Starbucks Corp. is tying a portion of its technology employees' incentive pay to meeting artificial intelligence adoption benchmarks as the company seeks efficiency gains across corporate and store operations. An internal document reviewed by company sources indicates that a quarter of bonuses for tech staff will be linked to department-wide priorities that explicitly include AI adoption.
The internal guidance lays out that part of the bonus pool will be allocated based on how departments deliver on goals in the firm's "Back to Starbucks" strategy, with one metric being the number of priority initiatives powered by AI. The document also lists other departmental priorities that factor into bonus calculations, including the performance of the order-and-pay function in the Starbucks mobile application.
People familiar with the matter who were not authorized to speak publicly said that, under the plan, software developers must use an AI assistant multiple times per week to qualify as meeting the company's adoption thresholds. That usage requirement is presented as a compliance measure tied to the broader adoption targets.
The rollout of the bonus structure applies to most employees in technology roles. It comes as Starbucks applies AI tools both at its headquarters and within store operations with the stated goal of improving customer experience and supporting sales growth.
Executives are tracking how many high-priority projects within the company's strategic backlog are being implemented with AI capabilities. The internal document frames AI adoption as an operational priority alongside other technology-driven objectives, signaling an effort to align employee incentives with corporate execution milestones.
The new incentive link emphasizes regular, demonstrable use of AI tools by software developers as a condition for meeting department goals. At the same time, the bonus calculation continues to include traditional department performance measures, such as the functionality and reliability of the app's order-and-pay feature, indicating a blended focus on both new technology adoption and established customer-facing performance metrics.
By connecting part of compensation to measurable AI adoption and app performance goals, the company is aiming to encourage integration of AI into prioritized projects while maintaining attention on core operational outcomes.