Will AI Really Take Our Jobs?
ABC News
ENRICHED
Details
- Date Published
- 6 Aug 2026
- Priority Score
- 2
- Australian
- Yes
- Created
- 6 Aug 2026, 12:01 pm
Description
The first computer revolution was supposed to bring mass unemployment but didn't. Is this time really different?
Summary
This analysis explores the economic implications of AI automation, highlighting recent Australian research that suggests AI will transform task structures across most industries without necessarily causing mass unemployment. While the discussion primarily addresses labor market displacement rather than existential risk, it references urgent calls from Nobel laureates for global governance to manage the disruptive economic power of frontier AI. The research featured, specifically from Victoria University and the Department of Employment and Workplace Relations, provides a localized framework for Australian policymakers to evaluate the socio-economic stability risks posed by rapid AI integration.
Body
The first computer revolution was supposed to bring mass unemployment but didn't. Now new Australian research suggests AI will transform almost every job but eliminate surprisingly few. So is history repeating itself, or is this time really different?Guests: Janine Dixon - Director of the Centre of Policy Studies at Victoria UniversityJoshua Gans - Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at Rotman School of Management, University of TorontoReferred to:“We Must Act Now”: Sixteen Nobel Laureates Join Leading Economists and AI Researchers in Call to Prepare for AI’s Economic Transformation, Stanford Digital Economy Lab, July 13, 2026Occupations, Tasks and Generative AI: A Computable General Equilibrium Analysis, James Lennox and Janine Dixon, Working Paper No. G-367, May 2026, Centre for Policy StudiesAI and employment in Australia, Department of Employment and Workplace Relations, June 2026Replaceable but Employed: Automation and the Meaning of Work, Joahua Gans, NBER, July 27 2026Power and Prediction: The Disruptive Economics of Artificial Intelligence, Ajay Agrawal, Joshua Gans, Avi Goldfarb, 2022Prediction Machines: The Simple Economics of Artificial Intelligence, Ajay Agrawal, Joshua Gans, Avi Goldfarb, 2018, updated 2022CreditsPeter Martin, PresenterProgram:More from The Economy, StupidAI, Employment Services