Humans working alongside AI have the potential to outperform those who rely solely on human capabilities. This is because AI can enhance and augment human capabilities in various ways.

Firstly, AI can process and analyze vast amounts of data at a speed that humans cannot match. For example, in the field of healthcare, AI algorithms can quickly analyze medical records, research papers, and clinical trial data to identify patterns and make accurate diagnoses. This ability to rapidly process and analyze large datasets can significantly improve the efficiency and effectiveness of decision-making processes.

Additionally, AI can automate repetitive and mundane tasks, freeing up human workers to focus on more complex and creative aspects of their work. For instance, in manufacturing, AI-powered robots can handle repetitive assembly line tasks, while human workers can focus on tasks that require problem-solving skills or creativity. This collaboration between humans and AI can lead to increased productivity and innovation.

Moreover, AI can provide valuable insights and recommendations based on its analysis of data. For instance, in finance, AI algorithms can analyze market trends, customer behavior, and risk factors to provide personalized investment advice. This combination of human expertise and AI-powered insights can lead to more informed decision-making and better outcomes.

However, it is important to note that the success of humans working alongside AI depends on effective collaboration and a clear understanding of each other's strengths and limitations. Humans need to have a deep understanding of AI algorithms and their underlying assumptions to ensure that the AI systems are used appropriately and ethically.

In conclusion, humans working alongside AI have the potential to outperform those who rely solely on human capabilities. The combination of human skills, creativity, and intuition with AI's data processing power, automation capabilities, and analytical insights can lead to enhanced productivity, efficiency, and innovation across various domains.