The Tech Industry: An Autopsy

The tech Industry, and the fields that grew from it, are dead.

 The Industry, which, as Yasha Levine details in his book, ‘Surveillance Valley’, was always a tool of oppression, and never ‘good’, in some children’s book sense.

But for a time, during the not so longue duree when the consumer and ‘enterprise’ markets expanded, starting in the 1980s and reaching a peak in the early 2000s, many of us carved careers from the material Oracle, Microsoft, Cisco and others created.

Capitalist elites hate workers and despise worker expertise. I don’t have a scientifc study to prove this (if one exists, let me know) but I do have decades of experience, sitting in rooms with (mostly) men who, it was easy to see, hated that a wage servant possessed technical expertise they needed, but were too lazy, arrogant or stupid to grasp.

During the not so long duree when ‘enterprise IT’ assumed its place as capitalism’s command and control layer, business elites dreamed of a world free of worker expertise but carrying on, like the machine haunted houses in Ray Bradbury’s story ‘There Will Come Soft Rains’, automated and bereft of humanity (yet somehow profitable).

The ‘AI’ scourge, is more than a propaganda campaign, it has mutated (as all things do) into a sort of religion. Unsurprisingly, considering the combination of capitalist mania, resurrected eugenics, and hatred for workers that spins, like a molten core, at its center, the scourge is relentless, deforming everything it touches.

Today, it is nearly impossible to propose a technical solution without having to endure the utterances of ‘decision makers’ who don’t know what they’re talking about, insisting that somehow, ‘AI’ will make it better. This isn’t merely enthusiasm, or delusion, it’s the expression of a sinister hope (nurtured by the tech industry in its late stage decrepitude): ‘soon, we won’t need you troublesome peasants.’

A vain endeavour.  Like all desperately quixoutic pursuits, this only leads to madness as a stubborn reality refuses to play along. The feedback loop between goals, requirements, engineering and design is breaking, thought is discarded as one supposed answer, ‘AI’ is held aloft, a golden idol.

 

…

In the final sequence of the 1982 released film, Koyaanisqatsi, the explosion of an Atlas Centaur rocket, launched in 1962, is shown in vivid color.

After a fireball blossoms, then dissipates, the camera’s eye (footage from military observation) focuses on the descent, back towards the ground, of an engine fragment. At times, fuel remnants ignite as if the engine is struggling to resume its task, sending a spacecraft into orbit. The metaphor, though beautifully presented, is a bit on the nose: you believed you were flying high, but nature is indifferent, your fall is inevitable.

…

So it is with the US tech industry which, for years (but not as long as it seems) has been roaring skyward. In its quest to destroy labor, it is, supreme irony, destroying itself.

It is dead. All that remains are engine fragments, spouting flame from fuel remains, as they crash to earth.

More Clown than Vulcan


The ancients, who looked to various gods and spirits to guide and punish them or, exact vengeance on their enemies and enforce balance enjoyed a higher quality mythological catalogue than the current set.

Zeus, Huītzilōpōchtli and the notables of countless pantheons, whatever their storied faults, were better entities to think of as being, in at least some sense, real, than modern, deified concepts such as the sober, data driven business person, a figure as mythological as anything depicted on canvas, via marble or on the wall of a cave by dim torchlight but far less nourishing.

A word comes to mind: savvy, followed by a phrase, situational awareness. These are lacking in the modern capitalist who, even when judged by the narrow, profit fixated limits of business, shows little sign of possessing either.

Particularly when it comes to the carnival that is so called ‘AI’.

The promise, from Microsoft, OpenAI and their co-conspirators was that, by surrendering business processes to ‘AI’ workers could be eliminated, thus boosting profits. The tech press, a cheerleading squad about which it’s hard to say a kind word (there are exceptions but their rare appearance only illustrates the problem’s scope) broadcast this yarn, shouting about labour in sectors from fast food to law being replaced by chatbots.


In Greek mythology, the goddess Nemesis ensured retribution for offences against the gods; an enforcement of consequences. Nature cannot be fooled; consequences always arrive and often, precisely as people who pay attention, who are savvy and possess situational awareness, predicted. It doesn’t take special insight to know that stepping into traffic isn’t a good idea, you just have to know how the world works (the not at all theoretical physics of metal, travelling at high speed, impacting your soft body). It should not have come as a surprise to business types that the ‘AI’ they looked to as a means for enhancing their bottom line was, in fact, built by the ‘AI’ vendors for exactly the same purpose.


At some point, well, from the start, really, it should have been obvious, that introductory prices for access to ChatGPT, Claude, GitHub Copilot etc would be replaced by real pricing. Microsoft has bills to pay (data centers aren’t cheap) and profit targets too. It should have been obvious that once you were dependent, the manageable price would disappear, ‘like tears in rain’, replaced by bills that inspired weeping.


A dispatch from Nemesis in the form of a recent CNBC article: ‘Tokens or humans? The new corporate trade-off’

From the article…


The root of the squeeze is that the technology works but doesn’t yet pay for itself.

“The way AI works today, it’s very powerful, but it’s very inefficient,” Jain said. “The value that AI drives at this point is trailing the cost that businesses are incurring.”

A big part of the problem is inefficiency in picking models. Roughly 95% of enterprise AI usage is still running on the most expensive frontier models, even for tasks that could be handled by cheaper alternatives, Jain said.


Thus spoke Arvind Jain, CEO of Glean, an ‘AI’ company. Jain is trying to sell a product whose utility is now being questioned so of course, he presents the problem as being that ‘AI’ is very, very good but too expensive or, you’re doing it wrong. But even for Jain, it’s difficult to edulcorate (a marvellous word, which I learned about recently, that means to sweeten) a souring situation. To say ‘it’s powerful but inefficient’ is akin to declaring a car to be very fast but unable to get you to the store.


In other words: useless.


I started this brief essay by talking about mythologies: sublime and stupid, ancient and modern. In the case of the 21st century business class, who depict themselves as grim faced gods, staring deeply into luminous screens, they are more clown than Vulcan, prat-falling rather than thinking, chasing after a world without workers and buying magic beans in the hope that world will arrive.

Nemesis is calling.