OpenAI, Anthropic Eye Funds for Lawsuits; Nvidia, AMD Lead Investment

Major AI players OpenAI and Anthropic are reportedly exploring the use of investor funds to cover potential multibillion-dollar lawsuits related to copyright infringement and defamation claims stemming from their AI models' training data. Insurers are hesitant to offer comprehensive coverage for these risks, prompting the companies to consider self-insurance or internal subsidiaries. Meanwhile, the broader AI industry is seeing developments in security and healthcare. Varonis Systems has launched Varonis Interceptor, an AI-powered email security tool designed for rapid deployment to combat social engineering attacks across various platforms like Microsoft Teams and Slack. In healthcare, Microsoft Healthcare is focusing on AI as a partner for clinicians to improve decision-making and patient access to information, while Suki is forming a nursing consortium to enhance its AI assistant tools for clinical workflows. Investor sentiment suggests focusing on the AI supply chain, including companies like Nvidia and AMD, rather than direct AI model developers, as a more stable investment strategy. Concerns about AI's ethical implications, including bias in financial sectors and its significant environmental impact due to energy and water consumption, are also being raised, alongside discussions on the need for improved regulatory frameworks. Despite some concerns about AI's economic impact and job displacement, experts suggest AI primarily enhances human capabilities by automating routine tasks, leading to new roles and improved efficiency.

Key Takeaways

• OpenAI and Anthropic are considering using investor funds to settle potential multibillion-dollar lawsuits concerning AI training data.
• Insurers are reluctant to provide full coverage for the substantial risks associated with AI companies like OpenAI and Anthropic.
• Varonis Systems has released Varonis Interceptor, an AI-driven email security tool that deploys in five minutes to block social engineering attacks.
• Microsoft Healthcare is developing AI as a supportive tool for clinicians to enhance patient care and decision-making.
• Investment advice suggests focusing on the AI supply chain, naming Nvidia and AMD as examples, rather than AI model developers.
• Experts highlight the need for improved ethical frameworks and regulations for AI, with NIST and BRICS nations developing standards.
• Concerns exist regarding AI's significant environmental impact, including high energy and water consumption.
• RBI Deputy Governor T Rabi Sankar warned the financial sector about AI bias and the need for human oversight.
• Some experts believe AI enhances jobs by automating tasks, allowing humans to focus on higher-value activities.
• Brands are advised to use AI through Answer Engine Optimization (AEO) for visibility and sales, leveraging strategic press coverage.

OpenAI, Anthropic explore using investor funds for AI lawsuits

AI companies OpenAI and Anthropic are reportedly considering using money from investors to settle potential lawsuits that could cost billions of dollars. This comes as insurance companies are hesitant to provide full coverage for the massive risks associated with AI technology. The companies are facing claims related to copyright infringement and defamation due to the data used to train their AI models. This situation highlights the growing legal and financial challenges in the rapidly advancing field of artificial intelligence.

AI firms OpenAI, Anthropic may use investor cash for lawsuits

OpenAI and Anthropic are looking into using funds from their investors to settle potential lawsuits that could amount to billions of dollars. The Financial Times reported this, citing sources familiar with the matter. Insurers are reportedly reluctant to offer comprehensive coverage for the significant risks involved with AI companies. This situation arises as both companies face legal challenges over the data used to train their large language models.

Insurers struggle with huge AI risks for OpenAI and Anthropic

Insurance companies are finding it difficult to assess and cover the massive financial risks posed by artificial intelligence. Insurers are hesitant to provide coverage for potential multibillion-dollar claims against AI companies like OpenAI and Anthropic. The rapid development of AI has created complex risks, such as biased algorithms and autonomous systems, which are hard for underwriters to quantify. This lack of adequate insurance could slow down AI development as companies may fear deploying new technologies without sufficient protection against liabilities.

OpenAI, Anthropic may use investor funds to settle copyright suits

AI startups OpenAI and Anthropic are reportedly considering using investor funds to settle multibillion-dollar lawsuits. These legal challenges stem from allegations that the companies used copyrighted material without permission to train their large language models. Insurance companies are hesitant to provide coverage due to the scale of these risks. OpenAI faces a lawsuit from The New York Times, while Anthropic is dealing with a similar suit from a group of authors.

Insurers hesitant on AI lawsuits facing OpenAI and Anthropic

OpenAI and Anthropic are thinking about using investor funds to settle potential multibillion-dollar lawsuits. However, insurers are reluctant to offer full coverage for the risks associated with AI. Traditional insurance policies fall short of the amounts needed for these large legal claims. Insurers worry about systemic risks from major AI errors that could exceed their coverage capacity. Both companies have explored options like self-insurance and setting up their own insurance subsidiaries.

Varonis launches AI email security tool Interceptor

Varonis Systems has released Varonis Interceptor, a new email security solution using advanced AI to block social engineering attacks. The tool, developed from the acquisition of SlashNext, identifies and stops phishing threats in real-time, even from trusted sources. Interceptor offers multi-channel protection for platforms like Microsoft Teams and Slack, automated threat removal, and a live threat intelligence database. It is designed for quick, five-minute deployment and helps organizations defend against evolving AI-driven cyber threats.

Varonis Interceptor uses AI to stop data breaches

Varonis Systems has launched Varonis Interceptor, an AI-powered email security product designed to stop social engineering attacks. The solution uses advanced AI capabilities from the recent SlashNext acquisition to detect threats that other security tools might miss. Interceptor protects users across email and collaboration apps like Microsoft Teams and Slack. It offers automated threat removal and a live threat intelligence database. The company states the product can be deployed in just five minutes.

Varonis Interceptor AI email security deploys in 5 minutes

Varonis launched Varonis Interceptor on October 8, 2025, an AI-native email security product designed to stop AI-powered social engineering breaches. Powered by the acquisition of SlashNext, Interceptor uses AI models like NLP and computer vision to detect phishing from trusted or compromised senders. Key features include multi-channel protection across email and collaboration apps, automated remediation, live threat intelligence, and an AI phishing sandbox. The company claims the API-based deployment takes only five minutes and includes a historical look-back feature.

Microsoft Health exec discusses AI's role in patient care

James Weinstein, senior vice president of Microsoft Healthcare, spoke with Dean Henri Ford about how new technologies are changing healthcare. Weinstein demonstrated how an AI chatbot could quickly explain a medical condition, showing its potential to help patients access information. He emphasized that AI is meant to be a partner for clinicians, helping them make better and faster decisions, rather than replacing them. Microsoft Healthcare is focused on advancing AI-enabled systems to improve the quality and efficiency of care.

Suki forms nursing group for AI assistant development

Suki, a company specializing in AI clinical support tools, has launched a nursing consortium to improve AI assistant integration. This group of nurse leaders will provide insights to help Suki develop AI tools that work better with electronic health record workflows. The new platform, Suki for Nurses, aims to help manage tasks like patient assessments and admission forms. Members include health systems using Epic, Oracle Health EHR, and Meditech. Suki aims to reduce administrative burdens and allow nurses to focus more on patient care.

Smart AI investing focuses on supply chain, not breakthroughs

Smart investors should focus on the AI supply chain rather than trying to predict major breakthroughs, according to an opinion piece. The supply chain for AI is long and complex, with bottlenecks offering opportunities for profit. Examples include chip designers like Nvidia and AMD, data center infrastructure, and specialized components like gas turbines and high-bandwidth memory (HBM). Identifying these critical points in the supply chain can be a more reliable investment strategy than betting on the success of large language model developers.

AI ethical frameworks need improvement, experts say

Experts are discussing the need for better ethical frameworks and regulations for artificial intelligence. The U.S. National Institute of Standards and Technologies (NIST) is working on AI standards, while BRICS nations have developed their own. Panelists at Stanford highlighted the 'wild west' nature of AI without clear regulations, emphasizing the need for boundaries and liability. There's a call for broader multi-stakeholder involvement and open-source communities. Companies are also developing internal practices, like AI insurance, to manage risks.

RBI warns financial sector on AI bias and risks

RBI Deputy Governor T Rabi Sankar urged the financial sector to be cautious about biases when training artificial intelligence (AI) systems. Speaking at the Global Fintech Fest in Mumbai, he stressed the need for human oversight to prevent risks like opacity and discrimination. Sankar warned that AI systems can amplify existing societal biases if not carefully designed and monitored. The RBI is exploring AI's use but also developing a framework for its responsible deployment to ensure ethical and accountable practices.

Steve Eisman: US economy struggles without AI spending

Investor Steve Eisman warns that the U.S. economy is experiencing stagnation when artificial intelligence spending is removed from the equation. He describes the economy as a 'tale of two cities,' where AI infrastructure investments by major tech companies mask underlying weakness. Eisman estimates that AI spending accounts for a significant portion of projected GDP growth. This concern is amplified by signs of a struggling consumer, including rising household debt in areas like auto loans and student loans.

AI enhances jobs, doesn't steal them, says expert

Ambuj Kumar, CEO of Cyera, believes artificial intelligence is not a job stealer but rather a tool that enhances human capabilities. He explains that AI excels at automating routine tasks and triaging alerts, freeing up humans for higher-value roles like strategic thinking and complex problem-solving. Kumar addresses myths about AI eliminating jobs, stating it creates new roles like AI trainers and incident commanders. The most effective approach is a hybrid human-AI model where AI empowers workers, leading to better outcomes and reduced burnout.

Brands need AI for discovery via Answer Engine Optimization

Brands must leverage AI through Answer Engine Optimization (AEO) to gain visibility and sales, according to an article on brand discovery. AI-driven platforms like ChatGPT now influence consumer searches, with many shoppers asking AI tools directly for recommendations. To be discovered by AI, brands need strategic press coverage using SEO keywords, an affiliate program, and an optimized website. Public relations professionals play a key role in securing this coverage, helping brands appear in AI search results and drive sales.

AI's environmental impact makes responsible use impossible

An opinion piece argues that there is no ethical or responsible way to use artificial intelligence due to its severe environmental impact. AI data centers consume vast amounts of energy and water, potentially negating progress in renewable energy and exacerbating water shortages. Forecasts show AI's energy demands could skyrocket, overwhelming even growing renewable supplies. The article highlights the environmental costs, including carbon emissions and water usage, suggesting AI's growth poses a significant threat to planetary habitability.

Sources

• OpenAI, Anthropic eye investor funds to settle AI lawsuits, FT reports
• OpenAI, Anthropic eye investor funds to settle AI lawsuits, FT reports
• Insurers balk at multibillion-dollar claims faced by OpenAI and Anthropic
• OpenAI and Anthropic Weigh Using Investor Funds to Settle Copyright Lawsuits
• Insurers hesitate at multibillion-dollar claims faced by OpenAI, Anthropic in AI lawsuits
• Varonis Systems Launches Interceptor: Advanced AI-Powered Email Security to Combat Social Engineering Attacks
• Varonis Launches Interceptor: AI-Native Email Security to Stop Data Breaches Before They Start
• 5‑Min Deployment: Varonis Interceptor AI-native email security stops AI-powered phishing
• Podcast: Microsoft Health Exec Talks Patient Empowerment and the Future of AI
• Suki launches nursing consortium to improve AI assistant integration
• Smart AI Investing Isn’t About Chasing the Big One
• Ethical Frameworks For AI: Are They Good Enough?
• 'Watch out for biases while training AI' - The Times of India
• 'Big Short' investor Steve Eisman warns the U.S. economy is a 'tale of two cities' that 'is not even growing 50 basis points outside of AI'
• Is artificial intelligence about to steal your job? [Q&A]
• If You Want Your Brand to Be Discovered, You Have to Harness AI
• There is no ethical or responsible way to use Artificial Intelligence.