Pulmonologist
J1128
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
As a pulmonologist, you are unlikely to face complete automation. AI takes on routine and structured tasks while remaining a support tool for your clinical decisions. This evolution allows you to focus your expertise on complex situations and the patient relationship.
Preserved: AI offers moderate assistance without challenging the central role of clinical judgment and the patient relationship.
What will change
- Initial interpretation of chest radiographs and other imaging studies: AI automatically detects and quantifies simple signs and produces structured reports, handling repetitive readings to speed up triage of exams.
- Analysis of spirometry curves and parameter extraction: AI calculates ventilatory indices, detects poor-quality tests and generates a standardized interpretation, freeing time from mechanical reading tasks.
- Drafting therapeutic proposals for protocolized situations: based on guidelines, AI prepares recommendations and template prescriptions for simple cases, handling standard scenarios to reduce administrative and repetitive work.
What AI will improve
- Support for image interpretation: AI flags subtle abnormalities, provides quantitative measurements and prioritizes urgent studies, helping you refine and validate the final interpretation more quickly.
- Improving the quality of respiratory function tests: AI performs real-time quality control, guides execution and alerts you to non-compliant recordings, facilitating better-supported therapeutic decisions.
- Assistance for longitudinal follow-up and therapeutic decision-making: AI aggregates clinical and paraclinical data, identifies trends in progression and proposes guideline-based options, allowing you to personalize care and prioritize interventions.
This result describes the occupation — not your role yet
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For Pulmonologist, AI can already do 4% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Manage and supervise AI results, particularly imaging interpretation and the integration of practice guidelines via AI tools (LLM + specialized tools).
- Strengthen skills in patient data analysis and chronic disease follow-up using dedicated AI platforms (LLM + specialized tools).
- Enhance patient communication and education about AI-assisted decisions and treatments (LLM + specialized tools).
3-year outlook
In three years, AI will enhance gains in imaging and follow-up, freeing up time for clinical reasoning and patient relationships. The core of the profession will remain judgment and communication; protocols will become more standardized and better supported by decision-aid systems. Facilities will need to invest in AI infrastructure and training to ensure safety and quality.
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
7Tasks most augmented by AI
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Frequently Asked Questions
The risk of total disappearance is low. AI and digital tools will primarily complement your skills by assisting with exam interpretation, early screening, and patient data management. However, clinical judgment and the patient relationship remain irreplaceable elements. You will therefore continue to play a central role in teams and can keep exercising your expertise.
Staffing levels will remain necessary given the complexity of cases and the long-term follow-up of pulmonary patients. Demand will be sustained by an aging population and the rise in respiratory pathologies. You will see a distribution that combines physicians and paramedical teams. While AI can speed up certain tasks, your human support will remain essential.
To stay relevant, you can develop skills in digital medicine and in managing respiratory care programs, such as remote monitoring and ventilatory rehabilitation. Invest in multidisciplinary collaboration, data management, and the use of decision-support tools to optimize diagnostics and treatment plans. Finally, seek opportunities for clinical leadership and continuous training to anticipate changes in the profession.