Starbucks Sells Coffee in ChatGPT: AI Immersive Ordering, Can It Drive the Stock Price?

TradingKey - Starbucks ( SBUX) recently launched a testing feature within ChatGPT: users chat with the AI about their mood, it recommends coffee, and then redirects them to the app to place an order. On the surface, this move appears to be an innovative attempt on the product side; however, it actually reflects the strategic logic Starbucks has adopted under income statement pressure—namely, utilizing AI to work on both operational cost reduction and customer acquisition efficiency.

Why is Starbucks deploying AI?

In the first quarter of fiscal 2026, Starbucks reported net revenue of $9.9 billion, a 6% year-over-year increase, but its operating margin during the same period dropped from 16.7% to 11.9%, and earnings per share plunged 62%. While revenue rose, profits contracted, pointing to a core variable: labor costs.

Starbucks' "Back to Starbucks" strategy has increased store staffing and raised service standards over the past two years. Although the customer experience has indeed improved, payroll has also significantly expanded. In North America, labor costs account for more than 40% of operating expenses. Given that labor cannot be reduced, management needs to leverage efficiency tools to alleviate cost pressures, which has led to the practical application of AI.

Green Dot Assistant: The Cost-Saving Tool Behind the Bar

Starbucks' AI deployment did not begin with ChatGPT. In mid-2025, it trialed an internal tool called "Green Apron Assistant" in 35 North American stores, running on Microsoft ( MSFT) Azure OpenAI. Baristas use tablets to receive real-time system prompts, including standard latte preparation methods, equipment failure alerts, and whether back-end staffing needs to increase during peak wait times. The primary goal is to compress the average service time per order from six minutes to four. The tool is slated for a full rollout across the U.S. and Canada in the fall.

If a store averages 300 orders daily and saves two minutes per order, it can unlock ten hours of daily capacity. At an average North American hourly wage of $15, a single store could save roughly $50,000 to $80,000 in annual labor costs. With over 10,000 stores in the U.S. and Canada, Starbucks could reduce annual costs by hundreds of millions of dollars. The company is unlocking productivity by compressing redundant labor hours without resorting to layoffs or pay cuts.

Ordering via ChatGPT: Securing a Position in the New Chat Interface

The "Green Apron Assistant" can help Starbucks reduce expenses, while ordering via ChatGPT is designed to save on future customer acquisition costs. In the past five years, the share of mobile orders at Starbucks has surpassed 30%, but acquiring new app users is becoming costlier, and push notification open rates have declined.

Meanwhile, people are spending more time using conversational tools such as ChatGPT. The starting point for coffee purchasing decisions is gradually shifting from search boxes to dialogue boxes.

Starbucks is collaborating with OpenAI and Microsoft to embed its ordering portal directly into the ChatGPT interface, allowing users to complete the entire flow from describing their needs to placing an order without opening a separate app.

The implication of this strategy is that businesses can secure a strategic position before emerging traffic channels mature and reduce their reliance on traditional app-based acquisition paths. The coffee category naturally possesses emotional consumption traits; therefore, conversion rates for preference information expressed in dialogue may be higher than those of the traditional menu-browsing model.

Why does Starbucks' stock price continue to slump?

Following the announcement, Starbucks shares saw only a slight uptick on the day, rather than a significant jump. The stock is up approximately 17% year-to-date, currently trading at around $98, though this gain stems from a low base following a 7.7% decline in 2025 and four consecutive years of losses. Analysts' average 12-month price target is approximately $103, peaking at $165. Tigress Financial lowered its price target from $136 to $122, maintaining a Buy rating while lowering expectations.

UBS noted in a recent research report that Starbucks is "more pragmatic than most retail peers" in its AI application, first validating ROI through internal tools before expanding to external customer acquisition; this incremental strategy has mitigated market concerns regarding "conceptual hype."

However, this path still faces several challenges.

First, the cost structure includes uncertainties. Continuous cloud API calls incur significant technical expenses, and there is currently no public quantitative data to support whether labor savings can fully offset the additional operating costs.

Second, data integration is complex. While linking ChatGPT interaction preferences with the Starbucks membership model could enable high-precision personalized recommendations, it faces barriers in privacy compliance, interface standards, and commercial interest allocation, for which Starbucks has yet to announce a specific plan.

Third, the sustainability of technical barriers. When all competitors have access to mainstream large models, AI-driven recommendation systems are unlikely to form a long-term moat. Starbucks' core barriers must still return to brand equity, supply chain efficiency, and store network density.

Summary

Starbucks’ integration of ordering instructions into ChatGPT has provided little direct short-term boost to its stock price, with the market treating it more as a subject for observation than a silver bullet. For Starbucks, which has faced four consecutive years of declines, whether AI can become a genuine turning point depends on whether the cost savings from its Green Apron Assistant can plug the holes in its income statement and whether ChatGPT-generated customer acquisition is more cost-effective than App Store channels. Investors should keep a close watch, but the definitive answer will only be revealed once Starbucks discloses its actual financial results.

Over the next few years, conversational interaction is poised to become a mainstream starting point for shopping. Brands must either proactively integrate into these new entry points or risk having their traffic diverted by early movers. Although the ultimate effectiveness remains to be seen, it has already secured a starting position before the strategic window closes. For a retail corporation with nearly $40 billion in annual revenue, this represents both a pragmatic choice under profit pressure and a preemptive bet on the future landscape of digital traffic.