MacRumors, citing a Kuo report:
Apple is planning to produce between 60,000 and 80,000 Vision Pro units for the February 2 launch of the device, according to analyst Ming-Chi Kuo. With the small size of the shipment, Kuo believes that the Vision Pro will "sell out soon after the release."
Relative to Apple's current scale (churning out hundreds of iPhones per minute), a launch this small would be downright artisanal.
I read this post after seeing the news that the purchase process will indeed
require a face
scan
and any prescription lens
selection
(though, mercifully, one can wait to upload a scan of a prescription until after
checkout). Suddenly, it became clear that manically force-relaunching the Apple
Store app at 8 AM on January 19th might not be enough to ensure a launch day
delivery date.
Or would it?
Lately whenever I've found myself uselessly fretting about something, I've asked ChatGPT 4. So let's see what it has to say in response to this query:
Searls: help me estimate how many programmers between age 20 and 50 work in the US, make over $150,000 per year, and would be likely to buy the Apple Vision Pro at launch for $3,499
Of course, my premise is bullshit: people who aren't programmers and people who aren't between 20 and 50 will buy this product. But given that it'll be pretty hard to estimate what proportion of humans writ large will want to fork over $3,499 (or more), narrowing the demographic seemed necessary.
Chat GPT's response was characteristically humorous:
ChatGPT: Estimating the number of programmers in the U.S. who meet specific criteria like age, salary, and interest in a high-end product requires a multi-step approach:
-
Identify Total Programmers in the U.S.: We need to determine the total number of programmers or software developers in the U.S.
-
Age Filter (20-50 years): Estimate the proportion of these professionals who are between the ages of 20 and 50.
-
Salary Filter (>$150,000/year): Identify what percentage of these individuals earn over $150,000 per year.
-
Likelihood to Purchase High-End Product: Estimate the likelihood of this demographic purchasing a high-end product like the Apple Vision Pro at launch.
Let's start with step one and use available data to estimate the total number of programmers in the U.S. We'll use data from sources like the U.S. Bureau of Labor Statistics (BLS) or similar reports.
After that, we can apply demographic and income filters based on typical distributions in the tech industry. Finally, we'll estimate the purchasing likelihood based on consumer behavior patterns in similar income brackets and interest in technology products.
I'll begin by finding the total number of programmers or software developers in the U.S.
Based on a placeholder number for illustrative purposes, let's assume there are approximately 4,000,000 programmers or software developers in the U.S. Now, we'll proceed to the next steps:
-
Age Filter (20-50 years): For this, we need to estimate what proportion of these professionals are in the age group of 20-50 years. Let's assume, based on typical age distributions in the tech industry, that about 70% of programmers fall within this age group.
-
Salary Filter (>$150,000/year): Next, we'll estimate what percentage of these individuals earn over $150,000 per year. This might vary widely, but for the sake of estimation, let's assume that 20% of programmers in this age group earn over $150,000 per year.
-
Likelihood to Purchase High-End Product: Finally, we'll estimate the likelihood of this demographic purchasing a high-end product like the Apple Vision Pro at launch. This is quite speculative, but for the sake of estimation, let's assume 10% of the high-earning programmers are interested in purchasing such a product at launch.
Let's calculate these estimates.
Based on these estimates:
- Approximately 70% of programmers are aged between 20 and 50.
- About 20% of these programmers earn over $150,000 per year.
- And roughly 10% of this high-earning group might be interested in purchasing a high-end product like the Apple Vision Pro at launch.
The estimated number of programmers in the U.S. who fit all these criteria and would likely buy the Apple Vision Pro at launch is around 56,000.
Please note that these figures are based on assumptions and should be used as a rough estimate. Actual numbers may vary based on more precise data and research.
Incidentally, 60,000-80,000 might be close to the actual launch day market for this thing
in the US! Unfortunately, GPT failed to account for the prevalence of scalpers.
This makes me wonder whether the face-scanning step was added not only to
improve customer experience (recall the Solo loop band
fiasco
based on shoddy in-app sizing guidelines), but also to slow scalpers down and to
reduce the fungibility of the Vision Pro by obfuscating which size light shield
someone is actually buying.
Of course, if Apple really wanted to discourage scalpers, they would lock the
device to the iCloud account of whoever purchased it for some period of time.
But since that would cause significant customer support headaches, it's unlikely
Apple would ever bother.
