Robinhood Opens Stock Trading to AI Agents

On May 27, Robinhood announced a new feature that lets users autonomously trade stocks through AI agents. Users create a dedicated account pre-loaded with a balance, and the AI agent executes trades within that limit.

According to TechCrunch, the feature stands apart from conventional robo-advisors in that the AI agent makes buy and sell decisions on the user's behalf. The Wall Street Journal also reported the same day that "Robinhood enables AI-powered stock trading and credit card payments," drawing attention as a full-scale commercial rollout of AI agents in financial services.

That said, AI-agent-driven financial trading is likely to spark debate from regulatory and risk-management standpoints. Challenges remain on the road to practical adoption, including where liability falls when losses occur and how transparent the agent's decision-making algorithms are.

Altman and Amodei Walk Back "AI Job Destruction" Predictions

It has been reported that OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei have effectively walked back their earlier predictions of massive AI-driven job losses. The Decoder's article notes that this about-face comes just as both companies are preparing for multibillion-dollar IPOs.

In a similar vein, NVIDIA CEO Jensen Huang drew attention on Hacker News for saying that CEOs who carry out layoffs in the name of AI should shut up. Huang's remark is being read as criticism of companies using AI to justify headcount reductions.

TechCrunch also reported that Box CEO Aaron Levie said tech CEOs are prone to "AI psychosis," arguing that a near-religious faith in AI's productivity gains is warping executives' judgment.

Taken together, these moves suggest that AI industry leaders are shifting toward a more cautious tone on the technology's impact on jobs. Whether this amounts to a genuine change of thinking or a strategic recalibration of rhetoric with IPOs and regulatory scrutiny in mind will bear continued watching.

China Adds AI to Its Surveillance Camera Network — Fears of Mass Behavioral Surveillance

It has been reported that police in China are upgrading millions of aging surveillance cameras installed across the country with AI. According to The Decoder, manufacturers such as Hikvision and Huawei are shipping cameras with built-in computer vision and language models, making it possible to automatically detect crowds and identify suspicious behavior and unauthorized access.

Officers who previously had to review footage manually can now search it simply by typing text queries, the report says. Human Rights Watch has warned that this creates behavioral surveillance "at a scale never seen before."

The rapid deployment of AI-powered surveillance technology could raise international concern from privacy and human rights perspectives. In particular, the approach of layering AI on top of an existing, extensive camera infrastructure could pave the way for similar deployments in other countries.

SK Hynix Joins the Trillion-Dollar Club — The AI Chip Boom Continues

The market capitalization of SK Hynix, a leading South Korean memory chip maker, has surpassed $1 trillion. According to Reuters, SK Hynix follows Samsung and Micron into the trillion-dollar club on the back of surging AI chip demand. Demand for high-bandwidth memory (HBM) for AI data centers is seen as driving the company's growth.

The expansion of the AI semiconductor market is rippling across the entire supply chain, including memory chips, not just traditional GPU makers.

UK Law Firm Reprimanded by Court Over Mistakes in AI Use

The Financial Times reported that Pinsent Masons, a major UK law firm, received a reprimand from a court over mistakes related to its use of AI tools. The details are behind a paywall, but the case, which throws the risks of AI use in legal work into sharp relief, also became a talking point on Hacker News.

While AI hallucinations and factual errors have already become an issue in US court proceedings, a major UK firm being officially reprimanded underscores once again the importance of establishing guidelines for AI use in the professions.

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