How can AI enhance - and perhaps disrupt - the landscape of foresight work in the years and decades ahead?

Will artificial intelligence bring an end to the traditional labour market? Fears of mass technological unemployment have a powerful impact on economical policies, but modern economic theory suggests that these fears might be misplaced.

E-work visas are reshaping how we work, live and travel. With many countries offering remote work visas and major tech companies developing virtual work software, the trend is now firmly in the mainstream.

In our article series, we zoom in on some specific areas and industries in the world that will emerge after the COVID-19 pandemic. This fourth instalment focuses on the pandemic’s impacts on Generation Z. The article is based on an analysis by Futures Platform, with insight from Jonah Stillman, the acclaimed Gen Z speaker and author, and Futures Platform’s Content Director Dr Tuomo Kuosa.

What do the futures of work look like? Jerome C. Glenn from the Millennium Project shares 3 alternative future of work scenarios in 2050. How well can we anticipate both the incremental and more rapid consequences of transformation?

Programming was considered in the 60s and 70s a "geek activity," today it has become one of the high-paying jobs. But programmers are no less susceptible than everyone else when it comes to losing their jobs. In this article, we ask the question, "will programmers still have a job in the future?”

You take off from home, get in your car, arrive at the company office, take the elevator, and sit at your desk. For most white-collar workers, that used to be a typical routine. You get your work done at your desk in the company's offices. But in the past couple of years there has been a growing trend toward co-shared office spaces. In this article, have a look at this trend.

In this article, we go through the future of work, through 4 prisms: industry and manufacturing; automation, AI, and robotics; business and value chains; and work and income.

With the arrival of 4th industrial revolution, automation and AI, the future of employment could look very different.

To ensure that opportunities are not overlooked and risks are identified it is essential to challenge our assumptions and beliefs regularly. It has become even more imperative as the economic, technological, political, environmental, and social landscapes, among others, around us continue to morph and change rapidly.

How can you identify reliable knowledge sources and trustworthy experts? What types of knowledge or information need to be memorised, learnt, comprehended, and mastered? How is reliable knowledge created, how should we access it, and what kind of knowledge should be saved?

Data and AI technologies are driving the development of our industries; and a demand for experts in STEM-related fields (Science, Technology, Engineering and Math), and wages paid in those jobs, are growing fast in many countries.