According to a report, 30% of game developers anticipate that AI will assume an "extremely important role" in quality assurance testing

A recent investigation by Modl.ai highlights the significance of artificial intelligence in the quality assurance (QA) aspects of game development. Thirty percent of developers surveyed marked AI as being "extremely important" to these processes.

This survey, conducted in September 2024, gathered insights from 303 game developers in the United States. Participants hailed from diverse domains such as QA, production, art, programming, game and level design, audio, and studio management.

Findings revealed that 94% of these professionals have seen AI implemented within their studios to aid in areas like automated test scripting, bug reporting, and playtesting.

The study proposed that AI could tackle "repetitive, tedious, and data-heavy tasks," enabling developers to focus on more "creative and exploratory" QA activities where "human involvement really makes a difference."

This insight is particularly relevant as 77% of developers reported performing "less QA than they should have" because of limited time and resources.

About 50% of those surveyed recognized AI as most beneficial for quickening bug identification, along with automated reporting and around-the-clock testing.

When it comes to AI's cost-effectiveness in QA, 15% rated it as "very cost effective," while 40% considered it "somewhat cost effective," and 34% remained neutral.

However, concerns persist regarding AI in QA. The predominant reservations include the "lack of human intuition," "potential for inaccuracies," and "inconsistent results."

Modl.ai's CEO and co-founder, Christoffer Holmgård, remarked, "AI complements human expertise; it doesn't replace it." He emphasized the necessity for AI tools to concentrate on human-AI synergy in the evolution of QA protocols.

Holmgård stressed the importance of developers examining their workflows to determine how best to integrate AI tools effectively.