Everyday AI Podcast – An AI and ChatGPT Podcast

Ep 843: AI Without the Jargon: The Language Every Business Leader Needs in 2026 (Start Here Series Vol 2)

August 18, 2026

AI Summary

5 min read

Most people who use ChatGPT have no idea it can research the web, build a spreadsheet, and generate a presentation from a single prompt. That gap between what the models can actually do and what most users assume they can do is the central problem Jordan Wilson sets out to solve in this episode. The core argument is simple but often overlooked: the biggest obstacle to business AI adoption is not technology—it is language. Technical teams and business leaders speak different vocabularies, pilots stall because people cannot communicate what they need, and jargon like RAG, MCP, and tokens creates confusion rather than clarity. Wilson’s goal is to serve as a translator, giving both sides a shared vocabulary so they can actually move forward together.

Why the language gap matters

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What you'll learn

1 (01:18) **Why Most People Can't Talk About AI Effectively** - Jordan introduces the core problem: a communication gap driven by jargon, rapid change, and lack of training.
2 (02:25) **Series Setup & The Translator Role** - Jordan frames his role as a translator between technical teams and business leaders.
3 (05:11) **The Scale of AI Adoption & The Capability Divide** - ChatGPT's explosive growth created a massive gap between casual users and what's actually possible.
4 (06:52) **The Core Workflow: Prompt → Action → Outcome** - Jordan introduces the fundamental process that underlies every AI interaction.
5 (07:45) **Why Shared Language is a Business Imperative** - You can't evaluate vendors, manage risk, or align teams without a common vocabulary.
6 (10:23) **30-Second Refresher: Generative AI & The Big Three Labs** - A quick recap of the AI landscape from volume one of the series.
7 (12:28) **Tokens: The Real Language of AI Models** - Models don't understand words; they convert everything into tokens.

+ Full timestamped outline available in the app

Guests on this episode

Jordan Wilson

Show Notes

The AI gap will kill companies.

What is it?

it's the large divide between AI's crazy impressive capabilities and what most companies are actually using them for.

And one of the biggest reasons for the AI gap?

Talking.

Like... no one understands how to talk about AI because the technology changes faster than Usain Bolt in Beijing.

You wanna talk to your AI team about LLMs?

PFT. They're running Ralph Wiggum loops in Claude Code and just kinda reading the code before it hits production.

Yeah, the divide is WIIIIIDE.

So we're gonna tackle it together on the second volume of our Starter Series: AI Without the Jargon: The AI Language Every Business Leader Needs to live by in 2026 -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

AI Jargon Barrier for Business Leaders
Generative AI Basics and Lingo Breakdown
ChatGPT, Claude, and Gemini Model Comparison
Understanding Tokens and Context Windows
Large Language Models: Prompt to Outcome
Parameters, Model Power, and Cost Implications
Retrieval Augmented Generation (RAG) Explained
Embeddings, Vector Databases, and Chunking
Agentic Models vs. Transformer Models
AI Risks: Hallucinations, Prompt Injection, Guardrails
Model Context Protocol (MCP) and Connectors
Scaffolding for Complex AI Workflows
AI Success: ROI, Risk, and Implementation Strategies

Timestamps:

00:00 "Join Start Here Series Community"

03:21 Bridging AI and Business Leaders

09:35 Partnering for Generative AI Success

12:26 "AI Models Operate Using Tokens"

15:41 "Shift to Smaller AI Models"

18:56 "Understanding RAG and Its Impact"