{"id":21641,"date":"2026-08-24T20:03:55","date_gmt":"2026-08-24T18:03:55","guid":{"rendered":"https:\/\/inkubitstaging.wpenginepowered.com\/blog\/2026\/08\/24\/project-increase-profitability-why-utilization-isnt-enough-and-ai-alone-doesnt-help\/"},"modified":"2026-08-24T20:03:55","modified_gmt":"2026-08-24T18:03:55","slug":"project-increase-profitability-why-utilization-isnt-enough-and-ai-alone-doesnt-help","status":"publish","type":"post","link":"https:\/\/www.inkubit.com\/en\/blog\/2026\/08\/24\/project-increase-profitability-why-utilization-isnt-enough-and-ai-alone-doesnt-help\/","title":{"rendered":"Increasing project profitability: Why capacity utilization is not enough and AI alone does not help"},"content":{"rendered":"

Many companies still manage their project business through capacity utilization. Teams should be planned as completely as possible, idle time is considered a problem and high utilization is a sign of efficiency. In practice, however, the picture is different. Projects are underway, teams are busy, and yet profitability falls short of expectations. Margins are under pressure, although there seems to be a lot of work. At the same time, AI is coming more into focus. Many expect automation and intelligent systems to solve these problems. But here, too, a limit quickly becomes apparent. In this article, you will learn why capacity utilization is no longer sufficient as a control variable, what structural causes are behind declining profitability and what role AI actually plays in this. <\/p>\n

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