I’m 60, I Lead on AI Adoption, and My Industry Still Treats Me as the Liability

The game industry faces a significant contradiction regarding ageism and technological adoption. While studios frequently justify the exclusion of veteran staff by citing a need for younger, more adaptable talent, data indicates that older professionals are actually more engaged with generative AI than their younger counterparts. According to the 2026 State of the Game Industry survey, 46% of older industry professionals actively use generative AI, compared to only 34% of younger colleagues. This discrepancy highlights a disconnect between industry rhetoric and actual workforce capabilities, suggesting that age-based hiring biases are often disguised as economic or technical necessities.

The industry’s reliance on automated hiring tools exacerbates this issue. Many studios utilize applicant tracking systems that may inadvertently filter out experienced candidates through proprietary scoring algorithms. This practice mirrors concerns raised in the federal case Mobley v. Workday, where a judge ruled that AI-driven hiring tools are subject to the Age Discrimination in Employment Act. With only 1% of the game industry workforce currently over the age of 50, the systemic exclusion of veterans remains a critical concern, particularly as restructuring waves continue to thin out tenured teams under the guise of market-driven efficiency.

Ultimately, the industry’s tendency to label veteran staff as liabilities is unsupported by evidence. The expertise gained through decades of navigating technological shifts provides a unique fluency in adapting to new tools like AI. Producers and hiring committees are urged to audit their recruitment pipelines for age-based bias, as the legal and ethical risks of relying on opaque, automated screening processes are increasing. Accountability for hiring outcomes remains with the employer, regardless of whether those decisions are facilitated by software.