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.
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.
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.
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.
Existing laws can address AI challenges without new regulations. Legal frameworks have adapted to past technologies, and AI should be no exception. The real issue lies in outdated legal immunities, like Section 230, shielding tech companies from AI-driven harms. Accountability should focus on those who create and benefit from AI, not AI itself.
At the end of the 20th century, Manuel Castells gave an outlook into the "Network Society" of the 21st century. One of his forecasts was that the world would move from "bordered places" (sovereign nation-states) to "unbordered spaces" (global networks). A quarter of a century later, we see that he was right and wrong. We do now have "unbordered spaces." We can communicate around the globe anytime with anybody, regardless of frontiers. But the "bordered places" did not disappear. More and more states are insisting on their "digital sovereignty."
"Building our Multistakeholder Digital Future" was the theme of the 19th edition of the UN-based Internet Governance Forum (IGF). It attracted more than 11.000 participants (Offline and Online) from all over the world in Riyadh/Saudi Arabia, December 15-19, 2024. In the 307 plenaries, workshops, open fora, lightening talks and other conversations in the meeting rooms and the lobby halls of the King Abdulaziz International Conference Center (KAICC), nearly everything...
In the wake of the election, sweeping policy shifts in the information economy are set to accelerate. Expect fast-tracked FCC reforms, Starlink subsidies, and AI-driven oversight to redefine media, tech, and regulatory landscapes. From relaxed antitrust to intensified media control, these eleven reversals signal a move toward deregulation and Chicago School libertarianism, with lasting impacts on U.S. markets and governance.
The Summit of the Future (SotF) was held at the United Nations Headquarters in New York on September 22 -- 23, 2024. World leaders, in the presence of stakeholders from the private sector, civil society, academic/technical communities, and youths, endorsed a landmark Pact for the Future of mankind. The Pact for the Future (P4F) (A/RES/79/1) was a significant, consensus-driven but non-binding document agreed upon by world leaders specifically on September 22, 2024.
As if we didn't have a long enough list of problems to worry about, Lumen researchers at its Black Lotus Labs recently released a blog that said that it knows of three U.S. ISPs and one in India was hacked this summer. Lumen said the hackers took advantage of flaws in software provided by Versa Networks being used to manage wide-area networks.
AI is bringing changes to the domain registration process by enhancing user experience, improving registrar operations, and empowering registries. In recent years, AI has entered the industry via the huge growth of new website builders. Today, new developments in the field offer an opportunity to align the interests of all stakeholders, from end user to registry.
Do human rights come into the picture when technology and policy work are involved? If so, where? This is a question that has come up multiple times during the last dozen years, and occasionally even before, in Internet Governance discussions. These discussions have included debates on whether human rights were specifically applicable to protocol design or to the organizations developing protocol standards.
AI technology seems to be a hot topic in every industry, and broadband is no exception. It seems inevitable that AI will be used to help monitor and control complex broadband networks. It looks like the biggest ISPs are already phasing AI into the customer service process. Nobody seems to be able to answer the big question of whether AI will change the amount of broadband the average household uses.
In the same way monarchs are proclaimed - by powerful stakeholders attending a coronation and not objecting - the UN's International Telecommunication Union (ITU) took a mandate last week to coordinate AI Safety worldwide, with most industry leaders and relevant UN agencies were present when it did so.
One of the most common questions I've been asked lately is what I think the impact AI will have on the broadband industry. All of the big ISPs in the industry have actively been pursuing the use of AI. For example, AT&T Labs says it is investigating the use of AI to optimize the customer experience and auto-heal the network. Comcast says that it is using AI to help process petabytes of data every day.