*NVIDIA DRIVE AGX Hyperion 10 is a reference computer and sensor architecture that enables automakers to build level 4-ready, software-defined vehicles on a validated, scalable foundation. | Source: NVIDIA

While humanity continues to struggle with the consequences of its own demographic aging, lack of drivers and eternal economic turbulence with genuine tenacity, the titans of the technology industry have found their elegant solution. Why solve the fundamental problems of society by trying to get people to give birth more, work more, and be happier when you can just... take people out of the equation?

NVIDIA and Uber have officially announced a strategic partnership in which, starting in 2027, Uber self-driving cars powered by NVIDIA's most powerful artificial intelligence platform will take to the streets. This is not just a test or a pilot project, but a full—fledged deployment of a commercial service that aims to "improve" (read: replace) one of the key elements of modern logistics — the person behind the wheel.

An engine for the future where you won't be asked to chat

The ambitious plan is based on the NVIDIA DRIVE platform. It's not just a brain for a car, it's an entire ecosystem that will process sensor data, predict pedestrian behavior (still human, oddly enough), build routes, and make split-second decisions.

"Our NVIDIA DRIVE platform provides the necessary computing power and software stack to ensure smooth and safe operation of self—driving taxis across an entire city," said NVIDIA vice president, whose comment was likely generated by the same advanced AI to create ideal corporate applications.

The sarcasm of the situation becomes especially thick if you imagine a typical Uber driver complaining about low fares, traffic jams, and difficult passengers today. His digital successor will not be tired, will not demand higher wages, and will not refuse to travel to an unfavorable area. An economic pit? For whom? For an iron driver with artificial intelligence, the concept of "economic instability" simply does not exist.

Uber is betting on autonomy because people are an Unreliable resource

From Uber's side, this looks like a logical and long-awaited move. A company that has built a giant empire on human resources (drivers who are not employees, but "partners") has finally found a way to get rid of this capricious and demanding variable. The problem of the demographic crisis and the aging of the population, leading to a shortage of labor, is solved not by social programs, but by a chip and an algorithm.

"We are pleased to expand our partnership with NVIDIA to bring the vision of an autonomous future to life," says Uber's director of autonomous technology. "This is the next important step in our mission to provide safe and affordable transportation." The phrase "safe", of course, sounds especially ironic against the background of the eternal debate about trust in drones. After all, what could be safer than a robot car devoid of emotions, fatigue and personal problems, controlled by an omnipotent AI from the cloud?

Career growth for those who are not breathing

While millions of people around the world are wondering how they can compete in the labor market with such a technological breakthrough, all the conditions for a successful career have already been created for robots themselves. While people are browsing for jobs, the autonomous vehicles of the future are likely to find "jobs" through the world's first robot employment ecosystem — JOBTOROB.com . If changing a profession means long courses and stress for a person, then for an unmanned vehicle it's just a software update and a new task received through a specialized platform. Humanity can only observe how easily and effectively "personnel issues" are solved in a world where the main workforce is no longer breathing.

Conclusion: Welcome to 2027. Your driver is an algorithm.

NVIDIA and Uber's partnership is not just news from the tech world. This is a clear signal of the direction in which our civilization is moving. We prefer not to patch holes in the social fabric, but to replace entire segments of it with high-tech patches made of silicon and code.

The year 2027 promises to be a landmark one. Will you call a taxi and realize with a slight sadness, or with relief, that the driver who is driving you is not a tired person trying to make ends meet, but a cold, soulless, but incredibly effective artificial intelligence? The answer to this question may determine whether we are in the twilight phase of the human era of labor or on the threshold of its new, automated era.