The AI Panic is a Distraction – It’s About Control, Not Robots
Are we genuinely facing a future where artificial intelligence renders vast swaths of the workforce obsolete, ushering in a post-work utopia? Or are we, once again, caught in a cycle of technological hype, conveniently obscuring the same old power dynamics at play? The real story here isn't AI replacing us – it's about who controls the benefits of increased productivity, and how that control is shaping the future of work, often in ways that reinforce existing inequalities. The breathless predictions from figures like Elon Musk and Sam Altman about a complete economic overhaul feel less like forecasting and more like a self-serving narrative designed to inflate valuations and deflect scrutiny.
Drawn from jacobin.com.
The current obsession with AI’s disruptive potential conveniently ignores a crucial historical pattern. As Vivek Chibber pointed out in a recent discussion on the Jacobin Radio podcast Confronting Capitalism, we’ve been here before. Every major technological shift – from the spinning jenny to the electric drill, from computers to the internet – has been met with similar anxieties about mass unemployment. Yet, history demonstrates a remarkable resilience in the labor market. Jobs are displaced, but they aren’t simply erased. The question isn’t whether AI will change work, but how those changes will be distributed.
Chibber frames automation as falling into two categories: complete worker replacement, like the 19th-century spinner rendered obsolete by mechanized looms, or tool replacement, like the technician using an electric drill. The latter, he argues, is far more common. AI, at its current stage, largely falls into the latter category – augmenting existing jobs rather than eliminating them wholesale. The initial impact isn’t a radical restructuring of the economy, but a deepening of trends already set in motion by decades of computerization. This isn’t to say AI is insignificant, but its revolutionary potential is often overstated. As Chibber notes, “what we’ve seen so far…the labor market effects…have been very, very small.”
The core issue isn’t the technology itself, but the underlying economic system. Capitalism, by its very nature, prioritizes profit. Technological advancements are implemented not to ease the burden of labor, but to maximize efficiency and, ultimately, increase profits for capital. This isn’t a conspiracy; it’s a logical consequence of the system’s incentives. As Chibber explains, capitalists aren’t motivated by worker well-being, but by the need to “beat out your competitor.” This drive leads to a relentless pursuit of productivity gains, often at the expense of worker autonomy and job security. The introduction of ATMs, for example, didn’t eliminate bank tellers, but transformed their role, shifting them from transactional clerks to customer service representatives – a change driven by increased bank profitability, not a genuine concern for employee satisfaction.
This dynamic has been exacerbated since the 1970s, a period marked by the decline of labor unions and the rise of globalization. The weakening of collective bargaining power allowed capital to capture a larger share of the productivity gains, leading to stagnant wages despite increasing output. This decoupling of productivity and wages is a critical factor in understanding the current anxieties surrounding AI. It’s not just the fear of losing a job, but the fear of losing economic security in a system that increasingly favors those at the top. The promise of AI-driven abundance rings hollow when the benefits are concentrated in the hands of a few.
The current wave of AI hype also obscures a crucial point: much of its current utility lies in consumer applications – meme generation, improved search results, and the like. While these applications are impressive, they don’t represent a fundamental shift in the economic landscape. The real power of AI, if it’s to be realized, lies in its potential as a “general-purpose technology,” like electricity or computers, capable of impacting a wide range of industries. However, even in this scenario, the outcome isn’t predetermined. As Chibber argues, the key is to ensure that the benefits of increased productivity are shared broadly, rather than accruing solely to capital.
This requires a fundamental shift in our approach to economic policy. Robust unemployment insurance, ambitious retraining programs, and a strengthened welfare state are essential to mitigate the negative consequences of job displacement. But more importantly, it requires a re-evaluation of our priorities. The goal shouldn’t be simply to maximize economic growth, but to create a society where everyone has access to a decent standard of living, regardless of their employment status. This means challenging the prevailing narrative that equates work with worth and embracing the possibility of a future where human flourishing is prioritized over endless accumulation.
The next five years will be critical. Watch for a surge in AI-driven surveillance technologies in the workplace, ostensibly designed to improve efficiency but ultimately aimed at increasing control over labor. Pay attention to how companies frame the narrative around AI-related job losses – will they emphasize retraining and social safety nets, or will they simply blame workers for failing to adapt? And most importantly, look for signs of a resurgence in labor organizing, a renewed effort to reclaim the benefits of technological progress for the working class. Because if we don’t actively shape the future of AI, it will inevitably be shaped by those who stand to profit the most – and that’s a future most of us can’t afford.
