A video: “TR The rise and fall of Apple Vision Pro”

This video analyzes the rise and fall of the Apple Vision Pro, describing it as a $20 billion bet that ultimately failed. Despite impressive specs, early hype, and selling out within 18 minutes, the $3,500 headset struggled due to its weight, high cost, and lack of compelling apps. The video argues that Apple’s fixation on VR caused them to miss the generative AI wave, forcing them to catch up and ultimately license AI tech from Google, while competitors like Meta found success with more practical AR glasses.

Key Takeaways

• The Flawed Playbook: Apple applied its usual strategy—waiting for a market to establish itself, then entering with a premium, integrated product. However, they misjudged the core assumption: unlike MP3 players or smartphones, there wasn’t a massive, proven consumer demand for heavy VR headsets that isolate users from the real world.

• The Cost of Tunnel Vision: Apple’s intense focus and billions spent on the Vision Pro (driven heavily by Tim Cook’s belief in the platform) blinded them to the rapid rise of generative AI like ChatGPT.

• Economics Didn’t Work: The headset cost around $2,000 to produce and sold for $3,500, but with only an estimated 390,000 units sold in 2024 (compared to 220 million iPhones), it was a “rounding error” that couldn’t sustain its development costs.

• Practical AR over Immersive VR: While Apple’s isolating VR headset struggled, Meta found unexpected success with their Ray-Ban smart glasses—a lightweight, practical application of AR that enhances the real world rather than replacing it.

Timestamps of Video Highlights

• [00:00] The 2023 announcement of the $3,500 Apple Vision Pro and the era of “Spatial Computing.”

• [01:35] How Apple built a massive skunk works project in 2015, eventually spending $10 to $20 billion on AR/VR R&D.

• [03:54] The jaw-dropping specs: 23 million pixels, eye tracking, and custom Sony OLED screens that cost $350 each.

• [06:04] The fundamental flaws emerge: the headset was too heavy, causing physical discomfort, and suffered from a severe lack of major apps (no Netflix or YouTube).

• [08:23] The pivot point: While Apple focused on hardware, OpenAI released ChatGPT, and Apple completely missed the AI revolution.

• [10:33] The ultimate indignity: Apple reportedly having to license Google’s Gemini AI because their internal models (like Siri) were too far behind.

• [12:29] The core lesson: Apple blindly followed their “first follower” playbook into a market that, unlike smartphones or watches, didn’t actually have widespread consumer demand.