What Generative AI Means for Business

An Executive’s Guide to Understanding, Implementing and Planning for the Future of GenAI

Business Leaders Face 3 New Sets of Expectations — and Generative AI Can Help

• Investors expect new sources of growth and better margins.
• Customers will leverage generative AI (GenAI) in their daily lives — and expect you to do the same.
• Employees will leave organizations where humans are doing work that generative AI could handle.

The main challenges for executives are identifying where and how generative AI fits into existing and future business and operating models, how to experiment productively with GenAI use cases, and how to prepare for the longer-term disruptions and opportunities resulting from GenAI trends.

Gartner Predictions for Generative AI

Before long, GenAI will greatly impact product development, customer experience, employee productivity and innovation. We predict that:

By 2025, 70% of enterprises will identify the sustainable and ethical use of AI among their top concerns.

By 2025, 35% of large organizations will have a chief AI officer who reports to the CEO or COO.

By 2025, the use of synthetic data will reduce the volume of real data needed for machine learning by 70%.

By 2025, 30% of outbound marketing messages from large organizations will be synthetically generated. That’s up from less than 2% in 2022.

Through 2026, despite all the advancements in AI, the impact on global jobs will be neutral — there will not be a net decrease or increase.

By 2030, AI could reduce global CO2 emissions by 5 to 15% and consume up to 3.5% of the world’s electricity.

By 2030, decisions made by AI agents without human oversight will cause $100 billion in losses from asset damage.

By 2033, AI solutions will result in more than half a billion net-new human jobs.

Reference: https://www.gartner.com/en/insights/generative-ai-for-business