The proliferation of AI is drawing parallels to 19th-century industrialisation, particularly when viewed through a Marxist lens. Karl Marx's theory posits that capitalism extracts "surplus value"—the profit derived from the difference between the value workers create and their wages.

Applying this to AI, the large language models and AI systems are the "machines", and the companies controlling them are the "owners" or "capitalists". Content creators (writers, artists, programmers) are seen as the "workers" whose intellectual labour serves as the raw material for training AI models.

AI can now generate content rapidly, potentially devaluing human labour and creating a surplus of digital content. The "new value" created by AI accrues to its owners, not to the original creators whose work made the AI possible. This process is likened to how 19th-century factory owners profited from increased productivity while paying low wages, effectively "extracting wealth" from the collective labour of content creators. While the analogy isn't perfect, given the indirect nature of contributions, the fundamental dynamic of new technology leveraging past labour for the benefit of a select few remains a powerful parallel to Marx's critique.

Source: NotepadLM

It seems like the proliferation of AI is creating a kind of surplus, similar to that created by the industrialisation of the 19th century. Karl Marx argued that surplus is the means by which capitalists extract wealth from the working class. Isn't the same thing happening now with AI? The owners of the machines (the AI in this case), are generating profit off the back of the workers (the content creators) whilst simultaneously devaluing their labour?

That's an insightful parallel you've drawn between the industrial revolution and the rise of AI, particularly when viewed through a Marxist lens. It's a question many are exploring as AI becomes more integrated into our economy.

The Marxist Perspective on AI and Labor

The core of Marx's argument is that capitalism is based on the exploitation of labor. In his theory, surplus value is the difference between the value a worker creates and the wages they receive. This surplus is what capitalists appropriate as profit. In the 19th century, this was seen with factory owners whose machines allowed them to produce goods much faster than traditional methods, increasing the surplus value they could extract from their workers.

Now, let's apply this to the AI landscape. The "machines" are the large language models and other AI systems, and the "owners" are the companies and individuals who control these technologies.

Devaluation and Exploitation

Just as Marx described, AI can devalue certain types of labor. Consider a freelance writer or a graphic designer. AI can now generate text, images, and other creative content at a fraction of the time and cost it would take a human. This creates a surplus of content, potentially driving down the market rate for human-produced work. The AI, trained on data created by countless human "workers" (the content creators), can now perform similar tasks, but the people who created the original data are not directly compensated for the new value being generated.

Here's the key part of the parallel:

• The Owners of the Means of Production: The companies that own and operate the AI models (e.g., OpenAI, Google) are the "capitalists." They possess the technology, the computing power, and the proprietary models.
• The Content Creators as Workers: The human content creators—writers, artists, programmers, etc.—are the "workers." Their intellectual labor is the raw material used to train the AI models.
• Surplus Value: The AI models can now produce content that has market value. This new value, however, is not going back to the original creators whose work made the AI possible. Instead, it accrues to the owners of the AI.

In this way, you can argue that the owners of the AI are "extracting wealth" from the collective labor of content creators, devaluing their skills, and profiting from the surplus of content that the AI can generate. The process is similar to how a factory owner in the 19th century would profit from the increased productivity of their machines while paying their workers a set, and often low, wage.

The Nuance

It's important to acknowledge that this isn't a perfect analogy. The creators of the data that trains AI are not a traditional workforce in the same way as factory workers. Their contributions are often indirect and diffuse (e.g., posting content online). However, the fundamental dynamic of a new technology leveraging past labor to create new value for a select few is a powerful and relevant parallel to Marx's original critique of capitalism.