In this jam-packed episode, hosts Brent Leary and Paul Greenberg tackle major career announcements in the enterprise software space and challenge the industry's obsession with AI-driven workforce reductions.

First, the Playaz share a special tribute to Steve Miranda, the legendary head of business applications at Oracle, following his retirement announcement after nearly 30 years with the company. Then, Chief AI Officer Dr. Michael Wu joins the show for his Taking the Lid Off of AI segment to explain why the current "automation first" narrative is fundamentally wrong, sharing a mind-blowing case study on how IKEA reskilled thousands of workers to unlock massive revenue.

🕒 Episode Timestamps & Highlights

• [07:04] Celebrating Oracle's Steve Miranda: Brent and Paul share their congratulations and favorite memories of Miranda's massive legacy leading Fusion Apps and CX technology. Plus, they officially launch a new campaign to get him to IRL 2027.
• [16:07] Around the Playaz Network: Highlights from the week's top shows:
  • In the Hot Seat: Tackling the real-world headache of data quality and CDPs.
  • Game On!: Coherence in brand storytelling with narrative expert Jeff Gomez.
  • Fast Forward: Why "content is no longer king" in the age of AI and how human "taste" defeats automated "AI slop".
• [41:17] "Taking the Lid Off of AI" with Dr. Michael Wu: Dr. Wu joins the conversation to discuss how companies are completely missing the point of artificial intelligence by focusing purely on cost-cutting.
• [50:24] The €1.3B IKEA Flipped Script: How IKEA automated 50% of its customer service inquiries but reinvested in its people—reskilling 8,500 customer reps into high-performing remote interior design consultants.
• [01:04:22] AI as a Mentor, Not a Replacement: Shifting the corporate mindset from simple "automation" to true "elevation and innovation."

💡 Key Takeaways from Dr. Michael Wu

• The Problem with "Automation First": Focusing strictly on headcount reduction breeds fear and limits your business.
• Reinvest the Gains: Successful companies use AI automation to free up employee time, then reskill those employees to deliver higher-value customer experiences.
• AI is Your Best Mentor: AI holds the key to indexing massive, unstructured historical data (like years of emails or Slack messages) to uncover valuable business solutions you didn't even know you had.

🔗 Resources & Links

• Watch this episode on YouTube: CRM Playaz - Double Segment Edition
• Join us in person: Learn more about the upcoming IRL 2027 Conference.

Enjoyed the episode? Subscribe to CRM Playaz on Apple Podcasts, leave us a 5-star review, and share this episode with a colleague!

Episode Description

What happens when a top CRM vendor accidentally shifts from opt-in to opt-out on customer data training for AI? It triggers a "SASpocalypse" of user backlash. In this unscripted episode of CRM Playaz, hosts Brent Leary and Paul Greenberg dive deep into Hubspot's recent AI data policy controversy and its swift reversal. Joined later by executive advisor Esteban Kolsky, the Playaz introduce a brand-new segment—CRM Playaz vs. the LLMs—where they pit the consensus of major AI models against raw human experience to determine what's truly driving enterprise tech in 2026.

Show Notes

🎙️ The Hosts

• Brent Leary: Business analyst and technology speaker.
• Paul Greenberg: Author, strategy consultant, and the "Godfather of CRM."
• Special Guest: Esteban Kolsky, long-time enterprise tech analyst and executive advisor.

⏱️ Episode Timeline & Topics

00:00 – Warmups & Weather Banter

• Paul dials in from a highly humid environment, comparing his current weather to a late-summer night's talk show backdrop.
• Paul previews his upcoming trip to Newfoundland to celebrate his wife’s 80th birthday in her birthplace alongside 100 family members and childhood friends.
• The hosts trade stories about the high number of nonagenarians and octogenarians in their respective families.

04:30 – The Hubspot AI Data Policy U-Turn

• The Context: Brent shares a historic look at his relationship with Hubspot, displaying a vintage 2009 photo from the very first Inbound conference with co-founder Dharmesh Shah.
• The Controversy: The Playaz tackle a highly controversial policy change where Hubspot shifted customer data usage for AI model training to an opt-out mechanism rather than an explicit opt-in.
• The Reaction: Dissecting user outrage across platforms, Paul notes that for enterprise B2B software, customer data privacy is the holy grail. Charging high monthly user fees while quietly turning data over to enhance systemic models—where competitors might benefit—shatters foundational contract trust.
• The Reversal: Hubspot quickly listened to user backlash, apologized, and completely rolled back the policy change.

15:45 – Segment Debut: CRM Playaz vs. the LLMs

• Brent introduces a brand new experimental concept where they test a standard industry prompt across three major Large Language Models (ChatGPT, Claude, and Gemini) to see how their summaries match real-world reality.
• The Prompt: "What are the top three stories of the first half of 2026 when it comes to CRM and CX?"
• The LLM Outputs:
  • The models emphasize the "SASpocalypse" (Wall Street anxieties regarding seat-based software licensing versus AI agents), Salesforce's massive $3.6 billion acquisition of Finn, and the transition from systems of record to systems of autonomous action.
• The Human Reality Check: Esteban Kolsky breaks down why the LLMs are inherently echoing an unoriginal echo chamber. Because LLMs aggregate existing internet articles, they mistake vendor PR pushes and investor anxiety for what real executive buyers are actually doing.
• Esteban notes that at an executive board level, the frantic hype around agentic AI has cooled. Companies are no longer focused strictly on generative experiments; they are pivoting back to traditional foundational infrastructure, pricing realities, and finding sustainable, long-term multi-year growth.

💡 Key Takeaways From the Show

• Data Trust is Non-Negotiable: Consumer platforms like Meta can get away with broad opt-out data extraction because the services are free to end-users. Enterprise software platforms cannot bridge that same gap; software clients pay explicitly for secure siloed architecture.
• More Data Does Not Equal Better Models: As Esteban points out, cleaner, curated enterprise datasets produce useful strategic context, whereas simply harvesting mass quantities of unrefined customer inputs leads to chaotic, heavily commoditized outputs.

🔗 Connect with the Playaz

• Bookmark the show or suggest an AI prompt for the next round of Playaz vs. LLMs via our LinkedIn channels!