- 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.
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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
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.
Understand Generative AI
Explore what you need to know to get started — and move forward — with generative AI in your enterprise.
Implement Generative AI
To implement GenAI in your business, you must identify feasible use cases and make sure to remove roadblocks to capturing the value of this key driver of innovation and growth.
Get Foresight Into Generative AI
We should not treat AI as just a technology or a business case. AI is shaping our society and changing what it means to be human.
Generative AI for Real-World Business Productivity
In this seventh episode of Top of Mind, Gartner Chief of Research Chris Howard explores tangible and practical applications of GenAI that span industries and key business functions, including marketing, supply chain, finance and legal.
Unlock the Potential of Your Workforce With AI
Many of us have heard that thanks to AI, whole job categories may become irrelevant. But what if the more strategic approach is to determine how to use AI to make us more creative and productive?
The Gartner Hype Cycle, Generative AI and the Future of AI
In the fourth episode of Top of Mind, Gartner Chief of Research Chris Howard discusses where generative AI is on the Gartner Hype Cycle. He also addresses the significance and possibilities of AGI, the advancements made so far, and potential ethical and societal ramifications.
The AI Hype Cycle 2023: Generative AI Reaches the Peak of Inflated Expectations
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In the second installment of Behind the Hype, our four-part miniseries about the 2023 Gartner Hype Cycle™ for Artificial Intelligence, we climb to the peak of inflated expectations. Here, we discuss the most talked about — and possibly overhyped — technology of the year: generative AI (GenAI).