Engineering graduates should pay attention towards AI for several reasons:

1. Increasing demand: AI is becoming increasingly prevalent in various industries, including engineering. Companies are seeking engineers who have knowledge and skills in AI to develop and implement AI-based solutions.

2. Automation and efficiency: AI has the potential to automate repetitive tasks and improve efficiency in engineering processes. By understanding AI, engineering graduates can contribute to the development of intelligent systems that can streamline operations and enhance productivity.

3. Innovation and competitiveness: AI is driving innovation in engineering fields, such as robotics, autonomous vehicles, and smart infrastructure. By staying updated with AI advancements, engineering graduates can contribute to cutting-edge projects and stay competitive in the job market.

4. Problem-solving capabilities: AI offers powerful tools and algorithms that can help engineers solve complex problems. By understanding AI techniques, engineering graduates can leverage these tools to analyze data, optimize designs, and make informed decisions.

5. Interdisciplinary collaboration: AI is a multidisciplinary field that requires collaboration between engineers, computer scientists, data scientists, and other professionals. By having knowledge of AI, engineering graduates can effectively collaborate with experts from different domains and contribute to interdisciplinary projects.

6. Ethical considerations: As AI continues to advance, ethical considerations become crucial. Engineering graduates need to understand the ethical implications of AI, such as bias, privacy, and transparency, to ensure responsible and ethical AI development and deployment.

Overall, AI is transforming the engineering landscape, and engineering graduates who pay attention to AI can seize opportunities, contribute to innovation, and stay relevant in the evolving job market.