Стас ЮрасовAI Eng
9 November 2026, 09:26
2026-11-09
Why are programmers becoming meat proxies and losing their jobs en masse? We analyze the topic using the Microsoft case
Is artificial intelligence really to blame for mass layoffs at global tech giants, or is it just a convenient cover for optimizing costs after Covid rehiring? Why are servers, data centers, and electricity becoming more valuable and expensive than people today? In the 20th anniversary episode of the podcast "The AI Show," we analyze the harsh reality of the labor market, business processes, and the future of professions.
Is artificial intelligence really to blame for mass layoffs at global tech giants, or is it just a convenient cover for optimizing costs after Covid rehiring? Why are servers, data centers, and electricity becoming more valuable and expensive than people today? In the 20th anniversary episode of the podcast "The AI Show," we analyze the harsh reality of the labor market, business processes, and the future of professions.
The hosts analyze in detail the case of the voluntary redundancy offer (buyout) for 60 thousand Microsoft employees and find out what is really happening behind the scenes of big tech. Are fears about the destruction of the programming profession justified, how the role of the engineer is changing, and why the dominance of generated content ("AI Workslop") is turning specialists into mindless "meat proxies", causing irritation among management?
The special guest of the issue is Andriy Bilous, founder of the consulting company StayInno.ai. Based on a large-scale survey of over 200 Ukrainian companies, Andriy reveals the real state of AI implementation in Ukrainian business:
Why claims about "70% of companies using AI" are a myth that is limited to writing banal prompts in ChatGPT.
What is the "productivity paradox": an employee completes an 8-hour task in two hours, but the business’s revenue does not increase as a result.
Why do companies' attempts to create their own corporate chatbots often end in failure and the emergence of "shadow AI" at the expense of their employees?
What is needed for system integration: working with chaos in databases, RAG technologies, and end-to-end audit of business processes.
Should businesses panic about data security and what challenges await management in the next 5–7 years?
In the final section "AI Practice", Oleksiy Minakov shows behind the scenes of his viral project, which collects hundreds of thousands of views on social networks. A step-by-step master class: how to revive Taras Shevchenko, Lesya Ukrainka, or Ivan Franko in a matter of minutes and with a minimal budget using generative tools, why this does not devalue the classics, but breaks Soviet stereotypes, and how such formats open a new era of cheap content marketing.
The sponsor of the release is the cloud technology service Ucloud .
The following are participating in the release:
Alexey Minakov is an AI apologist, a consultant on the implementation of generative AI for business.
Serhiy Kolesnichenko — AI realist, CEO of UCloud.
Stas Yurasov is a journalist, CEO of the publication dev.ua.
Andriy Bilous is the founder and CEO of the consulting agency StayInno.ai.
Write in the comments who you see yourself in the future — an operator of a team of AI agents or someone they will replace? Subscribe to the channel, turn on the bell, and share the release with your colleagues!
00:00 — Release teaser: from "midproxy" to replacing people with artificial intelligence
01:25 — Introduction to the presenters and the topic of the issue: what is happening to the labor market
02:10 — Sponsorship integration
02:44 — 60 thousand to leave: is Microsoft really laying off people because of AI?
04:24 — Buyout of employees instead of layoffs: legal subtleties and real scale
06:02 — From co-pilots to autopilots: which units are being optimized
07:31 — The data center paradox: when iron and energy become more expensive than people
10:34 — Routine work is going away: why people will still stay in processes
12:18 — Situation in Ukraine: will big tech cuts affect domestic IT?
14:18 — Transformation of the developer profession: from language knowledge to pure engineering
16:51 — “AI Workslop” and “midproxy”: why templated content is starting to annoy managers
19:04 — Forecast for 2027: restructuring of business processes and price dumping
22:00 — Is disruption of leaders possible and where is the global market heading?
24:00 — Positions of Ukrainian IT in exports and the physical infrastructure factor
28:18 — A human at the head of a team of AI agents: how the role of a leader is transforming
30:26 — Limitations of LLM: statistics instead of predicting the future
33:55 — The emergence of the HAR role: Human and Agents Resources
36:00 — Guest of the issue — Andriy Bilous (StayInno.ai): realities of implementing AI in Ukrainian business
37:18 — The illusion of use: why one prompt in ChatGPT is not system integration
39:08 — The productivity paradox: employees work faster, but companies' revenue does not grow
42:48 — Analogy with the computer revolution: why real ROI takes years
46:43 — From basic training to end-to-end business process auditing
50:29 — Automation practice: an example of RPA and optimization without magic
52:26 — “Shi-ization” instead of digitalization: how to analyze startups and technologies in advance
54:16 — Business Headache: Why Companies Are Afraid to Organize Their Own Knowledge Bases
57:57 — Shadow AI and the limitations of homemade corporate chatbots
1:01:25 — When do you need ready-made APIs and when is it time to connect RAG?
1:04:16 — Predictions for the coming years: chaotic calendars, layoff planning, and AI hype
1:09:48 — Data Security: Fear of Leaks vs. Real Incidents
1:13:07 — “AI Practice” section: how to create viral videos with millions of views
1:16:46 — Practical analysis of the tool: turning classics into trend heroes in a minute
1:20:18 — The economics of viral content: $12 cost and hundreds of thousands of reach
1:25:00 — Episode recap: How to stay afloat in the era of the AI revolution
Як нейромережі бачать вільну та незалежну Україну? Тест dev.ua
Нейронні мережі для генерації зображень бачать світ по-своєму, їхню логіку зрозуміти часом зовсім неможливо. Але таки хочеться. На честь Дня Незалежності України редакція dev.ua вирішила провести невеликий експеримент.
Ми задали чотирьом різним нейронним мережам п’ять однакових запитів: «прапор України», «День Незалежності України», «український Крим», «перемога України» та «українці». Отриманими результатами ми ділимося з вами нижче.
У TikTok тепер можна генерувати фон за допомогою нейромережі. Ми протестували її та ділимося результатами
У TikTok з’явилася нова функція «Розумний фон». З її допомогою як фон для тіктоків можна підставляти згенеровані нейромережею зображення. Редакція dev.ua протестувала цю технологію і ділиться своїми враженнями.