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

Meta Takes Muse From Consumer Buzz To Small Business Utility

Meta is widening the ambitions of its Muse AI agent, moving beyond consumer appeal and into the operational core of small business workflows.

A New Push Into Business Productivity

The company on Tuesday introduced Muse for Small Business, a version of the agent designed to connect with widely used software and services from Asana, Zoom, Intuit, Box, Canva and Slack. It can also link directly to Meta ad accounts and professional Instagram and Facebook profiles, turning the agent into a more practical business tool rather than a standalone assistant.

Pricing remains aligned with the existing Muse app, which is free within usage limits and available on a subscription basis for heavier use.

Meta’s Enterprise Strategy Is Coming Into Focus

The launch follows Monday’s announcement that Meta will build a broader enterprise platform and has brought in MongoDB CEO C.J. Desai to lead it. That platform is expected to include a Muse agent, a business agent and a coding tool, signaling a more deliberate move into enterprise software.

The timing is notable. Meta has enjoyed a strong stretch on Wall Street, with the stock rising sharply in September before pulling back in recent sessions. Much of that momentum has been tied to Muse, which launched on Sept. 8 and quickly climbed to the top of Apple’s App Store, overtaking ChatGPT. Evercore analyst Mark Mahaney has said he expects Muse to reach 100 million users within six to 12 months.

Why Small Business Matters To Meta

Meta CEO Mark Zuckerberg has been explicit about the company’s push to find durable AI revenue beyond advertising, which still accounts for the overwhelming share of Meta’s business. After spending heavily on AI talent, including Scale AI founder Alexandr Wang, Meta has begun rolling out new models under the Muse Spark family, and Zuckerberg has called Muse the “centerpiece” of the company’s AI strategy.

For Meta, small business is a logical entry point. The company says about 200 million small businesses already use Facebook, giving it a vast distribution base and a ready-made customer pool for AI-driven productivity tools. In other words, Meta is not trying to create demand from scratch; it is trying to attach a higher-value service to an existing ecosystem.

The Competitive Stakes Are Rising

The new product arrives as OpenAI holds its developer day and as competition intensifies across enterprise AI. Meta’s move is a clear signal that it intends to compete not only for consumers, but also for business users who increasingly want AI embedded into the platforms they already rely on.

As Meta put it in its announcement: “Small businesses have been growing on our apps for nearly two decades. They told us they’re short on hours, not ideas. So we built Muse for Small Business to help get work done with the tools they already use.”

That framing captures the broader opportunity. The next phase of AI adoption will not be defined solely by novelty or chatbot engagement. It will be defined by integration, workflow efficiency and the ability to deliver measurable business outcomes. Meta appears determined to be in that race.

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