Privacy inertia: AI is part of the problem and the solution

Access this insight with a Premium plan. Contact our sales team to get started.
Report details
Privacy inertia: AI is part of the problem and the solution
The average consumer’s decision to trust a website or app is often based on convenience, typically without a full understanding of the implications of sharing their data. Although consumers appear to be concerned about their privacy online, only a minority are making satisfactory efforts to protect their data. The risks of sharing data – and the lack of action being taken by consumers – are made worse by the deployment of AI and machine-learning technologies, which are being used to automate data collection in an increasingly opaque manner. However, AI could also be used to help manage and protect consumer data, especially if the technology is placed in the hands of regulators and consumers.
Report details
Privacy inertia: AI is part of the problem and the solution
Related research
Sovereignty at MWC Barcelona 2026: the content consensus
For much of 2025 and early 2026, the development of sovereign AI and sovereign digital service strategies – including the role telecoms could play in supporting them – was regularly in the news. For operators, the strategies represent an opportunity to support national agendas, reassert their relevance in the digital economy and drive new revenues based on their position as highly regulated and trusted service providers. This analysis looks at the sovereign messaging conveyed in sessions at MWC from operators, vendors, regulators and cloud providers.
On-device AI: mobile network filler or saviour?
On-device AI is the next frontier for AI deployments in consumer and enterprise segments. Use cases include AI-based search and personal assistants, image analytics on a smartphone, AI-assisted driving and navigation in cars, industrial applications such as automated guided vehicles, and improved IoT analytics. This has implications for the device world and major tech companies whose business models depend on consumer time on the internet and digital platforms. It also matters for operators, given the ripple effect of AI-driven data traffic on mobile and fibre networks, and the direct revenue opportunity.
Reshaping networks: from a 5G core to an agentic core
Building on previous reports on the evolution of core networks in the 5G-Advanced and AI eras, this report explores what agentic AI means for the mobile core. For the mobile core, most key objectives are unchanged: building future-proof networks that can support a growing and diverse range of endpoints (users, devices and applications) while efficiently delivering intelligent services at scale – all underpinned by a monetisation imperative. But new dynamics have entered the space, from the rise of agentic AI to the sharp focus on sovereignty and mission-critical connectivity. As such, a fresh review of the evolution of mobile core networks is needed.
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
Sovereignty at MWC Barcelona 2026: the content consensus
For much of 2025 and early 2026, the development of sovereign AI and sovereign digital service strategies – including the role telecoms could play in supporting them – was regularly in the news. For operators, the strategies represent an opportunity to support national agendas, reassert their relevance in the digital economy and drive new revenues based on their position as highly regulated and trusted service providers. This analysis looks at the sovereign messaging conveyed in sessions at MWC from operators, vendors, regulators and cloud providers.
On-device AI: mobile network filler or saviour?
On-device AI is the next frontier for AI deployments in consumer and enterprise segments. Use cases include AI-based search and personal assistants, image analytics on a smartphone, AI-assisted driving and navigation in cars, industrial applications such as automated guided vehicles, and improved IoT analytics. This has implications for the device world and major tech companies whose business models depend on consumer time on the internet and digital platforms. It also matters for operators, given the ripple effect of AI-driven data traffic on mobile and fibre networks, and the direct revenue opportunity.
Reshaping networks: from a 5G core to an agentic core
Building on previous reports on the evolution of core networks in the 5G-Advanced and AI eras, this report explores what agentic AI means for the mobile core. For the mobile core, most key objectives are unchanged: building future-proof networks that can support a growing and diverse range of endpoints (users, devices and applications) while efficiently delivering intelligent services at scale – all underpinned by a monetisation imperative. But new dynamics have entered the space, from the rise of agentic AI to the sharp focus on sovereignty and mission-critical connectivity. As such, a fresh review of the evolution of mobile core networks is needed.
- 200 reports a year
- 50 million data points
- Over 350 metrics
