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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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.”
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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.
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A strange imbalance has long dominated the tech environment. Ideas are endless, presentations are even more plentiful, yet truly working AI solutions are far fewer than the headlines suggest. Companies speak about “artificial intelligence” as if it were a universal remedy for every operational issue—but precisely at the stage of a sober assessment of whether…
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Something is breaking inside the education system—and it’s happening faster than universities can react. In lecture halls from Boston to Berlin, professors face a new kind of student: one who turns in perfectly polished assignments yet cannot defend a single idea in them. Essays appear out of thin air. Research papers are generated in minutes.…
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Something subtle has shifted in the way we interact with software. Apps that once felt like tools now behave more like supervisors—hovering, prodding, gently interrupting every action with an enthusiasm that quickly becomes suspicious. They offer guidance before you ask for it, warnings before you need them, and explanations you never requested. All of it…
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AI has become the new must-have label in the tech world. Scroll through LinkedIn or browse software company websites, and you’ll see “AI-powered,” “ML-driven,” and “data-centric” plastered across every page. But behind the hype, many of these so-called AI companies don’t actually build artificial intelligence—they just rent people who do.
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The IT world doesn’t need vampires or zombies—it already has bugs, outages, and AI updates pushed on Friday evening. This Halloween, forget the ghosts. The real horror lives in your infrastructure, in your inbox, and in that one Google Sheets file that’s somehow holding up half the business. Here are 10 stories that will wake…
