Why shadow AI could be the secret to fixing your company's failing AI projects

The article discusses the concept of "shadow AI" as a potential solution to fix failing AI projects in companies. It suggests that most enterprise AI pilots fail due to short-term strategies focused on cost-cutting, rather than building long-term AI readiness. The article argues that business leaders should focus on building a foundation for AI success, rather than rushing into quick fixes. It suggests that "shadow AI" – the development of AI solutions outside of the traditional IT department – can be a way to build AI readiness and long-term value. By allowing employees to experiment with AI tools and solutions, companies can identify use cases, build skills, and create a culture of innovation. This bottom-up approach can complement the top-down strategy of the IT department, leading to more successful AI implementation. The article emphasizes the importance of a holistic, long-term approach to AI, rather than quick fixes driven by short-term cost-cutting goals. It suggests that embracing "shadow AI" can be a key to unlocking the full potential of AI in the enterprise.