AI will become a competitive necessity for many business sectors, and like previous automation technologies, will fundamentally transform the nature of work and organisational models. As with any technological deployment, people and process are two other key considerations to deliver organisational benefit. However the implications of AI for the labour force may be bleak.
My project is focused on the implications of AI on the evolution of the future workforce, in particular investigating the skills and competencies that will be required in a workplace with a business model enabled by AI. Organisations should have a social responsibility to ensure their workforce is trained appropriately and government policies should adapt to mitigate the potential social and economic consequences of increased unemployment and inequality.
Doctoral Recognition Award Winner 2022
The social and economic impact of AI technologies on the workforce.
I have worked in the global telecoms environment for the last 30 years in both operator and vendor environments. My roles have been at a senior management level covering strategy, technology, operations, transformation and financial domains. I have led teams and activities in strategic analysis, network design, new technology introduction, operational planning, outsourcing, business case development, financial planning, process development/improvement and cost improvement.
MSc Data Science & Analytics (Royal Holloway University of London)
MBA (Henley Management College)
BSc Electrical & Electronic Engineering (University of Leeds)
Prof Hugh Lauder
Prof Linda Newnes