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Labour market disruption

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Labour market disruption
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Report

Click here for care: how the platform economy can impede high-quality childcare


Most of the media and policy attention on gig economy platforms has focused on companies such as Uber and Deliveroo, while those largely represented by women, such as cleaning and caring platforms, get little airtime. Despite the picture that a reference to the gig economy might conjure up, platform work is not just men on...
Report

Feeling the pinch


This report explores how Australian Service Union members working in clerical and administrative roles in the private sector are faring under these conditions. It provides insight into their wages and their satisfaction with their wages, their perceptions around their financial situation and the cost of living, their labour mobility decisions and some of the impacts...
Report

Jobs of tomorrow: the triple returns of social jobs in the economic recovery


As policy-makers aim to balance crisis management with longer-term recovery priorities, this paper suggests that three foundational social institutions – education, healthcare and care – may benefit from key investments to re-start the engine of social mobility across national economies.
Report

Learning and working in the digital age: advancing opportunities and identifying the risks


The rapid expansion of new technologies into every sector has contributed to the proliferation of alternative models of education, learning and skill signalling in global labour markets. This paper provides a high-level map of the landscape of education and labour market innovations in formal and informal education (including the workplace), with an emphasis on digital...
Working paper

Is the workforce ready for the jobs of the future? Data-informed skills and training foresight


Technological and social change alter the required skill composition of the workforce. For many newly emerging jobs, precise skill requirements are evolving and unclear. This paper reports on how data can enable useful foresight about skill requirements and training needs, even when that data has not been collected for this express purpose.