Futures of Work ~ Posts

From rates to risk: How machine learning can reveal the workers official statistics cannot see

By Luis D. Torres

Issue 36 // 8th July 2026

Linked data and machine learning can shift labour market analysis from retrospectively measuring unemployment to proactively identifying workers at risk, provided these tools are governed ethically and combined with qualitative research. Read more of the article

Artificial Intelligence in Higher Education: the ‘Friend Yet Foe’ Paradox

By Christopher Pesterfield and Xiaoting Luo

Issue 35 // 20th April 2026

Students use AI as both a helpful tool and a questionable shortcut, valuing its efficiency while risking the erosion of critical skills they need for future work. Read more of the article

Implications of AI for the Future of Work for people with Serious Mental Illness

By Kendall Atterbury

Issue 29 // 16th October 2024

People with serious mental illnesses (SMI) face unemployment rates of 75-85% and rely on inadequate benefits. Kendall Atterbury argues that as automation reduces job opportunities, stigma against those with psychiatric disabilities increases, highlighting the need to address the structural barriers they face in employment. Read more of the article