Creon Butler
speaker
276 appearances
2 recordings
1 series
first heard Jun 2026
last heard 7 Aug
Creon Butler’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 2 in all, peaking in Aug 2026 with 1.
Appearances
to do this.
So the the questions we're looking at and have looked at is, you know, what lessons can you take from that experience to the way you would want to regulate the digital economy, either at the national level or ideally at the global level through coordination?
Uh definitely not.
I mean I think the first thing is there isn't just one race.
There are many races involved in in the application of AI.
You don't necessarily need to be the one who produces the state-of-the-art frontier models.
It could be about how you apply it in particular sectors.
You know, as James has said, you know, China is already showing that there are more or less expensive ways of developing your AI capabilities.
An awful lot of the the hundreds of billions
That Alex has described may well be wasted.
I think there there are, however, key things that the government will need to think through, one of which is the regulatory structure, as we've described.
How do you kind of preserve the space that you need, both to ensure that there's competition within your market to tax the outputs from the digital economy and so on?
I think the other thing is, and this is whether it's it may not be a problem for the Burnham government, but it is a kind of change in.
approach for the UK economy, which is the importance of state investments in key emerging companies and technologies.
I mean one example which we may want to look at is if you look at uh TSMC in Taiwan, which is now an enormously important producer of microchips, that actually started through state investments by the Taiwanese government several decades ago.
Specifically with the purpose of establishing a kind of strategic industry.
Now, the UK has enormous capabilities.
We have a tendency to allow them to be, you know, purchased by other companies.
We've seen, for example, in the case of DeepMind that, you know, that initially was perhaps developed in the UK.
Maybe now it's that expertise is shifting to the US.
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