Publications: Ayesha Bhatti

The UK’s refusal to formally designate China as a national security threat has undermined its ability to prosecute espionage, leaving its technology and innovation sectors vulnerable to Chinese infiltration and economic coercion.

For the EIA to succeed, the Commission needs to address Europe’s broader economic policy environment. The EU’s reliance on the precautionary principle has entrenched a risk-first mindset that slows innovation and diverts resources away from competition and quality improvement.

As artificial intelligence upends the creative landscape, history offers a clear lesson: fighting change only delays progress, but those who adapt to it thrive. Creators must do the same with AI.

President Trump has rightly emphasized that AI should be allowed to learn like humans do, and unless the UK adopts a commonsense approach to AI training and copyright, it risks falling behind China in the global AI race.

The CMA should not regulate a nascent and rapidly evolving field like AI chatbots as an access point to search, where competition limits the potential for market power.

It is critical that, in tackling both these issues, the EU avoids engaging in digital protectionism, which would harm European competitiveness further.

The Center welcomes the European Commission’s ambition to accelerate the uptake of AI across the economy and public sector as part of its broader AI continent action plan.

The UK should reject misleading claims that AI training is theft and instead adopt a modern, permissive copyright framework that protects creativity while enabling the innovation needed to become a global AI leader.

ITIF offered comments on evidence the UK government should draw on; short- and long-term objectives for the UK-China relationship; areas to engage with China, and areas to draw red lines; how engagement could affect other alliances; and how to assess dependencies on China while strengthening security and resilience.

By prioritising the digitisation and availability of data that reflects this diversity, countries and communities stand a better chance of shaping AI in their own image, rather than submitting to someone else’s.