Disney extends CEO D'Amaro's AI mandate into employee performance reviews
Summary
An internal Disney document instructs employees to use Microsoft Copilot to draft self-assessment goals ahead of annual performance reviews.
The move extends CEO Josh D'Amaro's broader AI push, which already includes an internal AI adoption dashboard, AI-generated Disney+ ad production, and the September hire of Disney's first chief technology officer from Character.AI.
Management researchers warn that identical AI prompts across a team can produce uniform, low-signal reviews that are harder for managers to evaluate.
"Trying desperately to find value from the AI that they've paid a lot of money for"
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AI mandate reaches performance reviews
An internal Disney document tells staff to use Microsoft Copilot as a brainstorming partner when drafting self-assessment goals before annual reviews.
Suggested prompts direct employees to have Copilot generate three specific, measurable goals aligned with their team's FY26 objectives and additional goals tied to Disney's People Leadership Expectations.
The document tells employees they remain responsible for aligning with their manager on priorities even when AI drafts the language.
A Disney software engineer said their manager encouraged staff to use AI to review a full year's work so reviews get finished on time, replacing what is normally a manual, time-consuming process.
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Leadership pattern sets an enterprise benchmark
CEO Josh D'Amaro hired Disney's first chief technology officer in mid-September, poached from AI video startup Character.AI.
D'Amaro has already rolled out an internal AI adoption dashboard and enabled AI-generated ad production for Disney+.
"Technology in service of creativity"
The performance-review prompts mark the AI mandate's clearest expansion from content production and marketing tooling into core workforce management, a governance signal enterprise publishers can benchmark against.
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Efficiency gains carry a quality-control risk
Recruiting firm CEO Greg Summers says AI works best in reviews when it summarizes past achievements, freeing time to focus on forward goals rather than recall.
"When everyone's review is written by AI, everyone sounds great, and it gets harder to tell real excellence from generic praise"
Elijah Wee, a management professor at the University of Washington's Foster School of Business, says identical prompts across a team risk generating near-identical goals, complicating manager evaluation.
Lattice CEO Sarah Franklin frames the same efficiency push as a governance question: whether companies preserve human judgment while using AI to justify prior technology investment.
What this means
For Publishers & Developers: Anchor AI-drafted review goals to milestone and build data before calibration and promotion rounds.
For Service Vendors: Pitch review tooling grounded in project-tracker data to studios standardizing enterprise AI assistants.
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