GSMA warned 810 million women in low- and middle-income countries (LMICs) still do not use mobile internet, flagging slow progress in closing the digital gender gap.

In its latest Mobile Gender Gap Report 2026, the industry association found that in comparison, 595 million men in the same markets are not connected to mobile internet. Indeed, women in LMICs were 12% less likely than men to use mobile internet, leaving 200 million fewer women online.

Smartphone ownership remains a major barrier, as women in LMICs are 13% less likely than men to own a smartphone, equivalent to around 210 million fewer female owners.

The report found awareness of mobile internet is high and almost equal among men and women, but adoption continues to be held back by handset affordability, literacy and digital skills gaps. Even after women are connected, usage remains restricted due to safety and security concerns, data affordability and poor connectivity.

GSMA explained women are disproportionately affected due to social norms and structural inequalities, including lower education and income.

The report found the divide most acute in Sub-Saharan Africa and South Asia, where mobile internet adoption stands at 26% and 25% respectively. The regions together also account for more than two-thirds of the 810 million unconnected women.

Women in rural areas continue to face a sharper divide, with the report stating the gender gap is typically two to three times wider outside urban areas. The disparity is particularly pronounced in Sub-Saharan Africa, South Asia, the Middle East and North Africa.

Looking ahead, the industry association estimated closing the mobile internet adoption gap in LMICs between 2023 and 2030 could add $1.3 trillion to GDP. Meanwhile, narrowing the wider mobile ownership and usage gap could generate $230 billion in additional revenue for the mobile industry.

It called for coordinated action on handset and data affordability, digital skills, safety, services designed for women and wider structural inequalities.

Claire Sibthorpe, head of digital inclusion at GSMA, said “much more is needed to address the persistent and significant gender gaps in mobile internet adoption and use”. She warned AI and other emerging technologies are “creating greater digital divides and inequities”, making digital inclusion increasingly urgent.

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Ericsson unveiled a software subscription designed to bring telco-grade AI models directly into basebands and radios to enable operators to boost 5G performance, automation and energy efficiency without adding new hardware.

According to the vendor, the software uses AI models designed to operate in real time within the RAN, supported by continuous learning and agentic AI capabilities for more advanced network operations. The company stated its telco-grade models are built for ultra-low latency inference, with a focus on reliability across diverse RAN environments.

The service works with Ericsson 5G Advanced across purpose-built and Cloud RAN platforms. Ericsson stated the software uses its silicon in radios and the latest generation of RAN compute to employ “the right AI model in the right part of the radio network”, while its AI capabilities can also be deployed across partner platforms.

The first features are now available, with more to follow later in the year. Initial functions include AI-powered scheduler for link adaptation, beamforming and multi-layer coordination.

Ericsson claimed the technology has been deployed in more than 15 trials worldwide, delivering up to 20% higher downlink throughput and up to 10% better spectral efficiency, alongside support for up to twice as many high-traffic users. It also said AI in RAN could achieve up to 95% coverage prediction accuracy.

Marten Lerner, head of networks strategy and product management at Ericsson, said the company is “redefining what’s possible in mobile networks by bringing powerful AI capabilities to service providers”, adding “we are taking a major step toward AI-native networks”.

Further comments from Ericsson partners SoftBank, Bell, SK Telecom and Rogers focused on the software’s potential benefits around real-time optimisation, network performance, energy savings, automation and support for emerging AI-driven services.

Joe Madden, principal analyst at Mobile Experts, added: “With a software upgrade, operators can squeeze more capacity, better observability, and more accurate location-based services out of the 5G network they bought years ago.”

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