17
edits
Changes
few touch ups
fuck off Goldman Sachs!
from p.12
<blockquote>" t requires the ability to monitor and extract the maximum amount of value from resources under management, which entails perpetual surveillance coupled with nudging and other forms of producing de- sired behavior. Moreover, should monitoring capacity prove insufficient, it would be advan- tageous advantageous to have the means to produce statis- tics statistics so obscure and impenetrable that the operating entity—in this case, Goldman Sachs— can claim that it has in fact met its target and should be paid the amount due (as regularly happens in actual projects financed through social investment bonds). Surrendering control over such statistical and computation capabil- ities—an capabilities—an inevitable consequence of the privat- ized privatized smart city—is a sure way to be swindled by private service providers on a regular basis..
...The model’s obvious downside is chronic un- derinvestment underinvestment into long-term facilities and planning of the infrastructure in question, as investors adopting a short-term perspective are not motivated to undertake expensive in- frastructural infrastructural upgrades. This is only part of the problem, however, as investors also seek to ex- tract extract as much value from the asset under man- agement management in the short period of time they own it as possible, often degrading it much faster than a longer-term operator or owner would.
...Such models typically incentivize the operator to cut costs (e.g., by eliminating maintenance) and extract maximum rents (e.g., by charging users different rates depending on how much of the resource they consume or, say, their ability to pay). The ubiquity of “smart” and always-on sensory infrastructures allows investors to pursue both of these strategies at once: costs can be minimized and completely pushed onto users, while the ability to recognize the user and link any act of consumption with their entire life history facilitates a price that the user is unlikely to turn down. Thus, the proliferation of sensors, connectivity, and data analytics into the built environment is likely to entrench today’s highly financialized model of infrastructure provision.." </blockquote>
the Smart City is bait and sitchswitch
p. 15
<blockquote>"In practical terms, the appeal of quick technological fixes to city bureaucrats cannot be explained by their ideological confusion or technocratic faith alone, for there are actual structural factors which make the enlistment of technology firms in the business of running the city as well as generating income for some of its inhab- itants inhabitants such an attractive choice. Understanding these structural factors should, at the very least, make us aware that articulating and executing a vision for a truly non-neoliberal smart city is much more difficult than it first appears, for it is not merely a matter of building different technologies or alternative property regimes around data generated in the city. These are necessary, but not sufficient conditions....
There are two sides to this regime of privatized welfare: One draws on advanced technology to deliver significant savings to consumers, thus concealing their rapidly falling real incomes, while another draws on the same set of technologies to produce either short-term, extremely flexible (even if highly precarious) employment opportunities in the gig economy, or quick speculative gains in the sharing economy, most- ly by turning one’s house—should one be lucky enough to own one—into a permanent hotel that also doubles as an ATM. </blockquote>
