Most AI at work is bullshit (www.fasterhorses.md)

A recent critique highlights that much of the AI work being implemented in companies is ineffective, leading to what is described as "bullshit AI." This phenomenon stems from organizations adopting AI tools without fundamentally changing their management or workflow practices. Companies may believe they are transitioning to an AI-first approach by encouraging staff to use AI for tasks like email drafting or meeting summaries, yet these superficial changes do not translate into meaningful organizational transformation or improved outcomes. A notable statistic indicates that 95% of enterprises investing heavily in AI reported no return on investment, underlining the disconnect between AI usage and actual productivity gains. To address these challenges, companies are encouraged to shift from merely promoting the use of AI to integrating it as an essential part of everyday work. Strategies such as dedicating time for AI projects, establishing clear goals, and focusing on impactful outcomes rather than just activity are suggested. For instance, Omnisend introduced initiatives to allocate time for AI-focused work and reward impactful uses of AI rather than mere compliance. This approach emphasizes the importance of aligning AI efforts with organizational goals, fostering a culture where genuine innovation and improvement can thrive, ultimately leading to more tangible benefits from AI investments.