The Tech Reckoning: Who shapes the next economy? with Thomas Lingard

Chapter notes

00:00 - From Sustainability to Tech Governance: Thomas’s strategic shift

How a background in IT,  climate policy and corporate advocacy led Thomas to the realisation that misinformation, platform power and AI governance  now shape society as profoundly as climate change.

04:30 - Governing Technology at Exponential Speed

The acceleration gap, policy lag, and how siloed conversations across tech, sustainability and geopolitics create systemic vulnerability.

 

09:20 - Four Futures for AI: Concentration, Slowdowns, Arms Race and Diplomacy

A walk-through of plausible AI trajectories - from big-tech concentration to global cooperation - and what each means for societal agency.

 

14:40 - The Near Term Risks: Inequality, Information Disorder , and Power Asymmetry

Why the biggest near-term risks sit in economic structures, information disorder and the reinforcement of global power asymmetries.

 

20:10 - Leadership Mindsets: Agency, Imagination and the “One-Way Door” Problem

How can leaders resist tech-determinism, recognise irreversible choices, and build the necessary institutional imagination and organisational capacity.

 

26:3 - Europe’s Choice and the Path to a Positive Tech Future

Europe’s chance to combine values, safety and innovation - with lessons from Taiwan and other governance experiments that show alternative futures are possible.

 

Key quote

“Leadership in this space needs to include a capacity for imagination - the humility to accept we don’t know what the future will be, and the courage not to give in to deterministic narratives.” - Thomas Lingard

Key takeaways

• AI’s trajectory is not inevitable: The future of AI isn’t fixed - and treating it as inevitable is itself dangerous. Leaders need the mindset and imagination to challenge “it’s just going to happen” narratives.
• Governance capacity is not the critical gap: AI is advancing faster than our institutions, policies and public understanding. Leaders must invest in the skills, insight and oversight needed to make informed decisions in an environment of rapid technological change.
• Concentration of power is the real near-term risk: Before any long-term speculation, AI is already deepening inequality, reinforcing information disorder and centralising control in a small number of companies.
• Europe can lead by aligning innovation with values: Europe’s advantage lies in combining innovation with strong public-purpose governance. Europe can shape a model that protects democratic agency while enabling technological capability - but only if it chooses to design for that future.