The spirits industry, long defined by heritage, craftsmanship, and the slow maturation of liquids in oak barrels, is currently facing a transformation that moves at a decidedly more digital pace. As the mid-2020s unfold, the question being asked across boardrooms from London to Kentucky is no longer if technology will change the trade, but whether the current advancement of Artificial Intelligence (AI) represents the 21st-century equivalent of the Industrial Revolution.

For centuries, the distribution of alcohol has relied on a complex, often opaque web of wholesalers, importers, and brokers. Today, that "grip" of tradition is being loosened by algorithms. Morten Stengaard, CEO of Bemakers, a pioneer in alternative distribution, suggests that the industry is at a tipping point. As AI moves from a buzzword to a fundamental operational layer, the way spirits are moved, sold, and tracked is undergoing a radical reconstruction.

Main Facts: The Digital Decanting of Distribution

The core of the AI revolution in spirits lies in the reconciliation of two disparate worlds: the physical movement of heavy glass bottles and the digital flow of information. While the former remains a manual, logistical necessity, the latter has historically been a chaotic mess of spreadsheets, lost invoices, and "data silos."

The Transparency Gap

In a traditional distribution model, a bottle of premium gin might pass through five to seven different stakeholders before reaching a back bar in London. Each of these intermediaries—importers, national distributors, regional wholesalers, and sub-distributors—takes a margin and, crucially, retains the data. This creates a "transparency gap" where the original brand owner often has no visibility into the final sale price or the identity of the end customer.

The Bemakers Intervention

Bemakers has positioned itself as the antithesis of this opaque system. By utilizing AI to automate the "everything around" the physical product—excise duties, VAT rates, warehouse management, and compliance—the company allows brands to retain ownership of their goods and their data. Through a subscription-based model, brands ship pallets to Bemakers’ warehouses, but they keep the "intellectual property" of the sale.

The 80/20 Relationship Flip

One of the most compelling arguments for AI in this space is not the replacement of humans, but the reallocation of their time. The spirits industry is fundamentally relationship-driven; a brand’s success often depends on a brand ambassador’s rapport with a bartender. Currently, those professionals spend roughly 80% of their time on administrative tasks and only 20% on building relationships. AI is designed to flip that ratio, automating the "grunt work" to allow for more human-centric brand building.

Chronology: From Legacy Systems to LLM Integration

To understand the speed of this shift, one must look at the timeline of the last 24 months, a period where AI transitioned from a peripheral experimental tool to a core business requirement.

• Early 2024: The Exploratory Phase. Large spirits conglomerates began experimenting with basic AI for demand forecasting. Most initiatives were "siloed," meaning they didn’t communicate across the entire supply chain.
• Late 2024: The Rise of Specialized Platforms. Companies like Bemakers began developing industry-specific AI interfaces. This marked a shift from using general AI (like basic ChatGPT) to "Contextual AI" that understands the nuances of alcohol legislation and three-tier distribution systems.
• 2025: The Efficiency Surge. Throughout 2025, platforms like Claude and Gemini became "insanely efficient," as noted by Stengaard. The ability of these models to process unstructured data (like handwritten orders or complex tax codes) improved by an order of magnitude.
• 2026: The "Adapt or Die" Ultimatum. By the current year, the gap between "AI-native" brands and "AI-hesitant" firms has widened. Stengaard’s warning—that those who don’t go "all in" within 12 months will be "toast"—reflects a market where speed of insight has become the primary competitive advantage.
• July 2026: The Labor Realignment. The announcement by US giant Southern Glazer’s that it would cut 1% of its workforce to move toward a "hybrid" AI customer service model signaled that the theoretical benefits of AI were now manifesting as structural corporate changes.

Supporting Data: The Mechanics of the Value Chain

The economic argument for AI in spirits distribution is supported by the sheer complexity of the global value chain. When a product moves across borders, it encounters a labyrinth of financial hurdles.

Data Visibility and Control

In a standard chain, the "data trail" usually dies at the first wholesaler. Morten Stengaard points out that most brands do not know what a specific restaurant pays for their product. By digitalizing the chain, AI can pull that insight back to the brand. This transparency leads to "Control," a word Stengaard emphasizes. With control over pricing data, brands can optimize their marketing spend and adjust their production schedules in real-time based on actual consumption rather than wholesaler projections.

The Bemakers AI Tech Stack

Bemakers is currently building "Bemakers AI," a proprietary platform that serves as a brand’s interface for data engagement. Rather than building a closed system, they are leveraging the "foundations of the big guys"—using models from OpenAI (ChatGPT), Anthropic (Claude), and Google (Gemini).

• Interoperability: A key feature is the ability for a brand’s own AI (e.g., a corporate Claude instance) to connect directly with the Bemakers platform.
• Automation of Mundane Tasks: The platform handles the "late-night text" scenario. If a bartender messages a sales rep at 2 AM for six bottles of gin, the AI consumes the order, checks inventory, generates the invoice, and schedules the shipment—all without human intervention.

Market Adoption Rates

Stengaard observes a bifurcated market:

1. Small Brands: Often "going all in" because they lack the legacy baggage of large corporations and need the efficiency to survive.
2. Large Firms: Split between "intent-driven" adopters and "hesitant" laggards who are slowed by bureaucracy and the fear of disrupting existing wholesaler relationships.

Official Responses: Voices from the Front Line

The industry’s response to this digital shift is a mix of cautious optimism and cold pragmatism.

Morten Stengaard, CEO of Bemakers, remains the most vocal proponent of a "Human-Plus-AI" model. He acknowledges the inevitability of job displacement but focuses on the evolution of roles. "The bottles still need to be moved from A to B. The drinks still need to be created," Stengaard says. He argues that while tasks are being made redundant, the "relationship part" will not go away. His advice to his own team is a mantra for the modern worker: "Think hard about what you can do that AI doesn’t do."

On the corporate side, Southern Glazer’s Wine & Spirits, the largest wine and spirits distributor in the United States, recently provided a stark example of AI’s impact on the workforce. In July 2026, the company confirmed a reduction of approximately 1% of its US workforce. The official stance is that this move facilitates a transition to a "hybrid customer service system." This system utilizes AI to help the company "adapt to market changes" and provide more responsive service, though it serves as a sobering reminder that efficiency often comes at the cost of traditional headcount.

Implications: The Future of the Spirits Trade

The long-term implications of the AI revolution in spirits distribution suggest a leaner, more transparent, and more volatile market.

1. The Erosion of the "Middleman" Monopoly

Traditional distributors who rely solely on being a "gatekeeper" of logistics are at risk. If a platform like Bemakers can handle the taxes, storage, and shipping via AI for a flat subscription fee, the high-margin model of traditional wholesalers becomes harder to justify. Wholesalers will be forced to provide genuine value—such as sophisticated marketing or deep regional expertise—rather than just "owning the trucks."

2. The Rise of the "Direct-to-Trade" Model

AI enables a "Direct-to-Trade" (DTT) revolution. Brands can now bypass several layers of the value chain to sell directly to bars and restaurants. This doesn’t just increase margins; it builds a direct feedback loop between the producer and the pourer.

3. A Shift in the Labor Market

The workforce of the spirits industry is being bifurcated. On one side, we see the rise of the "Super-Salesperson"—someone who uses AI to handle all their admin and spends their entire day in the field building brand equity. On the other side, back-office roles in order entry, basic customer service, and routine compliance are rapidly disappearing.

4. The "Toast" Scenario

Stengaard’s warning about being "toast" in 6 to 12 months highlights the compounding nature of AI. Companies that adopt AI today are collecting data that will make their AI smarter tomorrow. Those who wait a year will not just be a year behind; they will be structurally incapable of catching up to the efficiency of their competitors.

In conclusion, the spirits industry is proving that even the most traditional sectors cannot remain insulated from the "grip" of AI. As the technology continues to evolve, the successful brands of 2027 and beyond will likely be those that view AI not as a threat to their heritage, but as the engine that finally frees them from the administrative shackles of the past, allowing them to focus on what they do best: creating exceptional products and building the relationships that define the world of hospitality.