Print Production Manager
E1303
Future work distribution
Human only
Collaboration
AI only
This chart shows how the job's tasks split between humans and AI. "AI only" means a task AI can handle without a human — not a job removed: the role recomposes and the human refocuses on judgment, relationships and oversight.
AI Position of the Job
AI Impact on this job
You are a production manager in the printing industry; your job remains lightly exposed to AI. Artificial intelligence can automate certain repetitive tasks and produce analyses, but team coordination and technical decisions remain primarily your responsibility.
Your job remains lightly exposed to AI, which automates calculations and reports while human oversight remains central.
What will change
- Perform calculations of labor and equipment needs from standard formulas, AI being able to execute these repetitive calculations on its own and apply predefined rules.
- Generate and update schedules and reports from spreadsheets and work orders, AI quickly processing structured data to produce estimates and operational documents.
- Prepare operating instructions and translate specifications into standardized procedures, AI converting technical documents into clear instructions for operators.
What AI will improve
- Provide prefilled calculations and alternative scenarios to adjust staffing and production rates, AI speeds up simulations while you validate operational choices.
- Summarize dashboards and production variances to prioritize actions, AI accelerates analysis and enables you to make targeted decisions.
- Suggest avenues for method improvements and maintenance alerts, AI amplifies your analytical capacity but you retain implementation and team management.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For Print Production Manager, AI can already do 14% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Master AI analytics: use LLMs and specialized tools to interpret metrics, extract insights, and prioritize actions.
- Strengthen social intelligence and leadership for interactions with management and subcontractors, including conflict resolution and negotiations.
- Improve reading of AI/ERP metrics and reports to guide operational decisions and production management.
3-year outlook
Over the next three years, AI will handle data collection and analysis, anomaly detection, and schedule optimization. You’ll remain the human pivot for leadership, critical choices, and supplier and team relationships, reinforcing your strategic role within the workshop.
AI tools used in this profession
Solutions deployed in production by professionals in this field
A general LLM assistant is already within reach
Before any specialized software, a latest-generation LLM assistant (Claude, ChatGPT, Mistral Le Chat, Gemini…) is available for this profession. Versatile, it helps draft, summarize, translate, structure or explore ideas. We treat it as a common baseline shared by almost every profession, distinct from specialized tools.
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Tasks most exposed to AI alone
9Tasks most augmented by AI
10Your role isn't an average.
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Frequently Asked Questions
AI and automation will automate some of the repetitive production tasks, but they won’t replace your role as a manufacturing manager. Your expertise remains essential to lead teams, ensure quality, and make quick decisions in response to unexpected challenges. You’ll also optimize schedules and processes, allowing you to focus on continuous improvement and innovation, making your role even more relevant.
While the number of people required may evolve, it’s unlikely to decrease drastically. Key roles will shift toward supervision, equipment maintenance, quality control, and operational data management. You’ll be responsible for guiding teams, solving complex problems, and ensuring overall line performance.
To adapt, focus on developing skills in production management, data analysis, and automated systems (MES/ERP). Invest time in training on process optimization, lean manufacturing, and data cybersecurity. Pursue certifications or internal training to upskill, and engage in cross-functional projects. Strengthen your leadership to drive change.