We're launching a program called 'Everyday AI' to train all employees on how to leverage AI tools for personal productivity gains.

We are getting our organization AI-ready by establishing the necessary infrastructure and data governance, while experimenting with productivity tools like chatbots.

The future of AI in enterprises will likely involve a mix of homegrown algorithms for unique applications and external solutions for standard operational needs. The opportunity lies in developing infrastructure and developer tools that enable internal IT or AI teams to operate efficiently and create tailored solutions for their businesses.

Most AI applications in businesses will come from external software providers rather than being built in-house, as many functions are considered context rather than core to the business.

Outsource tasks that can be handled by AI, such as administrative work or data collection. AI can now perform tasks that were traditionally outsourced to human workers, enhancing efficiency and productivity.

As AI evolves, it will provide companies with greater leverage, allowing them to operate more efficiently and create new opportunities for innovation.

AI will enhance productivity across almost every industry by making predictions from data more effectively than previous methods, leading to significant increases in efficiency.

AI should enhance the productivity of existing employees, allowing them to focus on higher-value tasks rather than being replaced.

New AI models are unlocking startup opportunities in fields like engineering, where they can significantly improve productivity and innovation.