---
type: "synthesis"
sources: ["spine"]
tags: ["frameworks", "portfolio", "classification", "diagnostic"]
id: "cd-classify-before-you-invest"
sourceVaultSlug: "hbr-seg-spine"
originDay: 1
articleStem: "hbr-seg-spine"
sourceUrl: "(unified vault: 9 sources)"
sourceTitle: "HBR — Strategic Spine — value thesis & how much to bet"
---
A structural pattern: the corpus's strategy articles all refuse to answer 'should we invest in AI?' as a single question. Each instead offers a *classification instrument* — and they classify along different axes, which makes them complementary rather than competing.

- A047's [[framework-5-types-ai-investment]] classifies the *investment* (parity, option, unique integration, flywheel, capability) and gives each a metric ([[framework-ai-investment-diagnostic]]).
- A055's [[framework-ai-innovation-strategy]] classifies the *organization* on [[concept-value-chain-control]] × [[concept-technological-breadth]] into four viable strategies.
- A061's [[concept-dual-lens-portfolio]] classifies the *pipeline* — scoring, gating, and rebalancing a whole book of initiatives ([[framework-three-portfolio-mechanisms]]).
- A096's [[framework-gen-ai-advantage-assessment]] classifies by *defensibility* — a five-rung ladder ending at rare resources.
- A004's [[framework-ai-strategic-diagnostic]] classifies by *efficiency-vs-growth balance*.

Stack them and you get a full workflow: A055 tells you *which strategy your reality supports*, A047 tells you *what kind of bet each initiative is*, A096 tells you *whether it can be defensible*, A061 tells you *how to run the whole set as a portfolio*, and A004 tells you *whether you've biased the portfolio toward the cheap-but-capped end*. See [[cd-how-much-to-bet]] for how they collectively answer the sizing question.