ILO Working Paper 140 (2025): Generative AI and Jobs: A Refined Global Index of Occupational Exposure
Task-level occupational exposure framework for generative AI, built from expert input and model predictions.
OPEN SOURCE ↗Directing is the expression of a human artistic vision through the work of many collaborators. AI tools assist. The director's voice is is moving quickly but still depends on deployment, regulation, and economics.
Film directors are the creative intelligence that shapes every element of a film: extracting performances from actors through relationship and trust, making hundreds of immediate creative decisions on set each day, coordinating the collective effort of hundreds of collaborators toward a unified vision, and bringing a personal artistic perspective formed through lived human experience.
AI tools assist with pre-visualisation, shot composition suggestions, script analysis, and visual effects. These are tools in the hands of a director. They do not constitute a director.
The question of whether AI could replace a director misunderstands what a director is. A director is not primarily a decision-making system. A director is a human creative intelligence with a distinctive perspective on the human condition, expressed through a collaborative art form that requires the presence of a human vision-holder at its centre.
These are the genuine threats to this profession. They are real, but they are not sufficient to overturn the fundamental analysis. Here is why.
Put the case that Film Director will not survive AI displacement. The system responds with counterarguments from the research base. Strong arguments shift the score — up to a maximum of ±15 points. The system is not an AI. It is a structured argument engine.
This question layer is generated from the job verdict, the resistance case, the regional rollout logic, and the evidence status of this page. Use the filters to focus the discussion, or trigger a random question and work through the role from multiple angles.
Keep the framework, but add at least one sector-specific source and remove any remaining implied precision.
TIER 3 review queue with 6 core sources and 1 framework signals.
This page is grounded in task exposure research and labour-market trend reports, then translated into a reasoned occupation-level argument.
This site now treats exact timelines, total job-loss counts, and regional speed as interpretive estimates unless a cited source states them directly. The argument on this page should be read as a structured forecast, not a guaranteed future.
These impact figures are site estimates for comparison and should not be read as official labour-market counts.
Task-level occupational exposure framework for generative AI, built from expert input and model predictions.
OPEN SOURCE ↗Finds clerical work is the most highly exposed occupational group and that augmentation is often more likely than full occupation automation.
OPEN SOURCE ↗Shows AI exposure is highest in many white-collar cognitive occupations, while manual occupations tend to have lower exposure.
OPEN SOURCE ↗Advanced economies are more exposed to AI because they have more cognitive-intensive jobs; infrastructure and skills limit adoption elsewhere.
OPEN SOURCE ↗Large-employer survey showing clerical roles among the fastest-declining and care, education, software and green-transition jobs among growth areas.
OPEN SOURCE ↗Argues advanced economies are better positioned to benefit from AI due to infrastructure, skills, and institutions.
OPEN SOURCE ↗