The State of Generative AI in the Enterprise
Now Decides Next
Explore findings from the Deloitte AI Institute's report tracking generative AI trends, business impacts, and challenges through 2024.
Generative AI: Optimism now. What’s next?
The defining time for generative AI is now. How we train, apply, govern, and invest in generative AI will determine its impact. The State of Generative AI in the Enterprise: Now decides next is a survey series tracking trends in use cases, sentiment, adoption, and challenges throughout 2024. Explore findings now, and stay tuned for what’s next.
Now decides next
Gain insight and follow trends from the leading edge of generative AI adoption.
Insights from the leading edge of generative AI adoption
In our Q1 report, we find that expectations of generative AI remain high, but many leaders are feeling pressure to quickly realize value while managing risks. Greatest areas of concern include governance, talent, and potential for economic inequality. Download our current findings, and check back for quarterly reports throughout 2024.
Q1 generative AI report
Explore Now decides next: Insights from the leading edge of generative AI adoption.
Trends we’re watching
For our initial pulse on generative AI, we surveyed more than 2,800 leaders from AI-fueled organizations that are currently piloting or implementing generative AI. Findings show that 2024 is likely to be a defining year for generative AI worldwide, with many respondents planning significant investment and showing optimism about the technology’s potential.
How is Generative AI generating value now?
Generative AI creates value by generating novel output of many kinds. Explore the modalities survey respondents are using now.
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Text 85% No surprise; text generation is widely used. See how. |
Examples include summarizing documents, writing customer-facing materials, and explaining complex topics in natural language. |
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Code 63% Code generation is being adopted rapidly. See where. |
Examples include generating code from natural language descriptions and autonomously maintaining code across different platforms. |
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Audio 55% Audio is making noise behind the scenes. See how. |
Examples include Generative AI-powered call centers and troubleshooting support for technicians in the field. |
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Image 53% Image tools are generating creativity and productivity. |
Examples include simulating how a product might look in a customer’s home and reconstructing an accident scene to assess insurance claims and liability. |
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Video 31% Video is taking off where volume is critical. |
Examples include autonomously generating marketing videos to showcase a new product and simulating dangerous scenarios for safety training. |
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3D Models 23% 3D is clearly a next dimension in use. See early applications. |
Examples include creating virtual renderings in an omniverse environment and AI-assisted prototyping and design in a purely virtual space. |
Download generative AI trends and impacts based on our Q1 survey of more than 2,800 leaders globally.
AI insights from across Deloitte
- Generative AI Dossier
- Generative AI and the future of work
- A CEO’s guide to envisioning the Generative AI enterprise
- Five actions for boards to consider in the era of Generative AI
- Generating value from Generative AI
- Trustworthy Gen AI
- Legal implications of Gen AI
- Generative AI hub
- AI Trends Outlook
- TMT predictions
- Tech Trends
