what are productivity improvement claims of organizations with gen ai? how much more efficient are organisations saying they are?

Organizations report that generative AI can increase individual worker productivity by 15% in the right context [1]. Employees frequently cite benefits such as greater output levels, faster project delivery timelines, and the ability to reduce project backlogs and technical debt [7, 11]. At the organizational level, firms report higher productivity, which can lead to lower production costs and higher potential output [8]. Some research suggests that enhanced employee productivity directly translates into improved organizational outcomes, including increased output, better quality, and enhanced customer service [12]. However, there is a noted "productivity paradox" where perceived gains by executives are often larger than measured gains [5]. While individual workers experience speed improvements, business-wide productivity is often described as floundering because AI is being layered over existing organizational inefficiencies [7]. Furthermore, some analysts warn that using AI simply to perform existing work faster is becoming a standard requirement rather than a source of durable competitive advantage, as these gains are often competed away and erode margins [6].