---
id: "concept-generative-biology"
type: "concept"
source_timestamps: ["§ Artificial Intelligence Meets Organoid Intelligence"]
tags: ["synthetic-biology", "bioengineering", "ai-in-science"]
related: ["concept-living-intelligence", "concept-organoid-intelligence", "entity-ginkgo-bioworks", "entity-google-deepmind", "entity-alphaproteo", "entity-gnome", "claim-bioengineering-gpt"]
definition: "The use of AI, data, and computation to simulate, predict, and engineer entirely new biological components, such as custom proteins, genes, or organisms."
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"
---
# Generative Biology (genBio)

**Generative Biology (genBio)** is the intersection of artificial intelligence, data, computation, and bioengineering. It uses generative algorithms to **predict, simulate, and create entirely new biological insights and components** — proteins, genes, or whole organisms. Rather than only analyzing existing biological structures, genBio *engineers new ones* tailored for specific tasks.

Cited applications:
- [[entity-ginkgo-bioworks|Ginkgo Bioworks]] engineering custom enzymes to break down pollutants like plastics.
- [[entity-google-deepmind|Google DeepMind]]'s [[entity-alphaproteo|AlphaProteo]] designing novel proteins for biomaterials and drug development.
- DeepMind's [[entity-gnome|GNoME]] predicting the stability of millions of new inorganic materials.

The ultimate trajectory of genBio points toward **materials that autonomously self-regulate** — e.g., building materials adjusting their own temperature and light — *without traditional silicon computers in the loop*. This makes genBio a pillar of [[concept-living-intelligence|Living Intelligence]] and underwrites the contrarian claim that [[contrarian-bioengineering-supremacy|bioengineering, not silicon, may be the ultimate general-purpose technology]].

**Definition:** The use of AI, data, and computation to simulate, predict, and engineer entirely new biological components, such as custom proteins, genes, or organisms.

> *Enrichment caveat:* A peer-reviewed review on AI + synthetic biology supports the core idea — AI is accelerating design-build-test cycles and expanding biological engineering capacity — while also flagging dual-use risk and governance gaps as *central*, not peripheral (see [[question-regulatory-frameworks]]).