Breaking news

OpenAI Agrees To DOJ Oversight In Green Card Hiring Settlement

OpenAI has agreed to three years of federal oversight of its hiring practices after reaching a settlement with the U.S. Department of Justice over allegations linked to employment-based green card applications.

The agreement also covers Statsig, an AI testing company that was previously owned by OpenAI. While neither company admitted wrongdoing, they agreed to pay a total of $3.2 million, including a $1.2 million civil penalty and $2 million earmarked for potential compensation of U.S. applicants found to have been affected.

Hiring Practices Under Scrutiny

The Justice Department alleged that the companies failed to properly recruit qualified U.S. workers before sponsoring foreign employees for permanent residency, as required under the Immigration and Nationality Act.

According to the DOJ, some positions were not advertised through standard public channels, job announcements aired on late-night radio, and applications were accepted only in paper form, practices the department said could discourage U.S. candidates from applying.

Although the case involved fewer than 10 positions, the settlement requires OpenAI and Statsig to implement new hiring policies, submit them for government approval and provide semiannual reports detailing PERM applications, interviews with U.S. candidates and other recruitment data.

Part Of A Broader Enforcement Effort

The Justice Department said the investigation began in 2025, before OpenAI acquired Statsig later that year. The inquiry covered five OpenAI cases between 2023 and 2025, along with one involving Statsig.

Officials described the settlement as part of a broader effort to enforce employment rules governing permanent residency sponsorships. Similar cases have previously been brought against major technology companies, including Apple and Facebook, under the same legislation.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

Uol
eCredo
Aretilaw firm
The Future Forbes Realty Global Properties

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter