Can AI Sell Weed? Panelists Say It Depends On The Data

Most cannabis operators have the same uneasy feeling about artificial intelligence right now. They know it is coming fast. They know competitors are already using it. And they know the wrong investment can burn through cash without delivering anything useful. That tension set the stage for a candid conversation at the IgniteIt Cannabis Capital Conference in Chicago, where a panel of technology leaders tried to answer a simple question with a complicated truth: AI can help sell cannabis, but only if companies understand what they are doing.

Moderator Sara Payan led the discussion with Christopher Guthrie of Innovia Consulting, Chris Violas of Blaze, Lauren LaPlante of Spokes Digital, and Dennis O’Malley of Echtrai Corp. Their collective message was clear. AI is already delivering real value in cannabis, but the winners will be the companies that treat it as a discipline rather than a novelty.

Early Wins Across Retail, Cultivation, And Marketing

Violas said retailers are seeing measurable gains from AI‑driven personalization. Online ordering across Blaze’s platform has climbed about 10% in recent months, and recommendation engines now influence one-third of carts. 

“AI has really helped cannabis retailers sell more,” he said, noting the primary goals are to “Automate the friction and protect the relationship.”

Guthrie sees similar traction in cultivation and manufacturing. Operators are using AI to consolidate data, connect environmental conditions to yield and potency, and spot inefficiencies that humans overlook. 

“AI is looking for patterns across huge data sets,” he said. “It can find leakage or extra labor that shows up as tiny crests in the data over six months.”

LaPlante highlighted the marketing gains possible with AI tools. Spokes Digital uses machine learning to analyze customer intent and deliver more relevant content without triggering ad platform bans. 

“It’s very important, especially in cannabis, to keep all of that AI data encapsulated within the customer’s environment,” she said.

O’Malley pointed to business intelligence as one of the strongest use cases. AI‑driven dashboards are helping executives close information gaps with boards and investors. 

“If used properly, it can solve some of the major issues we see,” he said. But he warned that companies need clear oversight of how they deploy AI.

Where Companies Are Getting It Wrong

The panelists were equally direct about the missteps. Guthrie said he often sees operators buy large enterprise AI subscriptions that go unused. 

“If your team is not trained on how to use it, an enterprise subscription is not going to pay off,” he said.

LaPlante noted that cannabis brands frequently misuse open AI tools for advertising, only to get banned. Violas sees retailers installing chatbots that are disconnected from inventory or customer data, creating more friction than value.

O’Malley warned that individual use of AI inside companies can create a false sense of certainty. 

“Everybody’s super smart, because AI, of course, is never wrong,” he said sarcastically, adding, “everybody all of a sudden is overconfident in terms of what they’re doing and the speed at which they’re producing things.” 

He also cautioned against employees uploading sensitive financial data to public models.

Why Governance Will Separate The Winners

If the panel had a single throughline, it was governance. AI is not a standalone solution. It requires structure, ownership, and discipline.

“Your context files should be kept in a vault,” Violas said. “They are your IP moving forward.”

Guthrie emphasized specificity. Companies need to define what they want AI to do, train teams on how to query systems properly, and avoid chasing trends. 

“It’s not a keeping up with the Joneses race,” he said.

LaPlante added that governance also means deciding what data feeds the AI engine, how often it is updated, and who maintains it.

O’Malley recommended appointing two internal AI leads: one for go‑to‑market functions and one for operations. 

“Somebody has to take a real objective look at how you can automate and where you can save money,” he said.

The Human Element Still Matters

Payan closed the session with a reminder that cannabis remains a relationship‑driven business. AI may help operators move faster and smarter, but it cannot replace the personal connection that defines the retail experience. “Human touch still matters,” she said. “You’re dealing with people, outcomes, and relationships.”

AI may help sell weed, but it will not do it alone.