Key Questions to Ask About Generative AI Before Diving into the Gene Pool

As generative AI plays an increasingly significant role in shaping business decisions and reshaping customer relationships, leaders must grasp the potential. This means use cases, and risks associated with AI. The good, the bad, and the ugly. Questions to Ask About Generative AI gene pool. The journey begins with asking pertinent questions. Are you feeling overwhelmed by generative AI yet?

The multitude of questions that businesses need to address regarding AI—covering technology, skills, privacy, data, and organizational requirements, among others—can be seemingly endless. Knowing where to start and identifying the most crucial AI-related questions before jumping into implementation can be challenging. But it is totally worth the time.

“Many organizations are venturing into AI for the first time. They are transitioning from predictive AI, machine learning, or deep learning to explore the next generation of AI for elevating productivity.”
Marc Benioff, CEO of Salesforce

While the demand and potential of AI are substantial, so are the associated risks. To assist in navigating this landscape, here’s a snapshot:

Employee View:

56% of workers in a recent survey anticipate that generative AI (gen AI) will revolutionize their roles.
65% believe gen AI will enable them to focus on more strategic work.
Workers envision that generative AI could save them five hours a week.

Exec Summary:

Gen AI is projected to contribute up to $4.4 trillion annually to the global economy.
75% of the potential value from gen AI is concentrated in four functions: customer operations, marketing and sales, software engineering, and R&D.
Gen AI, coupled with other automation technologies, has the potential to annually add up to 3.3 percentage points to productivity growth, necessitating support for employees throughout the process.

Your Next Move:

Ensure your AI technology aligns with company guidelines and industry regulations.
Develop a strategic plan with specific use cases.
Pose critical questions about AI, starting with inquiries about the quality of your data, establishing trust, the need for a company reorganization around AI, possessing the right skills, and understanding essential generative AI terminology to actively engage in the conversation.

By Tectonic’s Marketing Consultant, Shannan Hearne