Most Polish Firms Skip Measuring AI Investment Returns, Report Shows

Widespread Use, Minimal Measurement

BGR Quantic's report for Microsoft found that 94.1% of surveyed Polish decision-makers employ AI technologies, according to ITwiz (Większość polskich przedsiębiorstw nie mierzy opłacalności wdrożeń AI). Despite this high adoption rate, only 11.5% of companies formally measure return on investment using key performance indicators, Gazeta Prawna reports (Samo narzędzie nie przyniesie zmiany. Tak polski biznes inwestuje w AI). The gap suggests most organizations lack systematic approaches to evaluate AI effectiveness.

Tool-Focused Investments

Polish enterprises primarily invest in standalone AI tools rather than building operational or strategic frameworks to assess business outcomes, according to the BGR Quantic study (Samo narzędzie nie przyniesie zmiany. Tak polski biznes inwestuje w AI). This pattern limits companies' ability to determine whether AI implementations deliver measurable value. The technology sector, financial services, and manufacturing lead in AI adoption, though measurement practices remain weak across industries, ITwiz notes (Większość polskich przedsiębiorstw nie mierzy opłacalności wdrożeń AI).

Implementation Gaps Persist

Nearly one-quarter of surveyed organizations—22.5%—have not yet begun implementing AI technologies, the report shows (Większość polskich przedsiębiorstw nie mierzy opłacalności wdrożeń AI). This segment represents businesses still evaluating potential applications or facing barriers to adoption. The combination of non-adopters and adopters who skip measurement indicates that roughly one-third of Polish companies operate without clear data on AI's business impact.

Measurement Framework Absent

The limited use of KPIs prevents companies from determining success or failure of AI initiatives, according to Gazeta Prawna's coverage of the report (Samo narzędzie nie przyniesie zmiany. Tak polski biznes inwestuje w AI). Without metrics tied to specific business goals, organizations cannot identify which AI applications warrant continued investment or require adjustment. This absence of measurement infrastructure may lead to resource misallocation and missed opportunities to optimize AI deployments based on performance data.

Źródła

• Większość polskich przedsiębiorstw nie mierzy opłacalności wdrożeń AI
• Samo narzędzie nie przyniesie zmiany. Tak polski biznes inwestuje w AI