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Arabica Coffee Prices Soar Past $3.60 per Pound as Supply Tightens

Global arabica coffee prices surged past $3.60 per pound on Wednesday, hitting record highs as Brazil—the world’s largest producer—faces dwindling supply and uncertainty over its upcoming harvest.

According to market dealers, 70% to 80% of Brazil’s current arabica crop has already been sold, slowing new trades. The country supplies nearly half of the world’s arabica beans, a premium variety favored in high-quality roast and ground coffee blends. Although weather conditions have improved following last year’s severe drought, Brazil’s next crop is projected to be 4.4% smaller than the previous one, as per data from the Brazilian food supply agency Conab.

“Global coffee availability remains constrained,” noted HedgePoint Global Markets on Wednesday. “Sales of Vietnam’s robusta crop are progressing sluggishly, Central American and Colombian arabica beans are taking longer to reach the market, and Brazilian farmers are reluctant to offload additional stock.”

The ripple effects of Brazil’s supply strain are being felt across the coffee market. Arabica futures on the ICE exchange, a global benchmark for coffee pricing, briefly hit an all-time high of $3.6945 per pound before settling at $3.6655—marking a 2.5% increase on the day and a nearly 15% gain for the year. Meanwhile, robusta coffee, a lower-cost variety primarily used for instant coffee, climbed 0.9% to $5,609 per metric ton.

Adding to the market’s tightness, coffee exports from India—the world’s fifth-largest robusta producer—are expected to decline by over 10% in 2025 due to lower yields and reduced carryover stock from last season. Farmers in both India and Vietnam, the top robusta producer, are reportedly holding back sales, betting on further price increases. In Brazil, an estimated 80% to 90% of the current crop has already been sold, according to traders.

A report from brokerage firm Sucden highlights another pressing issue: Brazilian coffee growers are prioritizing domestic sales over dollar-denominated exports, despite higher international prices. This shift comes as local farmers’ financial positions have improved significantly in recent years. Moreover, Brazil’s coffee buffer stocks have plummeted to an estimated 500,000 bags—down sharply from the traditional 8 million—leaving the global market particularly vulnerable to any additional weather disruptions.

Sucden anticipates that the coffee market will log its fourth consecutive annual supply deficit this season, adding further upward pressure on prices.

Beyond coffee, other soft commodities saw notable movements. Raw sugar climbed 1.1% to 19.45 cents per pound, rebounding from a five-month low, while white sugar gained 2.2% to $522.90 per ton. Meanwhile, New York cocoa futures spiked 3.3% to $11,745 per ton, with London cocoa rising 1.6% to 9,138 pounds per ton.

AI Spending Is Complicating The Fed’s Fight Against Inflation

Silicon Valley leaders have long argued that artificial intelligence will make technology and services dramatically cheaper. OpenAI CEO Sam Altman has described a future where intelligence becomes extremely inexpensive, while Tesla and SpaceX CEO Elon Musk has predicted that AI and robotics will create greater abundance and drive down costs.

So far, those benefits have yet to materialise at scale. AI adoption remains relatively slow, while the enormous investment needed for data centres and AI infrastructure is putting pressure on electricity prices, supply chains and other costs. For the Federal Reserve, this creates a difficult balancing act: AI could eventually boost productivity and reduce inflation, but its current buildout is contributing to higher prices.

OpenAI chief economist Ronnie Chatterji said AI needs to be adopted by organisations and generate measurable value before its broader economic impact becomes visible in productivity statistics.

AI Adoption Remains Uneven

Capital spending on AI infrastructure in the U.S. is expected to reach $581 billion this year, according to Goldman Sachs Research, with global investment potentially reaching $1 trillion.

Despite the scale of spending, adoption remains far from universal. A May survey by the U.S. Census Bureau found that 17% to 20% of U.S. businesses reported using AI, with adoption significantly higher among large companies.

Companies that have implemented AI at scale also highlight the challenges. Julie Averill, former CIO of Lululemon, said successful deployment requires changes in employee behaviour and trust in the technology. OpenAI has observed a similar divide: its most advanced business users deploy AI at around eight times the rate of average companies.

Why Productivity Gains May Take Time

Economists point to the limits of automation. AI can perform individual tasks effectively, but many jobs combine tasks that are difficult to automate.

Stanford professor Charles Jones refers to these as “weak links”. Radiology, for example, involves interpreting scans but also communicating with patients and working with colleagues. AI can automate part of the job without eliminating the profession itself.

As a result, the full economic impact of AI may not become clear until businesses adopt the technology more broadly and reorganise their operations around it.

AI Adds To The Fed’s Policy Challenge

AI’s economic impact has become part of the Federal Reserve’s policy debate. Fed Chairman Kevin Warsh has argued that AI could eventually become a significant disinflationary force by increasing productivity and strengthening U.S. competitiveness.

Other officials are more cautious. In July, the Fed kept interest rates at 3.5% to 3.75%, while some officials expressed concern that AI infrastructure spending could add to inflationary pressures.

Minneapolis Fed President Neel Kashkari pointed to massive data-centre investment as a new source of demand. Household electricity prices rose 10% in the two years through July, compared with a 6.2% increase in overall consumer prices. Meanwhile, shortages of chips and other AI components are pushing up costs. JPMorgan Chase estimates that DRAM prices could rise 400% by the end of 2026 compared with 2024.

Warsh has consequently adopted a more cautious tone, saying that while AI investment is laying the groundwork for future growth, the timing and scale of its economic effects remain difficult to predict.

For the Fed, the challenge is clear: AI could eventually deliver major productivity gains, but the cost of building that future is already showing up in the economy.

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