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May 13, 2024 · Goldman Sachs Research predicted last year that generative AI could boost GDP and raise labor productivity growth over the coming decade. Since publishing that outlook, investment in generative AI has boomed, but it will take time for the technology to filter into the overall economy.

Goldman Sachs will finish rolling out its first generative artificial intelligence tool—for code generation—to thousands of developers across the company by the end of the month.

Apr 5, 2023 · Breakthroughs in generative artificial intelligence have the potential to bring about sweeping changes to the global economy, according to Goldman Sachs Research. As tools using advances in natural language processing work their way into businesses and society, they could drive a 7% (or almost $7 trillion) increase in global GDP and lift ...

Jan 22, 2025 · Global investment firm Goldman Sachs is ready to start replacing its employees with AI. The company announced that it's rolled out a "GS AI assistant" to around 10,000 employees as part of...

Jan 21, 2025 · Goldman Sachs is rolling out a generative AI assistant to its bankers, traders and asset managers, the first stage in the evolution of a program that will eventually take on the traits of a...

Jan 25, 2025 · Goldman Sachs has recently introduced the "GS AI Assistant" to approximately 10,000 employees, marking a significant step in integrating artificial intelligence into its operations.

Jul 27, 2024 · Goldman Sachs, a global leader in investment banking, is at the forefront of leveraging artificial intelligence (AI) to enhance its operational efficiency. By the end of July 2024, Goldman Sachs will complete the rollout of its first generative AI tool for code generation to thousands of developers.

Aug 22, 2024 · The Goldman Sachs Value Accelerator (VA) team has been advising many of our portfolio companies on over 20 GenAI pilots they are developing for their businesses and scaled up use cases in this same timeframe.

Feb 18, 2025 · At present, Goldman Sachs Research estimates the power usage by the global data center market to be around 55 gigawatts (GW). This is comprised of cloud computing workloads (54%), traditional workloads for typical business functions such as email or storage (32%), and AI (14%).