AI has the potential to significantly impact the roles and responsibilities of data analysts and data scientists. Here are several ways this might happen:

1. Automation of Routine Tasks: AI can automate many routine data processing and cleaning tasks, allowing data analysts and scientists to focus on more complex and strategic tasks.
2. Shift Towards Interpretation: As AI becomes more proficient in data analysis, the role of data professionals may shift towards interpreting and communicating the results of AI-driven analyses.
3. Model Development and Training: Data scientists will likely spend more time developing, training, and fine-tuning complex AI and machine learning models.
4. Data Strategy Development: With AI handling much of the data analysis, data professionals might take on a more strategic role, advising on the best ways to collect, manage, and use data to achieve business goals.
5. Ethical Oversight: Data professionals may be responsible for ensuring the ethical use of AI and data, such as avoiding biases in AI models and ensuring data privacy.
6. AI Explainers: As AI becomes more prevalent, there will be a growing need for 'AI explainers' who can interpret and explain the workings of complex AI models to non-technical stakeholders.
7. Continuous Learning: Given the pace of AI development, data professionals will need to be lifelong learners, continually updating their skills and knowledge to stay relevant.
8. Cross-functional Collaboration: The integration of AI into various business functions may lead to more cross-functional roles for data professionals, requiring a broader understanding of business operations.
9. Security and Compliance: Data scientists and analysts will have to incorporate data security and compliance aspects into their roles, given the importance of data protection and various regulatory requirements.
10. Advanced Predictive Analytics: Data scientists will be more involved in creating complex predictive models using AI, which can provide forward-looking insights for businesses.

Remember, while AI is transformative, it is a tool that requires skilled professionals to deploy, manage, and interpret it effectively. So, rather than replacing data analysts and scientists, AI is likely to reshape their roles in new and exciting ways.