Greeting Community,
June 26th 2025, Here are the top news in the AI world from this week (June 19-26), as always if we’ve skipped over something important, give us a shout! And don’t forget to cast your vote for the news story that caught your eye the most.
Gartner Predicts 40% of Agentic AI Projects Will Be Scrapped by 2027
According to a new Gartner report, more than 40% of agentic artificial intelligence projects will be canceled by the end of 2027 due to escalating costs and unclear business value. This sobering prediction highlights the growing challenges enterprises face in implementing AI agents that can act autonomously. The research firm points to unrealistic expectations, insufficient infrastructure, and difficulty in measuring ROI as key factors driving project failures. Organizations are advised to focus on clear use cases and establish proper governance frameworks before diving into agentic AI implementations.
NVIDIA Shares Hit All-Time High as AI Infrastructure Demand Surges
NVIDIA shares reached a new all-time high on Wednesday, June 25th, surpassing the previous record intraday high set in January 2025. The surge comes as companies continue to rapidly expand their AI infrastructure capabilities, driving unprecedented demand for NVIDIA’s specialized AI chips. The company’s dominance in the AI hardware market continues to strengthen as enterprises invest heavily in GPU clusters for training and deploying large language models. This milestone reflects the ongoing AI boom and NVIDIA’s central role in powering the next generation of artificial intelligence applications.
Federal Judge Sides with Meta in AI Copyright Case
A federal judge ruled in favor of Meta in a significant AI copyright case, though the decision leaves the door open for similar lawsuits in the future. The case centered around claims that Meta used copyrighted content to train its AI models without proper authorization. While this ruling provides some relief for AI companies facing copyright challenges, legal experts note that the judge’s opinion suggests that future cases with different circumstances could yield different outcomes. The decision adds to the growing body of legal precedent around AI training data and copyright law, an area that remains highly contested across the industry.
Bipartisan Bill Targets Chinese AI in Federal Agencies
Lawmakers introduced bipartisan legislation on Wednesday aimed at blocking Chinese artificial intelligence systems from federal agencies. The bill reflects growing concerns about national security risks posed by AI systems developed by companies with ties to the Chinese Communist Party. Representative Raja Krishnamoorthi emphasized that “artificial intelligence controlled by foreign adversaries poses a direct threat to our national security, our data, and our government operations.” The legislation is part of a broader campaign to ensure American technological sovereignty in the global AI competition, with particular focus on preventing hostile regimes from embedding code in sensitive government systems.
US AI Regulation Debate Intensifies Over State vs Federal Authority
The debate over AI regulation in the United States heated up this week as Republican and Democratic Senate leaders clashed over a proposed 10-year federal moratorium on state regulation of artificial intelligence. The contentious measure would potentially be tied to billions of dollars in federal funding to help states improve broadband infrastructure. Critics argue that preventing states from regulating AI could leave significant gaps in oversight, while supporters contend that a unified federal approach is necessary to prevent a patchwork of conflicting regulations that could stifle innovation. The outcome of this debate could fundamentally shape how AI is governed across the United States for years to come.
What story caught your attention the most this week? Let us know in the comments below!