AI Inequality: Why the Next Great Divergence is Also a Safety Crisis
Introduction
Artificial intelligence is often hailed as a democratiser of knowledge, opportunity and skill. It is set to improve diagnostics, personalised learning, and productivity to boost the economy, which can assist millions of people to leave poverty. However, this may be an incomplete picture. A report of the United Nations Development Programme in 2025 tells a more complex tale. The Next Great Divergence: Why AI May Widen Inequality Between Countries cautions that, unless acts are taken to intervene, AI will not alleviate inequality between countries but will instead concentrate benefits in already advantaged economies and increase risks in more vulnerable ones.
Two Gaps, One Crisis
AI is not going to create a level playing field: it has been injected into a world where there is unprecedented inequality. The report outlines two structural asymmetries that will influence the ways in which its effects manifest: a capability gap and a vulnerability gap.
Those countries that have high connectivity, skills, compute and regulation will be in a position to reap a greater portion of the AI dividend. Others will be exposed to greater risks of job losses, information exclusion, misinformation, and the indirect consequences of increased energy and water demands.
The centre of this transition is the Asia-Pacific region, that harbors a population of more than 55 per cent of the world. More than half of the global AI users are now located in the region, but the initial positions are quite different. Nations such as Singapore and South Korea are already spending a lot of money on AI infrastructure, with others still striving to offer basic broadband services. Two out of three individuals already use AI tools in certain high-income economies. In most countries with low incomes, the utilisation is lower. Such figures are important as they depict not only a gap in technology but also a structural difference in terms of who controls AI and who is controlled by the latter.
When Inequality Becomes a Trust Problem
Any trusted technological system is based on three tenets: transparency, fairness and accountability. AI inequality negatively impacts all three.
If governments implement imported AI systems in areas with limited technical capability, with limited transparency on their operation, their construction, and their biases. Citizens do not really trust when decision-making systems are black boxes and domestic institutions lack the know-how to question them.
Data exclusion also interferes with fairness. The AI systems trained with the datasets not sufficiently representative of the rural population, linguistic minorities, and women will generate poorer results in those groups systematically. Since South Asian women are much less likely to own a smartphone, this impacts their representation in digital data, and consequently in any AI system trained on such data.
Safety Risks Are Not Evenly Distributed
The lack of trust has a direct safety aspect. For example, those countries that have less robust information ecosystems have a greater exposure to AI-generated misinformation that can bias the discourse of the populace, alter elections, and cause violence. They also have the weakest capability of screening, tagging, or combating such content.
The same can be said about labour markets. The very same technologies that can speed up marginalisation and destabilise governance increase human insecurity, especially among employees in the informal economy with weak social security. The UNDP report points out that the exposure of female employment to disruption by AI is disproportionate to that of male employment, which further presents a gendered dimension in an already unequal situation.
Risks of infrastructure are skewed as well. Large AI systems may create disproportionately high energy and water demands on countries that host the data infrastructure without there being an equivalent economic payback. The environmental cost is local while profits are outsourced. Dangers of AI spread downwards, and the advantages go upwards.
The Governance Gap and Regulatory Arbitrage
Governance is perhaps the most important aspect. There are only a few states that presently have extensive AI regulation systems. This gives rise to a patchy landscape, in which safety standards differ dramatically and where companies have an incentive to install systems in jurisdictions that have weaker regulation.
The main reason is the lack of capability, as expressed by Philip Schellekens, chief economist of the UNDP in Asia and the Pacific, who says that those countries that invest in skills, computing power and well-run governance structures will gain. The rest will be left far behind.
This departure has its ramifications outside the nations. When users in other areas are subjected to widely different rates of safety and equity by the same international platforms, the concept of uniform digital norms would no longer be sustainable. Confidence in AI systems is lost not only locally but also on a global scale.
Way Forward
The UNDP report makes it clear that there is no inevitability of divergence. To avert it, however, it is necessary to consider AI governance as a development, rather than a technology problem.
The capacity to govern should be constructed and not presumed. This implies assisting countries in establishing regulatory systems, institutional capacity, and facilitating cross-border collaboration on standards. It can also imply considering some AI features as a public good, with common models and open standards that do not allow a few firms or states to become too powerful.
The UNDP articulates the problem in a simple manner: in the end, the world's people and not machines must decide on what technologies should be given priority and how to utilise them optimally.
Conclusion
AI inequality is often framed as an economic divergence story. But its implications run deeper. It reshapes who is protected, who is visible in data, and who has the power to challenge harmful outcomes. The risk is not just that some countries fall behind economically. It is that the global digital ecosystem fragments into zones of high trust and low trust, high protection and low protection. The choices made now will determine which path prevails. AI can reinforce existing divides or help bridge them.
But that outcome will not be decided by the technology itself. It will be decided by how societies choose to distribute access, power, and responsibility in the systems they build.
References
- https://www.undp.org/sites/g/files/zskgke326/files/2025-12/undp-rbap-the-next-great-divergence_1.pdf
- https://www.undp.org/asia-pacific/press-releases/ai-risks-sparking-new-era-divergence-development-gaps-between-countries-widen-undp-report-finds
- https://www.undp.org/asia-pacific/blog/next-great-divergence-how-ai-could-split-world-again-if-we-dont-intervene
- https://www.aljazeera.com/news/2025/12/2/ai-threatens-to-widen-inequality-among-states-un
- https://www.undp.org/asia-pacific/next-great-divergence
- https://www.eco-business.com/press-releases/ai-risks-spark-new-era-of-divergence-as-development-gaps-widen-undp-report/
Related Blogs
Executive Summary:
Amid the ongoing conflict between the United States, Israel, and Iran, a video circulating widely on social media claims to show American soldiers kneeling and surrendering to Iranian forces. In the clip, several soldiers appear to be sitting on their knees in front of armed personnel, creating the impression that they have been captured on the battlefield.
The video is being shared with the claim that the Iranian military has taken US soldiers prisoner during the war.
However, an research by the CyberPeace found that the claim is false. The viral clip is not authentic and has been generated using artificial intelligence. There is no credible evidence to support the claim that American soldiers have been captured by Iranian forces.
Claim
A Facebook user named “News Tick” shared the video on March 12, 2026, claiming that Iran had released footage of captured US soldiers. In the clip, the soldiers can be seen kneeling while armed personnel stand around them, giving the scene a highly dramatic appearance.
Fact Check
To verify the claim, we first searched the internet using relevant keywords. We found no credible reports from reputable news organizations confirming that US soldiers had been captured by Iran during the conflict. A closer examination of the video revealed several visual inconsistencies. The weapons carried by the soldiers appear unclear and oddly shaped. Additionally, the background looks unusually blurred and overly dramatic. The lighting and textures in the footage also appear artificial—common indicators of AI-generated visuals.
To confirm this suspicion, we analyzed the clip using multiple AI detection tools. The tool Hive Moderation indicated a 99% probability that the video was created using artificial intelligence.
Further analysis using Sightengine also suggested that the video was likely AI-generated, estimating an 80% probability of AI creation.
Conclusion
Our research shows that the viral video claiming to depict American soldiers surrendering and being captured by Iranian forces is fake. The footage has been generated using AI and does not represent a real incident.
Introduction
CyberPeace Chronicles is a one-stop for the latest edition of news, updates, and findings in global cyberspace. As we step into the cyberage, it is pertinent that we need to incorporate cybersecurity practices in our day-to-day activities. From laptops to automated homes and cars, we are all surrounded by technology in some form or another. Thus, with the increased dependency, we need to eradicate the scope of vulnerabilities and threats around us and create robust and sustainable safety mechanisms for us and future generations.
What, When and How?
- WIN-RAR Update: CVE-2023-33831, a serious vulnerability, was identified in WinRAR versions prior to 6.23 in April 2023. When users attempted to access seemingly harmless files inside ZIP archives, this vulnerability allowed attackers to run arbitrary code. Cybercriminals transmitted malware families like DarkMe, GuLoader, and Remcos RAT by taking advantage of this vulnerability. It is essential to update WinRAR to version 6.23 or later in order to protect your computer and your data. Follow the following steps to secure your device -
- Checking Your Current WinRAR Version
- Downloading the Latest WinRAR Version
- Installing the Updated WinRAR
- Completing the Installation
- Verifying the Update
- Cleaning Up
- Indonesian Hacker Groups Target Indian Digital Infrastructure: As India geared up to host the G20 delegation as part of the Leadership Summit, various reports pointed towards different forms and intensity-based cyber attacks on Indian organisations and digital infrastructure. Tech firms in India have been successful in tracing the origination of the attacks to be from Indonesia. It is believed that hacker groups backed by anti-India elements have been trying to target the digital resources of India. Organisations and central agencies like Computer Emergency Response Team (CERT-In), National Critical Information Infrastructure Protection Centre (NCIIPC), I4C (Indian Cybercrime Coordination Centre), Delhi Police, Intelligence Bureau (IB), Research and Analysis Wing (R&AW), National Investigation Agency (NIA) and Central Bureau of Investigation (CBI) have constantly been working in keeping the Digital interests of India safe and secure, and with the ongoing G20 summit, it is very pertinent to be mindful of potential threats prevailing to prepare counter tactics for the same.
- CLOP Ransomware: The CL0P ransomware is thought to have initially surfaced in 2019 and was developed by a cybercriminal organisation that spoke Russian. The threat actor FIN11 (also known as TA505 and Snakefly), who is notorious for being financially driven, is frequently connected to the CL0P ransomware, which had its roots at the beginning of 2019. By utilising this technique, CL0P has targeted businesses utilising the "Accellion FTA" file transfer appliance's vulnerable version. Accordingly, it has been asserted that the following vulnerabilities have been used to access victim data and maybe switch to victim networks. Numerous well-publicized attacks carried out by CL0P have had an impact on organisations all across the world. Especially for Managed File Transfer (MFT) programmes, the CL0P performers are well known for their talent in developing zero-day vulnerabilities. The gang went after Accellion File Transfer Appliance (FTA) devices in both 2020 and 2021, then early in 2023, they went after Fortran/Linoma GoAnywhere MFT servers, and then later in June, they went after MOVEit transfer deployments. Up to 500 organisations are thought to have been harmed by this aggressive operation. Some of the ways to mitigate the risk are as follows:
- Regular Software Updates: Updating programmes and systems helps prevent known security flaws that fraudsters frequently exploit.
- Employee Training: Employee training can significantly lower the likelihood of successful penetration by educating staff members about phishing scams and safe internet conduct.
- Network Segmentation: By separating networks and restricting lateral movement, a ransomware attack's potential effects can be reduced.
- Regular Data backups: Data backups can lessen the effects of encryption and deter payment by regularly backing up data and storing it offsite.
- Security solutions: Putting in place effective cybersecurity measures like firewalls, intrusion detection systems, and cutting-edge endpoint protection can greatly improve an organisation's defences.
- Increased scrutiny for SIM card vendors: As phishing and smishing scams are on the rise in India, the Telecom Regulatory Authority of India (TRAI) has repeatedly issued notifications and consultation papers to address this growing concern. Earlier this year, TRAI notified that promotional calling will not be continued from 10-digit personal numbers. Instead, companies will now have to take authorised 9-digit numbers for promotional calls and SMSs. Similarly, to increase the efficiency of the same, TRAI has laid down that all the SIM card vendors will now have to be verified again, and any discrepancy found against any of the vendors will lead to blacklisting and penal actions against the vendor.
Conclusion
In conclusion, the digital landscape in 2023 is rife with both opportunities and challenges. The recent discovery of a critical vulnerability in WinRAR underscores the importance of regularly updating software to protect against malicious attacks. It is imperative for users to follow the provided steps to secure their devices and safeguard their data. Furthermore, the cyber threat landscape continues to evolve, with Indonesian hacker groups targeting Indian digital infrastructure, particularly during significant events like the G20 summit. Indian organisations and cybersecurity agencies are working diligently to defend against these threats and ensure the security of digital assets. The emergence of ransomware attacks, exemplified by the CL0P ransomware, serves as a stark reminder of the need for robust cybersecurity measures. Regular software updates, employee training, network segmentation, data backups, and advanced security solutions are crucial components of a comprehensive defence strategy against ransomware and other cyber threats. Additionally, the Telecom Regulatory Authority of India's efforts to enhance security in the telecommunications sector, such as stricter verification of SIM card vendors, demonstrate a proactive approach to addressing the rising threat of phishing and smishing scams. In this dynamic digital landscape, staying informed and implementing proactive cybersecurity measures is essential for individuals, organisations, and nations to protect their digital assets and maintain a secure online environment. Vigilance, collaboration, and ongoing adaptation are key to meeting the challenges posed by cyber threats in 2023 and beyond.
Introduction
Your iPhone isn’t just a device: it’s a central hub for almost everything in your life. From personal photos and videos to sensitive data, it holds it all. You rely on it for essential services, from personal to official communications, sharing of information, banking and financial transactions, and more. With so much critical information stored on your device, protecting it from cyber threats becomes essential. This is where the iOS Lockdown Mode feature comes in as a digital bouncer to keep cyber crooks at bay.
Apple introduced the ‘lockdown’ mode in 2022. It is a new optional security feature and is available on iPhones, iPads, and Mac devices. It works as an extreme and optional protection mechanism for a certain segment of users who might be at a higher risk of being targeted by serious cyber threats and intrusions into their digital security. So people like journalists, activists, government officials, celebrities, cyber security professionals, law enforcement professionals, and lawyers etc are some of the intended beneficiaries of the feature. Sometimes the data on their devices can be highly confidential and it can cause a lot of disruption if leaked or compromised by cyber threats. Given how prevalent cyber attacks are in this day and age, the need for such a feature cannot be overstated. This feature aims at providing an additional firewall by limiting certain functions of the device and hence reducing the chances of the user being targeted in any digital attack.
How to Enable Lockdown Mode in Your iPhone
On your iPhone running on iOS 16 Developer Beta 3, you just need to go to Settings - Privacy and Security - Lockdown Mode. Tap on Turn on Lockdown Mode, and read all the information regarding the features that will be unavailable on your device if you go forward, and if you’re satisfied with the same all you have to do is scroll down and tap on Turn on Lockdown Mode. Your iPhone will get restarted with Lockdown Mode enabled.
Easy steps to enable lockdown mode are as follows:
- Open the Settings app.
- Tap Privacy & Security.
- Scroll down, tap Lockdown Mode, then tap Turn On Lockdown Mode.
How Lockdown Mode Protects You
Lockdown Mode is a security feature that prevents certain apps and features from functioning properly when enabled. For example, your device will not automatically connect to Wi-Fi networks without security and will disconnect from a non-secure network when Lockdown Mode is activated. Many other features may be affected because the system will prioritise security standards above the typical operational functions. Since lockdown mode restricts certain features and activities, one can exclude a particular app or website in Safari from being impacted and limited by restrictions. Only exclude trusted apps or websites if necessary.
References:
- https://support.apple.com/en-in/105120#:~:text=Tap%20Privacy%20%26%20Security.,then%20enter%20your%20device%20passcode
- https://www.business-standard.com/technology/tech-news/apple-lockdown-mode-what-is-it-and-how-it-prevents-spyware-attacks-124041200667_1.html
