In recent years, the field of programming has witnessed a transformative impact due to advancements in Artificial Intelligence (AI). As AI advances, the question of whether students should learn programming becomes more nuanced.

Traditionally, programming required mastery of languages, algorithms, and problem-solving. However, with the rise of AI, there's been a shift toward automation and abstraction. AI tools, capable of understanding natural language and generating code, have streamlined certain aspects of software development. This raises the question of whether traditional programming skills will remain as crucial.

On one hand, AI has the potential to augment the capabilities of programmers by automating routine tasks and enhancing productivity. This suggests that future programmers may need a different skill set, focusing on understanding AI tools, data analysis, and machine learning.

On the other hand, the fundamental principles of programming remain relevant. Regardless of AI advancements, understanding the logic of algorithms, debugging, and problem-solving will likely endure. Moreover, while AI can generate code, it may lack the creativity and intuition that human programmers bring to complex projects.

Therefore, the answer to whether students should learn programming in the era of AI is not binary. It is increasingly essential for students to grasp the fundamentals of programming while also adapting to the evolving landscape. A hybrid approach that combines traditional programming skills with an understanding of AI technologies might be the key to success in the future.

In conclusion, the impact of AI on programming is undeniable, reshaping how software is developed. While AI tools may automate certain tasks, the core principles of programming will likely persist. Students should navigate this changing landscape by acquiring a foundational understanding of programming alongside an awareness of AI advancements. This dual proficiency will position them to thrive in a field that continues to evolve with the integration of artificial intelligence.