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RESEARCH · AI PERSUASION

Can Artificial Intelligence Persuade Humans?

Peer-reviewed evidence, presented with its limitations. What the experiment demonstrated vs. what someone might infer.

Peer-reviewed research provides strong evidence that AI-generated text is persuasive and that personalization can increase persuasion. It does not demonstrate reliable control of an individual's decisions. The distinction between persuasion and control is central.

KEY FINDINGS
  • ▸AI-generated persuasive text: strong evidence.
  • ▸AI personalized persuasion: strong evidence in tested contexts.
  • ▸Personal data improving persuasion: mixed / moderate evidence.
  • ▸Reliable control of individual decisions: no public scientific evidence.

Key studies

Matz et al., Scientific Reports, 2024
1,788 participantsStrong

Finding: Personalized ChatGPT-generated messages were more influential than corresponding non-personalized versions across several tested contexts.

What it does not prove: Personalization can increase LLM persuasion in controlled settings.

Argyle et al., PNAS, 2023
8,587 participantsMixed / Moderate

Finding: GPT-4-generated messages were persuasive but no statistically significant overall microtargeting advantage from additional personal information was found.

What it does not prove: LLM persuasion is real; added microtargeting value is not clearly established.

Nature Human Behaviour, 2025
Debate experimentStrong

Finding: Personalized GPT-4 debate conditions produced stronger persuasion than the human-human reference condition in that setting.

What it does not prove: Personalization can amplify persuasion relative to human persuaders under specific conditions.

Nature Communications, 2025
4,829 participantsModerate

Finding: LLM-generated political-policy messages caused measurable attitude changes and were approximately comparable to ordinary human-generated messages.

What it does not prove: LLM messages persuasive at parity with ordinary human messages, not necessarily superior.

Evidence vs. inference

Always separate what the experiment actually demonstrated from what someone might infer from it. A lab study showing personalized messages shift self-reported attitudes does not demonstrate that an autonomous system can reliably manipulate a specific official's consequential decision in the wild. The former is evidence; the latter is speculation.

● LAST REVIEWED: 2026-09-30 · REVIEW STATUS: EDITORIAL VERIFICATION · EVIDENCE-BASED

SOURCES & REFERENCES

  1. [1]
    Personalized AI persuasion (Matz et al.) — Scientific Reports (2024) Source ↗
  2. [2]
    LLMs can persuade humans on political issues (Argyle et al.) — PNAS (2023) Source ↗
  3. [3]
    Personalized LLM persuasion in debate — Nature Human Behaviour (2025) Source ↗
  4. [4]
    LLM political-policy messages and attitude change — Nature Communications (2025) Source ↗