Mykhailo Sheludko is a Ukrainian marketing analyst, writer, and researcher. He works at LaSoft, a software development company, where he shapes the firm’s marketing strategy, analytics, and content direction—especially in fields like AI & ML, Transport and Logistics, MarTech, AgriTech, and Telecom.
He has 10+ years of experience in marketing, with a background in journalism and public relations, and actively produces blog articles, strategic audits, ad campaigns, and visual content for LaSoft and other digital projects.
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Software sustainability is often discussed in terms of energy consumption, data-center efficiency, cloud infrastructure, and the growing computational cost of AI. All of these issues matter, but they tend to overshadow a more basic question: how much unnecessary software turnover is created by the way modern applications are designed, distributed, updated, and eventually abandoned.
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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…
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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.
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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…
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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…
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Most SaaS products do not fail because of poor marketing execution, weak ad campaigns, or ineffective content strategies. They fail much earlier, at a stage that is rarely recognized as marketing at all.
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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…
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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.
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If robots are coming for work, elder care is where they’ll arrive first—not because it’s glamorous, but because no one else is left.
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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.”
