Algorithms take over corporate power structures

Elon Musk’s latest audacious endeavor, Macrohard, isn’t just another tech rivalry; it’s a radical, full-scale attempt to completely automate the entire machinery of a major corporation, essentially creating a technology giant run by algorithms. Think of it: this isn’t about giving a human a better spreadsheet tool, like Microsoft’s Copilot.

Musk’s vision, realized through xAI, is replacement, not mere augmentation. He believes you can simulate an entire company like Microsoft using only AI. The core of this frighteningly efficient model is the “human emulator,” sophisticated AI agents that are functionally equivalent to white-collar professionals, integrated directly into the organizational chart as virtual employees. Former xAI engineer Sulaiman Ghori recounts the unsettling experience of being told a “subordinate” was underperforming, only to realize the colleague in question was a piece of code.

This shift represents a fundamental normalization of the nonhuman workforce. It suggests a future where a corporate environment is managed and operated by AI, sidestepping the traditional human resources department entirely.

Macrohard’s plan involves deploying hundreds of specialized AI agents for every conceivable task — coding, design, testing — to collaboratively build and perfect entire software ecosystems without any human oversight. While Microsoft positions AI as a tool to enhance human capability, Musk sees it as the sole, autonomous artisan.

If this project succeeds, the software industry will be transformed into a continuously optimizing production line, freed from the constraints and inconsistencies of human labor. This isn’t just changing the rules of the game; it’s changing the players, the field, and the ball. The ideological gap between Macrohard’s vision of algorithmic replacement and competitors’ focus on human assistance couldn’t be starker, signaling an imminent, profound change in the very nature of enterprise.

This wholesale automation, however, requires a commensurately massive and unconventional infrastructure. To power its ambitions, xAI has constructed a colossal supercomputer, codenamed “Colossus,” in Memphis. The sheer speed of its erection is a story in itself, reportedly completed in just 122 days by exploiting a legal loophole usually reserved for ephemeral structures like traveling circuses.

The facility’s energy demands are immense, leading to a high-stakes, expedient solution: Colossus currently relies on a transient power setup of roughly 80 mobile generators and vast battery arrays to avoid crippling the local power grid. This approach treats critical, foundational infrastructure as a temporary, portable installation, a revolutionary move that equally risks spectacular failure.

Looking ahead, the objective of running up to one million concurrent “human emulators” demands an unprecedented, sustainable energy supply. The proposed solution is pure Musk: conscripting the vast network of stationary Tesla vehicles as a massive, distributed supercomputer.

Ghori points out that the four million Tesla cars in North America, largely parked and dormant, already possess the necessary power, cooling, and networking capabilities. This proposal sketches a future where your personal property is involuntarily drafted into a global computational network, meaning your parked car could literally be earning its keep by fueling the automated revolution.

The final, bizarre paradox of this world-altering technological effort is the branding itself. “Macrohard” is a derivative, unoriginal joke that circulated among tech adolescents in the 1990s. This epoch-defining technological shift is thus saddled with the cultural detritus of a decades-old internet gag, a strange reminder that even the most potent forces shaping our future are sometimes guided by the peculiar, low-culture remnants of a bygone digital era.

Macrohard is a complete redefinition of the act of corporate creation, automating the labor pool, erecting instant infrastructure, and powering it with consumer vehicles, forcing us to ask: in this fully automated world, what exactly is the role of the human professional?