AI is saving Bulgarian companies an average of one month of employee working time per year

Sunday, Jun 28, 2026

Mediapool

AI adoption boosts productivity across sectors, saving workers time but creating skill gaps and job role reorganization globally.

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[This is an automatically generated summary, for reference only]

Artificial intelligence (AI) is significantly impacting various job markets across Europe, leading to both efficiency gains and workforce restructuring. In Bulgaria, AI adoption allows employees to save an estimated 30 working days per year by automating routine tasks, with software development and marketing being the most affected sectors. A notable trend is that employees are often adopting AI tools before their companies mandate it, creating a gap between employee capability and corporate investment in training.

Across different countries, the impact varies:

  • General Trend: While fears of mass job replacement exist, evidence suggests more role reorganization and skill hybridization rather than outright elimination.
  • Italy: The focus is on upskilling and adapting roles; however, there are documented cases where AI implementation led to staff reductions (e.g., InvestCloud Italy) or was used in legal defense for layoffs (graphic designer case).
  • Austria: Despite public fear of job loss, the IT sector shows overall growth, though companies like Accenture emphasize a three-stage process: upskilling existing workers, hiring specialists, and redesigning obsolete roles.
  • Czech Republic: Discussions about AI’s impact are often overshadowed by concerns over general cost reduction measures or cyclical downturns in the IT sector.
  • Romania: The software industry has seen workforce reductions, with experienced programmers taking on tasks previously handled by juniors, partly due to lower client project rates and the removal of tax incentives for IT staff.

Overall, while AI is lowering entry barriers and creating demand for new skills like prompt engineering, a persistent issue across regions is the mismatch between rapidly evolving technological requirements and insufficient corporate investment in employee training.

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