Artificial Intelligence

The TLD Fight Is On: 1,615 Applications, and One Question Nobody Is Asking

ICANN's 2026 new gTLD round attracted 1,615 applications, with competition concentrated on contested extensions. Strong registration growth contrasts with weak renewal rates, raising questions about long-term demand and commercial viability.

From Apps to Agents: How the 2026 New gTLD Strings Mirror a Changed Internet

ICANN's 2026 new gTLD applications reveal a shift toward AI agents, developer infrastructure and digital trust, with .agent replacing .app as the most contested string amid growing competition and persistent geographic disparities.

AI Is Raising the Stakes for Language Inclusion on the Internet

Research from the Coalition on Digital Impact reveals persistent barriers to online participation in native languages, raising concerns that AI could deepen linguistic inequalities unless language support becomes a foundational requirement of digital infrastructure.

Who Checks the Models? The Case for UN Oversight of Frontier AI

As AI agents demonstrate increasingly autonomous behavior, Gabriel Accascina proposes a UN-led evaluation system modeled on WHO prequalification, using independent testing and government procurement incentives to strengthen international oversight of frontier AI.

The Economics Behind AI’s Infrastructure Boom

AI's infrastructure boom is consuming vast amounts of capital, power and computing hardware, raising questions about whether advertising, subscriptions and corporate spending can ultimately support the industry's expanding cost base.

Africa Is Adopting AI but Who Is Governing the Risks?

African institutions are adopting AI across public services and business, but effective deployment requires governance structures that address cybersecurity, accountability, procurement, digital sovereignty, regulatory coordination and institutional capacity.

How AI Answer Engines Are Quietly Rewriting What Makes a Domain “Brandable”

As AI answer engines become referral channels, domain distinctiveness may matter more than exact-match search intent, challenging traditional valuation models built around keyword demand, traffic and historical sales.

Taming Shadow AI: Closing the Context Gap in Enterprise AI Security

Shadow AI exposes sensitive enterprise data when employees use unsanctioned AI tools. Context-aware guardrails can reduce leakage and false positives by combining deterministic rules, contextual inspection, graduated enforcement and centralized observability.

US AI Policy Applies Two Scales at Home and Abroad

The danger the White House dismisses at home has justified restricting frontier models abroad. Now, as Trump meets Xi Jinping, competing forces within his administration could determine who writes global AI rules and in what register.

Why Container Security Is Still Fighting Yesterday’s Battle

Rule-based container security can miss attacks that evade predefined patterns, prompting an argument for behavioral detection that models activity across Kubernetes workloads and control planes while retaining rules for known threats.