The number of users accessing AI apps in the enterprise is growing exponentially. Over the past two months, the percentage of enterprise users accessing at least one AI app each day has increased by 2.4% weekly, for a total increase of 22.5% over that time period. At the current growth rate, the number of users accessing AI apps will double within the next seven months. Over the same time period, the number of AI apps in use in the enterprise held steady, with organizations with more than 1,000 users averaging 3 different AI apps per day, and organizations with more than 10,000 users averaging 5 AI apps per day. At the end of June, 1 out of 100 enterprise users interacted with an AI app each day.
The most popular enterprise AI app by a large margin is ChatGPT, with more than 8x as many daily active users as any other AI app. ChatGPT has been the center of much hype for the past six months and is also very versatile, likely contributing to its popularity. The next most popular app is Grammarly, which focuses exclusively on writing assistance. Bard, Google’s chatbot, comes in just below Grammarly. All other AI apps combined (of which we are tracking more than 60, including Jasper, Chatbase, and Copy.ai) are less popular than Google Bard.
Over the past two months, the fastest growing AI app in the enterprise was Google Bard. Although it still lags far behind ChatGPT in popularity, Google Bard is currently adding users at a rate of 7.1% per week, compared to 1.6% for ChatGPT. At their current rates, Google Bard is poised to catch up to ChatGPT in just over a year. However, as the AI app space is very dynamic, we expect to see many more changes during that time which will disrupt the current growth rates.
Netskope Threat Labs tracks the popularity of AI apps in enterprise environments, rather than the overall popularity of the apps among consumers. For example, while ChatGPT popularity skyrocketed among consumers before cooling off in June, its adoption in the enterprise has been more measured and continues to increase exponentially. The remainder of this report highlights some of the reasons for the measured increase, which include risks of data leakage and controls around its use.