Wie KI die Produktivität steigert – statt das Hamsterrad zu beschleunigen
Wer die Vorteile der neuen Technologie wirklich nutzen will, muss Prozesse grundlegend neu denken. Sonst führt KI nur zu mehr Geschäftigkeit.
Artificial Intelligence (AI) can significantly boost productivity, but merely deploying it across various tasks doesn't always translate to a more efficient organization. Instead, the technology's full potential may only become apparent once it's been integrated into workflows and company structures. Many early adopters of AI have witnessed improvements in individual tasks, such as creating presentations or drafting emails, but the real question is whether these gains cascade into broader productivity improvements for the entire company.
Initial research indicates that perceived productivity gains often outpace actual performance, especially when individuals shift their focus to handling additional tasks rather than enhancing existing processes. A study by the US Federal Reserve suggests that while AI investments are evident, significant productivity gains are yet to emerge at the macroeconomic level.
This phenomenon can be attributed to the fact that while certain tasks become faster with AI assistance, new responsibilities often arise to evaluate and improve the output, essentially leading to a frenetic pace of activity rather than substantive productivity gains. The key to unlocking AI's potential lies in identifying and reimagining outdated processes, which requires not only technological expertise but also a cultural shift within organizations.
This is no simple IT project; it necessitates strategic planning and a reevaluation of what should be prioritized. Peter Drucker, a management guru, warned decades ago that doing something with great efficiency but without purpose is just as wasteful as not doing it at all. In the era of rapid AI advancement, the challenge is twofold: avoid creating a hamster wheel of frenetic, low-value activity that doesn't improve productivity, and instead harness AI to fundamentally disrupt and enhance entire value chains, potentially yielding substantial productivity gains despite the challenges and risks associated with this transformative technology.
Written by urgent.news from NZZ Wirtschaft's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.