Explore safer careers (3)
Lower estimated automation risk
Why it fits
Uses broad diagnosis, medication management, inpatient coordination, discharge planning, family communication, and clinical documentation.
Why it fits
Transfers child preventive care, family communication, diagnosis, immunizations, developmental screening, and referral coordination.
Why it fits
Uses broad diagnosis, urgent assessment, stabilization, triage, procedures, referrals, and crisis communication with specialty retraining.
Occupation snapshot
What does this snowflake show?
What's this?
We rate jobs using four factors. These are:
- Chance of being automated
- Job growth
- Wages
- Volume of available positions
These are some key things to think about when job hunting.
Risk & user votes
Calculated automation risk
Minimal Risk (0-20%): This occupation appears difficult to replace end-to-end with current or near-future automation, including AI software and robotics. Roles in this range usually depend on human judgement, creativity, care, leadership, specialist expertise, or adapting to messy real-world situations. AI and machines may still change parts of the work, but the occupation is likely to remain a distinct human role.
More information on what this score is, and how it is calculated is available here.
Human strengths important in this job
These are human abilities and work contexts that are important in this occupation. They may help explain why parts of the role are harder to replace end-to-end, but they are not the only inputs into the automation score.
Assisting and caring for others
Very importantWhy this matters
Decision-making and problem solving
Very importantWhy this matters
Psychology knowledge
Very importantWhy this matters
Active learning
Very importantWhy this matters
Working directly with the public
Quite importantWhy this matters
Show 5 more strengths
Persuasion
Quite importantWhy this matters
Managing and developing people
Quite importantWhy this matters
Originality
Quite importantWhy this matters
Instructing
Quite importantWhy this matters
Developing objectives and strategies
Quite importantWhy this matters
What users think
Based on 223 votes
Our visitors have voted there's a low chance this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 12% chance of automation.
What do you think the risk of automation is?
What is the likelihood that Family Medicine Physicians will be replaced by robots or artificial intelligence within the next 20 years?
Sentiment
Based on user votes over time
View sentiment trend
How opinions have changed over time
Pay & outlook
Wages
In 2024, the median annual wage for Family Medicine Physicians was $238,380 ($115 per hour).
The median annual wage for Family Medicine Physicians was 381.6% higher than the national median annual wage, which stood at $49,500.
View wage trend
Wages over time
Growth
The number of 'Family Medicine Physicians' job openings is expected to rise 2.7% by 2034
View employment trend
Total employment, and estimated job openings
Updated projections are due 09-2025.
Volume
As of 2024 there were 107,950 people employed as 'Family Medicine Physicians' within the United States.
This represents around 0.07% of the employed workforce across the country
Put another way, around 1 in 1 thousand people are employed as 'Family Medicine Physicians'.
People also viewed
Job description
Diagnose, treat, and provide preventive care to individuals and families across the lifespan. May refer patients to specialists when needed for further diagnosis or treatment.
O*NET-SOC code: 29-1215.00
What people are saying (5)
Improved accuracy: AI systems can process and analyze vast amounts of medical data much more quickly and accurately than humans. This means that they can potentially diagnose illnesses with higher accuracy and specificity than family doctors.
Cost-effective: As AI technology continues to advance, it is becoming increasingly cost-effective to deploy AI-powered medical systems. This means that it may be more financially viable to use AI systems to provide medical advice and diagnosis than to employ a large number of human doctors.
Availability: Many people in remote or underserved areas may not have access to a family doctor. AI-powered medical systems can potentially provide medical advice and diagnosis to these populations, increasing access to healthcare.
Personalized care: AI systems can leverage large amounts of data to provide personalized medical advice to individuals. This means that patients could potentially receive more tailored and effective treatments than they would from a human doctor who may not have access to the same level of data.
24/7 availability: AI-powered medical systems can potentially provide medical advice and diagnosis 24/7, which may be particularly beneficial in emergency situations.
It is important to note, however, that the replacement of family doctors by AI systems is not without its challenges. One of the biggest challenges is the ethical considerations surrounding the use of AI in healthcare, particularly with regards to data privacy and informed consent. Additionally, there may be concerns around the accuracy and reliability of AI-powered medical systems, particularly if they are not properly tested and validated. Nonetheless, as AI technology continues to advance, it is likely that we will see increased use of AI-powered medical systems to complement or even replace human doctors in certain situations.
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