Artificial Intelligence

The Public Interest and the Root: Why the Next Round Demands a Public Law Approach to DNS Governance

As ICANN prepares to expand the domain name space, calls grow for a public-law framework to govern the DNS root, ensuring global equity, transparency, and accountability in managing the Internet's core infrastructure.

How the Growth of AI May Drive a Fundamental Step-Change in the Domain Name Landscape

As artificial intelligence reshapes how users navigate the web, domain names may undergo explosive growth, potentially reaching tens of billions. A new infrastructure of trusted digital identities could become essential for AI agents.

FCC to Review State AI Regulation

The FCC is considering whether it can preempt state-level AI regulations using telecommunications law. Legal precedent and jurisdictional ambiguity, however, make such a maneuver uncertain and likely to face significant industry and judicial resistance.

Leased, Not Owned: Why the Future of the Internet Is Likely Subscription-Based

From software to network architecture, the internet is shifting from ownership to on-demand access. Subscription models now underpin the digital economy, offering scalability and agility while raising fresh questions about control, cost and compliance.

Big Tech AI Companies Should Invest in Energy and AI Infrastructure in Africa

Big Tech firms should back Africa's AI future by investing in its vast energy resources and infrastructure needs. Doing so offers a strategic answer to growing data demands and an opportunity for shared prosperity.

Connectivity in Every Language: Building a Multilingual Internet Together

Around the world, communities are racing to close the digital divide. From fiber deployments in rural areas to affordable smartphones and digital skills training, the goal is clear: connect the unconnected. But as we pursue that goal, a deeper question emerges that demands just as much urgency as infrastructure: When people get online, can they actually participate in the digital world?

AI in Academia: Tool or Trap? Balancing Innovation and Intellectual Honesty in the Digital Age

AI has revolutionized how we process information, optimize tasks, and conduct research. However, its integration into academia sparks ethical and practical debates. Should we limit its use? How can we assess a student's true knowledge if they employ these tools? This text explores these questions from the perspective of a technology expert who argues that banning AI is as absurd as rejecting calculators or spreadsheets in the past.

Cloud-Edge Collaboration: The Inevitable Future of AI Computing

Over the past decade, cloud computing has experienced explosive growth, evolving from its nascent stage to widespread adoption and fundamentally changing how businesses and individuals use information technology. At the same time, traditional on-premise computing, while still having its use cases, has been progressively integrated with, and often even controlled by, Cloud Service Providers (CSPs) in many aspects.

An Internet Infrastructure Perspective on AI Service Provision

This study analyzes the differences in domain name and IP address strategies among a number of current mainstream artificial intelligence (AI) service providers. We find that these technical choices not only reflect deployment decisions but also deep-seated corporate knowledge and capabilities in Internet infrastructure service provision, as well as brand positioning and market strategies.

Have LLMs Broken Fair Use?

Two sets of authors sued Anthropic and Meta in San Francisco for copyright infringement, arguing that the companies had pirated their works to train their LLMs. Everyone agreed that a key question was whether fair use allowed it, and in both cases, the courts looked at the fair use issue before dealing with other aspects of the cases. Even though the facts in both cases were very similar, last week, two judges in the same court wrote opinions, coming to very different conclusions. How can that happen? Is fair use broken?

What Can We Learn From 160 Years of Tech Diplomacy at ITU?

On 17 May 1865, 20 European states convened to establish the International Telecommunication Union (ITU) to streamline the clunky process of sending telegraph messages across borders. 160 years later, ITU's anniversary is more than a mere commemorative moment; it is a stark reminder that multilateral cooperation is beneficial and necessary in our increasingly interconnected world.

Tech Continuity in President Trump’s First 100 Days

Tech developments saw less drama than trade and environmental shifts during Trump's first 100 days. Continuity, not abrupt change, defined his approach to AI and digital regulation. Only 9 of 139 executive orders (EOs) focused on tech. Trump's tech policy emphasised reviews and incremental shifts. Public consultations on AI, cybersecurity, and cryptocurrencies signal steady evolution over upheaval.

Breaking the AI Bottleneck: The Future of High-Density Data Centers

Artificial intelligence (AI) has become synonymous with innovation, transforming industries at an unprecedented pace. While some may frame AI as a groundbreaking development of our time, it's essential to acknowledge that its roots run deep. AI has evolved immensely from early tools like the abacus to present-day GPU-driven large language models. What sets the current landscape apart? The sheer scale of data, computational demand, and complexity of workloads.

Br’AI’ve New World - Part 1: Brand Protection ‘Clustering’ as a Candidate Task for the Application of AI Capabilities

As counterfeit networks grow more elusive, AI-driven clustering could revolutionize brand protection. By linking disparate findings, identifying serial infringers, and enabling bulk enforcement, AI offers a smarter approach to monitoring and takedown efforts. Yet, challenges remain - from data reliability to analyzing complex content. Companies that master AI-driven clustering may gain a significant advantage in the fight against brand abuse.

AI in Telecom

NVIDIA recently issued its third annual State of AI in Telecommunications report. The company manufactures many of the cards used in AI data centers, so the company is clearly focused on AI adoption. NVIDIA issues similar reports for other industries. The 2025 report is the result of a survey that NVIDIA administered to 450 telecom professionals across the globe.