Your boss might be bluffing about how much AI knowledge they really have

TechRadar's survey reveals that 23% of bosses may be overstating their AI expertise, while almost half of respondents say they value AI skills more than formal qualifications. For website owners, this disconnect signals a growing demand for transparent AI governance on their sites. Managers who claim AI competence might still overlook the practical steps needed to monitor AI-driven traffic, leading to hidden bot activity that can skew analytics, inflate ad revenue, or trigger security alerts. If leadership assumes AI knowledge without implementing proper controls, sites risk non‑compliance with emerging bot‑identification standards and may miss opportunities to optimize user experience for genuine AI interactions. **Actionable tips:** 1. Update your llms.txt file to explicitly list any AI models or agents allowed to crawl your site, including version numbers, to give managers concrete evidence of compliance. 2. Deploy an AI‑bot detection layer (e.g., server‑side fingerprinting or a CDN‑based bot‑management tool) and integrate its logs with your analytics dashboard, so you can demonstrate real traffic composition to skeptical executives. 3. Schedule quarterly reviews of AI bot traffic reports and share them with leadership, using the data to validate or challenge claimed AI expertise and to refine your llms.txt policy accordingly.