The Age of Generative AI: Over half of Americans have used generative AI and most believe it will help them be more creative

Generative AI has taken the world by storm over the last year, enabling millions of people to bring their imagination to life in ways they never dreamed were possible — simply by inputting text prompts to tell their computer what they want to create ¹.

Generative AI FAQs

What is generative AI?
Generative AI can learn from existing artifacts to generate new, realistic artifacts (at scale) that reflect the characteristics of the training data but don’t repeat it. It can produce a variety of novel content, such as images, video, music, speech, text, software code and product designs ².

How many Americans have used generative AI?
Almost all Americans surveyed have heard of generative AI, and over half (53 percent) have used it ¹.

How do Americans use generative AI?
Consumers use generative AI most in their personal lives (81 percent), followed by work (30 percent) and school (17 percent). Of consumers that regularly use generative AI, almost half (41 percent) use it every day ¹.

What are the popular use cases for generative AI?
Popular use cases for generative AI include research and brainstorming (64 percent), creating first drafts of written content (44 percent), creating visuals or presentations (36 percent), trying an alternative to search (32 percent), summarizing written text (31 percent), creating images or art (29 percent), and creating programming code (21 percent) ¹.

What are the benefits of generative AI?
The benefits of generative AI include faster product development, enhanced customer experience and improved employee productivity, but the specifics depend on the use case ².

What are the risks associated with generative AI?
The risks associated with generative AI are significant and rapidly evolving. A wide array of threat actors have already used the technology to create “deep fakes” or copies of products, and generate artifacts to support increasingly complex scams ².

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