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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Nvidia CEO Jensen Huang Says AI Will Drive Job Growth

by THEFUTURE.TEAM

May 5, 2026

Optimism In The Face Of Transformation

Nvidia Chief Executive Jensen Huang has dismissed the notion that artificial intelligence poses a threat to American jobs. Speaking during an engaging conversation hosted by the Milken Institute and broadcast on MSNBC with Becky Quick, Huang presented AI as a transformative force that will re-industrialize the United States rather than usher in an era of mass unemployment.

AI As An Engine For Reindustrialization

Huang pointed to the rapid build-out of AI infrastructure, including advanced chips and data centers, as a source of new industrial activity. The scale of investment required to develop and operate these systems is already generating demand across engineering, manufacturing, and operations. In this context, the AI ecosystem is expected to rely on a wide range of roles, supporting the view that technological growth and employment can evolve together.

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Dissecting Job Transformation Versus Replacement

A central distinction in Huang’s argument is between automating tasks and replacing jobs. AI is more likely to take over specific functions within roles, allowing workers to focus on broader responsibilities. This suggests a shift in how work is structured, with productivity gains driven by task automation rather than a direct reduction in employment.

Curbing Undue Fear Over AI Adoption

Huang also addressed concerns about AI risks, noting that some narratives overstate current capabilities. He cautioned that such views may not reflect the current stage of development and can shape public perception in ways not grounded in practical realities, while also contributing to heightened expectations within the industry.

Looking Ahead: Balancing Progress and Prudence

At the same time, projections from Boston Consulting Group suggest that around 15% of U.S. jobs could be affected by AI in the coming years, highlighting the complexity of the transition. These estimates point to a labour market that is likely to adjust as adoption increases, with outcomes depending on how businesses, workers, and policymakers respond.

Conclusion

Together, these perspectives position AI as a factor in structural economic change, influencing how work is performed and how industries evolve, while leaving open questions about the pace and distribution of these changes.

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