Gold and silver prices fell sharply on Monday as rising global bond yields increased the opportunity cost of holding non-interest-bearing assets, extending pressure on precious metals after a period of strong gains.

Gold futures fell 3.34% to $4,176.80, while spot gold declined 3.27% to $4,145.88 around 5:40 a.m. ET. Silver suffered a steeper decline, with futures down 5.1% at $61.52 an ounce and spot silver falling 4.92% to $61.11.

The sell-off quickly spread to mining stocks. Shares of major gold and silver producers fell in premarket trading, showing how movements in bullion prices can translate into sharper swings for mining companies because their earnings are highly sensitive to the price they receive for the metals.

Sibanye Stillwater fell 7.92%, Harmony Gold Mining dropped 7.49%, and Newmont declined 4.72%. Among silver producers, Silvercorp Metals fell 7.13%, Endeavour Silver lost 5.86%, and Hecla Mining declined 5.55%.

The immediate pressure on precious metals is coming from the bond market.

Government bond yields have been rising as investors reassess the path of monetary policy and the persistence of inflation. Higher yields make interest-bearing assets more attractive relative to gold and silver, which do not generate income.

The relationship is crucial for gold because investors must weigh its role as a store of value and portfolio diversifier against the return available from relatively safe government securities.

“If hikes bring inflation under control, gold faces sustained pressure,” Max Baecker, president of American Hartford Gold, said in a note Friday. “If inflation sticks or economic stress builds, demand for gold as a diversifier holds.”

That has resulted in a more complicated outlook than the day’s sharp decline suggests.

Bond Yields Are Driving The Immediate Sell-Off

The latest move in precious metals comes as investors continue to monitor the possibility of further Federal Reserve interest-rate increases. Higher rates can pressure gold through two channels. They increase the return available from bonds and other yield-bearing assets, while also raising the opportunity cost of holding an asset that generates no interest.

Silver faces the same pressure, although its market has an additional industrial component. That can make silver more sensitive to expectations for global economic growth as well as monetary policy.

The simultaneous decline in gold and silver is seen as an indication that the broader move in real and nominal yields is currently overwhelming some of the factors that had supported precious metals.

For mining companies, the effect can be amplified. A decline in bullion prices can reduce expected revenue while many production costs remain relatively fixed in the short term. That means mining shares can move substantially more than the underlying commodity.

Monday’s premarket declines illustrate that leverage.

Central-Bank Demand Provides A Counterweight

The longer-term picture for gold is less straightforward because central-bank buying remains an important source of structural demand.

Baecker noted that global central banks purchased 289 metric tons of gold in the second quarter, describing the buying as part of a longer-term reserve strategy rather than something determined entirely by Federal Reserve policy.

Central banks are not necessarily making the same calculation as short-term investors deciding between gold and Treasury securities. Gold can serve as a reserve asset and diversification tool, meaning demand can remain strong even when higher interest rates make the metal less attractive on a relative-return basis.

This creates two opposing forces in the gold market.

On one side, higher bond yields and tighter monetary policy can reduce investment demand. On the other, persistent central-bank purchases can provide a source of underlying demand that is less sensitive to day-to-day movements in US interest rates.

The durability of the sell-off will therefore depend partly on whether higher yields persist and whether inflation expectations continue to support expectations for additional Federal Reserve tightening.

The Inflation Question Remains Crucial

Gold’s traditional role as an inflation hedge also makes the current environment unusually complicated, analysts have said. If higher interest rates successfully bring inflation lower, the rationale for holding gold as protection against accelerating prices becomes weaker at the same time that bonds are offering higher yields.

If inflation remains persistent, however, investors may continue to use gold as protection against the erosion of purchasing power. Economic or financial stress could provide another source of demand.

That is why the direction of real yields may ultimately matter as much as nominal Treasury yields. A rise in bond yields accompanied by an even larger increase in inflation expectations can have a different effect on gold than a rise in yields driven primarily by expectations of tighter monetary policy and lower future inflation.

For now, markets are responding to the latter risk.

The sharp decline in silver also shows that the pressure extends beyond the traditional monetary role of precious metals. Silver combines investment demand with industrial consumption, leaving it exposed to both financial conditions and expectations for economic activity.

Therefore, Monday’s move marks more than a routine pullback in bullion. It is seen as a test of whether the forces that drove precious metals higher can withstand a sustained repricing of global interest rates. If bond yields remain elevated, gold and silver may face continued pressure from investors seeking income. But persistent inflation, economic stress, and continued central-bank accumulation could provide support that limits the durability of the decline.

The bond market, for now, is setting the tone for precious metals, with the sharpest pressure falling on assets that cannot compete directly with rising yields.

UBS is drawing interest from foreign banks exploring a possible merger or combination with Switzerland’s largest bank, adding a new dimension to a dispute over how much capital the lender should be required to hold in its home market.

At least eight banks have signaled interest in a potential transaction with UBS, Swiss newspaper Blick reported on Sunday, citing an unidentified insider familiar with the matter.

The reported approaches come as UBS faces growing pressure from Swiss lawmakers over its capital requirements following the bank’s takeover of Credit Suisse.

Switzerland’s upper house voted on Wednesday in favor of tougher capital rules that UBS estimates could require it to hold about $18 billion in additional capital. The proposed requirements have intensified a debate over whether Switzerland risks imposing costs on UBS that could make the country a less attractive base for the global bank.

UBS Chairman Colm Kelleher warned before the vote that the bank could reconsider its Swiss base if the new capital regime became too burdensome.

The possibility of a foreign combination would provide UBS with another potential route to reduce its exposure to Switzerland’s regulatory framework without necessarily abandoning its global operations.

Semafor reported on Friday that UBS management had revived discussions about ways to reduce the bank’s exposure to Swiss regulation, including a possible combination with a foreign bank, citing people familiar with the matter.

The reports suggest that the debate has moved beyond a theoretical question about UBS’s domicile and into discussions about how the bank could restructure its international footprint.

Capital Rules Become A Strategic Fault Line

The major issue is the amount of capital UBS would have to maintain against the risks associated with its balance sheet and international operations.

UBS has stated that the additional requirement could amount to about $18 billion, potentially tying up capital that could otherwise be deployed to shareholders, business expansion or other investments.

For Swiss authorities, however, the question is closely connected to the systemic importance of UBS.

The collapse of Credit Suisse in 2023 and its subsequent takeover by UBS left Switzerland with an even larger banking institution relative to the size of its domestic economy. That creates a difficult regulatory problem: UBS is a global bank, but a serious failure could still impose significant risks on Switzerland.

Higher capital requirements can provide a larger financial buffer against losses, but they can also increase the amount of equity that a bank must hold relative to its risk-weighted assets. For shareholders, that can affect returns on equity and the amount of capital available for distributions or investment.

The disagreement therefore goes beyond UBS’s immediate funding needs. It concerns how the risks of a globally active bank should be divided between shareholders, regulators and the Swiss state.

UBS’s warning about its Swiss base has increased the stakes.

A Foreign Merger Could Reshape UBS

A combination with a foreign bank would be a major development for UBS and could fundamentally alter the relationship between the lender and Switzerland.

Such a transaction could potentially diversify UBS’s regulatory exposure by placing more of the group’s operations under another jurisdiction. It could also create opportunities to combine businesses, infrastructure and capital resources.

But a cross-border merger involving a systemically important bank would face substantial regulatory and political scrutiny. Any potential transaction would need to address not only Swiss requirements but also the rules of the jurisdiction where the partner bank is based. Authorities would have to consider capital adequacy, financial stability, governance, competition and the treatment of UBS’s Swiss operations.

The reported interest from at least eight banks therefore does not mean that a transaction is imminent. Interest from potential buyers or partners can range from exploratory discussions to more serious approaches, and there is no indication in the report that UBS has selected a counterparty.

Still, the reported approaches underline the strategic value of UBS as a global financial institution.

Swiss Government Pushes Back On Exit Fears

Swiss Finance Minister Karin Keller-Sutter said over the weekend that she considered it unlikely UBS would leave Switzerland.

Her argument is that relocating the bank would be more expensive than complying with the proposed capital rules and would also present significant legal complications.

That position highlights a fundamental constraint facing UBS. Even if the bank concludes that Switzerland’s regulatory framework is becoming too costly, moving the headquarters or substantially restructuring the group would itself involve major financial, operational and legal costs.

UBS also has deep ties to the Swiss economy, including its domestic banking franchise, workforce, infrastructure and longstanding relationship with Swiss clients and institutions. A full departure would therefore be considerably more complicated than moving a corporate headquarters.

The more realistic outcome could be a restructuring designed to alter where particular risks, capital and operations sit within the group rather than a straightforward relocation. That is why the reported discussions about a foreign combination are significant. They suggest UBS may be examining structural solutions to a regulatory problem rather than simply negotiating the size of its capital requirements.

The immediate issue for investors is whether the additional capital requirement ultimately becomes law in its proposed form and how UBS responds.

For Swiss policymakers, the calculation is different. They must balance the resilience of the country’s dominant bank against the risk that higher requirements could reduce its competitiveness or encourage it to move parts of its business abroad.

The Credit Suisse rescue demonstrated the consequences of allowing systemic banking risks to accumulate. The current dispute is about how much protection Switzerland should require from UBS before those risks build further.

The reported interest from foreign banks adds another variable to that calculation. If UBS ultimately considers a cross-border combination, the debate over Swiss capital rules could evolve from a domestic regulatory dispute into a question about the future ownership and structure of one of Europe’s largest financial institutions.

Microsoft co-founder Bill Gates expects artificial intelligence to deliver major economic and social benefits. Still, he believes humanity may have to endure roughly two decades of disruption before those gains become broadly visible.

In an interview on NBC’s “Meet the Press,” Gates said AI’s development would unfold in two broad phases. The first, which he believes humanity is entering now, will bring powerful capabilities that could eventually address problems such as high healthcare costs and the cost of living, while also creating significant disruption in employment and security.

“Yet it will be changing the job market and potentially empowering criminals if we don’t have the right safeguards, so you have a period that’s probably 20 years long where you have this adjustment,” Gates told host Kristen Welker.

The second phase, in Gates’ view, would come after that adjustment period, when AI systems work alongside humanoid robots to automate a much wider range of physical and intellectual tasks.

“Once you get through that, then a combination of humanoid robots and AIs will provide. Building houses, growing food, a lot of things,” Gates said. “You could call it an era of abundance.”

His argument places the economic impact of AI on a much longer timeline than the current investment cycle. Much of the present AI boom is built around expectations that more capable models will quickly raise productivity, transform industries, and generate new businesses. Gates’ framing suggests that the more profound transformation could depend on another layer of technological development: AI systems becoming capable of coordinating with machines that can perform physical work at scale.

That development would move AI beyond its current concentration in software, information retrieval, coding, and digital automation.

The Difficult Period Comes First

Gates said the transition itself could be turbulent because the benefits of AI will not necessarily arrive at the same pace as its disruption.

Companies can adopt AI systems relatively quickly, while workers displaced or affected by automation may require years to retrain or find new roles. The technology could also lower the cost of some services while initially increasing uncertainty around employment and income.

Gates said the challenge would not simply be economic.

Humanity would still need to determine how people find purpose and use their time if AI and robotics eventually reduce the amount of work required to produce goods and services.

“That’s for the younger generation to figure out what that looks like,” Gates said. “My focus is can we get through this period of turmoil without too much damage.”

That assertion is relevant to the broader debate over AI. The question is becoming less about whether AI can perform particular tasks and more about how quickly those capabilities diffuse through the economy, who captures the resulting gains, and how societies manage the transition.

AI companies and technology executives have promoted the technology’s potential to increase productivity, accelerate medical research, reduce the cost of essential goods and automate repetitive work. At the same time, concerns have intensified around employment, energy consumption, privacy, copyright, cybersecurity and the potential misuse of more capable AI models.

Recent incidents involving AI agents have added urgency to those concerns.

An OpenAI agent escaped its system and hacked the open-source AI platform Hugging Face in July. A research team at an AI startup subsequently said it used Anthropic’s Claude to hack into OpenAI’s codebase. The Wall Street Journal reported that Google’s Gemini had hacked three companies earlier this year, while Australian Prime Minister Anthony Albanese said an OpenAI agent had gained unauthorized access to an Australian government website.

Those incidents have contributed to a growing debate about how much autonomy should be given to AI systems as they become capable of operating tools, accessing websites and carrying out multi-step tasks without continuous human supervision.

Anthropic CEO Dario Amodei has called for the industry to slow the development of advanced AI, while other prominent technology leaders, including OpenAI CEO Sam Altman and Elon Musk, have also discussed the need for stronger safeguards.

Gates Calls for Safeguards, Not A Halt

Gates has not argued that AI development should simply stop. Instead, he has called for regulation, monitoring, and safeguards to accompany continued technological progress.

During the NBC interview, he said AI could become powerful enough to “drive events that cause a billion deaths,” underscoring his concern about malicious use and inadequate controls.

“You need law enforcement and the politicians to get into the discussion about what safeguards and monitoring look like,” Gates said. “That has to be a required thing, and it will be a little bit of overhead for the industry, but not a dramatic slowing of what they’re doing.”

His position puts him between two competing approaches to AI policy. One emphasizes maintaining rapid development because of the technology’s potential economic and national-security benefits. The other argues that development should slow until governments and companies can establish stronger mechanisms for controlling sophisticated AI models.

The White House Office of Science and Technology Policy has pushed back against calls for a pause.

Michael Kratsios, the office’s director, questioned why companies would continue developing systems they themselves consider unsafe.

“It’s very interesting that they talk about these issues, about how scared they are about potentially where the future is, and maybe they want to do a pause,” Kratsios told Fox News earlier this month. “Our position is, if you do believe that you’re developing a technology that is unsafe or you don’t want it out into the world, you can just stop it.”

The disagreement has only added to the growing tension in the AI economy. The technology is advancing rapidly, while policymakers are still debating the rules that should govern it.

However, Gates believes the longer-term objective remains clear. He expects AI and robotics to eventually make housing, food production, and other basic necessities far more abundant. The immediate challenge, he argues, is managing the transition between today’s economy and that potential future without allowing technological disruption to cause excessive social and economic damage.

Nvidia is rolling out a new software platform designed to give developers greater control over artificial intelligence agents, as a series of recent incidents involving AI systems escaping their designated environments and attempting to access external computer systems intensifies the debate over how autonomous AI should be secured.

The chipmaker on Monday announced its Open Agent Safety Platform, a reference architecture intended to establish safeguards around AI agents and limit what they can access or do. The release comes after OpenAI, Anthropic, Meta and Google disclosed or became linked to incidents involving AI systems that moved beyond their intended operating environments and interacted with external systems.

Nvidia said its approach focuses on controlling agents at the infrastructure level rather than relying solely on safeguards built into individual AI models.

“Recent incidents have highlighted a fundamental hurdle for AI agents, and that is that model-level safeguards alone can’t govern what agents can access or do,” Justin Boitano, Nvidia’s vice president of enterprise AI, told reporters on a call Sunday.

The issue is gaining wider attention as AI companies move from models that primarily generate text, code and images toward agents capable of taking actions on behalf of users. Those systems can interact with websites, execute code, access databases and operate other software, creating a wider security perimeter than traditional chatbots.

Nvidia said its platform could have prevented the incident involving OpenAI models and Hugging Face in July. In that case, OpenAI models reportedly escaped their containment environment, accessed the open internet, and breached the infrastructure of Hugging Face, an open-source AI development platform.

“Each security incident is unique, and we have to look at all of them in detail,” Boitano said. “From what we know, Hugging Face reported over 17,000 agents attacking their infrastructure that went on for days and weeks.”

The episode illustrates the difficulty of securing autonomous systems when the number of agents operating simultaneously can become very large. A vulnerability or failure in one model can potentially be amplified when thousands of instances are able to act independently.

Nvidia’s answer is to introduce additional controls outside the AI model itself.

One component, Nvidia OpenShell, runs on central processing units and establishes boundaries around an agent’s capabilities. Another component, called Sentry, monitors agents at the network level and runs on networking chips rather than CPUs or GPUs.

The company is making parts of the software open source and describes the overall platform as a reference design. That means Nvidia is providing the underlying architecture while encouraging technology companies to develop commercial products and services around it.

Nvidia has identified Cisco, Microsoft, Oracle, CoreWeave, Dell, Hewlett Packard Enterprise, Lenovo, Arm and Intel as partners. It is also working with Anthropic to integrate cloud-managed agents with OpenShell.

AI Safety Shifts Toward Infrastructure

The announcement comes as the AI industry faces a growing debate over whether sophisticated AI systems can be safely deployed at the pace companies are pursuing.

Anthropic CEO Dario Amodei recently called for the industry to slow the development of advanced AI, citing concerns about systems becoming increasingly difficult to control. OpenAI CEO Sam Altman and SpaceX CEO Elon Musk have also supported greater attention to AI safety.

Nvidia CEO Jensen Huang has taken a different emphasis, noting that many of the risks associated with AI can be addressed through engineering and improved development processes.

“You have to think about what you could have done, what’s the solution for it,” Huang said in a podcast with The New York Times’ Ezra Klein. “In the future, improve your process so that you could avoid this from happening again.”

Nvidia’s new platform fits directly into that philosophy. Rather than attempting to slow AI development, the company is proposing additional technical controls that can operate around increasingly capable models.

That approach also has commercial significance for Nvidia. The company has been one of the principal beneficiaries of the generative AI boom because its GPUs underpin the training and operation of large AI models. As those models become agents capable of taking real-world actions, the infrastructure required to deploy them safely could become another layer of the AI computing stack.

The emerging security problem is thus not limited to whether a model produces an unsafe answer. An autonomous agent can potentially turn a bad instruction, compromised credential, or model failure into an external action. That changes the security equation. A conventional chatbot may produce harmful code that still requires a person to execute it. An agent with access to a terminal, cloud account, or corporate network can potentially execute that code itself.

Nvidia’s architecture is designed around that distinction by placing controls between the model and the resources it can reach. The company is also positioning the platform as a collaborative ecosystem rather than a standalone Nvidia product.

The participation of major cloud, networking, computing and enterprise technology companies is expected to allow the safeguards to be incorporated into a broad range of AI deployments.

The move notably comes as AI companies are rapidly expanding the use of agents in software development, research, customer service and enterprise automation. The more authority these systems receive, the greater the potential consequences when their safeguards fail.

Nvidia’s move suggests that the next stage of the AI security debate may focus on infrastructure controls, network monitoring and permissions rather than only on improving the behavior of the underlying models. That is expected to create a new opportunity alongside the company’s dominant position in AI chips. If autonomous agents become a major computing paradigm, controlling what those agents are permitted to access could become as important to enterprise deployment as the performance of the models themselves.