🧭 OpenAI’s AI browser enters the race

Welcome, AI enthusiasts

After 15 years, the browser wars are back. OpenAI just announced Atlas, their AI browser, and this time it's not about speed. Let’s dive in!

In today’s insights:

• OpenAI’s AI browser enters the race

• Amazon’s plan to replace 600,000 jobs with robots

• OpenAI trains AI to take on junior banking tasks

Read time: 4 minutes

LATEST DEVELOPMENTS

OPENAI
🧭 OpenAI’s AI browser enters the race

Evolving AI: OpenAI just announced “ChatGPT Atlas,” a full AI-powered web browser. It’s the company’s boldest step yet in challenging Google.

Key Points:

• Atlas is now live for macOS users, with Windows and mobile versions coming soon.

• It includes an “agent mode” for ChatGPT to take actions like booking flights or editing documents.

• It launches while Perplexity and Google are also racing to bring AI into the browser.

Details:

In a livestream, OpenAI revealed its new browser, ChatGPT Atlas. It is available globally for macOS and will roll out soon on Windows, iOS, and Android. Sam Altman described it as the future of how people will use the internet. Atlas runs ChatGPT directly inside the browser and includes memory and agent features that personalize browsing and let the AI perform tasks like editing text or booking reservations. A split-screen shows both the chatbot and the website you are visiting, although users can turn it off. It also has features like web page summaries and inline rewriting, called “cursor chat.” Atlas builds on earlier projects like Operator and ChatGPT Agent, which aimed to control your computer through AI. Its release comes just after Perplexity launched its Comet browser and as Google prepares to integrate Gemini deeper into Chrome.

Why It Matters:

With ChatGPT Atlas from OpenAI you’re seeing a browser where search, chat and actions mix: instead of hopping between tabs you ask questions on any page, get summaries instantly, and even let the browser help book things or edit your work. And because you control what it remembers, the line between “looking something up” and “getting something done” starts to fade.

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AMAZON
🤖 Amazon’s plan to replace 600,000 jobs with robots

Evolving AI: Internal docs reveal Amazon wants to automate 75% of its business by 2033, cutting hundreds of thousands of future US jobs.

Key Points:

• Amazon aims to replace 600,000 US workers through automation by 2033.

  160,000 jobs may be cut by 2027, saving $12.6 billion.

  The company avoids using “AI” or “automation” publicly, preferring “advanced technology.”

Details:

Internal documents obtained by The New York Times show Amazon is targeting large job reductions through robotics and automation over the next decade. The company expects to double its product volume by 2033 while reducing reliance on human labor. Its robotics team is aiming to automate 75% of operations. By 2027, around 160,000 US jobs could be cut, which may save Amazon $12.6 billion. That equals about 30 cents saved per item delivered. The company is reportedly using softer terms like “cobots” and “advanced tech” instead of “AI” or “automation” to avoid bad press. In response, Amazon said the documents do not reflect its full strategy.

Why It Matters:

Recent data show that Amazon now has over 1 million robots in its fulfilment network, and these machines assist with about 75% of its global deliveries. The shift means warehouse roles are changing fast. Instead of just picking and packing, human workers are increasingly doing system oversight, maintenance and robot‑collaboration tasks.

OPENAI
📊 OpenAI trains AI to take on junior banking tasks

Evolving AI: Figure AI's CEO envisions robots that can reproduce and learn from each other.

Key Points:

• OpenAI is running a secretive project called “Mercury” to automate tedious work done by junior bankers.

• Over 100 former bankers and MBA students are paid $150/hour to train AI using real-world modeling tasks.

• The goal is to teach AI how to build financial models for deals like mergers or IPOs using standard formats.

Details:

OpenAI has quietly launched an internal effort to automate parts of investment banking. Codenamed Mercury, the project brings in more than 100 ex-bankers and MBA students from firms like Goldman Sachs and schools like Harvard. They simulate the kind of modeling work junior analysts usually do. Each week, they build mock financial models of IPOs or mergers, write simple prompts, and convert the AI’s output into Excel. The feedback they provide goes back into the training loop to improve the model. According to Bloomberg, hiring for the program is handled by AI too. Candidates do a 20-minute chatbot interview, then take modeling tests. Their work is reviewed by humans, and that feedback also becomes training data.

Why It Matters:

The fact that OpenAI is paying former investment bankers to teach AI how to build financial‑models shows the real shift: grunt work in banking might soon be handled by machines, not junior analysts.

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