-
This article continues the discussion I started in my previous piece, The Consequences of the Mass Adoption of AI and Robotics for the Average Person, where I looked at how AI and automation could change the economic value of human labor. Here, I want to focus on the next question: if large numbers of people…
-
If we set aside the promotional optimism of technology companies and apocalyptic fantasies, I see the main risk of the near future not in the idea that “AI will destroy humanity,” but in the fact that it may very quickly change the economic value of the average person.
-
Today, it may seem that software development is going through something similar to what happened to web publishing after content management systems appeared. AI can already write code, find bugs, build interfaces, connect APIs, and accomplish in a few hours what would have taken a team of developers days or even weeks only a few…
-
AI in software development uses large language models, machine learning, and autonomous coding agents across the software development life cycle (SDLC): planning, coding, testing, deployment, and maintenance. Teams using AI coding assistants commonly report 30–50% faster initial implementation, though measured results vary widely. The gains concentrate in code generation, test creation, and documentation. Architecture and…
-
A Chinese court has issued a ruling that could become an important precedent for the global labor and technology markets. The court found unlawful the dismissal of an employee that the company had justified by the implementation of artificial intelligence systems and automation. In effect, this is one of the first high-profile cases in which…
-
More often, we are getting requests from people who have actually built their SaaS system with AI. Sometimes it’s lovable; other times, it’s a Copilot like Claude. The usual request from this type of client is to stabilize the system, because it is neither scalable nor are users leaving because of too many issues that…
-
Global supply chains have become too complex to manage with dashboards alone. Every shipment generates a stream of signals—GPS coordinates, traffic updates, warehouse capacity alerts, customer requests, weather disruptions. Logistics teams monitor these signals through control tower systems, yet the real challenge is not visibility. It is the ability to interpret this constant flow of…
-
Just yesterday the market was confidently repeating a mantra: “AI will eat juniors first.” The logic seemed airtight—if an algorithm writes code, answers tickets, and sorts data faster and cheaper, why keep beginners on the payroll? Especially in an era of optimization, layoffs, and margin-driven KPIs.
-
Humanoid robots are marching across our feeds again. China shows factories staffed by chrome-faced workers who never blink, never sleep, never join unions. Startups in the US and Europe film glossy demos, and the public reacts with a familiar mix of excitement and panic: “This is it. This is how the machines take over.”
-
Everyone spent years waiting for a Hollywood-style AI apocalypse with killer robots, glowing red eyes, and metal dogs sprinting across smoky ruins. Instead, the real AI apocalypse arrived quietly, politely, and without any dramatic soundtrack.
