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AI and automation are hollowing out the core of IT work. Tasks that once required years of expertise, like writing code, running tests, or debugging, are now being handed over to machines.

This isn’t just an incremental shift—it’s a complete restructuring of how work is done. The so-called “automation of expertise” has real consequences. When AI bots can handle everything from routine testing to more complex debugging, the demand for human developers shrinks. Workers are becoming dependent on tools that simultaneously reduce the value of their skills. This isn’t hypothetical; it’s happening across industries, from finance to e-commerce, and software engineering is no exception. [1] [2]

For example, platforms like GitHub Copilot or OpenAI Codex are already writing lines of code for developers. Initially, this sounds like a win—greater efficiency. But long term, it erodes the need for experienced coders. The human input becomes more about overseeing machines, not creating solutions themselves. This is the same dynamic that industrial workers experienced during the rise of mechanization: their expertise got reduced to machine maintenance, not craftsmanship.

Gig Economy and Outsourcing: Race to the Bottom

The rise of the gig economy has turned IT workers, particularly freelancers, into digital assembly-line workers. Outsourcing has worsened this dynamic. Large corporations, particularly in the West, can now hire from a global pool, driving down wages and imposing precarious working conditions on developers in lower-cost regions, like India and Eastern Europe​ [3]​

SpringerLink. These freelancers are hired on short-term contracts with little to no job security. Their wages are driven down by the sheer competition in the global market. Just like factory laborers, they’re stuck in a system where their labor is commodified—churn out code at low prices or be replaced.

Freelance platforms like Upwork and Fiverr may offer exposure, but they’ve created a system where workers must compete against machines and other freelancers across the globe, resulting in a “race to the bottom.” Workers are forced to offer their services cheaper and faster to stay relevant​

SpringerLink. These platforms, while enabling more people to work remotely, ultimately treat technical expertise as a low-cost, replaceable commodity.

Skill Erosion and AI Dependency: A Dangerous Loop

Freelancers are now trapped in a dependency loop. AI tools help them work faster and remain competitive, but those very tools are the same ones that make their jobs less secure. Take AI-driven platforms that automate software development tasks: freelancers using these tools may increase their productivity, but they also contribute to a system that makes human labor less critical.

For instance, freelancers often use AI to optimize bids on platforms, analyze client requirements, or even draft basic code. Over time, however, these tasks are being outsourced to AI directly. This results in further commodification of their skills. Ironically, in trying to stay competitive, freelancers are accelerating the very processes that are making their skills obsolete​ [4]​ [5].

In fields like digital marketing and content creation, the same trend is visible. AI-generated content is gradually replacing the need for human content creators, with AI-driven algorithms now crafting articles, blog posts, and social media campaigns​ [6]​.

Tech Startups: the same cycle is happening in software development: AI bots are taking over more significant portions of the development pipeline.

Examples from Other Fields:

This isn’t just an IT issue. The manufacturing industry went through similar upheavals during the Industrial Revolution. As machines replaced skilled artisans, workers lost control over their labor. Today, automation and AI are reshaping creative industries, logistics, and even law, with automation tools displacing tasks previously reserved for humans.

In logistics, self-driving trucks and automated warehouses reduce the need for human workers in a manner similar to AI’s effect on IT work. In law, AI tools can now sift through vast amounts of legal data and generate legal documents, potentially replacing entry-level positions in legal research​ [7].

Conclusion:

The IT workforce is following the same proletarian path as traditional labor. AI, automation, and the gig economy are reshaping the role of developers, turning once highly-skilled positions into precarious, low-control work. Unless there’s a significant restructuring in how tech labor is valued, we’ll continue seeing increased reliance on automation at the cost of human skills. It’s a feedback loop where workers feed the very system that’s undermining their livelihood.