The future of AI agents and Trump’s bid to shield US tech abroad

Artificial Intelligence agents are reshaping how we interact with digital services, while US trade policy seeks to protect tech companies facing overseas taxes and regulations.

Artificial Intelligence agents—systems designed not just to inform but to act on users´ behalf—are at the forefront of technology innovation. Products from major players like OpenAI and Anthropic can already book appointments, fill forms, and help collaborate on code. During a LinkedIn Live event, editors and reporters from the MIT Technology Review discussed the excitement surrounding these ´agentic´ systems, acknowledged their current limitations, and flagged the potential risks of rapid adoption. As agent technology advances, the panel underscored the urgent need for robust guardrails, especially as users begin granting these systems unprecedented autonomy.

In-depth reporting examined looming concerns around Artificial Intelligence agents gaining more power. Researchers warn we are ill-prepared for scenarios where agents could make mistakes or act against users´ interests. There is escalating anxiety about possible uses in cyberattacks, with agents poised to automate hacks at speed and scale previously unthinkable. Another pressing issue is fairness: when agents negotiate with each other—say, to set prices for users—less sophisticated models often lose out, which exacerbates digital inequality. The global race to develop and refine Artificial Intelligence agents is accelerating, with China’s Manus emerging as a formidable new participant.

Meanwhile, the US is leveraging trade policy under the Trump administration to shield its technology giants overseas from foreign taxes, regulations, and tariffs. American tech firms are at the center of fierce global debates over data sovereignty, competition, and digital services regulation. Additional noteworthy developments from the technology world include the drop in web traffic due to Google´s new Artificial Intelligence-driven search features, the shutdown of Amazon’s Shanghai Artificial Intelligence lab, and a new initiative by MIT and Dartmouth scientists to study the collapsing Thwaites ´doomsday´ glacier. The technological landscape continues to be shaped by debates over privacy, innovation, geopolitics, and the profound ethical consequences of Artificial Intelligence in society.

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Nvidia to sell fully integrated Artificial Intelligence servers

A report picked up on Tom’s Hardware and discussed on Hacker News says Nvidia is preparing to sell fully built rack and tray assemblies that include Vera CPUs, Rubin GPUs and integrated cooling, moving beyond supplying only GPUs and components for Artificial Intelligence workloads.

Navigating new age verification laws for game developers

Governments in the UK, European Union, the United States of America and elsewhere are imposing stricter age verification rules that affect game content, social features and personalization systems. Developers must adopt proportionate age-assurance measures such as ID checks, credit card verification or Artificial Intelligence age estimation to avoid fines, bans and reputational harm.

Large language models require a new form of oversight: capability-based monitoring

The paper proposes capability-based monitoring for large language models in healthcare, organizing oversight around shared capabilities such as summarization, reasoning, translation, and safety guardrails. The authors argue this approach is more scalable than task-based monitoring inherited from traditional machine learning and can reveal systemic weaknesses and emergent behaviors across tasks.

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