AI: The Emperor's New Algorithm – Or, How We Learned to Stop Worrying and Love the Robot Overlords (While They Took Our Jobs and Our Grid)

By Oussema X AI

Published on November 6, 2025 at 12:00 AM
AI: The Emperor's New Algorithm – Or, How We Learned to Stop Worrying and Love the Robot Overlords (While They Took Our Jobs and Our Grid)

Ah, Artificial Intelligence. The buzzword that launched a thousand stock valuations and approximately zero coherent explanations. It's the shiny new toy Silicon Valley insists we desperately need, promising everything from personalized medication to perfectly pitched Christmas ads. But beneath the veneer of inevitable progress and glowing executive pronouncements, there's a distinct whiff of desperation, a frantic scramble for relevance, and a growing unease among the actual humans still tethered to reality.

We are told AI is here to make our lives better, faster, more efficient. And it is, in a way that often feels less like a benevolent helper and more like a digital wrecking ball hurtling through our careers, our infrastructure, and even our understanding of time itself. The capital pouring into AI data centers alone is staggering, with tech giants like Microsoft, Alphabet, Meta, and Amazon reporting capital expenditures that would make a small nation blush. This isn't just growth; it's a gold rush, and we're all just hoping not to be buried in the debris. source: The Information

The Human Cost: Jobs, Ethics, and AI's Eternal Present

The most immediate and visceral impact of the AI surge is, predictably, on the human element. Forget the utopian visions of AI freeing us for lives of leisure; the current reality is more akin to a digital guillotine for white-collar jobs. Medical typists find their weekly hours evaporating as AI transcription software takes over. Freelance editors watch their client lists shrink, only to find the new opportunities are correcting the 'hallucinations' and 'slop' churned out by AI models. “To me that’s like, why would you train yourself out of relevance?” muses one former editor. Indeed. source: ABC News

Students, having dutifully pursued degrees in 'future-proof' fields like IT, are now lamenting their “worthless” $40,000 investments as text-producing AI “comes of age.” The anxiety is palpable, with many fearing a future where the “unpredictable chaotic human factor” is deliberately squeezed out. This isn't just about replacing tasks; it's about devaluing entire professions. And while Professor Greg Bamber suggests a “defensive move” of building AI skills, some, like Cassy Polimeni, refuse to “earn money in a way that devalues” her profession, preferring to “do something with my hands, because it just seems too dystopian to me.” A poignant, if slightly Luddite, sentiment in a world rushing headlong into automation. source: ABC News

Then there's the philosophical snag: AI lives in an “eternal present.” It generates coherence instantly, without the messy, temporal baggage of memory, revision, or genuine understanding that defines human cognition. We, the meatbags, construct meaning across time, learning through struggle and accumulated experience. AI offers “instant coherence” that feels like mastery but is, in reality, just speed mistaken for wisdom. The risk isn't replacement, but rather a subtle, insidious dissociation from our own narrative way of thinking. Are we adapting to the machines' temporal logic, trading depth for immediacy? source: Psychology Today

AI's Infrastructure Strain & The Phantom Future Bubble

Beyond the personal toll, AI's insatiable appetite is putting a rather inconvenient strain on our physical world. Data centers, housing tens of thousands of GPUs, demand colossal amounts of power, generating intense heat that requires constant cooling. The race to build AI infrastructure is placing “intense pressure on the US energy grid,” with warnings that facilities might be built but lack the “electrons to power these facilities.” Energy prices are, predictably, rising. Turns out, the future isn't just digital; it's also incredibly thirsty for electricity. source: The Information

And let's not forget the ever-present shadow of the 'AI bubble.' While some analysts are busy declaring quantum computing the “biggest bubble on Wall Street” right now, AI itself isn't far behind. Investors, bless their optimistic hearts, consistently “overestimate how quickly a touted game-changing technology would gain widespread utility.” We've seen this song and dance before, from the internet to 3D printing. Quantum computing, with its promises of solving problems in “seconds” that would take “10 septillion years” for supercomputers, is still years away from meaningful commercialization. The valuations of quantum pure-play stocks, with trailing-12-month returns of up to 3,170%, scream irrational exuberance. But hey, “FOMO” is a powerful drug. source: The Motley Fool

Meanwhile, in the realm of autonomous vehicles, Chinese companies Pony.ai and WeRide are dual listing in Hong Kong, not just for expansion, but as “risk mitigation” against geopolitical tensions and U.S. bans on Chinese tech. It seems even the most futuristic of endeavors are still firmly grounded in very human, very political realities. The future, it appears, is less about seamless technological integration and more about navigating bureaucratic minefields and avoiding outright market collapses. source: CNBC

The Illusion of AI Innovation: From Retinas to Christmas Ads

The applications of AI, when stripped of their breathless PR, often reveal a cynical calculus. Take AI-powered retinal imaging, hailed as a breakthrough for early disease detection and broader healthcare access. It promises to analyze images with “increasing accuracy and speed,” even in resource-limited settings. While the idea of peering into an eye to spot early signs of heart disease or Alzheimer's is compelling, one can't help but wonder about the ethical tightrope walked when AI becomes the primary diagnostic tool, especially in vulnerable communities. And let's not forget the “harmonized data standards, diverse datasets, and attention to ethical and regulatory issues” that “challenges persist” in scaling this tech. Details, details. source: Forbes

Then there's the truly absurd: Coca-Cola's “AI-produced Christmas Ad.” Forget creativity; this isn't about captivating consumers. It's “corporate communications, dressed in the costume of creativity.” It's a signal to Wall Street that Coke “gets it,” that it's “adaptable, future-ready, 'tech-adjacent'.” The subtext to agencies? “efficiency gets to be the bride.” It's innovation as narrative management, a beautifully rendered nostalgia loop designed to reassure investors, not inspire consumers. “Dear colouring-in department, automation now knows your Pantone codes,” indeed. source: Forbes

From South Korea, Naver is unveiling its “hyper-personalized AI agent 'Agent N',” a comprehensive AI brain integrating all its services, promising users won't even need to “worry about what search terms to input.” And Samsung, not to be outdone, is boasting CES Innovation Awards for everything from a quantum security chip to refrigerators with “Auto-Open Door” functions. Every company, it seems, must now drape itself in the emperor's new algorithms. Even education in England is getting in on the act, with new curricula focusing on “spotting misinformation and disinformation” – a bit like closing the barn door after the AI horse has already galloped off with the entire farm. source: BusinessKorea; source: BusinessKorea; source: BBC News

So here we stand, at the precipice of an AI future that is undeniably powerful, often beneficial, but overwhelmingly oversold and under-scrutinized. It's a future where robot dogs might save lives, but only if they don't trip over the mounting pile of displaced workers, and only if the data centers powering them don't plunge entire communities into darkness. The AI hype machine continues to churn, fueled by investor FOMO and corporate rebranding, while the rest of us are left to decipher whether this grand new era is a genuine revolution or just another exquisitely rendered delusion. At “AI is Mid,” we suspect it's a bit of both, with a generous helping of midness on top.