In the AI Economy, trust has become machine-readable
- ID
- 25628
- Status
- summarized
- Published
- 18 Sep 2026, 12:10 AM
- Fetched
- 18 Sep 2026, 12:52 AM
- Provider
- Digital News Asia
- Category
- malaysia-tech
- Original URL
- https://www.digitalnewsasia.com/insights/ai-economy-trust-has-become-machine-readable
- Source URL
- https://www.digitalnewsasia.com/rss.xml
Summary
- Score
- 6.5
- Created
- 18 Sep 2026, 12:52 AM
- Tags
- Audience
- saas_foundersai_agent_usersai_ml_learners
What happened
Farrell Tan argues that AI assistants (ChatGPT, Gemini, Claude, Perplexity) are increasingly the starting point for knowledge-intensive decisions—hiring, funding, vendor selection—rather than search engines. The core observation from client work is that AI systems produce stronger, more confident answers about an organization when the same information is corroborated across multiple independent sources, not just asserted on the company's own website. This extends Google's E-E-A-T framework from a ranking factor into raw material AI uses to construct narratives about your company.
Why it matters
Founders and operators should audit what ChatGPT, Gemini, and Perplexity actually say when asked to describe or compare their company to competitors—then ensure key facts (what you do, who you serve, differentiators) appear consistently across multiple independent sources, not just your own site. If your company's public information is scattered or self-asserted only, AI assistants may synthesize thin or wrong answers that prospective clients, investors, and candidates will never show you.
Discussion angle
Try it live: ask ChatGPT or Perplexity to compare your company against two competitors and see what it gets right, wrong, or omits—then discuss what independent sources you'd need to fix the gaps.