By Natalie MacLean
I recently argued that the wine writing conversation has been too focused on whether AI can describe aromas convincingly. That piece covered five larger shifts happening now. The following five are more quietly threatening, structurally unsettling, and in at least one respect, genuinely exciting.
1. The Digital Twin Critic
Wine writing has always had ancestors: André Simon, Pamela Vandyke Price, Alexis Lichine. Their language, standards, and quirks live on in the prose of those who followed. AI can now make that inheritance literal.
By training on the complete published output of a previous critic, an AI system can reconstruct that writer’s stylistic fingerprints with unnerving precision: the vocabulary they favoured, the regions they trusted, the structural bones of how they built an argument. The result is not imitation but a cross-temporal dialogue. A 2025 Okanagan Cabernet reviewed through the sensibility of a 1930s London palate. A Burgundy assessed by a system modelled on the critical language of the postwar generation.
This is not nostalgia. It is a forensic tool for understanding how taste itself has changed, how ripe fruit displaced elegance, how scores replaced narrative. The digital twin critic holds a mirror to the present by speaking from the past.
2. Deepfake Terroir
This is the dangerous one. The same AI that can reconstruct a historical critic can also write a story about a wine that is entirely fictional.
Industrial-scale producers are already using generative AI to write winery histories and harvest legends. The grandmother who tended the vines for forty years. The family plot on the south-facing slope in the same hands for five generations. The hand-harvested fruit, the artisanal approach, the deep respect for the land. It reads like a novel because, increasingly, it is fiction.
None of it may be true, but all of it will be meticulously written.
The wine writer’s role is about to expand in a direction nobody anticipated: forensic investigator. The skills that once went into sensory description will increasingly go into verification. Does this estate actually exist? Does this vintage match the claimed production method? Is this story consistent with what satellite imagery shows about the vineyard’s size and mechanization?
Writers who can detect algorithmically generated fiction will become the most valuable critics in the industry. The mud on their boots will be the credential no AI can replicate.
3. Biometric Wine Pairing
Many wine pairing guides will tell you what to drink with duck confit or aged cheddar. None will tell you what to drink after you have lost a client, had a fight with someone you love, or sat in traffic for ninety minutes in the rain.
AI is beginning to close that gap. Systems that read biometric data, heart rate variability, cortisol proxies drawn from wearable devices, even the ambient light and noise level of a room, can now infer emotional state with surprising accuracy. The next step, already being prototyped by companies working at the intersection of wellness technology and hospitality, is pairing that emotional data with both a wine and the story written about it.
Whether that feels like a service or a surveillance will depend on who controls the data.
4. The Vintage That Has Not Been Poured Yet
Wine writers have always worked in retrospect. The bottle is opened, the wine tasted, the note written. The entire craft is built on the premise that something must exist before it can be described. AI is dissolving that premise.
Soil moisture sensors, satellite thermal imaging, fermentation chemistry tracked in real time, and climate models calibrated to the specific conditions of a harvest: together, these data streams now allow predictive systems to describe the likely profile of a wine still aging in barrel. The 2026 vintage can be written about in 2025. Drinking windows can be projected before a cork has popped.
For wine writers, this is a new kind of storytelling. The biography of an unfinished thing. Not a review but a forecast, and one with enough scientific grounding to be taken seriously. The writer becomes part journalist, part climate scientist, part prophet.
5. The Abundance Paradox
The most counterintuitive consequence of AI in wine writing will be the revival of voice. The internet will soon be saturated with technically competent AI wine content. Every appellation covered. Every vintage assessed and scored. Most of it accurate, generated by systems that have read more wine writing than any human ever will.
And most of it completely forgettable.
When information becomes infinite, readers stop searching for information. They start looking for perspective. What, or who, do do they find? Writers who are funny, sharp, or unexpectedly moved by a modest table wine from an underreported region. Critics candid about wines that do not live up to their reputation or their price. Storytellers who weave narrative with enough honesty that even failure becomes interesting because it is human.
The flood of algorithmically perfect prose will, paradoxically, make imperfection the most valuable thing a wine writer can offer.
AI has no scars. It has never stood in a vineyard after a frost that took the harvest or felt the relief of a warm September after a summer of rain. Those experiences leave marks that show up in prose. Readers respond to them even when they cannot explain the pull.
The algorithm will describe exactly what is in the glass. The writer will share the messy human struggle to get it there.
