When Will AI Replace Infirmier anesthésiste ?

AI is projected to automate approximately 15% of Nurse Anesthetist tasks by 2029, focusing on areas like pre-operative assessment, drug dosing calculations, and routine patient monitoring. This automation will be gradual, with no widespread impact anticipated in the near term.

Early automation pressures, by 2024, might be felt by junior CRNAs working in highly standardized surgical settings, such as routine colonoscopies or dental procedures. These environments are more amenable to AI-driven efficiencies.

The mid to late-wave transformation will see AI-assisted systems handling more complex calculations and monitoring. However, the core responsibilities of critical decision-making, emergency response, and ultimate patient safety oversight will remain firmly with experienced human anesthetists.

Junior CRNAs operating in predictable, routine surgical environments are the most likely to experience earlier, albeit limited, automation impact. This is due to the nature of tasks in procedures like routine colonoscopies or dental work, which are more easily standardized.

Experienced anesthetists, particularly those specializing in complex cases such as cardiac surgery, trauma, or obstetrics, are expected to remain indispensable. Their expertise in critical decision-making and emergency management ensures their safety through 2034 and beyond, with demand projected to grow significantly.

Focus on developing and honing skills in complex patient management, critical thinking, and emergency response. These are areas where human judgment and adaptability are paramount and will be less susceptible to AI automation.

Embrace continuous learning and professional development. The profession requires ongoing education and staying abreast of new technologies. While AI will assist, the human anesthetist's role in complex cases and patient advocacy is irreplaceable.