Rich Hickey Challenges the „Tool” Label for Artificial Intelligence

Redefining the Role of AI in Software Development

On 12 October 2026, software architect Rich Hickey published a thought‑provoking piece in which he argues that labeling artificial intelligence as a „tool” is misleading. Hickey, known for creating the Clojure language, questions whether the term carries any real meaning or simply serves as a convenient placeholder for technology that can be used in many ways.

Hickey’s essay builds on his long‑standing skepticism about the hype surrounding AI. He notes that the word „tool” implies a clear, single purpose—something designed to perform a specific function. In contrast, AI systems often exhibit unpredictable behavior, adapt to new contexts, and can even create new problems.

He warns that treating AI as a simple tool risks ignoring its potential to reshape society in unforeseen ways.

In the context of programming, Hickey observes that developers frequently rely on AI assistants to write code, debug, or optimize performance. While these tasks are useful, the underlying AI engine is not a passive instrument; it learns from data, makes decisions, and can influence the architecture of applications. Hickey suggests that developers should treat AI as a collaborator rather than a mere utility, engaging with its outputs critically and iteratively.

Is „Tool” Just a Convenient Metaphor?

He cites examples from recent projects where AI-generated code introduced subtle bugs or security vulnerabilities that were not apparent during training.

This underscores the importance of human oversight and the need for new best practices that account for AI’s learning dynamics.

Hickey asks whether the term „tool” is simply a convenient metaphor that obscures the true nature of AI. He argues that the metaphor fails to capture AI’s capacity for self‑improvement, its dependency on vast datasets, and its potential to alter the very problems it was meant to solve. By continuing to use the term, we may underestimate the responsibility required to manage AI safely.

He calls for a shift in language—perhaps to „system” or „agent” – that better reflects AI’s autonomous characteristics. This linguistic change, he believes, could influence policy, education, and public perception, prompting more rigorous scrutiny of AI’s impact.

Implications for the Future of Work and Ethics

If AI is not merely a tool, the consequences ripple across industries.

In creative fields, AI can generate original content; in healthcare, it can diagnose diseases; in finance, it can manipulate markets. Each scenario demands ethical frameworks that address accountability, transparency, and bias. Hickey warns that without such frameworks, we risk amplifying existing inequalities.

He concludes that the tech community must adopt a more nuanced view of AI, recognizing its agency and designing systems that align with human values.

Frequently Asked Questions

The debate over terminology is more than semantics; it shapes how society governs and benefits from AI.

A: He believes the term implies a single, fixed function, whereas AI adapts, learns, and can act unpredictably, requiring a different conceptual framework.

A: Developers should treat AI as a collaborator, critically reviewing outputs, implementing safety checks, and updating best practices to account for AI’s learning behavior.

A: A new label could prompt regulators to create more comprehensive guidelines that address AI’s autonomous nature, ensuring accountability and reducing bias.