- AI-generated LinkedIn posts surged by 189% after the launch of ChatGPT in late 2022
- The coffee market is flooded with predictions and self-made “experts”
- Coffee market movements are increasingly detached from supply and demand fundamentals
NOT so long ago, market analysis in the coffee sector was the domain of a few: traders, brokers, and seasoned roasters with access to tightly held information.
Today, the landscape looks radically different. Open LinkedIn, and you’ll find hundreds of posts offering detailed market forecasts, buying strategies, and even critiques of commodity trends – often penned by people with little formal trading experience.
One humorous Guardian article entitled “Why has LinkedIn become so weird” offers the playful analysis that “what used to be a perfunctory, professional space sitting in stark contrast to the oversharing of other social media, LinkedIn is now full of 1,000-word polemics from unqualified people […].”
Generative AI tools like ChatGPT have turbocharged the trend, churning out accessible market summaries and “insider” analyses at a moment’s notice. In fact, a recent study by the AI fact-checking platform Originality AI reveals that LinkedIn has become a hub for AI-generated content, with an estimated 54% of English-language posts now produced using generative AI tools.
The research also found that AI-generated posts surged by 189% following the launch of ChatGPT in late 2022 – and that the chatbot has remained a dominant force in content creation on the platform ever since. Posts have also become 107% longer in recent years.
“I think leaders need to realise that as AI comes fast and furious, the only thing they really own at this point is their voice and their opinions,” says Erin Trafford, CEO of Story Studio Network and Executive Content Strategist & Consultant.
“I consider ‘thought leadership’ to be an overused term, and prefer to see it as simply leadership. Leaders aren’t afraid to continuously say what they think. Over time, that builds the expectation of presence regardless of what the conversation might be about.”
In this new information economy, expertise – real or perceived – has become democratised.
And it is reshaping how coffee is bought, sold, and speculated on. As buyers and roasters digest a never-ending stream of online insights, strategies that were once quietly negotiated behind closed doors are now debated – and sometimes decided – in full public view.
In a business built historically on relationships and slow-earned trust, the explosion of public speculation is both empowering and destabilising.
Welcome to the era where everyone’s an expert – and the coffee market may never function the same way again.
The age of crowdsourced strategy
Armed with real-time information gleaned from industry posts, webinars, and AI reports, some coffee buyers are increasingly acting like speculators. When a roaster delays buying green coffee today, it is no longer simply hedging against price dips – it’s often actively betting on market behaviour.
Yet with coffee futures on ICE (Intercontinental Exchange) seeing historic highs and volatility, such bets are increasingly dangerous.
The proliferation of AI-generated market analyses, particularly those produced by tools like ChatGPT, has significantly influenced decision-making processes within the coffee industry. While these technologies offer rapid and accessible insights, they also introduce risks associated with overreliance on automated interpretations.
“In any industry, truthfully, I look for credibility through proximity to the problem,” says Erin. “Those leaders will communicate differently than any AI-generated content and the analysis will be more grounded and honest. I always look for the emotional tone, that’s an indication of human insight.”
A 2025 study by Pietrzak examined the short-term stock market impact of ChatGPT-related corporate announcements among US-listed companies. The findings revealed that while the information technology sector consistently benefitted, sectors such as financials and energy faced heightened risks. This disparity underscores the importance of sector-specific dynamics in response to AI-driven information dissemination.
In the context of the coffee market, the uncritical adoption of AI-generated forecasts can lead to homogenised strategies, potentially exacerbating market volatility. Therefore, while AI tools can augment market understanding, their outputs should be contextualised within the broader framework of industry expertise and nuanced analysis to mitigate unintended consequences.
Notably, different players are adopting sharply divergent approaches. Some boutique roasters are buying large volumes early to hedge against expected price hikes due to ongoing supply issues in Brazil and Vietnam.
Others, with slimmer margins, continue to gamble on future softening, often influenced by optimistic LinkedIn commentary or algorithm-generated projections suggesting the hope of oversupply in the not-too-distant future. Starbucks’ recent hedging shift is a prime example of this.
The market knowledge explosion is feeding both approaches. Yet it also fosters dangerous overconfidence. While market information has never been more accessible, interpreting it accurately requires experience that cannot be crowdsourced.
This gap between access and expertise is becoming one of the most unpredictable forces in today’s coffee trading.
Secrecy versus oversharing
Interestingly, not all players are embracing this new transparency.
Most of the top earners in the coffee sector like JAB Holding Company, Tchibo, Lavazza, and even Nestlé are keeping their cards close to their chests. Their public statements on pricing, inventory strategy, and sourcing remain minimal – if not non-existent.
Contrast this with the explosion of openness among some mid-tier and boutique players. In an unusual move for the industry, Anne Djerai of Metropolis Coffee revealed her company’s profit margin – 45% – on a podcast recently, for example. Some companies are prepared to expose themselves publicly to demonstrate either transparency or leadership and success, in this case, regardless of the industry scrutiny that could ensue.
“The growing trend of transparency – like small brands sharing margins or hedging strategies – is a slippery slope that can lead to selling the wrong outcome, in my opinion,” says Erin.
“But I also think it’s important that we talk about expectations, validation, and the struggles of small business. I don’t like it when coaches use it as a way to validate results – for example: ‘I just made $100K this month,’ implying their clients will see those same results – but I do think it works sparingly in industries like SAAS, tech, and even marketing.”
This juxtaposition between corporate silence and boutique oversharing reflects a broader cultural divide.
Larger companies, with complex hedging strategies and global risk teams, have little incentive to expose their internal workings to rivals. Smaller players, by contrast, often use transparency as a branding tool, marketing themselves as open, ethical, and community-driven in a traditionally opaque industry.
But transparency can carry risks for some. Broadcasting margins or speculative bets not only informs competitors but also reshapes consumer expectations. If buyers expect transparency from one part of the market, it may become harder for others to justify opacity, even when commercial confidentiality demands it.
Where does all this leave the coffee sector? In a market now heavily influenced by social media narratives and AI-curated insights, strategic missteps are more likely.
Moreover, speculation fatigue may set in. In another recent article on the coffee industry’s response to high U.S. tariffs, Marc Schonland, strategic adviser in the coffee sector, warned: “It’s too early to know whether the industry will go ahead with an implementation of this [localisation of coffee roasting] strategy at scale, given the non stop changes and revisions to tariff policy.”
His comments hint at a broader industry anxiety: Market movements are increasingly detached from supply and demand fundamentals, driven instead by political signals and speculative reaction, compounding the volatility for producers and traders alike.
In the end, information is power – but only when properly understood.
In today’s coffee world, where every roaster, buyer, and barista-turned-analyst has a megaphone, the real advantage may lie not in having more information, but in knowing which signals to trust – and which to ignore. Thanks for coming to my TED Talk.
Coffee Intelligence
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