The Future of Competitive Intelligence Analysts in the AI Era

The massive number of publications on AI appears to be building an alternative to Competitive Intelligence (CI) analysts. Suddenly, the world has found a better alternative to intelligent analysts, and some wonder if human analysts will still be needed. The rapid advancement of AI in competitive intelligence (CI) has introduced new tools and capabilities for data collection and analysis. As organizations face increasingly complex markets and rapid shifts in competitive dynamics, combining AI-powered tools is becoming more crucial. The demand for better intelligence is growing, and executives are confident that CI can be more effective with the new AI tools they acquire. These expectations by senior executives are pressuring CI directors. Let us investigate this matter to examine AI's tremendous progress and evaluate the added value provided by human analysts. While human inference by analysts will continue to be needed, the input from AI tools is growing. The limitations of AI tools are well understood and anticipated. The focus of the added value of human analysts will be on delivering Anticipatory Intelligence (ANTINT). Analysts will have to be familiar with the ANTINT methodology and its interface with AI.