The "AI-Last" Methodology (blog.wispem-wantex.xyz)

A new methodology known as "AI-last" has been proposed to address the counterproductive tendencies observed in current AI implementations. The methodology argues that despite the active and widespread adoption of AI, particularly in the software industry, the overall productivity and quality of outputs have declined. Companies have rushed to adopt AI under the “AI-first” ideology, which promotes the notion that AI should be integrated into every aspect of work. However, this approach has led to poor outcomes, as AI is often poorly suited for many tasks, especially those involving communication and reliability, ultimately cancelling out its potential benefits. The "AI-last" approach recommends that organizations focus on developing solid, functional systems before layering AI on top to accelerate performance, rather than allowing AI to form the foundational base of processes. By prioritizing human oversight and establishing high standards for AI-enhanced work, the "AI-last" methodology seeks to ensure that AI is utilized effectively and responsibly, enhancing existing human competencies rather than undermining them. This strategic shift could lead to a more productive integration of AI technologies, preventing the pitfalls of the current "AI-first" trend.