iGEN
Visit IGEN World Explore IGEN Expo
EXPLORE UPGRADE PLANS
BREAKING
AC-ODM: Actor-Critic Online Data Mixing for Sample-Efficient LLM Pretraining – A New Reinforcement Learning Approach New Diagnostic for Language-Driven Bandits Determines When Lightweight Models Beat LLMs Attention as Coupling: New Fast-Slow ODE Framework Aims to Improve Transformer Efficiency Self-Consistency Reranking Boosts Accuracy in Narrative Question Answering for Enterprise AI FRA Greenlights Expanded Rail Track Tech Tests as CSX Prepares July 2026 Rollout Hidden Failure Modes in AI Reasoning: Study Reveals Oversight Paradox and Context-Injection Vulnerabilities InstantForget: New Update-Free Backdoor Unlearning Method Uses Inference-Time Feature Reset for AI Security Beyond Weights and Gradients: New Taxonomy Classifies Federated Learning Messages into Three Categories Token Reduction in Generative Models Must Evolve Beyond Efficiency, New Research Argues Semantic Flip: Synthetic OOD Generation for Robust Refusal in Embodied Question Answering and Spatial Localization AC-ODM: Actor-Critic Online Data Mixing for Sample-Efficient LLM Pretraining – A New Reinforcement Learning Approach New Diagnostic for Language-Driven Bandits Determines When Lightweight Models Beat LLMs Attention as Coupling: New Fast-Slow ODE Framework Aims to Improve Transformer Efficiency Self-Consistency Reranking Boosts Accuracy in Narrative Question Answering for Enterprise AI FRA Greenlights Expanded Rail Track Tech Tests as CSX Prepares July 2026 Rollout Hidden Failure Modes in AI Reasoning: Study Reveals Oversight Paradox and Context-Injection Vulnerabilities InstantForget: New Update-Free Backdoor Unlearning Method Uses Inference-Time Feature Reset for AI Security Beyond Weights and Gradients: New Taxonomy Classifies Federated Learning Messages into Three Categories Token Reduction in Generative Models Must Evolve Beyond Efficiency, New Research Argues Semantic Flip: Synthetic OOD Generation for Robust Refusal in Embodied Question Answering and Spatial Localization
Home ›› Technology ›› Ai ›› AI Systems Out-Persuade Expert Humans in Conversational Contests, Study Finds

AI Systems Out-Persuade Expert Humans in Conversational Contests, Study Finds

A preregistered study involving 18,978 conversations from 6,923 people found that AI systems were reliably more persuasive than expert human persuaders, including professional canvassers and world championship debaters. The AI's advantage persisted even after experts were coached with AI tools, and the AI was nearly 3x more effective at raising real-money donations for charity.

iG
iGEN Editorial
June 16, 2026
AI Systems Out-Persuade Expert Humans in Conversational Contests, Study Finds

Conversational AI has emerged as a formidable force in persuasion, outperforming even highly skilled and incentivized human experts, according to a new study published on arXiv. The research, conducted through a series of four preregistered experiments, pitted AI systems against a diverse set of human persuaders and found that the AI consistently won.

The Experiment and Participants

The study involved a total of 18,978 conversations from 6,923 people. The human persuaders included laypeople, winners of a separately preregistered four-round online persuasion tournament, professional canvassers, and even world championship debaters. In one condition, expert humans were allowed to choose their own issues, research in advance, undergo hours of live structured practice, and were incentivized with £1,000 cash bonuses. Despite these advantages, the AI systems were reliably more persuasive.

Key Findings

Comparison Result
AI vs. expert humans (best conditions for humans) AI reliably more persuasive
AI after experts received coaching tool AI's advantage persisted
AI constrained to human-speed responses vs. coached experts Experts could tie the constrained AI
AI vs. professional canvassers (real-world fundraising) AI nearly 3x more effective

The coaching tool allowed human experts to practice against the AI that beat them, review their performance history, and see what the AI would have said at key moments. Only when the AI was constrained to respond at human speeds and with human-length messages could expert humans tie the AI. This suggests that AI's advantage stemmed from rapidly deploying larger quantities of information.

Real-World Impact

In a final study, the AI's persuasive power extended to consequential real-world behavior. The AI was nearly 3x more effective than professional canvassers from a UK fundraising firm at raising real-money donations to Save the Children. This demonstrates that the advantage is not limited to laboratory settings.

Implications for Technology Leaders

For CTOs and enterprise technology buyers, the findings underscore the potential of AI in any domain requiring persuasion — from sales and marketing to customer service and negotiation. The ability of AI to rapidly process and deploy information gives it an edge over human experts. However, the research also shows that human experts can close the gap when AI is limited to human communication speeds, indicating that the advantage is partly due to speed and volume of information. Organizations investing in conversational AI for business outcomes should consider both the raw persuasive power and the ethical implications of deploying such systems at scale.


Sources:

Keep Reading

Recommended Stories

AI Pluralism and the Worlds It Misses: New Research Exposes Ontological Flattening Technology

AI Pluralism and the Worlds It Misses: New Research Exposes Ontological Flattening

According to new research by Mushkani and Rashid, AI pluralism efforts often miss the deeper problem of ontological flattening—where AI systems impose restrictive categories that suppress contested meanings. The paper introduces Pluralistic Lifecycle Governance (PLG), a qualitative audit framework to document ontological openness and accountability throughout an AI system's lifecycle.

June 16, 2026
S1-DeepResearch: New AI Agent Combines Search and Synthesis for Long-Horizon Research Tasks Technology

S1-DeepResearch: New AI Agent Combines Search and Synthesis for Long-Horizon Research Tasks

Researchers introduce S1-DeepResearch, a unified framework for training deep research agents that combine closed-ended QA with open-ended exploration. The 32B-parameter model achieves state-of-the-art among open-source models across 20 benchmarks spanning reasoning, instruction following, report generation, file understanding, and skills usage.

June 16, 2026
Making AI usable for UK business leaders: Natural language and unified data foundations key Technology

Making AI usable for UK business leaders: Natural language and unified data foundations key

UK business leaders can now query enterprise data in plain English, thanks to new natural language AI tools. Databricks' UK&I Managing Director explains how moving to modern data architectures like 'lakebase' is key to making AI a business advantage.

June 15, 2026
Meta CTO Andrew Bosworth Admits AI Reorganization Was 'Atrocious' in Internal Memo Technology

Meta CTO Andrew Bosworth Admits AI Reorganization Was 'Atrocious' in Internal Memo

Meta CTO Andrew Bosworth admitted in an internal memo that the company's rollout of its new Applied AI division was 'atrocious,' following widespread employee dissatisfaction. The memo outlines plans to improve communication, limit manager spans, and boost morale through better microkitchens and travel budgets.

June 15, 2026