Dr. Jack Hong

The Reflective AI Enterprise

Building Human-AI Partnership at Scale, encompassing both AI deep tech (execution) and the human element (trust).

Author

Dr. Jack Hong

Category

Technology

Podcast website

podcasters.spotify.com

Latest episode

Apr 4, 2026

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Episodes

Session 7: Orchestration in Practice 04.04.2026

We integrate all the analytical instruments onto a single, massively complex case: the Grab super app. We follow Grab’s journey to its first $200 million profit and tackle a high-stakes ethical debate: should your ride-hailing data determine your creditworthiness? #Grab #SuperApp #AIOrchestration #DataEthics #BusinessModelCanvas

Session 6: Experimentation & Learning 04.04.2026

The organization that learns fastest wins. We explore how Booking.com runs 25,000 controlled experiments every year, and why the true outcome of an experiment is learning, not the final solution. #Experimentation #LearningCycles #BookingCom #ABTesting #AgileInnovation

Session 5: Governance by Design 04.04.2026

We contrast two heavily regulated organizations: Boeing and DBS Bank. Boeing had every governance document imaginable, yet 346 people died because of "Constraint Theater". DBS Bank built enabling "quality governance," generating over SGD 1 billion in AI-driven economic value. #AIGovernance #Boeing737MAX #DBSBank #ConstraintTheater #AIEthics

Session 4: Platforms & Competition 04.04.2026

Digital completely rewrites the rules of scale, scope, and speed. Discover why fast-followers consistently win while 47% of first-movers fail, and explore how Shopee uses graduated institutional trust to govern millions of users. #PlatformEconomics #NetworkEffects #Shopee #CompetitiveStrategy

Session 3: Value & the User 04.04.2026

How did Nubank build an $81 billion bank by asking a simple question? We break down the difference between "doing things better" and "doing better things" and introduce the AAA Framework to decide when to Automate, Augment, or Amplify human effort. #ValueProposition #Nubank #Fintech #UserCentric #AAAFramework

Session 2: What Is the Human For? 04.04.2026

Zillow lost $881 million because they automated a decision that required contextual human judgment. This episode defines the human-AI boundary using the Dual Plane Model and explores the Mirror Thesis—how AI reveals the uniquely human elements that truly matter. #TrustPlane #FutureOfWork #Zillow #MirrorThesis #Automation

Session 1: The AI Transformation Journey 04.04.2026

Everyone is adopting AI, but almost nobody is getting value from it. In this opening session, we explore the Institutional Knowledge Thesis, dive into Bainbridge's Irony, and discuss the music industry's catastrophic $58.3 million defense of CDs against the demand signal of 80 million Napster users. #AIAdoption #BainbridgesIrony #InstitutionalKnowledge #DigitalTransformation

Overview: Leading AI Transformation (SMU MBA Course) 04.04.2026

An overview of Dr. Jack Hong's SMU MBA course. We unpack the course's central paradox: the binding constraint on AI transformation is not the AI's capability—it is the quality of human judgment in setting the boundaries within which AI operates. #AITransformation #BusinessStrategy #Leadership #MBA #HumanJudgment

Killing Vibe Coding: The 5 Layers of the "Human-on-the-Loop" Developer 01.03.2026

Is your AI writing brilliant code, or is it just hallucinating with confidence? In 2025 and 2026, "vibe coding" promised magic: just describe what you want in natural language, and the AI builds it. But at scale, vibe coding is chaos. General-purpose AI suffers from "amnesia" (forgetting your instructions 30 minutes later), "convention drift" (ignoring your internal f...

Codifying the Human Trust Plane: Solving the AI Governance Dilemma 01.03.2026

What happens when an autonomous AI makes a million-dollar mistake—who is accountable? In the age of autonomous agents, the biggest barrier to enterprise AI adoption isn't interoperability or tool access; it is trust . Current AI platforms offer two unacceptable choices: either humans must approve every single AI action (which creates a massive bottleneck and defeats the purpose of automation),...

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