Despite the rapid advancements in AI, Apple has taken a more measured approach, prioritizing on-device AI development and focusing on cost-effective solutions. While other tech giants like Microsoft and Alphabet struggle with integration and reliability issues, Apple leverages open-source models and invests in hardware advancements to pave the way for a robust and privacy-focused AI experience.
Without a doubt, the Big Tech is still fumbling with the AI rollout. Alphabet’s Gemini AI was so embarrassing that Elon Musk described its inner workings as “‘insane racist, anti-civilizational programming clear to all’. Microsoft’s Copilot struggles with integration, as October’s Gartner survey showed that employees overwhelmingly struggle to integrate it into their daily routines.
So far within Big Tech, Apple has spent the least on AI annually, only ~$10 billion in 2023, or about $20 billion from 2019 to 2024. Moreover, if AI tasks and features have to be done real-time, it is ideal to have low-latency work independent of cloud infrastructure. Suffice to say, this on-device AI approach should give Apple a significant competitive edge as both Alphabet and Microsoft rely on their expensive cloud infrastructure.
AI Apple On-Device AI Open-Source Hardware Development
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