We conducted a large-scale study: 52 models, evaluations from two independent LLM judges, across 8 categories of management tasks. This is the most comprehensive Russian-language AI ranking for managers available today.
The question remains the same: which AI actually works for a manager in Russia – without VPN, without workarounds?
Read more
A Gallup and Walton Family Foundation survey (2024–2025, representative sample of US teachers) produced an impressive number: teachers who regularly use AI save an average of 5.9 hours per week – the equivalent of six full work weeks per school year. Sounds like a solved problem.
But a parallel Royal Society of Chemistry survey (2024, UK) paints a different picture: 44% of teachers tried AI, yet only 3% reported a real reduction in workload. A maths teacher from Ireland explained the gap more precisely than any statistic: “AI generates worksheets quickly, but they need thorough checking – and the time savings turn out smaller than expected.”
Who is right? We previously examined the AI crisis in education from the student side – 86% of students use AI, yet critical thinking is declining. Now – the instructor side. Over the past two years, enough experimental data has accumulated to answer this question with numbers, not opinions.
Thousands of managers google “what is AI in simple terms” every day – not because they aren’t smart enough, but because textbook explanations are useless for making real decisions. The problem isn’t the complexity of the topic. The problem is that most explanations were written by engineers for engineers.
Let’s cut through the jargon and formulas – and focus on what a manager actually needs to know.
By March 2026, the generative AI market has dozens of tools. Every vendor claims to be the leader, and marketing materials compete in loudness. How does a manager choose a tool that actually solves real problems?
On February 5, we wrapped up four weeks of OpenClaw hype, reaching a conclusion that seemed obvious at the time: the tool works for personal tasks, but corporate adoption is virtually nonexistent. A month has passed. OpenClaw has surpassed React in GitHub stars, reaching 265,000 versus 228,000 for the most popular JavaScript framework in history – and that is only the beginning of what has changed.
Imagine you’re choosing a company car for your team. One dealer says: “Our car is the fastest.” Another: “We have the best fuel economy.” A third: “We lead in safety.” They’re all right – but each is measuring something different. Without understanding what exactly is being measured and how, you can’t compare the options objectively.
While managers pay for ChatGPT Plus and Claude Pro, Alibaba has quietly built one of the most powerful — and free — AI ecosystems in the world. Qwen (pronounced “chwen”, from 通义千问 – “A Thousand Questions”) had, by March 2026, surpassed all Western competitors in download counts and become a tool every manager should know — especially if cost or data control has ever been on the agenda.
A year and a half ago, I wrote a note on my personal blog about something I was noticing in my colleagues’ work and in my own: the more you trust AI, the less often you ask yourself “is this actually right?” I was drawing on a Microsoft study at the time – it showed that trust in AI suppresses critical evaluation of the answers it produces. The argument felt strong to me, but it had an obvious flaw: correlation, not causation.
In February 2026, Anthropic researchers Judy Shen and Alex Tamkin published an experiment that closed that gap. Randomized control. Concrete data. And a conclusion that, I think, most people who’ve read about it have misunderstood.
Because this isn’t a story about AI making us dumber. It’s a story about how exactly we use it.
DeepSeek is a Chinese AI startup that has become one of the industry’s leading players in just two years. In April 2026 DeepSeek released V4 – a generation of models that competes with GPT-5.4 and Claude Opus 4.6 on quality while costing 10–50 times less.
GigaChat is a generative AI model from Sber – Russia’s largest bank and technology conglomerate (comparable to a combination of Chase, Google, and Amazon in the Russian market). GigaChat is built specifically for Russian-language audiences and trained on Russian data, with deep understanding of cultural context, slang, and the nuances of the Russian language. It works without a VPN from Russia and CIS countries.