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    Technology

    The Tech Strategy Podcast

    We help digital AI businesses build competitive moats. And launch agentic initiatives fast.

    Hosted by a professor and founder of Agentic Org Now, the Tech Strategy Podcast delivers deep dives into digital strategy, platform economics, and emerging agentic business models. 

    Episodes combine lessons from tech giants (mostly Asian) and practical frameworks for management teams.

    No guest interviews. No PR fluff. Just strategic analysis and lessons.

    You can subscribe to The Agentic Frontier Email and get your free book at AgenticOrgNow.com.

    Disclaimer: For educational purposes only. Not investment advice.

    Advertise

    Copyright: © 2022 The Tech Strategy Podcast

    • Apple Podcasts
    • Google Play
    • Spotify

    Latest Episodes:
    What is the Cost of Maintaining the Correctness of a GenAI Service? (268) Nov 25, 2025
    Show notes

    This week’s podcast is about estimating the costs of providing GenAI products and services. And this is changing.

    You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.

    Here is the link to the TechMoat Consulting.

    Here is the link to our Tech Tours.

    My approach to assessing GenAI operating costs is the below checklist.

    1. What is the cost of compute, including energy and cooling? Initial cost vs. ongoing?
      1. The core compute is going to drive a lot of the costs. Especially if you are using an AI cloud service provider. If you have a downloaded open-source model, then it’s mostly the initial cost.
      2. These compute costs dependent on the requirements of the AI workloads:
        1. The compute requirements
        2. The timing requirements
        3. The memory requirements
    2. What is the cost of creating and maintaining the desired correctness over time?
      1. How accurate and correct you need the foundation model to be is a big deal. And this factor determines how much of the operations are done by software versus humans. It can make the costs of GenAI products look a lot more like services than traditional software.
      2. My main questions are:
        1. How much does correctness matter? What level of correctness does the product need to compete? What is the cost of inaccuracy?
        2. How does correctness change over time? Is it stable and flat lining, advancing, naturally changing or deteriorating?
        3. How much of a long tail is there in the domain? Is the long tail a liability or a benefit?
        4. How much of the process is iterative? How much are humans in the loop?
        5. What is the initial cost of training and getting to the desired level of correctness?
        6. What is the ongoing cost of inference at the desired level of correctness? How much are humans in the loop?
        7. What is the cost and frequency of fine tuning and/or retraining?
    3. What are the cost implications of increasing scale?
      1. What are the scale advantages vs. disadvantages?
      2. Does the Jevon paradox apply?

    --------

    I am a consultant and keynote speaker on how to accelerate growth with improving customer experiences (CX) and digital moats.

    I am a partner at TechMoat Consulting, a consulting firm specialized in how to increase growth with improved customer experiences (CX), personalization and other types of customer value. Get in touch here.

    I am also author of the Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.

    This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.

    Support the show


    Lessons from My Visits to Xiaomi, Unitree and iQIYI (267) Nov 19, 2025
    Show notes

    This week’s podcast is about my trip to Xiaomi, Unitree and iQIYI.

    You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.

    Here is the link to the TechMoat Consulting.

    Here is the link to our Tech Tours.

    ---------

    I am a consultant and keynote speaker on how to accelerate growth with improving customer experiences (CX) and digital moats.

    I am a partner at TechMoat Consulting, a consulting firm specialized in how to increase growth with improved customer experiences (CX), personalization and other types of customer value. Get in touch here.

    I am also author of the Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.

    This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.

    Support the show


    For Agentic Ecommerce Focus on the ABCs (Advisors, Brokers and Concierges) (266) Nov 10, 2025
    Show notes

    This week’s podcast is about AI Agents transforming ecommerce. Likely all commerce.

    You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.

    Here is the link to the TechMoat Consulting.

    Here is the link to our Tech Tours.

    Here is the McKinsey article I mentioned:

    • The agentic commerce opportunity: How AI agents are ushering in a new era for consumers and merchants

    Here is the BCG article I mentioned:

    • When Brands Meet AI Bots: Customer Experience in the Era of Agents

    --------

    I am a consultant and keynote speaker on how to accelerate growth with improving customer experiences (CX) and digital moats.

    I am a partner at TechMoat Consulting, a consulting firm specialized in how to increase growth with improved customer experiences (CX), personalization and other types of customer value. Get in touch here.

    I am also author of the Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.

    Note: This content (articles, podcasts, website info) is not investment advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. Investing is risky. Do your own research.

    Support the show


    Why Data Network Effects and Data Scale Aren’t Moats. Plus, More on Bundling. (260) Nov 04, 2025
    Show notes

    This week’s podcast is about why bundling (and cross-selling and upselling) are so powerful in digital. Plus, some thoughts on why data moats are mostly not real.

    You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.

    Here is the link to the TechMoat Consulting.

    Here is the link to our Tech Tours.

    Here is the article on bundling by Chris Dixon.

    • How bundling benefits sellers and buyers

    A lot of thinking on data as a moat comes from these articles by Martin Casado, Julian Wright and Andre Hagiu.

    • The Empty Promise of Data Moats
    • When Data Creates Competitive Advantage

    Here are 7 complications I mentioned about bundling.

    1. Bundling requires a a robust product suite.
    2. You want a low attach rate. So you don't cannibalize products by bundling.
    3. Bundling can complicate the customer experience and buying journey.
    4. Bundling works best when all customers have similar total willingness to pay. But different tastes.
    5. Unlimited bundles (subscriptions) can have problems if there are non-zero product costs.
    6. Unlimited bundles (subscriptions) do limit revenue per user. This is a problem when willingness to pay is positively correlated with demand for variety.
    7. Subscription models do not reward superstar creators very well.

    ----------

    I am a consultant and keynote speaker on how to accelerate growth with improving customer experiences (CX) and digital moats.

    I am a partner at TechMoat Consulting, a consulting firm specialized in how to increase growth with improved customer experiences (CX), personalization and other types of customer value. Get in touch here.

    I am also author of the Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.

    This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.

    Support the show


    Habit Formation and 3 Other Psych Hacks You Can Copy from Gmail (258) Nov 04, 2025
    Show notes

    This week’s podcast is about habit formation. And Gmail is a good example of a moderate version of this that can be copied.

    You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.

    Here is the link to the TechMoat Consulting.

    Here is the link to our Tech Tours.

    Here are the 4 psych hacks:

    1. Gmail is Habit Forming via a High Frequency Utility Over a Long Time
    2. Gmail is Internally Triggering. That’s the Gold Standard.
    3. Gmail Has Task Completion Rewards. Ok But Not as Good as Variable Rewards.
    4. Gmail has Infinite Variability. But This Is More Powerful in Entertainment than a Utility.

    A lot of this is from the book Hooked: How to Build Habit Forming Products, by Nir Eyal.

    ---------

    I am a consultant and keynote speaker on how to accelerate growth with improving customer experiences (CX) and digital moats.

    I am a partner at TechMoat Consulting, a consulting firm specialized in how to increase growth with improved customer experiences (CX), personalization and other types of customer value. Get in touch here.

    I am also author of the Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.

    This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.

    Support the show


    4 GenAI Take-Aways from Sangeet Choudary’s Book Reshuffle (257) Nov 04, 2025
    Show notes

    This week’s podcast is about generative AI strategy. And it's my summary of some key points of Sangeet Choudary's book "Reshuffle: Who wins when AI restacks the knowledge economy".

    You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.

    Here is the link to the TechMoat Consulting.

    Here is the link to our Tech Tours.

    My take-aways are:

    1. GenAI’s Biggest Impact Will Be as a New Technology for Coordination.
    2. GenAI Coordination Happens at 3 Levels (Shipping Container Example).
    3. GenAI is Dramatically Increasing What Can Be Coordinated. And How (OTA and Construction Examples).
    4. GenAI Will Impact How Firms Coordinate Knowledge. And Will Create Brains for Organizations.

    Photo by Sanket Mishra on Unsplash

    --------

    I am a consultant and keynote speaker on how to accelerate growth with improving customer experiences (CX) and digital moats.

    I am a partner at TechMoat Consulting, a consulting firm specialized in how to increase growth with improved customer experiences (CX), personalization and other types of customer value. Get in touch here.

    I am also author of the Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.

    This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.

    Support the show


    Master These 4 Topics to Win in Digital (264) Nov 04, 2025
    Show notes

    This week’s podcast is a summary of my approach to digital strategy.

    You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.

    Here is the link to the TechMoat Consulting.

    Here is the link to our Tech Tours.

    The two key strategy questions are:

    • Where to play?
    • How to win?

    The four topics discussed are:

    • Digital Growth Strategy
      • Valuation: Measuring and Managing the Value of Companies (Wiley Finance) 8th Edition
      • Profit from the Core: A Return to Growth in Turbulent Times Hardcover – Illustrated, January 26, 2010
    • Operating Performance: Get smarter faster better (DOB and Tactics)
      • Rewired: The McKinsey Guide to Outcompeting in the Age of Digital and AI
      • My Playbook for Data-Empowered Operations (2 of 2) (Tech Strategy)
      • The GenAI / Agentic Operating Basics (Tech Strategy)
    • Cx and Constant Customer Improvements (DOB2)
    • Moats and Structural Advantages (my area)

    The mentioned graphics are here.

    ——–

    I am a consultant and keynote speaker on how to accelerate growth with improving customer experiences (CX) and digital moats.

    I am a partner at TechMoat Consulting, a consulting firm specialized in how to increase growth with improved customer experiences (CX), personalization and other types of customer value. Get in touch here.

    I am also author of the Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.

    This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.

    Support the show


    How to Build an Agentic AI Operating Model (263) Nov 04, 2025
    Show notes

    This week’s podcast is a plan for building an Agentic AI operating model.

    You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.

    Here is the link to the TechMoat Consulting.

    Here is the link to our Tech Tours.

    Here are the mentioned articles. A lot of this thinking is from these McKinsey articles.

    • The agentic organization: Contours of the next paradigm for the AI era
    • The change agent: Goals, decisions, and implications for CEOs in the agentic age

    Here are the building blocks for an Agentic AI Operating Model:

    • Operating model. Based on AI-first work flows. With agent teams as the building blocks. Plus orchestration of agent teams.
    • Hybrid workforce, with new talent profiles.
    • Technology and data
    • Governance

    -----------

    I am a consultant and keynote speaker on how to accelerate growth with improving customer experiences (CX) and digital moats.

    I am a partner at TechMoat Consulting, a consulting firm specialized in how to increase growth with improved customer experiences (CX), personalization and other types of customer value. Get in touch here.

    I am also author of the Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.

    This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.

    Support the show


    Understanding AI Infrastructure Part 1: Apps + AI, Saas + AI and AI Data Centers (265) Oct 27, 2025
    Show notes

    This week’s podcast is the first in a series about AI infrastructure. Both capabilities and costs.

    You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.

    Here is the link to the TechMoat Consulting.

    Here is the link to our Tech Tours.

    Here is the article on the Agentic AI Operating Basics, which I wrote up last week.

    • The GenAI / Agentic Operating Basics (Tech Strategy)

    Here is the Huawei whitepapers related to AI Data Centers

    AI-Ready Data Infrastructure Reference Architecture White Paper

    https://e.huawei.com/en/forms/2024/solutions/data-storage/ai-ready-data-infrastructure-white-paper

    AI Data Center Facility Reference Design

    https://digitalpower.huawei.com/upload-pro/index/index/Huawei-AI-Data-Center-Reference-Design.pdf

    Here are the slides from the mentioned Huawei whitepaper.

    -------

    I am a consultant and keynote speaker on how to accelerate growth with improving customer experiences (CX) and digital moats.

    I am a partner at TechMoat Consulting, a consulting firm specialized in how to increase growth with improved customer experiences (CX), personalization and other types of customer value. Get in touch here.

    I am also author of the Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.

    This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.

    Support the show


    My Playbook for Data-Empowered Operations (261) Sep 17, 2025
    Show notes

    This week’s podcast is a quick summary of how to use data in operations.

    You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.

    Here is the link to the TechMoat Consulting.

    Here is the link to our Tech Tours.

    Here is my data playbook.

    1. Sell data as a product. Or part of the product itself. But you are selling data. This can expand into selling services.
    2. Analytics use cases are valuable. Think analytics vs insights vs predictions.
    3. Data can increase the speed of management decisions. Think dashboards.
    4. Rate of learning and adaptation is more powerful version of this. This can be a big strength in some businesses.
    5. Data products supporting agile teams are important.

    ------

    I am a consultant and keynote speaker on how to accelerate growth with improving customer experiences (CX) and digital moats.

    I am a partner at TechMoat Consulting, a consulting firm specialized in how to increase growth with improved customer experiences (CX), personalization and other types of customer value. Get in touch here.

    I am also author of the Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.

    Note: This content (articles, podcasts, website info) is not investment advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. Investing is risky. Do your own research.

    Support the show


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