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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.

Europe AI Investment To Reach $290 Billion By 2029 As Adoption Expands

European investment in artificial intelligence is projected to reach $290 billion by 2029, with a compound annual growth rate of 33.7% between 2025 and 2029. The increase reflects broader adoption of AI across sectors, including finance, retail, healthcare and software services.

Robust Expansion Across Key Sectors

Banking, retail and software services continue to lead investment, with banking expected to account for 12.5% of total spending in 2026. At the same time, healthcare is projected to be the fastest-growing sector, with a growth rate of 39.7%. This expansion indicates deeper integration of AI into core business operations. Demand is rising for automation, analytics and decision-support systems across industries.

The Dominance Of Generative And Agentic AI

Generative AI is expected to account for about 54% of the market by the end of the forecast period, reflecting a shift from pilot projects to production-level deployment. Adoption is increasingly focused on enterprise use cases. In parallel, agentic AI systems are gaining traction as companies move toward more automated and multi-step processes. Use cases are expanding across customer service, operations and internal workflows.

Software As The Powerhouse Of Innovation

Software is forecast to represent 58.5% of AI spending in 2026 and remains the fastest-growing segment, with projected growth of 42.9% through 2029. Investment is concentrated in platforms that support integration and scalability. As a result, development trends are shifting toward cloud-based systems and enterprise applications. These tools enable deployment across multiple business functions.

Strategic Adaptation Amid Regulatory And Operational Challenges

Companies are scaling AI adoption despite geopolitical risks, supply chain constraints and regulatory developments such as the EU AI Act. These factors are shaping deployment strategies and compliance requirements. In response, demand for governance, risk management and oversight tools is increasing, particularly in regulated sectors. Organizations are adapting to meet evolving regulatory standards.

Sector-Specific Opportunities And Long-Term Trends

Banking is applying AI to fraud detection, threat analysis and customer service automation, while retail is using AI for pricing, personalization and supply chain optimization. These use cases continue to expand as adoption grows. Additional sectors, including media, professional services, utilities and life sciences, are also increasing AI integration. Current investment trends indicate continued expansion across industries.

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