Imagine standing at the threshold of the most transformative technological shift in a generation, only to find the door is locked and the key is priced beyond your reach. That is the stark reality for billions of people around the world as the artificial intelligence revolution accelerates. A recent report from the GSMA, the global mobile industry body, has sounded an urgent alarm: while AI promises to reshape economies, education, healthcare, and daily life, a huge portion of humanity risks being left behind simply because they cannot afford the device that serves as the entry ticket.
The numbers are staggering. According to the GSMA, 3.4 billion people remain offline even though they live in areas covered by mobile broadband networks. The infrastructure is there; the towers are built; the signals are ready. Yet the cost of a smartphone, the very tool needed to access these networks and the AI services running on them, has become an insurmountable barrier for the world's poorest populations.
The Widening Digital Divide in the Age of AI
For years, the digital divide has been understood as a gap between those with internet access and those without. But as AI becomes increasingly embedded in everyday applications, from voice assistants to educational platforms and telemedicine, that gap is transforming into something far more consequential: an AI divide. Those without smartphones are not just missing out on social media or email; they are being excluded from the next wave of economic opportunity and social advancement.
The GSMA report highlights a troubling trend. While the cost of mobile data has fallen significantly over the past decade, the price of the hardware needed to use that data has not followed the same downward trajectory. In fact, in many low- and middle-income countries, the cost of even a basic smartphone represents a significant portion of annual income. For someone earning a few dollars a day, a device that costs $50 or $100 is a luxury, not a necessity. And as manufacturers focus on higher-end models with better cameras, faster processors, and AI capabilities, the entry-level market is being squeezed.
Why Smartphone Costs Are Rising
Several factors are driving up the cost of smartphones, according to industry analysts. The global chip shortage that began during the pandemic disrupted supply chains and increased component prices. Even as that shortage has eased, the demand for more advanced semiconductors, particularly those optimized for AI processing, has kept prices elevated. Additionally, the push toward 5G technology has added complexity and cost to device manufacturing. While 5G offers faster speeds and lower latency, it requires more expensive modems and antennas, costs that are passed on to consumers.
Another factor is the business strategy of smartphone makers. Many companies have shifted their focus to mid-range and premium devices, where profit margins are higher. The result is fewer truly affordable options for budget-conscious consumers. In some regions, the used phone market has become a lifeline, but even refurbished devices can be out of reach for the poorest individuals. The GSMA report underscores that without intervention, this trend will continue, leaving billions on the wrong side of the digital divide.
The Consequences of Exclusion
The implications of this exclusion are profound. AI is not just a convenience; it is becoming a fundamental tool for accessing services, finding work, and participating in civic life. In many countries, government services, job applications, and educational resources are increasingly delivered through digital platforms. Those without smartphones are effectively barred from these opportunities. The GSMA report warns that the AI revolution could exacerbate existing inequalities, creating a world where the benefits of technology accrue to the already privileged while the poor fall further behind.
Consider the impact on education. AI-powered tutoring systems can personalize learning and provide support to students in remote areas. But if those students cannot afford a smartphone, they cannot access these tools. Similarly, in healthcare, AI-driven diagnostic apps can help bridge the gap in regions with few doctors. Yet without a device, patients cannot use them. The economic consequences are equally dire: smallholder farmers who could benefit from AI-based market information, weather forecasts, and crop advice are left out, reducing their productivity and income.
What Can Be Done to Bridge the Gap
Addressing this challenge requires a multi-pronged approach. The GSMA report calls for collaboration between governments, mobile operators, device manufacturers, and international organizations. One key recommendation is to stimulate the production and distribution of low-cost smartphones. This could involve tax incentives for manufacturers, subsidies for consumers, or innovative financing models such as pay-as-you-go schemes that allow people to pay for a device in small installments.
Another avenue is to promote the circular economy for smartphones. Extending the life of devices through repair programs, refurbishment, and resale can make them more affordable. Mobile operators could also play a role by bundling devices with data plans at subsidized rates. In some countries, such initiatives have already shown promise. For example, in India, the JioPhone initiative offered a low-cost 4G feature phone with affordable data plans, bringing millions online. Similar efforts could be replicated elsewhere.
Policymakers also have a role to play in ensuring that the AI revolution does not leave anyone behind. This includes investing in digital literacy programs so that people know how to use smartphones and the internet effectively. It also means addressing the broader issues of poverty and income inequality that make smartphones unaffordable in the first place. Ultimately, closing the digital divide is not just about technology; it is about social justice and economic fairness.
The Role of the Private Sector
Private companies also have a responsibility. Smartphone manufacturers could prioritize the development of ultra-low-cost devices, even if the profit margins are slim. The volume of sales could compensate for lower per-unit profits, and the long-term benefit would be a larger base of connected customers. Tech companies developing AI applications should also consider how to make their services accessible on low-end devices and in low-bandwidth environments. This might mean optimizing apps to work on older hardware or offering offline functionality.
Moreover, the tech industry could invest in open-source AI models that can run on cheaper hardware. By reducing the computational requirements of AI, it becomes possible to deliver AI services on budget smartphones without relying on cloud connectivity. This would lower the barrier to entry and ensure that more people can benefit from AI's potential.
Looking Ahead: A Call to Action
The GSMA report is a wake-up call. The AI revolution is not something that will happen in the distant future; it is happening now. Every day, new AI applications are being deployed in healthcare, agriculture, education, and finance. If billions of people are locked out of this revolution, the consequences will be felt not just by those individuals but by entire economies and societies. The global community cannot afford to ignore this issue.
The path forward requires urgent and coordinated action. Governments must create policies that encourage affordable device production and digital inclusion. Mobile operators must find ways to make data and devices more accessible. Device manufacturers must innovate to reduce costs without sacrificing quality. And the international community must provide support to the most vulnerable populations. The goal should be nothing less than ensuring that everyone, regardless of income or location, has the opportunity to participate in the AI-driven future.
As we stand on the brink of this technological transformation, the choice is clear: we can either build a future where the benefits of AI are shared by all, or we can allow a new form of inequality to take root. The cost of inaction is too high. The time to act is now.
Frequently Asked Questions
Why are so many people still offline despite mobile coverage?
The main barrier is the cost of smartphones. While mobile networks cover most of the world's population, many people cannot afford the devices needed to connect. Other factors include lack of digital literacy, limited relevant content, and the cost of data, but device affordability is the primary obstacle according to the GSMA report.
How does the smartphone cost issue affect the AI revolution?
AI services are predominantly accessed through smartphones and internet-connected devices. If a large portion of the population cannot afford these devices, they are excluded from AI benefits such as personalized education, telemedicine, and economic opportunities. This creates a new dimension of digital inequality that could widen existing social and economic gaps.
What are some potential solutions to make smartphones more affordable?
Solutions include government subsidies or tax incentives for low-cost devices, pay-as-you-go financing models, promoting the refurbished phone market, and encouraging manufacturers to produce ultra-budget smartphones. Mobile operators can also bundle devices with data plans to reduce upfront costs. International cooperation and investment in digital infrastructure are also crucial.
Which regions are most affected by the smartphone affordability gap?
Sub-Saharan Africa and parts of South Asia are among the most affected regions. In these areas, a large percentage of the population lives on less than $2 a day, making even the cheapest smartphones a significant expense. The GSMA report highlights that these regions have the highest numbers of people living within mobile broadband coverage but remaining offline.
Can older or feature phones access AI services?
Most AI services require a smartphone with internet connectivity and sufficient processing power. Feature phones, which are cheaper, typically lack the capability to run modern AI applications. Some initiatives are exploring lightweight AI that can work on low-end devices or via SMS, but these are still in early stages and not widely available.