Beyond the technology: Workforce changes for AI

Workplaces are increasingly integrating AI tools into daily operations, with AI assistants supporting teams, predictive analytics informing strategies, and automation streamlining workflows. AI has moved from experimental technology to standard business practice, changing how work gets done. Organizations need to understand what AI can do and how it affects their workforce to implement it successfully.

Organizations planning to integrate AI should consider these insights from the AWS sponsored whitepaper by Jonathan Brill: The AI-First Enterprise: The New Rules of Jobs and Organizational Design. This research covers the people and process changes that need to happen alongside technical implementation. Getting AI right means investing in both the technology and preparing your workforce.

In this post we explore three ways for integrating AI into your organization: addressing organizational debt, embracing distributed decision-making, and redefining management roles.

1. Address organizational debt before it compounds

Companies worry about falling behind on AI, but they ...