Goldman Sachs Predicts Gold Prices To Surge To $3,700 By Late 2025

by News Editor

April 15, 2025

In a bold forecast, Goldman Sachs has increased its gold price prediction to $3,700 per ounce by the end of 2025. This adjustment comes amid unexpected demand from central banks and a strengthening perception of recession risks, drawing investors towards gold ETFs.

Key Points

Initial forecasts pegged the price at $3,300, but central banks’ monthly gold acquisitions, averaging 80 tons — much higher than the 17-ton average before 2022 — have warranted a forecast revision.
Gold prices have already seen a significant increase of over 23% in 2025, surpassing the $3,200 mark for the first time.
Should central banks continue acquiring at an accelerated pace, or if a recession prompts a capital influx into ETFs, gold could rise to $3,880 within this year.

What To Watch

Economists estimate a 45% chance of a U.S. recession within 12 months, potentially redirecting capital to gold ETFs. Should central banks ramp up purchases to 100 tons monthly, or recession-driven demand persist, gold might reach $3,880 by year-end. Alternatively, if economies show resilience and political uncertainty lessens, gold prices could stabilize around $3,550.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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