Tag Archives: Readings

The technology cycle and Walmart

Apparently, Walmart needs its workforce to have cellphones.

An announcement by the company stating that about 750k employees in the US will be given $500 Samsung phones for free by year’s end was reported widely this week. Walmart’s US workforce in 2017 was 1.5m, so if there have not been dramatic changes in this figure, the policy would cover about half of the chain’s employees. Since Walmart is one of the largest employers in the country, this initiative is bound to be one of, if not the largest of its kind. Also, given the significant proportion of low-wage jobs in the company’s workforce, the benefit is a considerable one.

The company indicated it has taken this step in order to transition away from the dedicated handheld devices its associates previously used in their stores. The result is a hybrid arrangement. Employees get the device, case, and protection plan for free (they still presumably are on the hook for their own voice & data plan), but they

will only be able to use work features on the new Me@Walmart while on the clock.

Although it would be fair to assume that the use of cellphones for personal matters is already discouraged (or prohibited altogether) for Walmart employees on the clock, this policy nudges them toward an equilibrium (use of an employer-gifted device as one’s primary cell phone) where such behavior becomes technically impossible.

As for non-work-related use, Walmart

promised that it would not have access to any employee’s personal data and [they] can “use the smartphone as their own personal device if they want, with all the features and privacy they’re used to”

which has a bit of an ominous ring, for those who consider the overall landscape of surveillance capitalism, cellphones’ key role within it, and the importance of habituation for the smooth functioning of the system.

Of course, Walmart’s convergence to an Amazon-style micro-management-by-app of its employees’ physical movement through its warehouses is the big story, driving the program. However, it is interesting to note a few concurrent dynamics. On the one hand, in the span of one generation cellphones have followed the whole arc of the technology/political economy cycle, from luxury fashion items for conspicuous consumption to basic infrastructure indispensable for working-class jobs. In situations of economic crisis, falling purchasing power, and widening wealth differentials, it can prove economically advantageous for employers to provide them outright as a fringe benefit. On the other hand, the intertwining of the private and the public, work-life and down-time in contemporary America has decisively affected how people access the Internet. This fact was made apparent to white-collar employees working remotely during the pandemic, but as always the most extreme and direct consequences will be experienced by those most directly exposed to market forces and least able to bargain over employment conditions.

Bridle’s vision

Belatedly finished reading James Bridle’s book New Dark Age: Technology and the End of the Future (Verso, 2018). As the title suggests, the text is systemically pessimist about the effect of new technologies on the sustainability of human wellbeing. Although the overall structure of the argument is at times clouded over by sudden twists in narrative and the sheer variety of anecdotes, there are many hidden gems. I very much enjoyed the idea, borrowed from Timothy Morton, of a hyperobject:

a thing that surrounds us, envelops and entangles us, but that is literally too big to see in its entirety. Mostly, we perceive hyperobjects through their influence on other things […] Because they are so close and yet so hard to see, they defy our ability to describe them rationally, and to master or overcome them in any traditional sense. Climate change is a hyperobject, but so is nuclear radiation, evolution, and the internet.

One of the main characteristics of hyperobjects is that we only ever perceive their imprints on other things, and thus to model the hyperobject requires vast amounts of computation. It can only be appreciated at the network level, made sensible through vast distributed systems of sensors, exabytes of data and computation, performed in time as well as space. Scientific record keeping thus becomes a form of extrasensory perception: a networked, communal, time-travelling knowledge making. (73)

Bridle has some thought-provoking ideas about possible responses to the dehumanizing forces of automation and algorithmic sorting, as well. Particularly captivating was his description of Gary Kasparov’s reaction to defeat at the hands of AI Deep Blue in 1997: the grandmaster proposed ‘Advanced Chess’ tournaments, pitting pairs of human and computer players, since such a pairing is superior to both human and machine players on their own. This type of ‘centaur strategy’ is not simply a winning one: it may, Bridle suggests, hold ethical insights on patways of human adaptation to an era of ubiquitous computation.

Bessemer blues

The recent, decisive defeat of the unionization drive in Amazon’s fulfillment facility of Bessemer, Alabama can be understood to teach many lessons, not necessarily mutually complementary. First of all, specifically local conditions were in play, which can call into question the overall strategy of attempting to start the U.S. unionization of Amazon from the Deep South. The outcome, however, can equally be read as a sign that, in the current crisis economy, workers are prepared to put up with more or less any employer practices and work conditions whatsoever in order not to jeopardize their employment status, especially for jobs with efficiency wages. It can, alternatively, be seen as confirmation that giant tech companies, for all their claims to discontinuity and disruption, have mastered the traditional playbook of pugilistic industrial relations developed by old-economy businesses in the past fifty years. It can be interpreted as a statement that the progressive electoral coalition that swept the Democratic Party back into power at the federal level between November and January has not effected a sea-change in public opinion with regard to labor rights and representation. It can further be considered, in conjunction with the easy passage of Prop. 22 in California last Fall, as evidence that there is scant public belief that the ills of the soft underbelly of the tech economy can be righted by means of twentieth-century policy solutions.

Whatever the lessons learned, the unavoidable conclusion is that, in the United States at least, the power of Big Tech will not be reined in by organized labor alone (despite the fact that industrial militancy in the Amazon workforce continues, in less conventional and institutionalized ways). Nonetheless, recent media attention focused on Amazon workplace practices has created a series of PR embarrassments for the company: it remains to be seen whether they will ultimately cement a certain organizational reputation, and if such a reputation in turn can have regulatory or, especially, financial implications down the line (as has recently been the case in other jurisdictions).

Routinization of influence, exacerbation of outrageousness

How is the influencer ecosystem evolving? Opposing forces are in play.

On the one hand, a NYT story describes symptoms of consolidation in the large-organic-online-following-to-brand-ambassadorship pathway. As influencing becomes a day job that is inserted in a stable fashion in the consumer-brand/advertising nexus, the type of informal, supposedly unmediated communication over social media becomes quickly unwieldy for business negotiations: at scale, professional intermediaries are necessary to manage transactions between the holders of social media capital/cred and the business interests wishing to leverage it. A rather more disenchanted and normalized workaday image of influencer life thereby emerges.

On the other hand, a Vulture profile of an influencer whose personal magnetism is matched only by her ability to offend (warning: NSFW) signals that normalization may ultimately be self-defeating. The intense and disturbing personal trajectory of Trisha Paytas suggests that the taming of internet celebrity for commercial purposes is by definition a neverending Sisyphean endeavor, for the currency involved is authenticity, whose seal of approval lies outside market transactions. The biggest crowds on the internet are still drawn by titillation of outrage, although their enactors may not thereby be suited to sell much of anything, except themselves.

Perspectives on data activism: Aventine secessions and sabotage

Interesting article in the MIT Tech Review (via /.) detailing research performed at Northwestern University (paper on ArXiv) on how potentially to leverage the power of collective action in order to counter pervasive data collection strategies by internet companies. Three such methods are discussed: data strikes (refusal to use data-invasive services), data poisoning (providing false and misleading data), and conscious data contribution (to privacy-respecting competitors).

Conscious data contribution and data strikes are relatively straightforward Aventine secessions, but depend decisively on the availability of alternative services (or the acceptability of degraded performance for the mobilized users on less-than-perfect substitutes).

The effectiveness of data poisoning, on the other hand, turns on the type of surveillance one is trying to stifle (as I have argued in I labirinti). If material efficacy is at stake, it can be decisive (e.g., faulty info can make a terrorist manhunt fail). Unsurprisingly, this type of strategic disinformation has featured in the plot of many works of fiction, both featuring and not featuring AIs. But if what’s at stake is the perception of efficacy, data poisoning is only an effective counterstrategy inasmuch as it destroys the legitimacy of the decisions made on the basis of the collected data (at what point, for instance, do advertisers stop working with Google because its database is irrevocably compromised?). In some cases of AI/ML adoption, in which the offloading of responsibility and the containment of costs are the foremost goals, there already is very broad tolerance for bias (i.e., faulty training data).

Hence in general the fix is not exclusively technical: political mobilization must be activated to cash in on the contradictions these data activism interventions bring to light.