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This article was published in August 2023 on bluelabyrinths.com

In 2023 everything speaks AI. The AI gaze is present in every public discourse and the AI question is present in every interview. AI is the most powerful omnipresent acronym in today’s media and public narrative. There’s no need to watch or read the news daily to know that. A glance at your home screen would be enough to notice. Some of the apps you’ve been using for years have added that AI acronym to their name. Take your old browser or photo editor – in 2023 it’s not simply a browser or a photo editor but a browser with AI and a photo editor with AI. It looks like AI is the ‘surplus value’ of every technological-related and cultural commodity. Last year we learned about NFTs and this time a more powerful technological concept is present in our life. It speaks to the future, to the present and of course it speaks to our fears.

Whenever a new technological innovation emerges, especially if it tries to automate exclusive forms of human activity, fear quickly surfaces in the public sphere. This kind of fear, a mix between Frankenstein syndrome [1] and Leontief fear [2], is part of a paranoia platform that amplifies all forms of communication and interactions on this matter. Keeping in mind how things work in the publishing world, corporate media and the internet, the ghost of Frankenstein’s monster becomes the initiator of every public relation strategy in promoting the next technical innovation or the upcoming technological “revolution”. The correlation between technological innovation and fear in the public sphere has historical roots. The scope of this essay is to analyze the symptoms of this non-biological symbiosis rather than the causes of its formation. Its symptoms have surfaced all over the public sphere and especially in the working culture, systematically reproducing existential dilemmas on the role of AI in the working place.

Will AI take my job? 

The answer is written in capitalism.

The short answer is probably not, at least not in the short term. And this is mostly due to the nature of our economic system and not the technological capabilities of software to replace certain human skills. Most people are very conscious that in a few years their next taxi driver or their cashier won’t be a human (if this has not happened already). Various forms of automations for different kinds of jobs have already become part of our everyday life.

As Daniel Susskind emphasizes in his book, “A World without Work”, this is not the first time that people have worried about the so-called ‘technological unemployment’, a term that was first popularized by John Maynard Keynes. The latter being one of the most optimistic economists on this topic, taking into consideration names like Ricardo and Leontief. But why do most people fear automation and innovation? Isn’t technology in the working place something to be cheered and celebrated?

As we know, this is not the first time societies are dealing with technology in the working place and guess what, the structural response towards it might not keep up with your expectations. Susskind emphasizes the transformational role of technology in the economy in the past centuries is undisputed: Five hundred years ago, the economy was largely made up of farms; three hundred years ago, of factories; today, of offices [3].

Technological change has transformed the economy for decades and the historical narrative of this transformation isn’t always a narrative of exchange between humans and machines. He takes into consideration the unemployment rates in Britain from 1760-1900, a time of rapid technological change. According to Susskind, the harmful effects of the technological effect were only half of the story. Machines didn’t just substitute humans in certain tasks but they also complimented them on other tasks, raising the demand for people to do that work.

So even if some tasks may be automated, and the jobs will no longer be performed by people, the transformed economy from the technology will raise other tasks, not automated yet [6].

We also have to keep in mind that the labor market doesn’t always function for purely economical reasons. Labor has a dystopian history of its own, and a strong reason for unease. The vision of the 1920s, including that of Keynes, was that a future with more technology in the working place would mean less working hours. Well, we all know the outcome.

According to David Graeber, technology automated productive jobs, but noone was able to see the rise of bullshit administrative jobs. What are bullshit jobs? In his own words, Graeber defines bullshit jobs as a ‘meaningless or unnecessary wage labor which the worker is obliged to pretend to have a purpose’ [4].

If there ever was a response to automation, it has been far from economic and has crushed the myth that capitalism is always the most productive and efficient economic system that has ever been. The ruling class has understood the dangers of a ‘happy and productive population’ with free time on their hands (do you remember the 60s?) and the notion that work is a moral value works perfectly with their system of anger management in society: Yet it is the peculiar genius of our society that its rulers have figured out a way, as in the case of the fish-fryers, to ensure that rage is directed precisely against those who actually do get to do meaningful work. For instance, in our society, there seems to be a general rule that, the more obviously one’s work benefits other people, the less one is likely to be paid for it [4].

The fear persists

Instrumentalizing the public sphere through fear.

Even though exploring the economical context of a well-known phenomena like automation does not provide us with a valuable and imminent reason to worry about it, the fear narrative persists in the public sphere.

For months now on every screen in front of you, AI will appear constantly and repetitively, not being shy about reproducing the next idiosyncratic and sensational stories. The sparkle that lit this futurist public discourse was of course the emergence of ChatGPT early this year. OpenAI’s artificial intelligence chatbot took everyone by storm and the news machine hasn’t stopped since then. 

Each headline about AI is mind-blowing and the public relations machine is quickly planting seeds in the fertile environment of paranoia and misrepresentation. It needs just a quick Google search to realize it. The headlines are totally dystopian, fictional and quite unsettling, as if they were directly extracted from a science fiction movie, far from the standard boring syntax of the mainstream media. In fact, I can see them used as supers for the next AI apocalypse movie trailer. Headlines like Arstechnina’s Why AI detectors think the US Constitution was written by AI [5] or The Guardians’s Australian DishBrain team wins $600,000 grant to merge AI with human brain cells [6], are neither unusual nor hard to find.

The recent SAG-AFTRA strike further spiked stories on this subject, in a reality influenced by fiction and vice versa: Actors say Hollywood studios want their AI replicas — for free, forever [7] or The Black Mirror plot about AI that worries actors [8], are some of the thousands headlines you’ll encounter everywhere in the web.

This stream of absurdity, surrealism and megalomania constitutes a platform of enhancing fear,  misinformation and confusion. It generates the ground for instrumentalism. It generates the ground for public relations activities, speculations, working place structural changes to further advance business agendas and generate enormous profit. For example Mr. Musk, a name closely linked to the magic two-letter acronym, not long after he joined the call of various experts for a pause in the creation of an artificial intelligence mind, claiming that the world is not “safe”, announced his own plans to build a new AI company.

The average worker that sells his time for money is constantly living in fear of losing his job, a fear he is not benefiting from, but it is constantly fueled by the information he consumes in his everyday life. Even though examples like Uber or Amazon have established the idea that capitalism can now work without controlling the means of production, it is still a fact that in our economic system the means of production are controlled by the lucky few.

The working class, white or blue collar, doesn’t have any access, control or say in the way the means of production and any other technological invention is used or going to be used. In this setting, governmental interventions have to come up with clear regulations regarding possible mass unemployment, the use of non-human labor or profits from the use of technology in different business sectors.

The fear that a machine may take your job and quickly automate your human skills has roots in the history of industrial development, commercialization and cultural representations of technology. People have feared automation since the first day they realized that they can be replaced by a machine.

In a labor system like the one above, where the worker has no say in working conditions, in the morals behind it, in the technology used, in leisure time and the culture industry that consumes it, fear is an ambiguous feeling; it is rational and irrational at the same time. It is constantly reproduced from economic and cultural structures in our everyday life.

Society needs to act, governments need to act. Technology in the working place and cyberspace in general needs serious management and real regulations, new rules have to apply to the ones with the stick and the carrot.

References:

[1] Shelley, Mary (1818). Frankenstein: The 1818 Text, Penguin Classics.

[2] Leontief, Wassily & Duchin, Faye (1986). The Future Impact of Automation on Workers, Oxford University Press.

[3] Susskind, Daniel (2020). A World without Work, Metropolitan Books.

[4] Graeber, David (2013). On the Phenomenon of Bullshit Jobs, Atlas of Places.

[5] Edwards, Benj (2023). Why AI detectors think the US Constitution was written by AI, Ars Technica 

https://arstechnica.com/information-technology/2023/07/why-ai-detectors-think-the-us-constitution-was-written-by-ai/

[6] Shepherd Tory (2023). Australian DishBrain team wins $600,000 grant to merge AI with human brains cells

https://www.theguardian.com/technology/2023/jul/21/australian-dishbrain-team-wins-600000-grant-to-develop-ai-that-can-learn-throughout-its-lifetime

[7] The Verge Article (2023). The Actors say Hollywood studios want their AI replicas — for free, forever

https://theverge.com/2023/7/13/23794224/sag-aftra-actors-strike-ai-image-rights

[8] McCallum Shiona (2023) The Black Mirror plot about AI that worries actors, BBC

https://www.bbc.com/news/technology-66200334

Further references:

Graeber, David (2018). Bullshit Jobs, Simon & Schuster.

Hern, Alex (2023). Elon Musk Joins Call for Pause in Creation of Giant AI ‘Digital Minds’, The Guardian.

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This blog is my personal space for reflection, inquiry, and critique. I hope you find something that sparks thought and dialogue.