At the Institute for the Future, Gorbis is convinced that assets are a critical determinant of an individual’s resources, especially with the rise of the gig economy where many don’t have access to benefits like health insurance and retirement savings. “When you look at data, a lot of inequality is deeper than income — it’s also about debt,” she says, adding, “for poor people, housing is the main asset.” That’s why Gorbis suggests UBA should start with access to housing, but also include access to public resources like transit. If you can take public transit, you don’t need to own a car, she says. When basic assets were first discussed, the crowning jewel was land — upon which the Homestead Act was based. Then, all eyes turned to jobs as the ultimate means of security. Today, Gorbis says, we should begin to look at data. Access to data — the internet, online education and resources — significantly affects socioeconomic status.

For many of the homeless people I’ve met in both London and Paris, home was connected to a place they departed from and have a desire to return to – a place that carried what the English sociologist Liz Kenyon calls a right to return and a sense of one’s origin. Sara Ahmed’s 1999 study of migrants’ writing, particularly Asian women living in Britain, supports this view of home as something in the longer-term future. The British-Australian scholar wrote that home is often a destination, somewhere to travel to: ‘the space which is most like home, which is most comfortable and familiar, is not the space of inhabitance – I am here – but the very space in which one finds the self as almost, but not quite, at home. In such a space, the subject has a destination, an itinerary, indeed a future, but in having such as destination, has not yet arrived.’ Home is, in this sense, not about the present – and surely not a place of passive suffering – but about one’s hopes, about making home an imagined place where one has not yet arrived.

Home is exactly such a process, involving the material and the imaginative, social connections and mundane acts. Routines, habits and rhythms – often as simple as regularly visiting certain neighbourhoods, shelters and food kitchens – are important parts of this process, and are deeply connected to a temporal as well as spatial order. This focus on order is best expressed in the classical analysis of home by the English anthropologist Mary Douglas:[Home] is always a localisable idea. Home is located in space but it is not necessarily a fixed space. It does not need bricks and mortar, it can be a wagon, a caravan, a board, or a tent. It need not be a large space, but space there must be, for home starts by bringing some space under control.

François, who introduced me to the labour of begging, found something close to home in his daily practices. His home was fashioned by coming face to face with the city around him. These narratives show how far removed these people are from a state of passive suffering. Yes, there were moments of idleness and, for some, long phases of pain. But most of the people I met sleeping rough – independent of age, gender, tenure on the street and level of addiction – were striving, in their way, towards a better life: first on, and hopefully off, the street.

AI jobs are much more likely to be unfilled after 60 days compared to the typical job on Indeed, which is only unfilled a quarter of the time. As the demand for AI talent continues to grow faster than the supply, there is no indication this hiring cycle will become quicker anytime soon.

One thing we know for certain is that it is very expensive to attract AI talent, given that starting salaries for entry-level talent exceed $300,000. A good bet is that the companies that invest in AI are the ones with healthy enough profit margins that they can afford it.

Lynch, the University of Connecticut philosophy professor, also believes that one of our best hopes comes from the bottom up, in the form of actually educating people about the products that they spend so much time using. We should know and be aware of how these companies work, how they track our behavior, and how they make recommendations to us based on our behavior and that of others. Essentially, we need to understand the fundamental difference between our behavior IRL and in the digital sphere—a difference that, despite the erosion of boundaries, still stands."Whether we know it or not, the connections that we make on the Internet are being used to cultivate an identity for us—an identity that is then sold to us afterward," Lynch says. "Google tells you what questions to ask, and then it gives you the answers to those questions."

“All the artificial intelligence is built on human labor,” Mr. Liang said.

“We’re the assembly lines 10 years ago,” said Mr. Yi, the co-founder of the data factory in Henan.