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Fourteen years after ICANN's last gTLD expansion, registration figures offer an incomplete verdict. The next round will test whether applicants can build namespaces with enduring relevance, rather than merely generating impressive launch volumes and revenues.
Research suggests criminals may control a striking share of newly registered gTLD domains, raising questions about whether ICANN's definitions, contractual safeguards and enforcement mechanisms are keeping pace with the industrial scale of technology-facilitated harm.
DNSSEC adoption is stronger than headline figures suggest, yet uneven across industries. New data indicate the bigger obstacle is not reputation but operational friction, especially key rollovers, registrar coordination and automation still missing across major domains.
DotConnectAfrica's landmark .AFRICA IRP victory established an ICANN accountability precedent later expressly invoked by Amazon. Selective amplification has since detached that precedent from its origins, distorting the historical record.
With more than 1,600 applications filed for ICANN's 2026 new gTLD Round, self-revealing applicants face uncertainty over whether pre-Reveal Day communications and agreements about overlapping strings could violate strict rules against privately resolving contention sets.
With applications closed, new gTLD hopefuls face a changed calculation: revealing strings early could expose contention while information remains financially valuable, helping applicants make better decisions before fees are paid and withdrawal becomes increasingly costly.
Domains Under Management (DUM) measures a namespace's size, but not its character. Structural composition could reveal whether growth reflects durable adoption, speculative holdings or noise, giving registries a richer view of namespace health and strategy.
AI can help applicants navigate ICANN's complex new gTLD process, from business planning and financial modeling to drafting and reviewing applications, pointing towards faster, cheaper and increasingly automated domain-name rounds in the future.
Cyberattacks, AI scraping and relentless bot traffic have transformed CDNs from performance tools into the Web's defensive gatekeepers, reshaping Internet architecture, governance and control as private intermediaries increasingly determine which requests reach origin servers first.
As AI reshapes cybersecurity, attackers are exploiting a fundamental weakness in large language models. Phantom squatting turns hallucinated domain names into trusted attack vectors, creating a new class of DNS abuse that defenders cannot solve by eliminating hallucinations alone.