March 19, 2025

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AI Art Copyright Ruling, Global Investment Shift, and Employee Pushback

AI Art Cannot Be Copyrighted, Federal Appeals Court Rules

A federal appeals court has ruled that art created autonomously by artificial intelligence cannot be copyrighted, saying that at least initial human authorship is required for a copyright. The ruling on the AI painting "A Recent Entrance to Paradise" upheld an initial decision by the U.S. Copyright Office and a subsequent decision by a lower federal court judge in favor of the office. Computer scientist Stephen Thaler said his Creativity Machine created the painting "on its own" in 2012. The ruling noted that the Copyright Office "formally adopted the human authorship requirement in 1973" and that "authors are at the center of the Copyright Act." The panel said that the Copyright Office "cannot register this work because it lacks the human authorship necessary to support a copyright claim." Thaler's lawyer, Ryan Abbott, said they plan to appeal the decision to the U.S. Supreme Court.

Judge Dismisses Star Trek Icon Data's Poetry While Ruling AI Can't Author Works

A computer scientist who tried to register an artwork that credited an artificial intelligence system as the sole author lost his appeal on Tuesday. Stephen Thaler's AI software cannot be granted authorship, according to a three-judge panel for the Court of Appeals for the District of Columbia Circuit. Judge Patricia Millett wrote in her opinion that copyright law 'requires all work to be authored in the first instance by a human being.' Thaler had argued that copyright laws were woefully outdated and that laws should change to copyright works made by a generative AI software. However, the court ruled that human authorship is required for registration. Thaler is not planning to back down from the fight, arguing that his Creativity Machine is 'sentient.'

UA Little Rock Hosts Tech Launch Panel on AI Investment with Argentinian Experts

A special event at UA Little Rock featured a panel discussion on AI trends, bringing together experts from Celara Labs to explore the future of artificial intelligence and its impact on business and technology. Marla Johnson, UA Little Rock’s tech entrepreneur-in-residence, moderated a conversation with industry leaders Pablo Abdian, CEO and co-founder of Celara Labs, and Zubair Talib, executive director at Celara Labs. The panelists discussed real-world applications of AI, including a predictive model for football game outcomes that initially boasted 94 percent accuracy but later failed due to an unexpected social factor. They also addressed the global AI investment landscape, with Talib acknowledging the U.S. as a leader in AI, engaged in a competitive race with China.

Rising AI Investments to Boost Micron Technology's Q2 Earnings

Micron Technology, Inc. MU is set to release its second-quarter fiscal 2025 results after the market closes on March 20, and the company is likely to deliver another robust performance. Powered by surging artificial intelligence (AI) investments and key partnerships with tech giants, Micron is emerging as a critical player in the ongoing semiconductor transformation. Micron has found itself in a sweet spot amid the AI revolution, which is driving skyrocketing demand for memory and storage solutions. AI systems — particularly large language models (LLMs) and generative AI applications — require massive data processing and storage capabilities, creating a growing need for high-performance DRAM.

An Early Look at Cryptographic Watermarks for AI-Generated Content

An early look at cryptographic watermarks for AI-generated content is a promising new approach to making AI content distinguishable as such without impacting the performance of the model. The basic idea of watermarking is to modify the training process, the inference process, or both so that an artifact of the model embeds some identifying information of the model from which it originates. This way a model operator, or potentially the consumer of the content themselves, can determine whether some artifact came from the model by checking for the presence of the watermark.

Tencent Joins China's AI Spending Race with 2025 Capex Boost

Chinese technology giant Tencent said on Wednesday it would boost capital expenditure in 2025, as it strengthens artificial intelligence development and infrastructure. Tencent President Martin Lau told reporters in a post-earnings call that capital spending would rise to the "low teens" as a percentage of revenue, with AI as a key focus of strategic investments. Capital expenditure for 2024 surged to $10.7 billion from $3.4 billion a year earlier, to reach 12% of total revenue, Lau said.

Researchers Say They've Discovered a New Method of Scaling Up AI, But There's Reason to Be Skeptical

Have researchers discovered a new method of 'scaling up' AI, but there's reason to be skeptical. AI scaling laws, a bit of an informal concept, describe how the performance of AI models improves as the size of the datasets and computing resources used to train them increases. Until roughly a year ago, scaling up “pre-training — training ever-larger models on ever-larger datasets — was the dominant law by far, at least in the sense that most frontier AI labs embraced it. Pre-training hasn’t gone away, but two additional scaling laws, post-training scaling and , have emerged to complement it.

Companies' Biggest Barrier to AI Isn't Tech — It's Employee Pushback

Companies' biggest barrier to AI isn't tech — it's employee pushback. Here's how to overcome it. When company leaders introduce AI to their workforces, they often face employee skepticism. Colgate-Palmolive and Rent a Mac use employee feedback and data to address AI pushback. Colgate-Palmolive created an internal hub through which anyone in the organization could input their natural language with instructions to build a personalized AI assistant and solve inefficient processes in their day-to-day work.

Nvidia and xAI Sign On to $30 Billion AI Infrastructure Fund

Elon Musk’s xAI and chipmaker Nvidia have joined a $30 billion artificial intelligence (AI) infrastructure project. The AI Infrastructure Fund, backed by , and Abu Dhabi AI investment group , aims to raise up to $100 billion for artificial intelligence (AI) development. The global buildout of AI infrastructure will benefit every company and country that wants to achieve economic growth and unlock solutions to the world’s greatest challenges,” , founder and CEO of Nvidia, said in the announcement.

Nvidia Showcases New Chips While AI Stocks Slide

Nvidia is hosting its annual GPU Technology Conference, and kicked off the week with news of its next-generation chips, amping up analysts’ expectations of the company’s growth path. The event occurs amid a market environment that seems ready to question the sustainability of the chipmaker’s growth, as the big AI-powered tech stocks have fallen hard in recent weeks.

Key Takeaways

  • AI art cannot be copyrighted, according to a federal appeals court ruling.
  • The global AI investment landscape is shifting, with the U.S. and China engaged in a competitive race.
  • Employee pushback is a significant barrier to AI adoption, but companies can overcome it by using employee feedback and data.
  • The AI infrastructure market is growing, with Nvidia and xAI joining a $30 billion project.
  • AI stocks have fallen hard in recent weeks, raising questions about the sustainability of the chipmaker's growth.

Sources

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