This week’s podcast is about the emergence of agentic commerce. This is a big change to traditional omnichannel.

Plus, there is a bit more of a rant about the recent Anthropic and OpenAI ban. My prediction is the future of AI outside of the USA is now:

• Open source, downloadable and non-embargoable models plus
• Low cost, tech agnostic AI architecture

Which probably means China. And probably Nvidia.

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 5 steps to get into agentic commerce are:

1. Start building a council of LLMs.
   1. This means a couple of frontier models and lots of open source (a symphony of models). The net is a composable model with a router than directs all queries. 
2. The key AI and agents need to be able to code. That is their superpower.
3. Get to the tipping point where an end-to-end workflow has agents and AI, with no humans in the loop. Then you can scale up to 100-200 agents.
   1. This means fixing the quality problems before you scale.
4. Get to the tipping point where agents create agents (an agent factory). This gest you to thousands of agents.
   1. This includes onboarding, training and oversight of agents.
5. Centralize enterprise data and context for AI and agents.
   1. You need updated centralized data that your enterprise AI can access. 
   2. A lot of data is born somewhere else. Salesforce. System of record. ERP systems.

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I am a consultant & keynote speaker on how to increase digital growth and strengthen digital AI moats.

I am the founder of TechMoat Consulting, a consulting firm specialized in increasing digital growth and strengthening digital AI moats. Get in contact here.

I write (a lot) about digital growth and digital AI strategy (3 best selling books, +2.9M followers on LinkedIn). There is a free book and email newsletter below.

My Moats and Marathons book series is 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.

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