Knowledge Brief

Color Tag
#009051

Platforms Disrupting Reputation: Precarity and Recognition Struggles in the Remote Gig Economy

This article draws on 70 interviews in addition to participant observations to highlight the role of gig economy platforms in producing a novel form of reputational insecurity. This insecurity is generated by platforms disrupting the traditional operation of industry reputation in freelance markets.

Dynamics of contention in the gig economy: Rage against the platform, customer or state?

Protest in the gig economy has taken many forms and targets (platforms, customers and state officials). However, researchers are yet to adequately account for this diversity. This study uses a European survey of Upwork and PeoplePerHour platform workers to investigate worker orientation towards different forms of protest.

Breaking barriers to youth engagement in aquatic food systems

This strategic brief shows aquatic food systems have the potential to provide livelihood opportunities for youth but challenges remain for them to join the sector. Multisector initiatives to improve access to training and finance as well as promote digital innovation can improve the participation of youth in fisheries, aquaculture and associated value chains. 

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

In this MIT study conducted with Boston Consulting Group, a global management consulting firm, researchers examine the performance implications of AI on realistic, complex, and knowledge-intensive tasks.

AI and Services-Led Growth: Evidence from Indian Job Advert

This paper documents near-exponential growth in the demand for artificial intelligence (AI)-related skills in India’s services sector since 2016, using a new dataset of online vacancies from its largest jobs website. It evaluates the impact of demand for AI skills on establishment-level non-AI postings in the short term using an event study, and medium term using a shiftshare design that exploits variation in exposure to new AI inventions.