Why Brands Must Humanise the AI Narrative - Running Wolf's Rant

2026-05-14 · Source: artifical intelligence via Google News · Field: Business & Management — Marketing, Branding & Advertising, Corporate Strategy & Leadership · Depth: Fundamental Awareness, quick

Summary

Mandy Davis, Managing Director at Penquin, emphasizes that brands must shift their focus from AI's technical capabilities to managing public perception and building trust. While AI offers efficiency and creativity, it also generates skepticism regarding job displacement, data privacy, and misinformation. Davis argues that brands often neglect how AI makes people feel, creating significant reputational risk. She advocates for transparency and proactive communication about AI usage, explaining customer benefits and human oversight. Authenticity is crucial, as obscuring AI usage can backfire; acknowledging both benefits and limitations builds credibility. Brands should also lead with their values, demonstrating responsible AI use through ethical guidelines and transparent data practices to foster trust.

Key takeaway

For AI Product Managers developing new solutions, your communication strategy must prioritize building trust by humanizing the AI narrative. Focus on transparently explaining how your AI benefits customers and where human oversight is maintained, rather than just technical features. This approach will mitigate reputational risks and foster greater public acceptance and confidence in your brand's AI initiatives.

Key insights

Effective AI adoption requires brands to prioritize trust and human-centered communication over technical capabilities.

Principles

• Perception management is a strategic priority.
• Authenticity builds more credibility than perfection.
• Trust is the most valuable currency.

Method

Proactively articulate why AI is used, how it benefits customers, and where human oversight remains. Lead with values, ethical guidelines, and transparent data practices.

In practice

• Communicate AI usage transparently.
• Highlight human oversight in AI processes.
• Share ethical AI guidelines publicly.

Topics

• Artificial Intelligence
• Brand Perception
• Trust and Transparency
• Ethical AI Use
• Communication Strategy

Best for: Executive, AI Product Manager, Product Manager, Marketing Professional, Consultant, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.