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Coffee’s Bitter Future: Trouble Is Brewing For Your Morning Latte

Coffee, the world’s second-most traded commodity, is hitting record highs—and it’s not just an abstract market shift. As coffee futures soar to unprecedented levels, consumers might soon face a bitter reality at the café counter. Rising bean prices, driven by severe weather and supply chain disruptions, are setting the stage for a potential price shock that could make your daily latte far more expensive.

In recent years, the cost of coffee has been on an upward trajectory. The COVID-19 pandemic pushed futures prices higher, and a series of harsh droughts in Brazil and Vietnam have further strained supplies. In December, Brazil—a major exporter of prized arabica beans—was hit by its worst drought in years, sending prices skyrocketing. Meanwhile, robusta beans, often used in instant coffee, have reached their record highs. The consequence? Coffee prices are now more than double their 2023 peak, a trend that promises to tighten consumer budgets even further.

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This surge in commodity prices directly impacts grocery shelves. Studies from the US Department of Agriculture have long shown that every $0.10 rise in coffee futures can immediately translate to a $0.02 hike in the retail price of ground coffee. With the consumer price index already reflecting a 3% increase over the past year—and instant coffee prices up by 7%—the financial pinch is becoming increasingly palpable.

For cafés, the dynamics are a bit different. While the cost of beans is critical, labor costs dominate the price of a latte. Industry giants like Starbucks can mitigate these fluctuations through multi-year contracts and hedging strategies, ensuring they have sufficient supplies on hand. Smaller roasters, however, are far more vulnerable to these swings. Some are even forced to adjust their flavor profiles, blending in lower-quality robusta or even mixing in corn and rice to stretch dwindling supplies—a phenomenon some have dubbed “flavorflation.”

The challenges extend beyond economics. Environmental concerns loom large, as the climate crisis wreaks havoc on coffee harvests worldwide. Extreme temperatures not only shrink yields but also invite diseases like coffee leaf rust, pushing production into decline. For many consumers, this uncertainty has led to genuine anxiety. As one coffee buyer put it, “I catch myself at cup four, wondering if there’ll be any coffee left at all.”

And then there’s the curious case of Dr. Honeybrew, a coffee fortune teller in Manhattan’s East Village. Gazing into his espresso cup, he quipped, “If the Trump family brings a cocker spaniel to the White House, it will be a very good omen for coffee.” While his prediction may bring a smile, it underscores a deeper truth: without decisive climate action and sound policy, the future of our favorite brew hangs in the balance.

Ultimately, the brewing crisis in coffee markets is not just a tale of rising prices—it’s a warning. Without aggressive measures to combat climate change and secure sustainable agricultural practices, the coffee crisis may not be a temporary hiccup but a permanent shift in the way we consume our daily cup of joe.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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