Artificial intelligence: It’s on everyone’s minds. If we don’t adopt AI, will we be left behind? Is this a new skill we’ll all have to learn and hire for? Are AI tools a security and privacy liability? And perhaps the biggest question of all: Will AI replace the need for a human to do my job?
We wanted to cut through the noise and get real data on how real QA teams are adopting, planning for, and feeling about artificial intelligence. To that end, we decided to survey over 1,000 quality professionals about their use and plans for AI and share those insights with the broader QA community.
In this report, you’ll find the results of this survey, including:
- How many QA teams have already adopted AI practices
- Common barriers and challenges to AI adoption
- Which test types are benefitting the most from AI assistance
- Tips for effectively leveraging AI in your QA processes
- And the biggest hopes and opportunities for the future of AI in QA
This guide also includes prompt ideas that you can start leveraging to see AI-driven results in your own QA processes today.
Executive Summary
We’ve collected insights from over 1,000 QA professionals in the first-ever AI in QA survey to cut through the noise and get real data on the state of artificial intelligence in quality. This guide provides illuminating insights into the true impact of AI on QA teams as well as actionable takeaways to help you start leveraging AI tools in your quality processes today.
