While it is a widespread belief that artificial intelligence technologies accelerate work processes, recent discussions show that this conviction is not unambiguous. Although many users believe time savings are achieved in the initial stage, it is reported that additional time is spent correcting errors that arise later.
The editorial reports that a newly published report characterizes this situation with the term “workslop”. According to the report, although the results generated by artificial intelligence appear to give a “practically ready” impression, manual intervention becomes necessary due to serious inaccuracies and inconsistencies.
According to experts, this approach leads to a shift in work process priorities. While the goal was previously the principle of “do it faster,” a model of “do it with artificial intelligence and fix it again” is now forming, which requires a re-evaluation of real productivity indicators.
The report emphasizes that the widespread use of artificial intelligence can create efficiency in the long term, but at the current stage, it is not possible for these technologies to provide fully reliable results without human supervision and editing. This forces organizations and individual users to reconsider their productivity goals.