In his latest article, Rafał Radecki shows that in 2026, artificial intelligence will cease to be an experiment and become part of business infrastructure. However, technology alone is not enough.
💡 AI generates responses based on data and the patterns contained therein – therefore, they require conscious use.
💡 Data is the foundation, but without the ability to interpret it, it can lead to erroneous conclusions.
💡 Data literacy is becoming an infrastructure competency today – not an advantage, but a necessity.
The article “AI requires competence: Data literacy as a prerequisite for the mature adoption of artificial intelligence” is part of the upcoming Technology Trends Report, in which we look at the real challenges of 2026.
The author discusses, among other things:
✔️ the phenomenon of AI model hallucinations and their business consequences
✔️ the importance of critical analysis of algorithm-generated responses
✔️ practical examples of data literacy in finance, health, and management
✔️ the level of data skills in Poland compared to Europe
Because in an era where AI responds in seconds, humans are still responsible for the quality of decisions.
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