John Ternus, a veteran Apple executive, takes over as the company's chief executive on Tuesday, succeeding Tim Cook. Ternus, who has been in charge of Apple's hardware engineering team since 2018, inherits a company that dominates the global smartphone market but lags behind its peers in artificial intelligence. The shift in leadership comes at a critical time for Apple, as the company seeks to catch up with rivals like Samsung and Huawei in the AI-powered smartphone market.
Under Ternus' guidance, Apple has been working on several AI-powered projects, including its Core ML machine learning platform and the A15 Bionic chip. The company has also made significant investments in AI research, partnering with universities and research institutions around the world. However, despite these efforts, Apple remains far behind its competitors in terms of AI capabilities. According to a report by Counterpoint Research, Apple's smartphone shipments in the second quarter of 2022 were 64.7 million units, while Samsung shipped 73.8 million units, Huawei shipped 63.5 million units, and Xiaomi shipped 56.7 million units.
Ternus' appointment is seen as a major boost to Apple's AI efforts, as he brings a wealth of experience in hardware engineering and AI research. His team has been working closely with Apple's software engineers to develop more sophisticated AI-powered features for the company's devices. Apple's latest iPhone, the iPhone 13 Pro, features a new AI-powered camera system that can automatically adjust settings for better image quality. The company has also been exploring the use of AI in areas like health monitoring and personalized recommendations.
Apple's shift towards AI has significant implications for the data sources domain. The company's dominance in the smartphone market means that its data sources are among the most valuable and sought-after in the industry. Companies like Facebook, Google, and Amazon, which rely heavily on user data, will be watching Apple's AI efforts closely to see how the company's data sources are used and monetized. Research communities and policymakers will also be paying close attention to Apple's AI initiatives, as they seek to understand the potential benefits and risks of AI-powered data analysis.
The impact of Apple's AI efforts will also be felt in the broader market, as companies like Samsung and Huawei seek to catch up with the technology leader. In the US, policymakers are already starting to take notice of the growing importance of AI in the data sources domain. The National Science Foundation has announced plans to launch a new initiative focused on AI research and development, and the Federal Trade Commission has issued guidance on the use of AI in data collection and analysis.
Apple's shift towards AI is part of a larger trend towards technological convergence, where different fields like hardware, software, and data analysis are becoming increasingly intertwined. This trend has been driven by advances in areas like machine learning, natural language processing, and computer vision, which are enabling companies to build more sophisticated AI-powered systems. The rise of cloud computing and edge computing has also made it possible for companies to analyze large amounts of data in real-time, without having to store it in the cloud.
Why it matters: this intelligence reflects a shift that researchers and analysts should follow closely.
Billy Odell Tucker-Robinson is the founder and host of Banking With Billy, an independent financial intelligence platform covering markets, stocks, AI, crypto, and world news. Billy operates a 24/7 live AI radio and Stock TV platform, hosts a growing Discord community, and produces daily content on YouTube @BankingWithBilly.
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