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In This Episode:
We talk to David Espindola about the part of the AI boom most companies keep trying to skip: the boring, unsexy work that makes AI real—problem definition, strategy, governance, and trust.
David's written two books (The Exponential Era and Soulful) and spends his time thinking about what happens when exponential tech stops being a keynote and starts breaking things in production. We get into why "go do AI" is an executive-level failure mode, how to decide whether you're a maker, shaper, or taker, and what it actually takes to build AI agents you can trust—especially when incentives (ads), privacy, and security start pulling the strings.
What We Cover:
Why "we must be an AI company" is a terrible mandate if you can't name the problem you're solving
The Makers / Shapers / Takers framework (and why most teams should aim for "shaper," not "maker")
Why AI ROI is so messy right now (and how bad benchmarking + vague goals make it impossible)
Agents and non-determinism: the uncomfortable truth that "it worked 26 times" means nothing
How David built Zena, his AI colleague—using RAG to ground the assistant in his knowledge, values, and working style
The trust-killers: ads, misaligned incentives, weak security, and "agents in prod" without guardrails
Guest Bio:
David Espindola is the author of Soulful and The Exponential Era, and the creator of Zena, an AI colleague built around a simple premise: if you can't trust the system, it's not helping—you're just outsourcing risk. David works at the intersection of AI strategy, change management, and human–AI collaboration, with a practical bias toward governance, security, and using AI where it actually fits (not where it looks good in a board meeting).
Enjoy! This show was Brought to you by Wrench.ai
Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ X: https://x.com/mrdanbaird
Follow David:
LinkedIn: https://www.linkedin.com/in/davidespindola/
Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast Twitter/X: https://x.com/BurnTheMapPodInstagram: https://www.instagram.com/burnthemappodcast/ TikTok: https://www.tiktok.com/@burnthemappodcast BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social
Selected Links From This Episode:
David's website: https://davidespindola.com/
Brainyus: https://brainyus.com/
Chat with Zena: https://brainyus.com/zena
Podcast: Conversations with Zena, my AI colleague
People and Organizations Mentioned:
David Espindola
Dan Baird
Wrench.ai
McKinsey (makers / shapers / takers framework, referenced)
OpenAI
Anthropic
Show Notes & Timestamps:
00:57 — Why The Exponential Era came first; the SPX methodology (Agile + design thinking + more)
04:41 — Soulful: what AI is / isn't; emotional intelligence, trust, and turbulence ahead
07:51 — Biggest implementation mistake: "AI" as mandate vs starting with the problem
08:xx — Makers / Shapers / Takers strategy framework
12:26 — Abundance vs "trickle down"; why ROI is messy in early days
16:43 — 50-year hindsight: today will look primitive
19:46 — The myth that tech automatically reduces hours worked
23:12 — Zena: training an AI colleague; trust as the core feature
24:54 — Ads and incentives: when agents stop being trustworthy
26:26 — How David trains Zena (RAG, memory improving)
29:28 — Non-determinism: why testing AI isn't like testing traditional software
31:35 — When "agents" turn back into old-school software (APIs, reliability, cost)
33:52 — Where to find David + Brainyus + Zena
By Dan BairdIn This Episode:
We talk to David Espindola about the part of the AI boom most companies keep trying to skip: the boring, unsexy work that makes AI real—problem definition, strategy, governance, and trust.
David's written two books (The Exponential Era and Soulful) and spends his time thinking about what happens when exponential tech stops being a keynote and starts breaking things in production. We get into why "go do AI" is an executive-level failure mode, how to decide whether you're a maker, shaper, or taker, and what it actually takes to build AI agents you can trust—especially when incentives (ads), privacy, and security start pulling the strings.
What We Cover:
Why "we must be an AI company" is a terrible mandate if you can't name the problem you're solving
The Makers / Shapers / Takers framework (and why most teams should aim for "shaper," not "maker")
Why AI ROI is so messy right now (and how bad benchmarking + vague goals make it impossible)
Agents and non-determinism: the uncomfortable truth that "it worked 26 times" means nothing
How David built Zena, his AI colleague—using RAG to ground the assistant in his knowledge, values, and working style
The trust-killers: ads, misaligned incentives, weak security, and "agents in prod" without guardrails
Guest Bio:
David Espindola is the author of Soulful and The Exponential Era, and the creator of Zena, an AI colleague built around a simple premise: if you can't trust the system, it's not helping—you're just outsourcing risk. David works at the intersection of AI strategy, change management, and human–AI collaboration, with a practical bias toward governance, security, and using AI where it actually fits (not where it looks good in a board meeting).
Enjoy! This show was Brought to you by Wrench.ai
Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ X: https://x.com/mrdanbaird
Follow David:
LinkedIn: https://www.linkedin.com/in/davidespindola/
Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast Twitter/X: https://x.com/BurnTheMapPodInstagram: https://www.instagram.com/burnthemappodcast/ TikTok: https://www.tiktok.com/@burnthemappodcast BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social
Selected Links From This Episode:
David's website: https://davidespindola.com/
Brainyus: https://brainyus.com/
Chat with Zena: https://brainyus.com/zena
Podcast: Conversations with Zena, my AI colleague
People and Organizations Mentioned:
David Espindola
Dan Baird
Wrench.ai
McKinsey (makers / shapers / takers framework, referenced)
OpenAI
Anthropic
Show Notes & Timestamps:
00:57 — Why The Exponential Era came first; the SPX methodology (Agile + design thinking + more)
04:41 — Soulful: what AI is / isn't; emotional intelligence, trust, and turbulence ahead
07:51 — Biggest implementation mistake: "AI" as mandate vs starting with the problem
08:xx — Makers / Shapers / Takers strategy framework
12:26 — Abundance vs "trickle down"; why ROI is messy in early days
16:43 — 50-year hindsight: today will look primitive
19:46 — The myth that tech automatically reduces hours worked
23:12 — Zena: training an AI colleague; trust as the core feature
24:54 — Ads and incentives: when agents stop being trustworthy
26:26 — How David trains Zena (RAG, memory improving)
29:28 — Non-determinism: why testing AI isn't like testing traditional software
31:35 — When "agents" turn back into old-school software (APIs, reliability, cost)
33:52 — Where to find David + Brainyus + Zena