Apple Has ZERO Chance of Winning the AI Race (Here's Why)

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Is Apple actually in the AI race? The short answer is NO.

Lately, my inbox has been flooded with questions and videos claiming that Apple is secretly positioned to dominate the Artificial Intelligence market through distributed computing and their M-series chips. Mainstream tech influencers and "Apple Fanboys" are pushing a narrative that the era of cloud computing is over and that Apple’s hardware will dethrone OpenAI and Google.

In today’s episode of RubenTek, I am debunking this myth completely. We need to separate the "Reality Distortion Field" from the actual engineering reality.

We dive deep into:

The "Distributed Computing" Fallacy: Why local LLMs on your iPhone will never match the exponential power of centralized multi-trillion parameter models like Gemini or GPT-5.

Inference vs. Training: Why Apple’s silicon is great for running small models but useless for the actual creation of AI.

The "Cult" of Tech: How the psychology behind Elon Musk’s Tesla following mirrors the early days of Apple, blinding investors to technical realities.

The Real AI Leaders: A look at the actual research papers and open-source contributions. We compare Apple’s zero presence on Hugging Face to the dominance of Google (AlphaGeometry, AlphaFold) and Chinese research teams (Huawei, Qwen).

Apple's Real Play: How Apple will still make a fortune—not by winning the race, but by being the "Walled Garden" that charges you to access the winners.

If you are tired of the hype and want a realistic look at the intersection of tech, politics, and finance, you are in the right place.

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KEYWORDS: Apple AI strategy, Apple vs Google AI, M3 Ultra AI performance, edge computing vs cloud AI, Google AlphaGeometry, Huawei AI progress, Qwen LLM, tech stock analysis 2026, AI hardware limitations, large language models explained