Who earns more AI or data science?

Salaries in both AI (Artificial Intelligence) and data science can vary based on factors such as location, experience, education, and the specific industry or company. Both AI and data science roles are in high demand, and professionals in these fields often command competitive salaries.

As of my last knowledge update in January 2022, it's challenging to definitively say whether AI professionals or data scientists earn more, as the salaries can overlap, and both fields are lucrative. However, there are some general observations:

AI Professionals:

• AI professionals, including machine learning engineers, deep learning engineers, and AI researchers, are specialized roles within the broader field of AI.
• Individuals with expertise in cutting-edge AI technologies and research may command high salaries, especially if they have advanced degrees (master's or Ph.D.) and a strong publication record in AI research.
• Salaries for AI professionals can be influenced by the demand for specific skills, such as expertise in deep learning frameworks (TensorFlow, PyTorch), natural language processing (NLP), computer vision, and reinforcement learning.

Data Scientists:

• Data science is a broader field that encompasses various roles, including data analysts, data engineers, and machine learning engineers.
• Data scientists often work with large datasets, apply statistical and machine learning techniques, and extract insights to inform business decisions.
• Salaries for data scientists can vary based on factors such as experience, industry, and the specific skills they possess, such as proficiency in programming languages (e.g., Python, R), data visualization tools, and machine learning algorithms.

In some cases, job titles and responsibilities may overlap between AI and data science roles, making it challenging to draw strict distinctions. Additionally, the demand for professionals in both fields has been strong, contributing to competitive compensation packages.

To get a more accurate and up-to-date understanding of salary trends, it's recommended to consult salary surveys, industry reports, and job market data specific to your location and the current year. Websites like Glassdoor, Payscale, and industry-specific reports often provide valuable insights into salary ranges for AI and data science roles.