---
id: "claim-bioengineering-gpt"
type: "claim"
source_timestamps: ["§ Artificial Intelligence Meets Organoid Intelligence"]
tags: ["bioengineering", "long-term-trends"]
related: ["concept-generative-biology", "concept-organoid-intelligence", "contrarian-bioengineering-supremacy"]
confidence: "medium"
testable: false
speakers: ["Amy Webb"]
sources: ["futures"]
sourceVaultSlug: "hbr-seg-futures"
originDay: 2
articleStem: "hbr-foci-73-living-intelligence"
sourceUrl: "https://hbr.org/2025/01/why-living-intelligence-is-the-next-big-thing"
sourceTitle: "Why “Living Intelligence” Is the Next Big Thing"
---
# Bioengineering may be the most important long-term general-purpose technology

**Claim (confidence: medium · not testable):** While currently the *easiest* of the three converging technologies (AI, sensors, biotech) for corporate leaders to dismiss, **bioengineering is projected to be the most important general-purpose technology in the long term**.

By pairing engineering techniques with biological systems, humanity will move beyond silicon-based computing and static materials into an era of [[concept-generative-biology|Generative Biology]] and living machines (see [[concept-organoid-intelligence|Organoid Intelligence]]), fundamentally altering manufacturing, healthcare, and computing. This is the substance of the contrarian note [[contrarian-bioengineering-supremacy]].

> *Enrichment assessment:* **Plausible but highly speculative.** A peer-reviewed review supports the idea that AI is accelerating bioengineering with implications for medicine, agriculture, sustainability, and governance. But the leap from "bioengineering is increasingly powerful" to "the most important long-term GPT" is not established by the evidence — it remains an opinionated forecast. Counter-perspective: biological systems are slower, costlier, and more regulated than software, so the timeline to broad disruption may be much longer than the rhetoric implies.
