Ep 780: Build, Buy, Partner, or Wait: The 4-Layer AI Stack Decision Framework for 2026 (Start Here Series, Vol 25)

The most expensive AI mistake of 2026 won't show up on any invoice. 💸

It'll show up two years from now when you can't get your data out, your competitors are eating your lunch, or your team is stuck maintaining software no one actually wanted to build.

Because in 2026, AI isn't one decision anymore.

It's four.

The model. The workflows. Your data. Your business software.

Each layer has its own build, buy, partner, or wait choice.

And most companies are making all four without realizing it.

Today on Everyday AI, we're breaking down the framework that puts those choices back in your hands.

Build, Buy, Partner, or Wait: The 4-Layer AI Stack Decision Framework for 2026 (Start Here Series, Vol 25) An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Build vs. Buy vs. Partner vs. Wait in AI
2. Four-Layer AI Stack Decision Framework
3. Evolution of AI Agentic Workflows in 2026
4. Buy vs. Build Decision Obsolescence
5. When to Build Proprietary AI Solutions
6. Prepackaged AI Workflows for Small Businesses
7. Data Ownership and Integration Strategies
8. Vendor Lock-In and Technical Debt Risks
9. Partnering in Regulated or Critical Workflows
10. Waiting for Stable AI Categories
11. Three-Week AI Adoption Blueprint
12. Capability Gap and ROI in AI Investments

Timestamps:

00:00 Buy vs. build AI question

04:19 Start here podcast series intro

09:52 AI companies offering consulting services

11:27 AI skills and vertical integration

14:19 Evaluating AI adoption strategies

18:53 Building proprietary processes

20:28 Streamlining organizational workflows

23:48 Importance of strategic partnerships

27:34 Deciding on software investments

32:26 Evaluating tech capabilities and gaps

35:59 Implementing AI Workflows Step-by-Step

38:09 Accessing the start here series

Keywords: 

build vs buy AI, build or buy AI, build, buy, partner or wait, AI stack decision framework, four layer AI stack, AI implementation strategy, AI decision making, technical debt, vendor lock-in, agentic AI, AI agents, AI workflows, enterprise AI adoption, prepackaged agentic workflows, Microsoft Copilot, Google Gemini, OpenAI, Anthropic, domain assistants, specialized agents, model context protocol, large language models, custom AI solutions, proprietary data, workflow automation, data integration, business software AI integration, regulated workflows, audit heavy workflows, AI-powered business software, SAP autonomous enterprise, Codex, model portability, AI category stability, AI talent, agentic engineering, proprietary processes, competitive advantage, ownership map, workflow differentiation, capability gap, learning curve, risk management, OpenClaw, open source AI, modular AI skills, training gap, internal context, audit and score, governance, operational risk, partnership with AI vendors, regulated industries AI, SMB AI adoption, AI-driven business transformation, ROI, rate of innovation

Start Here ▶️

Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com 

Also, here's a link to the entire series on a Spotify playlist.