『Episode 46 | Are You Making Me Money or Saving Me Money? | Maria Colacurcio』のカバーアート

Episode 46 | Are You Making Me Money or Saving Me Money? | Maria Colacurcio

Episode 46 | Are You Making Me Money or Saving Me Money? | Maria Colacurcio

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🚀 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
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