- A survey of over 1,200 leaders shows that only 25% of US businesses integrate AI into processes, while 44% still use discrete tools for individuals.
- About 40% of current AI value comes from ChatGPT-style tools, but only 13% comes from agents and 10% from custom models.
- Only 18% of organizations have enterprise-wide centralized AI platforms, indicating a low level of maturity.
- Many experts believe that businesses are actually using AI as “advanced search engines” rather than true automation.
- Chatbot-style AI requires humans to ask questions and process results, whereas agents can operate processes autonomously without being asked.
- Although more than 80% of leaders understand AI’s potential, the gap between awareness and actual implementation remains large.
- The main barriers lie in fragmented data and legacy systems that are unsuitable for AI operations.
- Standalone tools are easy to deploy but offer limited value, while deep integration brings greater benefits but is complex and costly.
- Deploying agents too quickly can pose risks if there is a lack of control and protective mechanisms.
📌 Businesses currently mainly stop at using AI like ChatGPT, with 40% of value coming from chat tools and only 25% integrated into processes. Although more than 80% of leaders are clearly aware of the potential, weak data infrastructure and legacy systems make advanced AI deployment difficult. Agents and deep integration promise greater value but come with risks and costs. This shows that AI is still in a transitional stage and has not yet exploited its true power.
