The hosts argue that AI's ability to accelerate software creation exposes a large backlog of unmet demand for internal apps, custom tools, and workflows. Because organizations still need humans to select, integrate, and operationalize those systems, greater technical productivity can create additional implementation work.

Demand for custom software is not fixed
Lower development costs make previously uneconomic projects viable
Businesses still need people to integrate AI into useful processes
Greater engineering capacity can result in more software being built

“there's an unlimited want for software. There's an unlimited want for internal custom apps. There's an unlimited want for AI workflows that you can integrate…”
11:00

“if they become more plentiful, it just means more things are going to get built.”
12:00

#future of work#software demand#ai adoption#automation

Hot Take· 2

Hot Take11:30

AI Transformation Depends More on Systems Thinking Than Building

Technical construction is only one part of successful AI adoption. The harder work is identifying valuable processes, integrating AI into real operations, and enabling employees to use the resulting systems effectively.

Identify what should be automated or augmented
Choose useful systems to build
Integrate AI into existing business processes
Enable employees to adopt the new tools

“You really need to be an incredible systems and process thinker to figure out how to like integrate AI across things that are actually useful…”
11:30

“It's the two hard things are the knowing what to automate with AI and what to integrate AI into, knowing what to actually build, and…”
13:00

#systems thinking#change management#ai skills#process design

Hot Take13:30

AI Consulting Sits on the Favorable Side of Supply and Demand

The episode frames AI transformation consulting as an unusually attractive market because business demand exceeds the supply of capable practitioners. Curious, technically competent people who understand business can help companies begin adopting AI and potentially build lucrative service businesses.

Many businesses do not know where to begin with AI
Few practitioners can deliver transformation at scale
Business fluency matters alongside technical curiosity
The opportunity depends on a current supply-demand imbalance

“If you have curiosity, if you're technical, if you know how to work with businesses, there's just unlimited opportunity in being able to integrate AI…”
13:30

“there's a lot of demand for businesses to learn how to do AI and not enough supply to help them.”
14:00

#ai consulting#entrepreneurship#market opportunity#supply and demand

Explainer· 2

Explainer00:00

Why AI Adoption Is Creating Demand for Human Consultants

Businesses want to capitalize on AI but often lack the expertise to identify and implement useful applications. This capability gap creates an opportunity for consultants who can translate AI technology into understandable business outcomes.

Businesses want to do more with AI but do not know how
Early adopters can bridge the knowledge gap
Clients need practical guidance rather than technology alone

“The thing is that businesses now want to do more than ever before with AI, but they don't know how to do it.”
00:00

“And that's creating a massive opportunity for those who do know how to help businesses use AI.”
00:00

#ai consulting#ai adoption#business transformation

Explainer01:30

Why an AI Consultancy Needs a Narrow Ideal Customer Profile

The episode recommends defining clients by company size, industry, decision-maker, and relevant use case. A focused profile makes it easier to tailor the service and determine where prospective clients research solutions.

Specify the target company's size and industry
Identify the decision-maker who owns the use case
Match the AI service to a functional business need
Research how the target buyer discovers providers

“The second thing, and a really important step is to understand who your ideal customer profile is.”
01:30

“How big is the company? What industry are they in? Who are you targeting?”
01:30

#ideal customer profile#positioning#customer research

Tool· 1

Tool02:30

How an AI Audit Can Produce a Client-Ready Business Case

A prompted AI audit can map business processes, identify automation opportunities, estimate complexity, and calculate potential savings. Its output can give a client an executive summary and prioritization case to present internally before commissioning implementation work.

Map opportunities across business functions
Estimate complexity, savings, and implementation tools
Surface quick wins with immediate return potential
Package findings for the client's management team

“one of the things you're probably going to want to do is do an AI transformation audit and help that company understand how they need…”
02:30

“What I love about this prompt particularly, it gives you a full AI opportunity assessment.”
04:00

#ai audit#automation#roi#consulting

Takeaway· 2

Takeaway01:00

Make Your AI Service Understandable to Nontechnical Buyers

An AI consultant needs a clearly defined offer that describes the concrete help clients will receive. Narrow services such as AI audits or employee training are easier for nontechnical buyers to understand than a vague promise of AI consulting.

Define exactly what the service includes
Consider specializing in audits or training
Describe the offer in language nontechnical clients understand

“The first of those steps are to define what you offer and what you sell.”
01:00

“Whatever it is, you need to decide what that is, get a clear description of it so that people who know nothing about AI can…”
01:30

#service design#ai consulting#positioning

Takeaway04:30

The Audit Is an Entry Point to Larger AI Implementation Work

The initial audit is presented as more than a standalone report. By revealing prioritized opportunities and a roadmap, it can lead naturally to ongoing implementation work whose value is anchored to the client's expected savings.

Use the audit to uncover follow-on projects
Prioritize opportunities before proposing implementation
Connect fees to credible financial value
Refine thin AI-generated roadmaps before presenting them

“But this table leads you to like an ongoing AI service business that could easily be a hundred thousand dollars a year contract for a…”
04:30

“I think the 90-day roadmap is a little thin, so I'd probably go back and ask for some more details.”
05:00

#consulting#value pricing#implementation#ai transformation

Frameworks in this episode

AI Transformation Audit-to-Roadmap

Four-Step AI Consulting Business

Supply-Demand Opportunity Test

Three Core AI Transformation Skills

Insights & moments

⚡Myth Buster· 1

Cheaper AI Development May Increase Rather Than Reduce Human Work

◆Hot Take· 2