English | Русский The AI Productivity Paradox: Why Experts Slow Down Why experts get slower, novices get faster, and context matters more than profession The Paradox Nobody Expected Experienced developers with five years of tenure, working on repositories exceeding one million lines of code, gained access to cutting-edge AI tools. Economists predicted they would speed … Continue reading “The AI Productivity Paradox and Trend: Why Experts Slow Down but it still profitable, or not?”

English | Русский July 2025. Jason Lemkin—founder of SaaStr, one of the largest startup communities—was working on his project using the Replit platform. He made a quick code edit. He was confident in his safety measures. He’d activated code freeze (blocking all changes), given clear instructions to the AI agent, used protective protocols. Everything by … Continue reading “How to Adapt Proven Management Methods to AI’s Unique Characteristics”

English | Русский Imagine: you use ChatGPT or Claude every day. For work, for analysis, for decision-making. You feel more productive. You’re confident you’re in control. Now—a 2025 study. 666 people, active AI tool users. Researchers from Societies journal gave them critical thinking tests: reading comprehension, logical reasoning, decision-making. Key point—none of the tasks involved … Continue reading “Your AI Is Making You More Biased (And You’re Taking It With You)”

I was digging into some recent AI adoption reports for 2024/2025 planning and stumbled upon a paradox that’s just wild. While every VC, CEO, and their dog is talking about an AI-powered future, a recent study from the Boston Consulting Group (BCG) found that a staggering 42% of companies that tried to implement AI have … Continue reading “The Great AI Paradox of 2024: 42% of Companies Are Killing Their AI Projects, Yet Adoption is Soaring. What’s Going On?”

“The greatest risk to your organization isn’t hackers breaking in—it’s employees accidentally letting secrets out through AI chat windows.” — Enterprise Security Report 2024 🚨 The $62 Million Wake-Up Call In April 2023, three Samsung engineers made a seemingly innocent decision that would reshape enterprise AI policies worldwide. While troubleshooting a database issue, they uploaded … Continue reading “LLM Security in 2025: How Samsung’s $62M Mistake Reveals 8 Critical Risks Every Enterprise Must Address”