LinkedIn ·Level 200 ·Part 3 of 10

The build-vs-buy decision: when to own your AI and when to rent it

AI coding tools can now scaffold an agent in a weekend, so many founders ask "should I just build this?", and often decide it company-wide rather than case by case.

By Faris Haddad · Published Oct 2026 on LinkedIn

Why it matters: Build-vs-buy is better treated as a per-workload decision. A 5-factor matrix scores each use case on specificity, maintenance, data sensitivity, time to value and 12-month cost, pointing to Build, Hybrid or Buy.
What you'll get: A decision matrix you apply workload by workload.
Who should read it: Startup founders, CTOs, early-stage operators

Cross-industry Startup AI Agentic AI AI strategy How (deep dive)

Read the full article on LinkedIn ↗

This page is a short guide. The full article is published on LinkedIn.

If you found this useful

Browse the library →

LinkedIn L200·Oct 2026

The AI readiness gap: why startups need a different framework

The problem: McKinsey finds 89% of companies have deployed AI, but only about 6% report capturing significant value, and for smaller teams the gap tends to be wider, not narrower.

Cross-industry Startup AIAI strategy

Startup AI Readiness · Part 1Read →

LinkedIn 6 min· L200·2026

Why 95% of AI projects fail, and how to put your clients in the 5%

The problem: 95% of enterprise AI projects never reach production. Your clients are statistically likely to be in that 95%.

Cross-industry AI strategyAI value & ROI

AI Value Strategy · Part 1Read →

Builder Center L200·Oct 2026

Why agent containment suddenly matters

The problem: In 2026, enterprise AI agents stopped advising and started acting, wired to tools, credentials and other agents.