This seems too little too late.
Could not immediately find more info on this
UK sovereignty seen at risk
https://hansard.parliament.uk/Lords/2026-04-13/debates/5D5AAA0E-BE76-4BA1-877F-25D32337BECE/details#contribution-08767568-C287-46F0-9CBE-3F39E3C0078C
View the Hansard contribution by Lord Clement-Jones (LD) on Monday 13 April 2026
My Lords, the Government have cited their own Ipsos research that 84% of people at work have not undertaken any AI training in the past 12 months. The Government’s AI skills boost programme is welcome, but it is not enough. Will the Minister commit to personal learning accounts, giving individuals genuine choice over their upskilling, and to prioritising putting the creativity and critical reasoning at the heart of the national curriculum that AI cannot replicate?
https://x.com/clashreport/status/2061164163087626502?s=20
Notes
ChatGPT
A hyperscaler is a company that operates massive cloud computing and data center infrastructure at a scale large enough to rapidly expand computing, storage, and networking resources to serve millions of customers worldwide.
The term is most commonly used for cloud providers such as:
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud
- Alibaba Cloud
- Oracle Cloud Infrastructure
What makes a company a hyperscaler?
A hyperscaler typically has:
- Hundreds of thousands to millions of servers
- Global networks of data centers
- The ability to scale resources automatically as demand grows
- Custom-designed hardware, networking, and software infrastructure
- Massive investments in AI, cloud services, and data storage
Why are hyperscalers important?
They provide the infrastructure behind many modern services:
- Streaming platforms
- E-commerce sites
- Mobile apps
- Artificial intelligence systems
- Enterprise software
For example, when a company launches a new app and suddenly gains millions of users, it can use a hyperscaler’s cloud platform to quickly add computing capacity instead of building its own data centers.
Hyperscaler vs. regular cloud provider
A regular cloud provider may operate a few data centers and serve a regional market. A hyperscaler operates infrastructure on a global scale and can add enormous amounts of capacity very quickly while maintaining high reliability and low costs.
In AI discussions, you’ll often hear about hyperscalers because they are the companies building the huge data centers and GPU clusters needed to train and run large AI models.