How Qualcomm’s CIO is Placing Big Bets on AI to Support the Chip Company’s Diversification Push

Qualcomm, the semiconductor giant, has been quietly adapting to a post-smartphone era by placing big bets on artificial intelligence (AI). Under the leadership of CIO Atilla Tinic, who joined the company just over a year ago, Qualcomm is leveraging AI to diversify its revenue streams, streamline operations, and drive innovation.

Tinic’s background in telecommunications and his experience at EchoStar have given him a unique perspective on the opportunities and pitfalls of transformation. He was drawn to Qualcomm because of its forward-thinking approach to diversifying its business beyond the volatile smartphone market. By expanding into data centers, automotive, the internet of things (IoT), and other adjacent markets, Qualcomm is well-positioned to capitalize on growing demand for AI-driven technologies.

One key area where Tinic has made a significant impact is in creating centralized data and AI teams instead of embedding these resources into various infrastructure and application teams. This strategic move has enabled Qualcomm to pool its expertise and resources, accelerating innovation and improving collaboration across the organization. The company’s aggressive deployment of AI tools, including coding assistants like Microsoft Copilot and generative AI features from vendors such as ServiceNow, Slack, and Jira, has also contributed significantly to its success.

Tinic measures progress through “volume, velocity, and quality,” a pragmatic approach that acknowledges the complexities of implementing AI at scale. By focusing on these metrics, Qualcomm can assess the impact of its AI initiatives and make data-driven decisions about resource allocation. This approach reflects Tinic’s commitment to repurposing employees for high-value tasks that drive business growth.

Qualcomm’s AI council, established before Tinic’s tenure but continued under his leadership, is another key component of its strategy. Comprising legal, security, and IT experts, this council ensures that new large language models, AI tools, or data sets are secure and compliant with the company’s governance framework. This structure provides employees with confidence in using authorized AI tools, enabling them to innovate without fear of regulatory repercussions.

As Qualcomm continues to push the boundaries of what is possible with AI, it must also manage costs effectively. Tinic has established token limits for AI spend, recognizing that even generous deployment can quickly become expensive if left unchecked. By closely monitoring its AI token spend and making strategic decisions about model selection, Qualcomm ensures that its investments in AI drive real business value.

Qualcomm’s revenue and earnings results for the first two quarters of 2026 exceeded Wall Street’s expectations despite a contracting global smartphone market. This success serves as a testament to Tinic’s leadership and the company’s willingness to take calculated risks.

In an era where many companies are struggling to come to terms with AI, Qualcomm stands out as a beacon of innovation and adaptability. As it continues to push the boundaries of what is possible with AI, other companies will likely follow suit. For now, however, Qualcomm remains at the forefront of this quiet revolution, driven by Tinic’s vision and leadership.

The consequences of this trend are far-reaching, not just for Qualcomm but for the entire tech industry. As more companies adopt AI-driven strategies, we can expect to see a fundamental shift in how businesses operate, innovate, and grow. It is an exciting time, full of possibilities and challenges. One thing is certain: Qualcomm’s quiet revolution will continue to shape the future of the tech landscape.