

🚀 The AI rush of 2025 didn't move the skills agenda forward — it stalled it. That's the contrarian read from the founder of Degreed, the company built to make skills the currency of the workforce.

David Blake walks us through why he thinks 2026 is the most important year of your career, what leader-led learning looks like when agents can actually run it for managers who were never trained to teach, and why he survives the SaaSpocalypse by remembering Degreed has always been an education company — not a software company. Plus the disarming answer to how he's run this thing for 14 years: naps.

David is the co-founder and CEO of Degreed, the learning and skills platform he started in 2012 with a mission to "jailbreak the degree" — recognize the skill, not the credential. He's the co-author of The Expertise Economy and the co-creator of the Skills Quotient framework. He recently opened the Top of the Hill All Girls Secondary School in Kenya with Mary Murimi.

⏰ TIMESTAMPS:

00:00 Cold open — "Showing your soft underbelly"

00:31 Welcome and intro

01:39 The Kenya school — Mary Murimi and Top of the Hill GSS

06:01 The 12th Amendment, the VP election, and VICE.RUN

07:18 "Learners will inherit the earth" — Eric Hoffer and the original bet

10:11 The contrarian read — AI set the skills agenda back in 2025

13:13 Amy: AI has skills too — the human + AI hybrid

13:42 Meg: AI fluency to do what? + the simple-simple-simple skills trap

20:14 Sending agents through your corporate training — the corpus as guardrails

21:42 The most important corporate training is "who are we as a company?"

25:40 Edge cases: Singapore, Waymo, and the Disney complexity frontier

27:54 Three quick thoughts — full employment, "2026 is the most important year of your career," dynamic teams

32:29 The Degreed team call — showing your soft underbelly to your whole company

34:54 Parenting kids in the AI tidal wave — set a goal, work backwards

37:26 Meg: "Our experiences are not helpful for our children"

44:17 Maestro, Degree.ai, and the competing narratives on AI wrappers

48:00 Leader-led learning — agents for managers who were never trained to teach

50:30 The Murdoch sale, Vox Media, and where the economic rents actually go

52:00 Why Degreed is an education company, not a software company

56:15 The disarming answer to running this for 14 years: naps

58:01 Wrap

🔑 KEY INSIGHTS:

- AI didn't move skills forward in 2025. It sucked the oxygen out of the room — IT had to roll out AI, attention moved on, and the skills agenda paused across most enterprises.

- The most important "corporate training" content most companies are missing is their own mission. L&D's next role is custodian of organizational context — the corpus your agents actually need.

- Leader-led learning is the agentic system's biggest unlock. Line managers (who were never trained to teach) can now run training-on-demand for their teams.

- Economic rents in SaaS migrate back to the LLMs. The wrappers are exposed. Survival means knowing what kind of company you actually are.

- For kids navigating this: maintain a love of learning AND the meta-skill of knowing how to learn. Your maps don't apply to their territory.

📚 RESOURCES:

Degreed: https://degreed.com

David Blake's LinkedIn post on Learning Rewired: https://www.linkedin.com/in/davidblake/

The Expertise Economy (book): https://www.amazon.com/Expertise-Economy-Smartest-Companies-Succeed/dp/1473677009

Top of the Hill All Girls Secondary School: https://topofthehillgss.org/

Mary Murimi (Top of the Hill founder): https://www.linkedin.com/in/mary-murimi-9402b82a/

Patti Constantakis (Walmart.org, on the skills cold-start): https://www.linkedin.com/in/patti-constantakis/

VICE.RUN — bipartisan VP election reform: https://vice.run/

Eric Hoffer — "Learners inherit the earth": https://en.wikipedia.org/wiki/Eric_Hoffer

Sangeet Paul Choudary's Reshuffle (referenced by David — see our Ep 18 conversation with Sangeet): https://www.youtube.com/@TheMegandAmyShow

NYT on the Vox Media / James Murdoch sale: https://www.nytimes.com/2026/05/20/business/media/vox-media-james-murdoch-sale.html

🔗 CONNECT:

David Blake: https://www.linkedin.com/in/davidblake/

Submit Leadership Questions: [email protected]

Instagram: @megandamyshow

LinkedIn: https://www.linkedin.com/company/the-meg-amy-show

YouTube: https://www.youtube.com/@TheMegandAmyShow

#SkillsAgenda #AIStrategy #LeaderLedLearning #SaaSpocalypse #Degreed #EdTech #FutureOfWork #LeadershipInTheAIEra #MegAndAmyShow

🚀 Maria Colacurcio asked her own AI agent to pull a code repository. Three times. It refused — and directed her to men on her team. That moment is the throughline of an episode about what's actually breaking in compensation, what AI buyers will spend on now, and the org-design conversation every founder is dodging.

Maria is the CEO of Syndio — the company that defined the market for pay-equity software and is now pioneering Decision Intelligence for Pay. Customers include Walmart, Microsoft, and Salesforce.

⏰ TIMESTAMPS:

00:00 Cold open

00:41 Welcome

01:38 The Starbucks origin story — Rob Porcarelli and the 150-page crosstab report

04:32 The Pay Fairy: governing the pay decision at the moment of decision

10:55 "Be a little reckless" + you cannot cram AI learning in 15-minute gaps

14:42 The ClickUp read — wide bands, $1M packages, and systemic underleveling

21:20 The leapfrog: skills-based pay → outcome-based pay → outcome-based pricing

22:51 Anthropic's pricing change and Maria's 4-bucket hard-ROI framework

27:38 Glass box, not black box — the pay-decision audit trail

30:28 Market data is one input — not the anchor

33:33 Cindy the agent + "fluid, not full-time" domain expertise

40:21 The $40M → $100M reset: "Am I still the right person for this job?"

47:19 The LinkedIn moment — what Maria's own AI agent told her, three times

51:34 Leadership Corner — laid off, networking, and the market that moved past you

59:05 Wrap

🔑 KEY INSIGHTS:

- AI vendors face a new bar: "Are you making me money, or saving me money?" The era of AI-for-AI's-sake is ending.

- Pay decisions belong in a glass box, not a black box — every input, model version, override, and human-in-the-loop adjustment logged.

- Wide pay bands don't break pay equity by themselves. They raise the stakes — every $1M package needs a defensible "why."

- "You cannot cram AI learning in 15 minutes between meetings." Leaders modeling AI fluency need real headspace, on weekends and evenings.

- The org reset from $40M to $100M needs specialists, not all-around athletes. And the founder question every sitting CEO is dodging is "am I still the right person for this job?"

- Domain expertise has to be fluid, not full-time — hire your AI vendor SMEs forward, not in-house.

📚 RESOURCES:

Syndio: https://synd.ioZev

Eigen (Syndio co-founder): https://synd.io/authors/zev-eigen/

Steve Magness (Man in the Arena): https://www.stevemagness.com/

Trung Phan (referenced in the LinkedIn story): https://www.readtrung.com/

🔗 CONNECT:

Maria Colacurcio: https://www.linkedin.com/in/mariacolacurcio/

Instagram: @megandamyshow

LinkedIn: https://www.linkedin.com/company/megandamyshow

#PayEquity #PayGovernance #AIBias #AIROI #ResponsibleAI #LeadershipInTheAIEra #FoundersJourney #MegAndAmyShow

🚀 Amy and Meg dig into Jaya Gupta's "experience is now a tax" frame — and what actually survives when AI makes credentials look like overhead. Learn why the most golden job for the next decade is the translator role, how to stop optimizing AI for speed and start using it as an anxiety reducer, and why "manager wars" is the wrong fight to be picking right now, in this conversation on business transformation and leadership in the AI era.

⏰ TIMESTAMPS:

00:28 Welcome & Mother's Day at the Valkyries

02:21 A listener note + show goals

04:04 The three arcs: what survives, how do we survive, what's next?

05:27 Arc 1 — Experience is now a tax (Jaya Gupta)

12:17 The calendar unlock: AI as anxiety reducer (not productivity)

17:02 The most golden job: judgment, taste, and the translator role

21:30 If your org won't give you a pathway (and Couch-to-5K for AI)

23:48 Arc 2 — Curiosity survives credentials (Ethan Mollick on AI slop)

29:42 Authenticity is the new black — 17 years later

33:43 From trends to convergences

34:52 Arc 3 — The Next Great Moat: the shape of your company is the moat

38:25 Manager wars, two-prong leadership, and heart-centered ops

41:25 Strategy in the AI fog: optionality, zero budget, clean sheet

51:10 Leadership Corner: positioning for an opening (without circling)

58:04 Outro

🔑 KEY INSIGHTS:

- Experience is only a tax if you treat the old playbook as the asset. The real moat is your perspective on patterns plus your willingness to be a translator between how work used to get done and how it gets done now.

- The bigger AI use case for senior leaders isn't productivity — it's anxiety reduction. Meg's calendar unlock: "should I do this thing?" before "how do I fit this in?"

- The Claude-language tic is making good thinkers harder to read. If you're writing with AI, own your voice and accept the typos — polished-and-fake costs you trust. (Meg: "I've given up. I'm back to my grammar mistakes and typos.")

- "Manager wars" — the loud "we don't need middle managers" narrative ignores what managers actually do: help people feel seen, not just feel chosen. Meg's two-prong move (know them + sales-pitch the growth) is the playbook.

- Strategy under AI fog: assume a zero budget, take the smallest commitment that buys you information, and build on a clean sheet of paper instead of an existing model that's already serving you.

📚 RESOURCES:

Jaya Gupta — "Experience Is Now a Tax": https://www.linkedin.com/pulse/experience-now-tax-jaya-gupta-kxb7c/

Jaya Gupta — "The Next Great Moat": https://www.linkedin.com/pulse/next-great-moat-jaya-gupta-6onwc/

Hillary Gridley — "Your Couch to 5K for AI" (Lenny's Newsletter): https://www.lennysnewsletter.com/p/your-couch-to-5k-for-ai

Ethan Mollick — One Useful Thing (the Claude-language piece): https://www.oneusefulthing.org/p/claude-code-and-what-comes-next

Marketoonist — "AI Written, AI Read": https://marketoonist.com/2023/03/ai-written-ai-read.html

Meg Bear — "Authenticity is the new black" (2008): https://www.megbear.com/post/authenticity-is-the-new-nbsp-black

Meg Bear — "The future is interdisciplinary": https://www.megbear.com/post/the-future-is-interdisciplinary

Patty Azzarella: https://www.linkedin.com/in/pattyazzarello/

Adam Grant — Think Again (book)

Toby Stewart — "The Future Is Shrouded in AI Fog" (Harvard Business Review): [add link]

Dara Curran (Intercom) — on tripling dev productivity by assuming a zero budget: [add link]

🔗 CONNECT:

Submit Leadership Questions: [email protected]

Instagram: https://www.instagram.com/megandamyshow/

LinkedIn: https://www.linkedin.com/company/the-meg-amy-show

#FutureOfWork #AITransformation #Leadership #ManagerWars #AILeadership #CareerGrowth #MegAndAmyShow

🚀 Running Pilots Is Not a Strategy: Charlene Li — three-decade authority on disruptive leadership and co-author of Winning with AI: The 90-Day Blueprint for Success — breaks down the consistent failure mode she's watched leaders repeat across the internet, social media, and now AI. Learn why "adapting" beats "adopting," why reinvention is the real AI opportunity (not efficiency), and the structural risk no one is naming: agents going to individual contributors who've never been trained as managers.

⏰ TIMESTAMPS:

00:00 Cold open — "running pilots and calling that a strategy"

00:21 Episode intro

01:14 The Altimeter years with Brian Solis: studying disruption

04:09 Three decades, one failure mode — and what's different this time

06:11 Experimentation vs. pilot purgatory

08:08 Don't run readiness assessments — name the gaps instead

11:20 Reinvention beats efficiency: the Concentrix case (130k people, +5% workforce)

16:22 Leading through vulnerability: honesty over having the answers

19:56 Who owns AI inside the org — and why it's not IT

26:26 Handing AI agents to ICs who've never been trained as managers

29:53 The 90-day blueprint: strategy in stone, plan in pencil

40:42 FOMO and FOGI: the cost of staying frozen on AI

47:46 Leadership Corner: rethinking "self-promotion"

🔑 KEY INSIGHTS:

- Running pilots is not an AI strategy. You have a business strategy — think about how AI supports it.

- The gap that matters in 2026 isn't between adopting AI and not. It's between adapting your organization and just adopting tools.

- Readiness assessments are designed to tell you you're not ready. Instead: name the gaps you need to fill to hit your strategic objectives.

- Reinvention beats efficiency. Don't 10x one person and eliminate nine — 10x everyone and 100x the business.

- You're handing AI agents to people you've never trained to manage. The IC-as-agent-manager gap is the structural risk almost no one is naming.

📚 RESOURCES:

Winning with AI: The 90-Day Blueprint for Success (Charlene Li & Dr. Katya Walsh): https://www.amazon.com/Winning-AI-90-Day-Blueprint-Success-ebook/dp/B0GQM9PD3P 

Charlene Li's website: https://charleneli.com

Brian Solis on The Meg & Amy Show (referenced): https://youtu.be/ZrNWHzmWpJU?si=rIeBVrq1NcUmwZyk 

🔗 CONNECT:

Charlene Li: https://www.linkedin.com/in/charleneli/

Submit Leadership Corner questions: [email protected]

Instagram: https://www.instagram.com/megandamyshow/

LinkedIn: https://www.linkedin.com/company/the-meg-amy-show

#AIStrategy #BusinessTransformation #AILeadership #DigitalDisruption #WinningWithAI #CharleneLi #FutureOfWork #ExecutiveLeadership #MegAndAmyShow

Han-Shen Yuan — who led mobile engineering at eBay and Netflix and took Upwork to IPO as SVP of Engineering — explains why AI transformation is a constraint problem before it's a software problem. Learn why the real bottleneck is rarely the technology, what a "loose grip on your identity" means for senior leaders right now, and why cutting headcount on the back of AI productivity gains is eating your own future, in this conversation on business transformation and leadership.

⏰ TIMESTAMPS:

00:00 Cold open & welcome

03:02 Why Han went back to school: the "checksum of knowing"

06:16 When AI blurs every role, who are you?

08:32 Inside Han's consulting practice

13:23 Holding a loose grip on your identity

17:08 Are the "AI layoffs" really AI layoffs?

20:58 What's real vs. hype in enterprise AI

25:02 AI transformation is a constraint problem, not a software problem

29:38 Anti-patterns: "token maxing" and cutting headcount

33:38 Why making your job obsolete protects it

42:31 Leadership Corner: finding clarity when the ground shifts

51:11 Outro: Meg & Amy debrief

🔑 KEY INSIGHTS:

- AI transformation is a business process optimization problem — find the system's true constraint before applying AI, or you'll optimize the wrong thing and see no benefit.

- The human reviewer is often the real bottleneck. Generate 100x more code and you've 100x'd the review queue, not the throughput.

- The professionals who thrive hold a "loose grip" on their identity — willing to do different things to get the job done instead of clinging to one role.

- Cutting headcount on AI productivity gains is short-sighted: no one has ever had "too little work and too many people." Redeploy the new capacity to grow.

- The way to protect your job is to make it obsolete in service of something bigger — the minute you're defending your role, you've already lost.

📚 RESOURCES:

Han-Shen Yuan on LinkedIn: https://www.linkedin.com/in/hanshenyuan/

Han's article on "authentic chameleon leadership": https://h6y3.substack.com/p/the-authentic-chameleon-leadership

UC Berkeley Master of Information and Data Science (MIDS): https://info.ischoolonline.berkeley.edu/requestinfo/mids

🔗 CONNECT:

Han-Shen Yuan: https://www.linkedin.com/in/hanshenyuan/

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