OpenAI Launches ChatGPT Atlas Browser and Recruits Wall Street Veterans for AI in Investment Banking

1 min read     Updated on 21 Oct 2025, 09:15 PM
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Reviewed by
Anirudha BScanX News Team
Overview

OpenAI has introduced ChatGPT Atlas, an AI-powered web browser competing with Google Chrome, offering personalized experiences and task automation. Simultaneously, they've launched Project Mercury, hiring ex-bankers to train AI models for automating junior investment banking tasks. OpenAI is testing early access programs with select financial institutions and has secured a $4 billion credit facility from JPMorgan Chase and others.

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*this image is generated using AI for illustrative purposes only.

OpenAI, the artificial intelligence research laboratory, has made significant strides in both consumer technology and financial services. The company has unveiled ChatGPT Atlas, a new AI-powered web browser, while also embarking on an ambitious project codenamed 'Mercury' aimed at revolutionizing the investment banking industry.

ChatGPT Atlas: Reimagining Web Browsing

OpenAI has introduced ChatGPT Atlas, an AI-powered web browser that directly competes with Google's Chrome. The browser offers:

  • Personalized web experiences
  • Ability to perform tasks like booking flights and editing documents
  • An 'Ask ChatGPT' sidebar feature for interacting with any webpage
  • Content summarization and assistance with online tasks

CEO Sam Altman described AI as a 'once-a-decade opportunity' to rethink browsers. Atlas is launching globally on macOS first, with plans for Windows, iOS, and Android versions. The announcement caused Google shares to decline as much as 4.80%, highlighting the potential impact on the browser market.

Project Mercury: Bridging AI and Investment Banking

Simultaneously, OpenAI has launched Project Mercury, hiring over 100 former bankers and consultants from top-tier firms like Morgan Stanley and JPMorgan Chase. The project aims to train AI models in automating junior investment banking tasks, including:

  • Building IPO models
  • Conducting restructuring analyses
  • Creating leveraged buyout projections

These ex-bankers are being compensated at approximately $150.00 per hour for their expertise in writing prompts, testing model accuracy, and providing feedback on AI-generated financial outputs.

AI Training Focus

The AI models are being trained to perform several key functions:

  • Constructing Excel-based transaction models
  • Analyzing financial statements
  • Generating pitch decks

Early Access and Strategic Partnerships

OpenAI is currently testing early access programs with select financial institutions, with Morgan Stanley's Wealth Management division among the first to participate in these trials.

Broader Enterprise Strategy

Both ChatGPT Atlas and Project Mercury are part of OpenAI's larger enterprise strategy aimed at:

  • Competing with traditional consulting firms and tech giants
  • Embedding AI tools directly into client operations across various sectors, including finance, government, and large enterprises

Financial Backing

OpenAI has recently secured a significant financial boost:

Financial Arrangement Details
Type Credit Facility
Amount $4.00 billion
Provided by JPMorgan Chase and others

This financial partnership not only strengthens OpenAI's position but also deepens its ties with major financial institutions.

As AI continues to make inroads into traditional industries, initiatives like ChatGPT Atlas and Project Mercury highlight the potential for significant disruption in both the tech and financial sectors. The success of these projects could reshape the landscape of web browsing and investment banking, potentially altering career paths and skill requirements for future professionals in these fields.

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OpenAI and Broadcom Forge Multiyear Partnership for Custom AI Chip Development

1 min read     Updated on 13 Oct 2025, 07:24 PM
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Reviewed by
Shriram SScanX News Team
Overview

OpenAI and Broadcom have entered a multiyear agreement to develop custom chips and networking equipment, aiming to add 10 gigawatts of AI data center capacity. The collaboration focuses on hardware design by OpenAI and development by Broadcom, with deployment scheduled from the second half of 2026 to the end of 2029. This partnership, which doesn't include investment or stock components, is seen as a strategic move for both companies. Broadcom's stock rose over 12% in premarket trading following the announcement.

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*this image is generated using AI for illustrative purposes only.

OpenAI, the artificial intelligence research laboratory, has entered into a significant multiyear agreement with Broadcom, a leading semiconductor and infrastructure software solutions provider. This collaboration aims to develop custom chips and networking equipment, with the ambitious goal of adding 10 gigawatts of AI data center capacity.

Key Details of the Partnership

Aspect Details
Agreement Type Multiyear collaboration
Focus Custom chips and networking equipment
Target Capacity 10 gigawatts of AI data center capacity
Roles OpenAI: Hardware design
Broadcom: Development
Deployment Timeline Beginning: Second half of 2026
Completion: End of 2029

Strategic Implications

The partnership represents a strategic move for both companies:

  • Custom Processor Development: OpenAI will be able to embed learnings from AI model development directly into hardware, potentially leading to significant efficiency gains.
  • Market Response: Broadcom's stock saw a notable increase of over 12% in premarket trading following the announcement, indicating positive market sentiment towards this collaboration.
  • Long-term Vision: OpenAI CEO Sam Altman revealed that the companies have been working together for 18 months, suggesting a well-planned, long-term strategy.

Distinguishing Factors

Unlike OpenAI's recent agreements with Nvidia and AMD, this partnership with Broadcom does not include any investment or stock component. This pure collaboration model focuses solely on technological development and implementation.

Industry Impact

Greg Brockman, OpenAI co-founder, provided context on the scale of this project, noting that the targeted 10GW capacity represents only a fraction of what's estimated to be necessary for achieving artificial general intelligence (AGI). This statement underscores the magnitude of computational power believed to be required for advanced AI development.

Conclusion

The OpenAI-Broadcom partnership marks a significant step in the AI industry's push towards custom hardware solutions. By combining OpenAI's AI expertise with Broadcom's chip manufacturing capabilities, this collaboration could potentially accelerate the development of more efficient and powerful AI systems. As the project unfolds over the coming years, it will be interesting to observe its impact on the AI landscape and the broader tech industry.

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