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Sub-Saharan Africa Leads The World, Accounts For Over 1.1 Billion Registered Mobile Money Users in 2024 – Report

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The mobile money industry has reached new heights globally, as it now become a mainstream financial service in many countries across the world.

According to the 13th edition of “The State of The Industry Report on Mobile Money 2025”, by GSMA, it revealed that mobile money reached two significant milestones in 2024, surpassing two billion registered accounts and over half a billion active monthly users across the globe.

The report finds that transaction volumes and values for mobile money accounts experienced robust double-digit growth in 2024. Approximately 108 billion transactions, totaling over $1.68 trillion, were processed through mobile money accounts in 2024. Year-on-year, transaction volumes increased by 20%, while transaction values grew by 16%, up from a 13% increase in 2023.

Sub-Saharan Africa remains the epicenter for mobile money, with over two-thirds of registered accounts in 2024 coming from the region, while 20% of new accounts were from East Africa. There were over 1.1 billion registered accounts in Africa, twice as many as in 2020.

Compared to forecasts from 2019, the GSMA found that registered accounts grew faster than expected, as data from 2024 shows 75% more registered accounts in Sub-Saharan Africa than estimated. Growth in active 30-day accounts was driven by East Africa, which contributed 32% of new accounts in 2024, closely followed by Southeast Asia (28%).

West Africa and South Asia contributed 21% and  19%, respectively. Double-digit growth in active monthly accounts in 2024 confirmed that millions continue to rely on mobile money for their daily financial needs.

In 2024, the mobile money industry grew

nearly as quickly as in 2023. Both registered and active accounts continued to show double-digit growth. Registered accounts increased by 14% in  2024 while active 30-day accounts grew by 11%. Since 2020, the industry has consistently maintained growth rates above 10%.

GSMA revealed that the mobile money industry continues to drive financial inclusion, noting that in December 2024, 21% of adults used a mobile money account.

The Economic Impact of Mobile Money

The growing use of mobile money has continued to impact lives and livelihoods in countries where a service is offered. Rising mobile money adoption has also increased gross domestic product (GDP)  in major mobile money markets. Between 2013 and  2023, a 10-percentage point increase in mobile money adoption was found to have increased GDP  by 0.6% to 1.0%.

As of 2023, the total GDP of countries with a

mobile money service was more than $720 billion higher than it would have been without mobile money. This is equivalent to mobile money  increasing GDP by 1.7% at the end of 2023, based on data collected between

2013 and 2023. Year on year, mobile money’s contribution to  GDP in countries with a service grew from around  $650 billion in 2022 to about $720 billion in 2023, an increase of nearly 12%.

At a regional level, Sub-Saharan Africa saw a significant increase in mobile money’s contribution to GDP, from about  $150 billion in 2022 to $190 billion in 2023. At a sub-regional level, mobile money’s contribution  to GDP in both East and West Africa had risen

though its contribution to East Africa’s economy remains higher when compared to West Africa.

Data highlights that in Benin, Côte d’Ivoire, Ghana, Guinea, Guinea-Bissau, Senegal, and Liberia, mobile money contributed over 5% to the national GDP. In East Africa, similar contributions exceeding 5% were recorded in Kenya, Rwanda, Uganda, and Tanzania, underscoring the technology’s transformative role in these economies.

In contrast, mobile money’s GDP impact in other Sub-Saharan regions varies. Central African nations like Cameroon, Congo, and Gabon saw contributions ranging from 5% to 8%, reflecting moderate adoption. Southern Africa, where mobile money infrastructure is less developed, generally reported contributions below 5%.

As mobile money adoption continues to expand across the continent, its economic influence is likely to grow, potentially elevating GDP contributions in regions where penetration is currently limited.

A Piper Aerostar PA-60-601P Crashed in Germany

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A small plane, identified as a Piper Aerostar PA-60-601P, crashed at the Salzgitter steel plant in northern Germany on Sunday shortly after takeoff from Salzgitter-Drütte Airfield. The pilot and co-pilot, aged 55 and 56, were killed. The aircraft caught fire upon impact, leaving a “charred steel frame” between two factory halls. Authorities assume it was an accident, but the exact cause remains unclear. Around 90 emergency personnel responded to the scene.

The crash of the Piper Aerostar PA-60-601P at the Salzgitter steel plant on April 13, 2025, is still under investigation, and no official cause has been confirmed based on available information. The plane crashed shortly after takeoff from Salzgitter-Drütte Airfield (EDVS), impacting the Salzgitter steel plant. Both occupants (pilot and co-pilot, aged 55 and 56) died, and the aircraft was destroyed, catching fire on impact. Authorities suspect an accident, but no specific cause—such as mechanical failure, pilot error, or external factors—has been pinpointed. The investigation is ongoing, likely involving Germany’s Federal Bureau of Aircraft Accident Investigation. No detailed weather or flight data is available, but the crash occurred during the day, suggesting visibility was likely not a primary issue unless unexpected conditions (e.g., fog or wind shear) were present.

Potential Causes Based on Piper Aerostar History

The Piper PA-60-601P is a twin-engine, pressurized aircraft with a complex history of accidents. While we can’t speculate definitively on the Salzgitter crash, common causes of similar crashes involving this model. The Aerostar has a documented history of engine-related problems, particularly with its Lycoming IO-540 or TIO-540 engines. For example, a 1989 Los Angeles Times article noted the Aerostar’s higher-than-average accident rate, with some incidents linked to fuel delivery issues causing engine failure during takeoff—a critical phase like the Salzgitter crash. The 601P’s turbocharged engines require precise maintenance. Past crashes (e.g., a 1995 incident involving pilot Eduardo Mata) cited engine failure, though causes weren’t always identified.

Malfunctions in the Hartzell constant-speed propellers or flight control systems have been factors in other Aerostar crashes, though no evidence yet suggests this for Salzgitter. The Aerostar is known for being demanding to fly, especially during takeoff and climb, due to its high performance and unforgiving handling if mismanaged. A 1988 crash involving racer Al Holbert was attributed to a pilot-induced stall, possibly exacerbated by an open cabin door distracting the pilot. Historical data from Aviation Consumer (1989) suggests the Aerostar’s fatal accident rate (3.8–4.6 per 100,000 hours) is partly due to pilots underestimating its complexity, though the Salzgitter pilots’ experience levels are unknown.

Several Aerostar crashes (e.g., a 2016 incident in Georgia) involved running out of fuel due to inaccurate gauges or pilot oversight. While not confirmed for Salzgitter, the crash’s proximity to takeoff makes fuel mismanagement less likely unless a delivery issue (e.g., clogged lines) occurred. Rare but possible, as seen in other small plane crashes, though no reports indicate this here. Sudden wind shear, gusts, or turbulence near the airfield could destabilize a low-altitude climb, but no weather data for Salzgitter on April 13, 2025, confirms this. The steel plant’s industrial structures might suggest a collision risk, but reports indicate the crash occurred on plant grounds, not due to striking a specific obstacle. A 2004 Texas crash (N601BV) involved a Piper PA-60-601P with an outdated annual inspection, though mechanical issues weren’t ruled out.

Why No Definitive Cause Yet?

Crash investigations take months or years. The Salzgitter incident, just a day old as of April 14, 2025, lacks detailed public findings. Small planes like the Aerostar have multiple failure points, and distinguishing between pilot error, mechanical issues, or external factors requires meticulous analysis. Unlike commercial jets, general aviation aircraft often lack robust black boxes, relying on physical evidence and ground-based records.

The Piper Aerostar’s safety record is mixed. While praised for speed and performance, its fatal accident rate is higher than comparable twins like the Beech Baron (per 1989 Aviation Consumer data: 3.8 vs. 1.5 per 100,000 hours).  Without official reports, the Salzgitter crash’s cause remains speculative. Likely factors include mechanical failure (e.g., engine or fuel system), pilot error during takeoff, or an unforeseen environmental issue, based on the Aerostar’s history and crash dynamics. The BFU’s investigation will clarify these, but results may take time.

OpenAI Launches GPT 4.1 Series, Redefining Coding And Long-Context Capabilities

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OpenAI has unveiled a new lineup of GPT models, GPT-4.1, GPT-4.1 Mini, and GPT-4.1 nano, marking a significant advancement in AI capabilities across coding, instruction following, and long context comprehension.

These models outperform their predecessors, including GPT-4o and GPT-4o mini, offering improved performance, speed, and cost-efficiency.

GPT?4.1 delivers a remarkable 54.6% on SWE-bench Verified, outperforming GPT?4o by 21.4 percentage points and GPT?4.5 by 26.6. It also achieves 38.3% on Scale’s MultiChallenge benchmark for instruction following, reflecting a notable 10.5-point gain over GPT?4o. On long-context evaluation via video-MME, GPT?4.1 scored 72% in the no-subtitles category, setting a new benchmark for multimodal context understanding.

These models support up to 1 million tokens of context, with improved comprehension that allows developers to build powerful, real-world agents capable of solving complex tasks like software development, customer service resolution, and document analysis.

In addition to performance gains, GPT?4.1 mini introduces faster processing at 83% lower cost than GPT?4o, while still exceeding it in many benchmarks. GPT?4.1 nano, designed for ultra-low-latency use cases, stands out as OpenAI’s fastest and cheapest offering yet, ideal for autocompletion and classification, and scoring 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding—outpacing GPT?4o mini.

These enhancements make the GPT?4.1 family ideal for developers building smarter, more responsive AI systems. As GPT?4.1 becomes the new standard, OpenAI will deprecate GPT?4.5 Preview by July 14, 2025, citing better performance and efficiency.

In ChatGPT, many of the improvements in instruction following, coding, and intelligence have been gradually incorporated into the latest version? of GPT?4o, and we will continue to incorporate more with future releases.  GPT?4.5 was introduced as a research preview to explore and experiment with a large, compute-intensive model, and we’ve learned a lot from developer feedback.

GPT?4.1 is significantly better than GPT?4o at a variety of coding tasks, including genetically solving coding tasks, frontend coding, making fewer extraneous edits, following different formats reliably, ensuring consistent tool usage, and more. GPT?4.1 also substantially improves upon GPT?4o in frontend coding, and is capable of creating web apps that are more functional and aesthetically pleasing.

Notably, the launch of GPT?4.1, GPT?4.1 mini, and GPT?4.1 nano, each capable of processing up to 1 million tokens of context, a major leap from the previous 128,000 token limit in GPT?4o models. This extended context capability represents a substantial improvement in practical AI applications. To put it in perspective, 1 million tokens can cover more than eight full copies of the entire React codebase. This makes GPT?4.1 particularly suitable for use cases involving large code repositories or lengthy document collections, such as those in legal analysis, software development, customer support, and enterprise-level document processing.

OpenAI trained GPT?4.1 not only to handle the extended context but also to reliably extract relevant information and filter out distractions across both long and short inputs. This heightened ability to focus and comprehend vast amounts of data significantly boosts the model’s effectiveness in real-world tasks.

Beyond technical upgrades, GPT?4.1 represents a strategic response to the evolving needs of developers and enterprises. The model’s improvements in instruction following, coding accuracy and long-context comprehension unlock new potential for building intelligent, agentic systems that can execute complex tasks with greater independence and reliability.

With this release, OpenAI underscores its ongoing commitment to empowering developers with powerful tools and remains inspired by the innovation emerging from its community. The future of AI applications grows more promising—and accessible—with GPT?4.1.

Nigeria Unveils Draft Standards for Digital Public Infrastructure, Opens Call for Public Participation

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The National Information Technology Development Agency (NITDA) has officially released the Draft Technical Standards for Digital Public Infrastructure (DPI), marking a significant milestone in the country’s journey toward digital transformation.

In a statement issued by the agency, Nigerians have been invited to study the document and submit feedback by May 8, 2025, as part of a broader consultation process designed to strengthen Nigeria’s evolving digital ecosystem.

The move comes just weeks after the Federal Ministry of Communications, Innovation, and Digital Economy launched Nigeria’s Digital Public Infrastructure Framework on March 4, 2025. That framework laid the foundation for a unified approach to public service reform, emphasizing interoperability, inclusion, and digital efficiency across all levels of government.

NITDA said the draft technical standards are aimed at harmonizing how public infrastructure is developed, integrated, and maintained. They are expected to set the tone for how the Nigerian government deploys critical digital components such as identity systems, digital payments, and data exchange platforms. The standards also spell out the technical and governance requirements to ensure consistency, cybersecurity, and operational effectiveness of digital platforms across ministries, departments, and agencies.

Central to the strategy is the establishment of the Nigerian Digital Public Infrastructure Centre (Ng-DPIC), which will serve as the implementation arm of the initiative. The Centre, according to NITDA, will coordinate research, development, and capacity-building efforts, and function as the national hub for testing, integration, and scaling of DPI tools. Its mandate includes overseeing collaboration between government agencies, academia, and the private sector in deploying citizen-focused digital services.

The draft standards underscore the need for robust collaboration between public institutions and the private sector in developing what NITDA refers to as Digital Public Goods—open and accessible digital tools that can be adapted to provide inclusive services at scale. These standards are expected to eliminate siloed development and promote seamless interaction between platforms by focusing on interoperability. They are designed to encourage scalability, ensure system resilience, and introduce performance benchmarks for evaluating digital systems.

NITDA’s draft also stresses the importance of safeguarding citizen data and promoting platforms that comply with both Nigerian laws and international privacy standards. The standards advocate for the creation of inclusive and user-friendly platforms, ensuring they can be accessed by all demographics, including people with disabilities, those in rural areas, and other marginalized groups.

In addition, the framework lays out clear guidelines for governance and accountability. It defines regulatory expectations and aims to ensure transparency in the deployment and management of digital infrastructure. Part of the strategy is to encourage innovation by supporting the use of open-source technology and encouraging local developers to participate in building public-facing digital solutions.

To ensure quality and reliability, the standards provide a detailed approach to system testing and performance validation, which will be administered and overseen by the Ng-DPIC once it becomes operational. This will include methods for collecting and incorporating user feedback into system updates, allowing for a more adaptive, people-centered service design.

NITDA explained that the draft is the product of extensive consultation with local stakeholders and international partners. The agency said it studied best practices from leading countries that have implemented DPI frameworks and incorporated lessons tailored to Nigeria’s unique socioeconomic landscape. The standards, it noted, are not just aspirational but are meant to be pragmatic, enforceable, and responsive to the country’s developmental needs.

“This document aligns with global best practices and Nigeria’s ambition to harness digital technologies for inclusive national development,” the agency stated.

NITDA called on individuals, businesses, academia, civil society groups, and public institutions to download the document from its website and submit written comments to regulations@nitda.gov.ng before the consultation closes.

Industry experts have noted that if successfully implemented, the draft standards could position Nigeria as a regional leader in digital governance and e-service delivery. With a rising demand for transparency, faster service delivery, and stronger digital infrastructure, the framework offers the potential to unlock economic opportunities and improve public trust in government services.

Digital policy analysts have warned, however, that implementation will require sustained political will and adequate funding. They also pointed to past failures in harmonizing digital efforts across agencies as a cautionary tale. Nonetheless, the establishment of Ng-DPIC is seen as a potential game-changer in coordinating the country’s digital development efforts under a single, accountable entity.

Nigeria’s move to formalize standards for digital infrastructure comes at a critical time, as many countries are beginning to recognize DPI as an essential pillar of modern governance. Experts believe that building a national digital backbone is as critical as investing in roads, electricity, or education—especially in an era where access to digital identity and online payments determines access to services, welfare, and financial inclusivity.

Mantra’s OM Crashing 90% A Major Blow on RWA Projects

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Mantra’s OM token crashed ~90% on April 13, 2025, dropping from ~$6.30 to below $0.50, wiping out over $5 billion in market cap. MANTRA attributes the collapse to “reckless forced liquidations” by centralized exchanges during low-liquidity hours, denying insider selling. Co-founder John Mullin suggested one exchange’s sudden closure of positions without warning triggered the cascade. However, community skepticism persists, with some alleging insider dumps due to large pre-crash token deposits (e.g., 3.9M OM to OKX). No conclusive evidence confirms either narrative, and investigations are ongoing.

The sudden collapse, likened to Terra LUNA and FTX, severely dents trust in Mantra and the broader real-world asset (RWA) tokenization sector. Retail and institutional investors may hesitate to engage with similar projects, fearing volatility or mismanagement. Rebuilding credibility will require transparency, detailed post-mortems, and accountability from Mantra’s team. Mantra’s claim of “reckless forced liquidations” by exchanges highlights risks in centralized platforms’ discretionary powers. Liquidations during low-liquidity hours amplify price swings, raising questions about exchange negligence or intentional market positioning.

This could spark calls for stricter oversight or push users toward decentralized exchanges. As a Layer 1 blockchain for regulatory-compliant RWAs, Mantra’s crash may cast doubt on the stability of tokenized assets. Despite partnerships like the $1B DAMAC deal, the incident underscores vulnerabilities in tokenomics or liquidity management, potentially slowing institutional adoption of RWA projects. Allegations of insider selling, fueled by on-chain data showing large pre-crash token deposits e.g., 43.6M OM to exchanges, intensify distrust. Claims that the team controls ~90% of supply raise red flags about governance and centralization, prompting demands for clearer token vesting and distribution policies.

The crash triggered $68.86M in liquidations, with long positions hit hardest, reflecting over-leveraged bets. Technical indicators like RSI show OM as oversold, hinting at a possible short-term bounce, but sustained recovery depends on addressing structural issues. Without it, OM risks further declines toward $0.50 or lower. Accusations of market manipulation or insider trading could draw regulatory attention, especially given Mantra’s VARA license and institutional focus. Legal actions from affected investors may follow if evidence of misconduct emerges, complicating operations.

Mantra’s path forward hinges on transparent investigations, community engagement, and robust reforms to prevent recurrence. The crash serves as a cautionary tale for projects balancing innovation with market stability. Real-World Asset (RWA) tokenization is the process of converting physical or traditional financial assets into digital tokens on a blockchain. These tokens represent ownership, value, or rights to the underlying asset, enabling fractional ownership, increased liquidity, and broader access to markets. RWAs include tangible assets like real estate, art, or commodities (gold, oil) and intangible ones like bonds, stocks, or intellectual property. Traditionally, these assets are illiquid, costly to trade, or restricted to specific markets.

How Tokenization Works

An asset (e.g., a property worth $1M) is chosen for tokenization. Ownership is legally defined, often via a special-purpose vehicle (SPV) or smart contract, ensuring compliance with regulations. The asset’s value is divided into digital tokens on a blockchain (e.g., 1M tokens at $1 each for the property). Each token represents a fractional stake. Tokens are issued on a blockchain platform, like Mantra’s Layer 1, and can be traded on exchanges or DeFi platforms, often 24/7. Blockchain ensures transparent, tamper-proof records of ownership and transactions, reducing intermediaries. Illiquid assets like real estate become tradable, unlocking value.

Tokens lower barriers, letting retail investors buy stakes in high-value assets (e.g., $100 for a slice of property). Global markets open up, bypassing traditional gatekeepers like banks. Blockchain cuts costs and speeds up transactions by automating processes via smart contracts. Immutable records reduce fraud and enhance trust. RWAs must comply with local laws (e.g., securities regulations), which vary globally. Platforms like Mantra often seek licenses (e.g., VARA) to navigate this. Tokenized assets can face volatility, as seen in Mantra’s OM crash, if markets are thin or mismanaged.

Institutional trust in blockchain tech is growing but still limited by technical and regulatory hurdles. Projects may face scrutiny if token supply or governance is overly controlled, as alleged in Mantra’s case. Mantra, a Layer 1 blockchain, focuses on RWA tokenization for regulatory-compliant assets, targeting institutional and retail users. It aims to bridge traditional finance (TradFi) and DeFi by offering infrastructure for tokenized bonds, real estate, and more. Its OM token crash, however, highlights risks like market manipulation or liquidity mismanagement, which can undermine tokenized ecosystems.

RWA tokenization could democratize wealth, with forecasts suggesting $10T in tokenized assets by 2030. It blends TradFi’s stability with DeFi’s innovation, but incidents like Mantra’s crash show the need for robust tokenomics, transparency, and regulation to sustain growth.