OpenAI Develops AI Chips, Google & Meta Eye Hardware

The artificial intelligence landscape is rapidly evolving, with major players investing heavily and developing custom solutions. Volkswagen is committing up to 1 billion euros by 2030 to integrate AI across its operations, aiming for significant cost savings of up to 4 billion euros by 2035 and a 25% acceleration in vehicle development. This includes a partnership with Dassault Systèmes for an AI-supported development environment. Meanwhile, OpenAI is reportedly working with Broadcom to develop its own AI chips, with launches anticipated in 2025 or 2026, to reduce reliance on Nvidia and boost efficiency. This mirrors efforts by tech giants like Google and Meta to create custom AI hardware. In customer-facing applications, Ralph Lauren, with Microsoft's assistance, has launched 'Ask Ralph,' an AI stylist within its mobile app that offers personalized, shoppable outfit recommendations. Citigroup is also bolstering its AI strategy by hiring an IBM executive to lead initiatives and has already deployed AI tools to approximately 175,000 employees. The broader impact of AI is being felt across industries; the tourism economy is expected to increasingly rely on AI for streamlining design and enhancing guest experiences, while cybersecurity is being revolutionized by AI-powered predictive analytics that proactively identify threats. However, significant security risks remain, as a report indicates 83% of companies lack safeguards against employees uploading sensitive data to public AI tools. In Europe, Custocy and Enea have deployed an AI-powered Network Detection and Response solution for the Haute-Garonne Departmental Council, marking a large-scale French AI cybersecurity initiative. On the research front, Thinking Machines Data Science becomes OpenAI's first APAC services partner, aiming to help businesses in the region achieve tangible AI results. The inherent complexities of controlling advanced AI are also highlighted, with challenges in limiting the knowledge of Artificial General Intelligence (AGI) to prevent misuse.

Key Takeaways

  • Volkswagen plans to invest up to 1 billion euros in AI by 2030, expecting to save up to 4 billion euros by 2035 and speed up vehicle development by at least 25%.
  • OpenAI is reportedly developing its first in-house AI chips with Broadcom, aiming for a 2025 or 2026 launch to reduce dependence on Nvidia.
  • Ralph Lauren launched 'Ask Ralph,' an AI-powered stylist app developed with Microsoft, offering personalized outfit recommendations.
  • Citigroup has appointed a former IBM executive to lead its AI strategy and has already provided AI tools to around 175,000 employees.
  • A report found that 83% of companies lack basic safeguards against employees uploading sensitive data to public AI tools, posing significant security risks.
  • Custocy and Enea deployed an AI-powered Network Detection and Response solution for the Haute-Garonne Departmental Council in France, protecting over 25,000 assets.
  • AI and predictive analytics are transforming endpoint security by offering a proactive approach to anticipate and block cyber threats.
  • The tourism economy, including hospitality, is expected to see increased reliance on AI for design processes and guest experience enhancement.
  • Thinking Machines Data Science is named OpenAI's first official Services Partner in the Asia Pacific (APAC) region.
  • Limiting the knowledge of Artificial General Intelligence (AGI) to prevent misuse presents complex and potentially impractical challenges.

Volkswagen invests 1 billion euros in AI by 2030

Volkswagen plans to invest up to 1 billion euros in artificial intelligence by 2030. The German carmaker will use AI to improve vehicle development, industrial applications, and IT infrastructure. Volkswagen expects these investments to save up to 4 billion euros by 2035. The company aims to increase speed, quality, and competitiveness across its operations. This move is part of Volkswagen's strategy to become a leading automotive technology provider.

VW invests up to 1 billion euros in AI by 2030

Volkswagen plans to invest up to 1 billion euros in artificial intelligence by the end of the decade. The company is using AI to optimize complex processes in vehicle assembly and aims for significant cost savings. This investment will support AI-driven vehicle development and improve industrial applications.

Volkswagen invests 1 billion euros in AI for cost cuts

Volkswagen will invest up to 1 billion euros in artificial intelligence by 2030 to streamline production and reduce costs. The investment will focus on AI-driven vehicle development, industrial applications, and IT infrastructure. Volkswagen expects efficiency gains and cost savings of up to 4 billion euros by 2035. The company is also partnering with Dassault Systèmes to create an AI-supported development environment to shorten product development time.

Volkswagen invests 1.18 billion dollars in AI

Volkswagen plans to invest up to 1 billion euros, or 1.18 billion dollars, by 2030 to integrate artificial intelligence across its operations. The goal is to speed up vehicle development by at least 25% and improve manufacturing efficiency. Volkswagen expects potential savings of up to 4 billion euros by 2035. The company already uses over 1,200 AI applications and is expanding its cloud infrastructure to support AI initiatives.

OpenAI to launch first in-house AI chip with Broadcom in 2026

OpenAI plans to release its first in-house AI chip in 2026, developed with Broadcom. This chip is designed for internal use to optimize operations like ChatGPT. The move aims to reduce OpenAI's reliance on Nvidia and improve efficiency and performance. Broadcom has already received significant AI infrastructure orders, believed to be from OpenAI. This strategy aligns with other tech giants like Google and Meta who are also developing custom AI hardware.

OpenAI to develop own AI chips with Broadcom in 2025

OpenAI is reportedly developing its own AI chips with Broadcom, aiming for a 2025 launch. This initiative seeks to reduce dependence on NVIDIA and increase computing capacity. The company has placed significant orders with Broadcom, fueling speculation about this partnership. Developing custom chips could offer OpenAI greater flexibility, performance, and cost savings as demand for its AI services grows.

Ralph Lauren launches AI stylist app Ask Ralph

Ralph Lauren has launched Ask Ralph, an AI-powered stylist within its mobile app, developed with Microsoft. The app allows users to describe their style needs through conversational prompts, and the AI provides complete, shoppable outfits. This aims to recreate the experience of consulting a personal stylist and make online shopping more personalized and efficient. Ask Ralph uses AI and natural language processing, adapting to user preferences over time.

Ralph Lauren's Ask Ralph AI shopping experience launches

Ralph Lauren introduced Ask Ralph, a new AI-powered conversational shopping experience on its mobile app, developed with Microsoft Azure OpenAI. Users can describe their needs, and the AI provides personalized, shoppable outfit recommendations. This feature aims to mimic an in-store stylist and enhance customer engagement with the brand's style. Ask Ralph is rolling out to US users and will expand to more brands and markets.

Employees risk company secrets by using public AI tools

A report by Kiteworks reveals that 83% of companies lack basic safeguards to prevent employees from uploading sensitive data to public AI tools. Employees are sharing customer records, financial results, and confidential information, which once entered into AI systems, cannot be retrieved. This poses significant compliance and security risks, as many organizations lack visibility and control over their AI usage. CISOs are urged to implement technical controls and ensure compliance with evolving AI regulations.

Custocy and Enea secure Haute-Garonne network with AI

Custocy and Enea have deployed an AI-powered Network Detection and Response (NDR) solution for the Haute-Garonne Departmental Council in France. This system protects over 25,000 assets within the council's complex network. It is the first French NDR solution using AI for such a large-scale deployment, highlighting European innovation. The partnership combines Custocy's AI expertise with Enea's network visibility software to enhance cybersecurity.

AI and predictive analytics revolutionize endpoint security

The rise of hybrid work and cloud-first strategies has made endpoints the front lines of enterprise security. Traditional reactive defense models are insufficient against fast-evolving cyber threats. AI-powered security and predictive analytics offer a proactive approach by anticipating breaches before they happen. These technologies analyze device behavior, user patterns, and network data to identify and block threats preemptively, minimizing risks and ensuring data security.

Citi hires IBM executive to lead AI strategy

Citigroup has appointed Shobhit Varshney, a former IBM executive, as its new head of AI to accelerate its artificial intelligence initiatives. Varshney will report to the Chief Operating Officer and work with the CTO to scale AI across the company. Citi has already provided AI tools like Stylus and Workspaces to approximately 175,000 employees globally. This move is part of a broader industry trend among banks to leverage AI for efficiency and improved customer experience.

Tourism economy may increasingly rely on AI

The tourism economy, particularly in areas like Summit County, may become more reliant on artificial intelligence in the coming years. Executives from Marriott International and Gensler discussed how AI is streamlining design processes and enhancing the guest experience in hospitality. AI can help architects pitch ideas faster and allows for real-time design changes with clients. In hotels, AI can reduce employee data entry time, freeing them up for more guest interaction, though it won't replace human connection.

Thinking Machines is OpenAI's first APAC services partner

Thinking Machines Data Science has become OpenAI's first official Services Partner in the Asia Pacific (APAC) region. This collaboration aims to help businesses in APAC achieve measurable results from AI adoption. Together, they will offer training on ChatGPT Enterprise, support for custom AI applications, and guidance on integrating AI into daily operations. The partnership addresses the challenge many companies face in moving AI projects from pilot stages to real business impact.

Limiting AGI knowledge is harder than it seems

Limiting the knowledge of Artificial General Intelligence (AGI) to prevent misuse is a complex challenge. While the idea of omitting sensitive information like bioweapon designs seems logical, it's difficult to implement permanently. Users might trick AGI into learning or circumventing restrictions. The article suggests that preventing AGI from acquiring certain knowledge is not a foolproof solution and may be impractical, highlighting the ongoing difficulties in controlling advanced AI.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

Artificial Intelligence Volkswagen Investment Automotive Technology Vehicle Development Industrial Applications IT Infrastructure Cost Savings Efficiency Competitiveness OpenAI AI Chips Broadcom Nvidia Custom Hardware ChatGPT Ralph Lauren AI Stylist Ask Ralph Microsoft Personalized Shopping Natural Language Processing Cybersecurity Data Security AI Tools Employee Risk Sensitive Data Compliance Network Detection and Response Predictive Analytics Endpoint Security Citigroup IBM AI Strategy Tourism Economy Hospitality Guest Experience Design Processes Thinking Machines APAC ChatGPT Enterprise AI Adoption Artificial General Intelligence AGI AI Safety Knowledge Limitation

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