RE:TABULA
The first Russian-language resource systematically tracking the displacement of professions by neural networks. We monitor layoffs, AI implementations and the transformation of the labour market in the age of artificial intelligence — across Russia, the CIS, Europe and beyond.
What we track
Documented cases of workforce reductions driven by AI — verified against primary sources, tagged by industry, country and status.
A database of AI deployments across industries — from language models and computer vision to autonomous agents and robotic systems.
Automation risk scores for hundreds of professions, aggregated from Oxford, McKinsey, WEF, Anthropic, IMF and Amodei research.
Aggregated displacement and implementation data across economic sectors — see which industries are deepest in the adoption curve.
National AI strategies, key players and regulatory approaches — covering 60+ countries across all regions.
A structured map of intellectual disagreements about AI and the future of work. Real quotes, verified sources, reader voting.
Charts and data on layoff trends, implementation pace, geographical distribution and automation risk by sector.
Court cases, regulatory disputes and legislation shaping the legal boundaries of AI in the workplace worldwide.
Methodology
Every case in our database is verified against primary sources: official company statements, regulatory filings, court documents and credible media reports. We distinguish between confirmed events (Protocol), announced intentions (Intention) and active implementations without immediate job cuts.
In addition to manual research and editorial curation, the project uses large language models — Claude (Anthropic), Perplexity and DeepSeek — to assist with data processing, source analysis and content drafting. All AI-assisted content is reviewed and verified by human editors before publication.