Industry Insights

GenAI Unleashed: Four Key Insights from Our New Study

July 29, 2024

We’ve just released our new research report that shines a light on how end users are using ChatGPT, Gemini, and more than five thousand other GenAI-enabled applications.

The report, GenAI Unleashed, is based on Harmonic’s own random sample of 1,000 enterprise employees who have used at least one GenAI app in the last three months.

Here are the four key questions this report answers. 

What is the total number of GenAI tools available?

The study found that 5,020 GenAI or GenAI-enabled tools are in use, and just 4% of those are core GenA tools like ChatGPT, Claude, Gemini, or Perplexity.

Of the core GenAI applications, the most popular by far is ChatGPT which is used by 84% of users and is 6X more popular than Google Gemini which is the next nearest app in terms of popularity used by 14%.

In terms of the business case, 25% of apps help with content including editing, creation, summarization, and translation, 18% are business tools such as Slack, Notion, and Grammarly, while 13% provide customer service help such as streamlining support.

How many apps does an average employee utilize? 

While 10% of employees only use one GenAI app, the average employee uses 8.25 GenAI apps every month. Overall, the number of apps being used is down 11% from June – indicating that employees might be refining their use cases and the apps they deem useful.

At the other end of the scale, we’ve defined 18.9% of employees as power users; those that are using 12 or more each month. ‘power users’ use more than 12 whereas 

What purposes do employees use GenAI applications for? 

Employees are overwhelmingly leaning on GenAI tools for help with content – which includes creating, summarizing, and editing text. 47% of analyzed prompts fall into this category. These use cases remained consistent across the reporting period, suggesting that this is the most solidified use case.

The next most popular is software engineering with 15% of the share. Others featuring strongly include data interpretation, processing, and analysis (12%), business and finance (7%), and problem-solving and troubleshooting (6%).

What are the risks associated with GenAI applications?

30.8% of applications studied declare they train on customer data, which means that any sensitive data uploaded can be used to train their models. 

Furthermore, less than 1% have a ‘Trust Center’ - where it is possible to see at a glance crucial security and privacy settings. We hope to see more GenAI and GenAI-enabled applications incorporate trust centers over the next year.

Check out the full report 

Check out the full report, GenAI Unleashed, for more findings and analysis!

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Michael Marriott