Generative AI makes progress but challenges remain in reliability and information provision
This report is available to those subscribed to the Digital Consumer module.
GSMA Intelligence's Chart of the Month is a visual way of telling an important story in the mobile and broader tech ecosystem. From the shape and size of markets to trends in consumer behaviour, we aim to provide food for thought through informative visuals designed to bring colour and clarity to complex issues facing the industry. This edition explores the levels of awareness and usage of generative AI, including reasons for dissatisfaction with the technology.
Related research
AI inference in practice: new intelligence from the hospital floor
Enterprises need to understand that where inferencing happens – whether at the user edge (device and enterprise/on-premises) or network edge (far edge, near edge and telco private cloud) – will have major implications for application performance, data sovereignty, resilience and energy efficiency. This analysis focuses on how running AI workloads on the enterprise edge (on-premises) can deliver improved outcomes.
MWC Shanghai 2025: a window into the future?
MWC Shanghai is in the books for another year, having attracted 45,000 visitors (from 12,500 companies), along with 400 exhibitors and partner groups. The numbers were up from the 2024 event by 13% and 92% respectively. This analysis highlights the key takeaways and implications from meetings, summits and announcements at the event – and in particular, whether the progress seen in China can be mapped to other regions.
AI inference in practice: choosing the right edge
As AI adoption grows, inferencing will accelerate, raising questions about workload processing and business benefits. This analysis examines how running AI workloads on the edge can deliver improved outcomes.
Authors
How to access this report
Annual subscription: Subscribe to our research modules for comprehensive access to more than 200 reports per year.
Enquire about subscriptionContact our research team
Get in touch with us to find out more about our research topics and analysis.
Contact our research teamMedia
To cite our research, please see our citation policy in our Terms of Use, or contact our Media team for more information.
Learn moreRelated research
AI inference in practice: new intelligence from the hospital floor
Enterprises need to understand that where inferencing happens – whether at the user edge (device and enterprise/on-premises) or network edge (far edge, near edge and telco private cloud) – will have major implications for application performance, data sovereignty, resilience and energy efficiency. This analysis focuses on how running AI workloads on the enterprise edge (on-premises) can deliver improved outcomes.
MWC Shanghai 2025: a window into the future?
MWC Shanghai is in the books for another year, having attracted 45,000 visitors (from 12,500 companies), along with 400 exhibitors and partner groups. The numbers were up from the 2024 event by 13% and 92% respectively. This analysis highlights the key takeaways and implications from meetings, summits and announcements at the event – and in particular, whether the progress seen in China can be mapped to other regions.
AI inference in practice: choosing the right edge
As AI adoption grows, inferencing will accelerate, raising questions about workload processing and business benefits. This analysis examines how running AI workloads on the edge can deliver improved outcomes.
- 200 reports a year
- 50 million data points
- Over 350 metrics