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June 10.2025
3 Minutes Read

Understanding Why Telcos Will Deduct USSD Charges From Your Airtime

Device showing USSD code for airtime charges on a desk.

Understanding the Impact of USSD Charges on Nigerians

Starting this June, a transformative guideline from the Nigerian Communications Commission (NCC) will change the way consumers pay for Unstructured Supplementary Service Data (USSD) services. Previously charged to bank accounts, this fee will now be deducted directly from mobile airtime balances. This significant shift marks a pivotal moment in a lengthy dispute between Nigerian telecom operators and banks, highlighting the complex financial landscape of digital services in Nigeria.

The Financial Landscape: A History of Disputes

The journey towards this new billing model has been fraught with tension. For years, telecom operators accused banks of failing to adequately manage USSD fees, resulting in a staggering accumulation of debt—over ₦160 billion—or about $106.67 million—in unpaid fees. The NCC's latest decision follows a series of failed attempts at establishing a clear revenue-sharing model between banks and telecom companies, leading to increasing frustration among service providers.

Direct Billing: What It Means for Consumers

At the heart of the NCC's directive is a move towards aligning consumer interests with service providers. For the first time, users will need to authorize each USSD transaction, significantly enhancing transparency in the billing process. This means that the ₦6.98 fee for a USSD session will be deducted from airtime only after consumer consent is provided, allowing telecom operators to maintain direct control over fee collection.

Operational Advantages of the New USSD Model

This new model offers multiple operational benefits for telecom operators. By shifting to direct airtime billing, companies can eliminate dependency on banks for fee settlements, thereby streamlining revenue collection and possibly reducing overhead costs related to debt recovery. Moreover, it may improve user experience by ensuring that charges are directly linked to the airtime used, making it easier for subscribers to understand their expenses.

The Customers' Reaction: Concerns and Expectations

The implementation of these changes has sparked mixed feelings among consumers. Some see the direct billing model as beneficial, favoring the increased transparency and control over charges. However, there are valid concerns regarding whether this system could lead to unexpected airtime deductions, especially among less tech-savvy users. As the rollout approaches, telecom companies must ensure that customers are adequately informed about the new processes to avoid confusion or frustration.

Future Predictions: Sustainability of the New Model

While the new USSD billing method aims to resolve long-standing financial issues, its long-term success will hinge on several factors. First, the level of consumer consent and understanding will play a critical role in its acceptance. If customers do not fully engage with the new consent process, issues of compliance could arise, impacting revenue growth for telecom operators.

Furthermore, it will be crucial for the NCC to monitor and ensure a seamless transition to this new model, continually addressing any concerns raised by users or service providers. Only through collaborative oversight can the potential pitfalls of this innovative billing technique be mitigated, allowing all stakeholders to benefit.

Concluding Thoughts: Why This Shift Matters

The transition to deducting USSD charges directly from airtime balances represents a significant shift in the Nigerian telecom landscape. By prioritizing consumer consent and creating a more transparent billing process, it could lay the groundwork for an improved relationship between users and service providers. As consumers prepare for this change, it remains vital for the industry to communicate openly and thoughtfully to foster trust and confidence among users.

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07.30.2025

How BON Combines AI and Traditional Chinese Medicine for Drug Discovery

Update Revolutionizing Drug Discovery with AI Bon Natural Life (Nasdaq: BON) is making headlines by launching an innovative AI-powered drug research and development initiative. This move is significant as it leverages the power of artificial intelligence in conjunction with the company's extensive library of Traditional Chinese Medicine (TCM) compounds. With nearly 20 years of experience, BON aims to accelerate the drug discovery process, enhancing its pharmaceutical operations through cutting-edge technology. The Integration of Traditional Wisdom and Modern Technology At the core of BON's strategy is the integration of TCM, which boasts a rich history of medicinal knowledge, with AI-driven analysis. Traditional Chinese Medicine emphasizes holistic approaches, often using plants and natural substances for treatment. By utilizing AI to sift through this extensive library, BON is poised to identify potential lead compounds much faster than conventional methods. CEO Yongwei Hu has expressed optimism, noting that this synergy could lead to breakthroughs in creating new, effective medications. Why AI in Drug Discovery Matters Drug discovery has historically been a time-consuming process involving extensive trial and error. However, with the advent of AI, researchers can analyze vast amounts of data at unprecedented speeds. AI algorithms can recognize complex patterns and predict which compounds may be most effective. This shift has the potential to lower research costs and expedite the development timeline, making it possible to bring drugs to market more efficiently. Future Predictions: The Role of AI in Healthcare The impact of AI on drug discovery is just the beginning. As technology continues to evolve, experts predict that AI will play an increasingly vital role in healthcare, from diagnostics to patient management. Companies that successfully harness AI are likely to enhance their competitive edge in the pharmaceutical industry. Moreover, this shift could revolutionize patient care, making treatment more personalized and effective. Cross-Disciplinary Collaboration For AI to flourish within the realm of drug discovery, interdisciplinary collaboration is crucial. Pharmacologists, data scientists, and traditional medicine practitioners must work together to ensure holistic success. This collaboration not only enriches the development process but also encourages diverse perspectives that can drive innovative solutions. Challenges and Considerations While the promise of AI in drug discovery is considerable, challenges abound. The integration of technology within established pharmaceutical practices can face resistance. Ethical considerations regarding data privacy and the transparency of algorithmic decision-making must also be addressed. The healthcare industry must proceed cautiously to build public trust while embracing these advancements. Exploring Potential Benefits for Patients Ultimately, the goal of this innovation at BON is to improve patient outcomes. By accelerating the drug discovery process and potentially harnessing new treatments derived from TCM, BON stands to make meaningful impacts on patient health. This approach may lead to more effective therapies for various conditions, aligning with the global push towards personalized medicine. As BON embarks on this AI-powered adventure in drug discovery, the implications are enormous. For those invested in the pharmaceutical industry and patient care, the fusion of TCM and technology might just signify the dawn of a new era in medicine.

07.30.2025

Sam Altman's Bunker Fears: What Tech Leaders See Ahead With AI

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