By 2030, the World Economic Forum projects that AI and automation could create 170 million new jobs globally while displacing 92 million existing ones - a net gain, though one the WEF is careful to note won't be evenly distributed. It's a fitting backdrop for a conversation asking what organisations are actually doing to prepare for it.
Richard Brown is joined by Chris Barber, Chief Executive of Lhasa Limited, and Philip White, Founder and Managing Director of Audacia, to talk through how AI is changing organisations and the work people do within them. Between a scientific research charity and a technology consultancy, the conversation covers how success with AI is measured, what it means for change management and hiring, and how accountability works when AI starts operating with less human oversight.
The conversation ranges across measurement, culture, accountability and the geopolitics of sovereign AI.
In this episode
- Why you need a benchmark for success to measure value from AI
- How organisations change shape as AI absorbs entry-level work
- Hiring for soft skills and culture as technical skills flatten
- Accountability and guardrails for increasingly autonomous AI
- Sovereign AI, token costs and the global inequality of access
Speakers
Richard Brown
Richard Brown is the Technical Director at Audacia, where he is responsible for steering the technical direction of the company and maintaining standards across development and testing.
Chris Barber
Chris Barber is Chief Executive of Lhasa Limited, where he leads teams facilitating collaborative data-sharing projects in the pharmaceutical, cosmetics and chemistry industries.
Philip White
Founder and Managing Director of Audacia, with 28 years of experience in enterprise technology delivery.


