---
id: "claim-long-duration-investments"
type: "claim"
source_timestamps: ["¶6", "§ Optimizing for the Unknown"]
tags: ["investment-strategy", "macro-economics"]
related: ["concept-ai-fog", "concept-optionality"]
confidence: "high"
testable: true
speakers: ["Toby E. Stuart"]
sources: ["futures"]
sourceVaultSlug: "hbr-seg-futures"
originDay: 2
articleStem: "hbr-foci-72-future-ai-fog"
sourceUrl: "https://hbr.org/2026/04/the-future-is-shrouded-in-an-ai-fog"
sourceTitle: "The Future Is Shrouded in an AI Fog"
---
# AI Opacity Destroys the Justification for Long-Duration Investments

**Claim:** The extreme uncertainty generated by AI challenges the fundamental criteria used to commit to forward-looking investments. Because the future is opaque, the **cost of capital is pushed up** (high uncertainty is hard to price), **risk premia rise**, and **projects with distant payoffs lose their appeal.** Stuart applies this universally — across individual education, corporate CapEx, and government infrastructure — citing anchors like 30-year bonds and decade-long medical training. See [[concept-ai-fog]] and the prescribed response, [[concept-optionality]].

**Confidence: high** (author conviction). **Testable: yes** — via cost-of-capital, risk-premia, and CapEx-horizon data.

**Enrichment / verification:** Directionally supported by the HBR text and early commentary, but the extraction's universal framing ('the *only* compelling strategic option is optionality itself') is stronger than the article's more cautious phrasing ('challenging the criteria'). CFO/CEO surveys do show **shortening planning horizons** and more cautious CapEx under macro and technological uncertainty, but they rarely isolate AI as the sole driver. Empirical evidence that AI *alone* is destroying long-duration investment justification is limited and mixed; the claim is stronger than current data. Counter-literature ([[contrarian-corporate-planning]], 'Living Plans') argues the answer is upgrading planning systems, not abandoning long bets.