AI opens a new front in the fight against unwanted calls to fixed lines
This report is available to those subscribed to the Fixed, TV and Convergence module.
Although the number of unwanted calls to fixed lines has been decreasing due to efforts from stakeholders (including operators, network and customer-premises equipment vendors and regulators), the emergence of AI, especially generative AI, could reverse this trend while also making consumers more vulnerable to scams. However, AI can also be used to tackle the scourge of unwanted calls. In this report, we examine the approach taken by key stakeholders in various countries, notably the UK and the US, highlighting some of the risks and opportunities in the struggle against unwanted calls.
Related research
Five ways fixed broadband operators are using AI
GSMA Intelligence has identified five AI use cases for fixed broadband operators that aim to enhance customer experience while reducing costs: AI for network optimisation, AI for fibre rollout, AI integrated into CPE, AI for sales and marketing, and AI for customer service.
Fixed broadband set for innovation and disruption: new developments and trends shaping the market
This in-depth report focuses on key market and technology developments and trends in the fixed broadband market and also includes historical and forecast data primarily covering the period from the end of 2024 to the end of 2030. It also features several operator case studies.
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.
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
Five ways fixed broadband operators are using AI
GSMA Intelligence has identified five AI use cases for fixed broadband operators that aim to enhance customer experience while reducing costs: AI for network optimisation, AI for fibre rollout, AI integrated into CPE, AI for sales and marketing, and AI for customer service.
Fixed broadband set for innovation and disruption: new developments and trends shaping the market
This in-depth report focuses on key market and technology developments and trends in the fixed broadband market and also includes historical and forecast data primarily covering the period from the end of 2024 to the end of 2030. It also features several operator case studies.
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.
- 200 reports a year
- 50 million data points
- Over 350 metrics