We also have the Stargate UK data center that the Starmer government trumpeted before it was exposed as a glorified PR stunt without any substance. [1]
[1] https://www.theguardian.com/technology/2026/jul/04/openai-ap...
We also have the Stargate UK data center that the Starmer government trumpeted before it was exposed as a glorified PR stunt without any substance. [1]
[1] https://www.theguardian.com/technology/2026/jul/04/openai-ap...
So don’t worry, there is already probably a nationwide video surveillance system out there, even without Kevin
With things like video, photo, audio, and liturgical surveilance, the data is largely out in the open (or simply purchased from their hosting platforms, leading to social media and adtech companies like Facebook and Google being defense contractors by nature) and does not need to be decrypted (in most cases) - rather, it needs to be correlated. This is a great task for machine learning because that's what the field has largely been engineered to do for the last 60 years, but it relies so, so, so heavily on having data to both train on and use in its practice. Storage of all data is the perfect end-goal of a surveilance state. Storage requires data centers. Data centers of this calibre are effectively black sites in that they are nigh impenetrable in both practical and legal senses, and I'd wager many data centers host actual digital black sites simply due to their ubiquity as means of doing so coupled with the necessity of the hardware and facilities they provide that are needed for doing so.
Theres really nothing that will ever be publicly available that would say "this data center has a hundred thousand SOTA GPUs in it that are doing gait recognition on every camera in every airport in the world in real time" versus "this data center is a bunch of tape machines that store everything ever recorded from every facsimilie of Room 641A[1]".
0: https://en.wikipedia.org/wiki/Harvest_now%2C_decrypt_later
You can see this in the long time intervals specified for Declassification of classified documents.
"Executive Order 13526 establishes the mechanisms for most declassifications, within the laws passed by Congress.[1] The originating agency assigns a declassification date, by default 25 years. After 25 years, declassification review is automatic with nine narrow exceptions that allow information to remain as classified. At 50 years, there are two exceptions, and classifications beyond 75 years require special permission."
https://en.wikipedia.org/wiki/Declassification#United_States
"Decrypt Later" should generalized to "Use Later", many recordings are useful without decryption, just from the metadata you can establish who, when communicated. Identification of relations between persons, building of social graphs, is the basic of intelligence work. Much of this relationship analysis can be done just from metadata.
One example of such analysis is the NSA Co-Travel Analytics
"CO-TRAVELER does not simply collect location information. It creates a portrait of travel times and people who crossed paths, revealing our physical interactions and relationships. The cell site information goes beyond email and phone calls and ordinary telephony data, allowing the U.S. government to know who we are with in-person and where. This is information that would be impossible to collect using traditional law enforcement methods. "
https://www.eff.org/deeplinks/2013/12/meet-co-traveler-nsas-...
https://www.eff.org/files/2013/12/11/20131210-wapo-cotravele...
Also, have you considered AI being necessary to fill in for missing surveillance footage if the cameras are failing (the ruling class)? E.g. the whole Epstein (PR) disaster could have been avoided if the cameras could have been kept running and the footage post-processed in time.
Even if a camera supports 4k 60fps video, the 'edge AI' can downscale the input to 224x224 2fps and use a small network.
Often the 'edge AI' just needs to detect humans/cars/pets and trigger saving some footage to an SD card/turning on a light. It's not the end of the world if it misses some things or raises false alarms sometimes.
And if you buy a Reolink on Amazon expecting it to be able to recognise a face from 20 yards away, you'll be disappointed.
Conversely I see heaps of already in progress data center builds and upgrades tacking AI on as the purpose as just PR to sell colo.
probably not short trading, but investigating leveraging positions may be worth it.
That being said, there is a lot of actual buildouts happening right now. The question is how much of the planned future capacity will actually get developed.
Kevin O’Leary also published pictures of him shedding tears while buying an Audemars Piguet watch, which should be brought up and mocked every time he’s mentioned.