Quoting Paul Graham

Background

The email's subject is the growing trend of founders using generative AI to draft communications, resulting in a uniform "hard-hitting journalistic style." Graham notes this is a new phenomenon, as this particular style was not used by founders previously. The core of his critique begins at the moment of recognition—when the recipient identifies the text as AI-written.

Key Points

1. Immediate Dismissal: Graham states a stark personal rule: "I have never knowingly finished reading an email signed by a human but written by AI." The act of recognizing AI authorship triggers instant dismissal, halting engagement with the content.
2. The Core Issue: Perceived Deception: The emotional response is central. Graham compares receiving such an email to "being lied to." This is not merely about quality but about authenticity and trust. The use of AI to craft a personalized human interaction feels like a trick, undermining the social contract of communication.
3. Diminished Perception of the Author: The consequences for the sender are severe. AI assistance leads Graham to think "less of the author" for two specific reasons:
   • Lack of Skill: It suggests the founder "can't write well unaided (or feel they can't)."
   • Lack of Integrity: It indicates the founder is "trying to trick me."
4. Demystification of the Tool: Graham dismisses the impressiveness of using AI for writing, stating "It's not impressive to use AI to write stuff for you; any teenager can do that." This frames AI use not as a mark of technical sophistication but as a basic, unremarkable shortcut.

Significance

Graham's critique is significant because it moves beyond the quality of AI output to its social and professional implications. He highlights a critical disconnect: while AI can emulate stylistic fluency, its use in personal, trust-based communication (like a founder's email) erodes trust rather than building it. The piece serves as a warning that the tool, when applied inappropriately, damages the very human qualities—authenticity, personal competence, and sincerity—that effective professional communication relies upon. It underscores the importance of context in AI adoption, where the goal of efficiency must be weighed against the cost of perceived inauthenticity.