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Gold Hits Near 3-Month High Amid Trump Policy Uncertainty And Dollar Weakness

Gold prices climbed to their highest level in almost three months on Wednesday, driven by rising uncertainty surrounding U.S. President Donald Trump’s policies and a weakened dollar, making the precious metal a more attractive safe-haven investment.

The spot price of gold increased by 1.4%, reaching $2,761 per ounce by 4 p.m. It earlier touched its highest point in 12 weeks, approaching its record high of $2,790.15 set in October. U.S. gold futures also saw a modest rise of 0.3%, settling at $2,766.80.

In contrast, silver experienced a slight dip, falling 0.24% to $30.71, though it remained near the one-month high reached on January 16. Meanwhile, the dollar index slipped to its lowest point in more than three weeks. A weaker dollar enhances gold’s appeal for investors holding other currencies, increasing its demand.

Ole Hansen, Head of Commodity Strategy at Saxo Bank, commented, “Gold and silver prices have both benefited from the heightened uncertainty created by Trump’s statements, including tariffs. Investors are also weighing the inflationary effects of these policies and their potential impact on monetary decisions. Over the coming weeks, the precious metals market will be influenced by the constant flow of news from Washington,” he told Reuters.

Trump has threatened tariffs on European Union imports and indicated plans for a 10% tariff on Chinese goods, citing concerns over fentanyl trafficking from China to the U.S. through Mexico and Canada.

However, gold’s appeal as an inflation hedge could diminish if Trump’s policies, which many analysts expect to be inflationary, lead the Federal Reserve to keep interest rates elevated for a longer period. Since gold doesn’t generate income, higher interest rates make other investments more attractive.

A slight majority of economists polled by Reuters expect the U.S. Federal Reserve to hold interest rates steady during its meeting on January 29.

ANZ analysts noted that central bank purchases are providing a strong demand base for gold, and they expect investment demand to rise, potentially offsetting losses in physical demand.

Moonshot’s Kimi K2: A Disruptive, Open-Source AI Model Redefining Coding Efficiency

Innovative Approach to Open-Source AI

In a bold move that challenges established players like OpenAI and Anthropic, Alibaba-backed startup Moonshot has unveiled its latest generative artificial intelligence model, Kimi K2. Released on a late Friday evening, this model enters the competitive AI landscape with a focus on robust coding capabilities at a fraction of the cost, setting a new benchmark for efficiency and scalability.

Cost Efficiency and Market Disruption

Kimi K2 not only offers superior performance metrics — reportedly surpassing Anthropic’s Claude Opus 4 and OpenAI’s GPT-4.1 in coding tasks — but it also redefines pricing models in the industry. With fees as low as 15 cents per 1 million input tokens and $2.50 per 1 million output tokens, it stands in stark contrast to competitors who charge significantly more. This cost efficiency is expected to attract large-scale and budget-sensitive deployments, enhancing its appeal across diverse client segments.

Benchmarking Against Industry Leaders

Moonshot’s announcement on platforms such as GitHub and X emphasizes not only the competitive performance of Kimi K2 but also its commitment to the open-source model—rare among U.S. tech giants except for select initiatives by Meta and Google. Renowned analyst Wei Sun from Counterpoint highlighted its global competitiveness and open-source allure, noting that its lower token costs make it an attractive option for enterprises seeking both high performance and scalability.

Industry Implications and the Broader AI Landscape

The introduction of Kimi K2 comes at a time when Chinese alternatives in the global AI arena are garnering increased investor interest. With established players like ByteDance, Tencent, and Baidu continually innovating, Moonshot’s move underscores a significant shift in AI development—a focus on cost reduction paired with open accessibility. Moreover, as U.S. companies grapple with resource allocation and the safe deployment of open-source models, Kimi K2’s arrival signals a competitive pivot that may influence future industry standards.

Future Prospects Amidst Global AI Competition

While early feedback on Kimi K2 has been largely positive, with praise from industry insiders and tech startups alike, challenges such as model hallucinations remain a known issue in generative AI. However, the model’s robust coding capability and cost structure continue to drive industry optimism. As the market evolves, the competitive dynamics between new entrants like Moonshot and established giants like OpenAI, along with emerging competitors on both sides of the Pacific, promise to shape the future trajectory of AI innovation on a global scale.

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