Key takeaways:

• 77% of C-suite leaders and founders consider .ai domains to have moderate to substantial resale value.
• 19% consider .ai domains as a core asset with high resale value.

Objective: The scarcity of strong, brandable domains puts a decision to brands: invest in a recognized extension and powerful name, or save the budget but run the risk of harming brand credibility with a weaker domain. Understanding the value of a domain, both as a brand asset and a liquid investment, allows brands to budget effectively and make an informed decision on what their domain is worth, long-term.

Question:

How much long-term investment or resale value do you believe .ai domains hold for startups and brands?

• It’s a core strategic asset with high long-term value
• Significant value
• Moderate value
• Limited value
• No investment/resale value

Audience:

C-Suite (e.g., CEO, CFO, COO) and Founders

Overall Results

• 77% of C-suite leaders and founders consider .ai domains to have moderate to substantial resale value.
• 19% consider .ai domains as a core asset with high resale value.

How much long-term investment or resale value do you believe .ai domains hold for startups and brands?

Conclusion

.ai domains may be du jour, but our research shows that a majority of founders and C-Suite leaders consider them here to stay, both as a brand asset and a liquid investment. This can guide brands’ domain strategy and lower the risk of investing big in a prestigious domain.

If you’re interested in digging deeper into our findings, or asking your own questions on domain choice and branding topics, contact thom@atomradar.com to learn more.

Further Reading

• Must-Read Insights on Domain Names Backed by Deep Audience Research
• Startup Domain Choice: The .ai Extension is Credible with 67% of Investors for Startups Outside the AI Industry
• Recognized Domain Extensions Strengthen Brand Trust: 2025 Domain Familiarity Research

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About The Author

Thom Davies

Thom Davies is a researcher at AtomRadar and content strategist for Atom.com. His background in quantitative and qualitative analysis is the foundation for data-led brand strategy.

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