Czy AI zastąpi zawód: lastrykarz?

Lastrykarz roles face a 27/100 AI disruption score—classified as low risk. While administrative tasks like supply processing and record-keeping show automation vulnerability (39.31/100), the core terrazzo installation work remains distinctly human-dependent. Physical skill requirements for surface preparation, insulation installation, and polishing cement-marble composites are difficult to automate at scale, meaning job displacement is unlikely in the near term.

Czym zajmuje się lastrykarz?

Lastrykarze are specialized craftspeople who create and finish terrazzo surfaces—a durable composite material made from cement and marble chips. Their work involves preparing substrates, installing separation strips to define design boundaries, pouring cement-marble solution mixtures, and hand-polishing surfaces to achieve the desired smoothness and aesthetic finish. This is precision work requiring both technical knowledge of material properties and manual dexterity. Lastrykarze typically work on floors in commercial and residential buildings, requiring coordination with construction teams and attention to safety protocols throughout the process.

Jak AI wpływa na ten zawód?

The 27/100 disruption score reflects a clear divide between administrative and hands-on work. Vulnerable skills (39.31/100)—including record-keeping, supply processing, and material calculations—are prime candidates for digital automation and inventory management systems. However, these administrative tasks represent only a fraction of lastrykarz responsibilities. Resilient core skills like installing insulation, screed pouring, and terrazzo polishing require physical dexterity, real-time problem-solving, and aesthetic judgment that current robotics cannot replicate reliably on varied construction sites. The modest AI-enhanced skills category (measurement, chemical safety compliance) suggests AI tools will augment rather than replace—improving precision through digital leveling instruments or safety documentation systems. Near-term outlook: administrative burden decreases through software; mid-term: specialized tools may assist measurement and mixing; long-term: human craftspeople remain essential for quality control and complex floor designs.

Najważniejsze wnioski

• •Administrative tasks like supply tracking and progress records face automation risk, but these are secondary to core terrazzo craftsmanship.
• •Physical installation and polishing work—the primary occupational tasks—require human skill and remain difficult to automate effectively.
• •AI tools will likely enhance precision work rather than eliminate lastrykarz positions, particularly in measurement and safety compliance areas.
• •The low 27/100 disruption score indicates stable long-term employment outlook for skilled practitioners in this specialized construction trade.

Wynik zakłócenia AI NestorBot obliczany jest na podstawie 3-czynnikowego modelu wykorzystującego taksonomię umiejętności ESCO: podatność umiejętności na automatyzację, wskaźnik automatyzacji zadań oraz komplementarność z AI. Dane aktualizowane kwartalnie.