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Tech/AI

Technology & AI

AI Adoption
12% vs 27% US
Tech Investment
Below US/China
AI Safety
Leading globally
45%Current
Potential: 80%

Key Problems

  • 1.AI adoption rate lags US significantly
  • 2.Skills gap limits tech deployment
  • 3.Public sector digitisation slow
  • 4.Compute access limited for startups

Solutions

  • 1.No AI-specific regulation burden
  • 2.Public sector AI mandate
  • 3.Open government data for AI
  • 4.Fast-track AI talent immigration

Analysis

Root Causes

1

AI adoption rate lags US significantly

2

Skills gap limits tech deployment

3

Public sector digitisation slow

4

Compute access limited for startups

Reform Pathway

1

No AI-specific regulation burden

2

Public sector AI mandate

3

Open government data for AI

4

Fast-track AI talent immigration

Cascade Effects

Reforms in Technology & AI will have downstream effects on 5 connected domains:

Policy Costings

Rigorous fiscal analysis of Technology & AI reforms

View All Costings →
CONTESTED ESTIMATE
Significant methodological disputes. View caveats below.
Tech/AI

Tech Ai Regulatory Holiday

Upfront
+£200m
Annual
-£500m
Revenue
+£8.0bn
Net Annual Effect
+£7.5bn/year
Payback in 2 years
GDP +2.5%Productivity +0.8%very high uncertainty
UNCERTAINTY RANGE (Annual Net Effect)
Most Pessimistic
-£5.0bn
Most Optimistic
+£25.0bn
MAJOR CAVEATS
  • AI safety concerns real but often conflated with bias/fairness concerns that are more contested
  • Brussels Effect limited: EU AI Act primarily affects EU-deployed systems, not global development
  • UK already lighter-touch than EU - question is whether to go further toward US approach
  • Compute and talent are genuine constraints: £14bn infrastructure plan addresses compute, talent needs visa reform
  • "Bad actors" argument proves too much - applies to all technology, not specific to AI
  • Skills shortage is binding constraint but can be addressed in parallel with regulatory approach
  • Track record: UK tech sector successful precisely where regulation is lightest (fintech, gaming)
3 sources