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Geregu Power Records 71% Profit Surge, Highlighting the Untapped Potential in Nigeria’s Power Sector

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Geregu Power Plc, Nigeria’s first publicly listed electricity generation company, has reported a record-breaking 71% increase in profit after tax to N27.4 billion for the 2024 financial year, marking its fifth consecutive year of profitability.

This growth was primarily driven by a 65.3% surge in revenue to N137.1 billion, the highest the company has ever declared. The strong financial performance underscores the enormous profitability of Nigeria’s power sector, despite the chronic electricity shortages that continue to affect the majority of the population.

Nigeria, Africa’s fourth-largest economy and most populous country continues to battle a power deficit that has stifled economic growth for decades. With an estimated population of over 200 million, a staggering 85 million Nigerians—nearly 43% of the population—lack access to electricity, according to the World Bank. For those who have access, supply remains unreliable, with frequent blackouts and grid collapse being common occurrences. This leaves a massive gap in the market, one that companies like Geregu Power have positioned themselves to exploit profitably.

Geregu Power has not only remained profitable but has steadily grown its earnings yearly, proving that the sector remains lucrative for those who can navigate the landscape effectively. The company’s total assets surged to N243.7 billion, an increase of 33.7% compared to the previous year, indicating a continuous expansion in its power generation capacity.

A deeper look at Geregu Power’s revenue breakdown shows that energy sales rose by 69% to N87.4 billion, while capacity charges increased by 59.4% to N49.6 billion. These figures suggest a rising demand for electricity in Nigeria, and more importantly, that power companies operating within the sector can generate significant earnings if they have the capacity to meet this demand.

However, rising costs affected the company’s operating profit margins, which declined slightly from 51.3% to 42.6%, reflecting the broader impact of inflation on operational expenses.

One major challenge in Nigeria’s power industry remains the issue of non-payment and debt accumulation by government-backed agencies like the Nigerian Bulk Electricity Trading (NBET) Plc. Geregu Power’s impairment charges soared to N9 billion, a sharp contrast to the N986 million write-back recorded in 2023. Sources within the company indicate that the impairment relates to outstanding payments from NBET. Some analysts argue that if impairment charges were kept at industry averages of around 6%, Geregu Power’s profit could have been as high as N50 billion.

The company also reduced its external debt burden, repaying N17.6 billion in bonds and borrowings, while also taking on an additional N9.7 billion in financing to support expansion efforts. Investments in plant capacity were evident as the company spent N42 billion on assets under construction, indicating that it is actively scaling up to generate more power in the coming years.

Geregu Power’s profitability has also translated into higher returns for investors, as it announced an increase in dividend payments to N21.25 billion, the first dividend hike since its listing in 2023. Previously, the company had maintained an annual dividend of N20 billion, making this increase a sign of confidence in its continued financial strength.

However, the profitability of Geregu Power highlights a stark paradox in Nigeria’s electricity industry: while the sector remains highly lucrative for companies, the vast majority of Nigerians continue to struggle with access to reliable power. Nigeria currently generates between 4,000 to 5,500 megawatts (MW) of electricity, far below the estimated 30,000 MW needed to power the country’s homes and industries effectively. The gap between supply and demand means that businesses and households rely heavily on alternative sources of energy such as diesel generators, solar power, and inverters, making electricity an expensive commodity.

Despite the enormous market opportunity, Nigeria’s power sector continues to face structural bottlenecks. The transmission and distribution networks are largely inefficient, with outdated infrastructure that struggles to handle even the current low generation levels.

The sector is also plagued by policy inconsistencies, liquidity constraints, and regulatory challenges, making large-scale investments risky. However, companies like Geregu Power have managed to leverage these inefficiencies to their advantage, filling the power gap and reaping substantial financial rewards.

However, energy analysts believe that the success of Geregu Power is a strong indicator that Nigeria’s power sector is not only viable but capable of delivering exceptional returns for investors willing to navigate its challenges.

Microsoft Incorporates DeepSeek Into Its Azure Cloud and Github, Expanding AI Offerings

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In a move that signals a shift in its artificial intelligence strategy, Microsoft has made Chinese startup DeepSeek’s R1 AI model available on its Azure cloud platform and GitHub, the company announced on Wednesday.

The integration of DeepSeek R1 into Microsoft’s ecosystem marks an expansion of the tech giant’s AI offerings as it continues to diversify beyond OpenAI’s ChatGPT, a model it has heavily invested in but now seeks to reduce dependence on.

DeepSeek’s rise has been unprecedented. Just last week, the company launched a free AI assistant that it claims operates with less data and at a fraction of the cost of existing services. By Monday, the assistant had surpassed OpenAI’s ChatGPT in downloads on Apple’s App Store, triggering anxiety among investors and spurring a competitive response from AI rivals.

“This rapid accessibility—once unimaginable just months ago—is central to our vision for Azure AI Foundry: bringing the best AI models together in one place to accelerate innovation and unlock new possibilities for enterprises worldwide,” Microsoft said.

OpenAI CEO Sam Altman reacted swiftly, announcing that the company would “pull up some releases,” which materialized on Tuesday with the launch of a specialized ChatGPT model tailored for U.S. government agencies. Meanwhile, China’s Alibaba Group unveiled an upgraded version of its Qwen 2.5 AI model on Wednesday, despite the unusual timing—coinciding with the first day of the Lunar New Year.

DeepSeek R1 will now be available in Microsoft’s Azure model catalog, which already features over 1,800 AI models, catering to a broad range of developers and enterprises. Additionally, Microsoft confirmed that users will soon be able to run the R1 model locally on their Copilot+ PCs, a move that addresses growing concerns over data privacy and AI dependence on cloud services.

“We are committed to enabling customers to build production-ready AI applications quickly while maintaining the highest levels of safety and security. DeepSeek R1 has undergone rigorous red teaming and safety evaluations, including automated assessments of model behavior and extensive security reviews to mitigate potential risks,” the company said.

The move is part of Microsoft’s broader effort to diversify its AI offerings and reduce its reliance on OpenAI, the creator of ChatGPT, which has been deeply integrated into Microsoft’s AI-powered Copilot for Microsoft 365. Last month, Reuters reported that Microsoft has been working on adding both internal and third-party AI models to its ecosystem, ensuring a more diverse and competitive AI landscape within its products.

However, DeepSeek’s integration is not without controversy. The Chinese AI startup has acknowledged that it stores user information in servers located in China, a factor that could prove to be a major hurdle for its adoption in the United States, given increasing scrutiny over data security and Chinese tech influence in Western markets.

Even as Microsoft expands its AI model catalog, concerns over potential intellectual property violations are mounting. On Tuesday, Bloomberg News reported that Microsoft and OpenAI are investigating whether data output from OpenAI’s technology was obtained in an unauthorized manner by a group linked to DeepSeek. If confirmed, such a breach could raise serious questions about AI ethics, data security, and competitive practices in the industry.

The rapid success of DeepSeek has undoubtedly shaken the AI industry, with major players scrambling to defend their market positions. OpenAI’s swift response with a government-focused ChatGPT model underscores the pressure it faces from emerging competitors, particularly in light of DeepSeek’s rapid rise in user adoption.

Meanwhile, Alibaba’s decision to unveil a new version of its Qwen 2.5 AI model—despite it being the first day of the Lunar New Year—suggests that Chinese tech firms are also feeling the urgency to solidify their standing in the AI race.

What This Means for the AI Market

Microsoft’s decision to integrate DeepSeek’s AI model is seen as an indication of a widening AI battlefield, where multiple players—ranging from OpenAI and DeepSeek to Google’s Gemini and Alibaba’s Qwen—are aggressively competing for market share.

Analysts note that this move is for Microsoft, a hedging strategy that ensures its AI offerings are not entirely dependent on OpenAI while also providing alternatives to customers who may be wary of OpenAI’s dominance.

However, DeepSeek’s Chinese origins and data storage policies are expected to attract regulatory scrutiny, particularly in the United States and Europe, where lawmakers have expressed concerns over data security risks tied to Chinese tech firms.

Building the Future of AI Empowerment in the Workplace

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In my previous article, The Future of AI – People and Businesses, I discussed a transformative idea: shifting from centralized AI systems owned by businesses to personalized AI assistants owned and managed by employees. This concept promises to redefine the relationship between businesses and their workforce, offering cost efficiency, scalability, and innovation while empowering individuals to take control of their productivity.

But how do we bring this vision to life? Creating a framework where employees can deploy their own AI assistants requires thoughtful planning, innovative technology, and a clear structure. Without diving into the proprietary methods or revealing too much, let me sketch out a roadmap that outlines how businesses and individuals can make this leap.

  1. The Foundation: Building a Marketplace for AI Tools

The first step is to create an ecosystem where employees can easily access and manage their own AI assistants. This means designing a marketplace for AI services, where tools, training modules, and compute resources are readily available.

Think of it as a blend of an app store and a professional tool repository. Employees would log in to purchase compute power, pre-trained AI models, or skill-specific training datasets. The marketplace should feature:

  • Pre-configured AI Assistants: For employees who want to hit the ground running with ready-to-use tools tailored to their job functions.
  • Customizable Training Modules: Allowing users to teach their AI specific skills, like automating reports, analyzing trends, or managing communication.
  • Pay-as-You-Go Compute Credits: Employees can pay only for the resources they need, ensuring cost-effectiveness.

This approach decentralizes AI while ensuring everyone has access to the same baseline tools, leveling the playing field across an organization.

  1. User-Friendly AI Deployment

One of the biggest barriers to this shift is technical complexity. For this vision to work, employees need simple and intuitive interfaces for managing their AI assistants. The process should involve:

  1. Seamless Onboarding: A step-by-step guide for setting up an AI assistant, with templates for different roles (e.g., marketing, finance, HR).
  2. Automated Training: Employees answer pre-designed prompts or upload relevant data to teach their AI. The system does the heavy lifting—fine-tuning models, optimizing algorithms, and deploying results.
  3. Integration with Workflows: AI assistants should integrate with existing tools like email, project management software, and CRMs, so employees don’t need to overhaul their workflows.

The goal is to eliminate the need for technical expertise while providing robust customization options for power users.

  1. Scalable Infrastructure for Compute Power

Decentralized AI requires a scalable infrastructure that ensures employees can deploy and manage their assistants without overloading local resources. This is where cloud-based compute services come in.

A business can offer a centralized compute hub (hosted on platforms (like AWS or Google Cloud, Huawei cloud, Alibaba cloud or Microsoft Azure) where employees rent processing power for their AI assistants. This infrastructure should include:

  • Dynamic Resource Allocation: Compute resources scale up or down based on the employee’s needs, ensuring no one pays for unused capacity.
  • Real-Time Monitoring: Employees can track usage and costs through dashboards, ensuring transparency and efficiency.
  • Secure Data Pipelines: Protecting both the company’s and employees’ data during AI training and deployment is non-negotiable.

By adopting cloud solutions, businesses minimize the need for local hardware while enabling employees to access high-performance resources from anywhere.

  1. Training and Education for Employees

Not everyone is an AI expert, and that’s okay. To make this model work, businesses need to invest in AI literacy and training programs. These programs would:

  • Explain the basics of how AI assistants work.
  • Teach employees how to train, deploy, and maintain their assistants.
  • Emphasize ethical and secure use of AI in the workplace.

For example, employees could participate in interactive workshops or access self-paced online courses. The goal is to demystify AI, making it approachable for users of all skill levels.

  1. Incentivizing the Shift

To encourage adoption, businesses can offer subsidies or allowances for employees to cover the initial costs of setting up their AI assistants. Similar to how some companies reimburse internet or home office expenses, businesses could provide:

  • Stipends for AI Tools: A set amount employees can use to purchase training modules, compute power, or premium features.
  • Performance Bonuses: Rewards for employees whose AI-assisted workflows lead to measurable productivity improvements.

This approach ensures that employees see the value in investing in their AI assistants while also aligning their goals with the company’s overall objectives.

  1. Encouraging Collaboration and Innovation

When employees deploy their own AI assistants, they aren’t just optimizing their work—they’re also experimenting with new ideas and approaches. To harness this innovation, businesses can:

  • Create forums or communities where employees share best practices, templates, and success stories.
  • Launch innovation challenges, where employees use their AI assistants to tackle specific business problems, with rewards for the best solutions.
  • Host cross-departmental workshops to brainstorm ways AI assistants can improve collaboration across teams.

This creates a feedback loop where employees continuously improve their AI tools while contributing to the organization’s collective knowledge base.

  1. Maintaining Security and Compliance

Decentralizing AI comes with its risks, especially when employees are working with sensitive data. To mitigate these risks, businesses must implement:

  • Strict Privacy Policies: Employees must understand what data their AI assistants can and cannot process.
  • Robust Security Measures: End-to-end encryption for all data transfers, along with secure cloud storage.
  • Regular Audits: Routine checks to ensure AI tools comply with company policies and regulatory requirements.

This creates a balance between employee empowerment and organizational control, ensuring the system is both innovative and safe.

The Path Forward

As exciting as this vision is, it’s important to acknowledge that this approach requires a cultural shift. Businesses need to trust their employees to manage their own AI tools responsibly, while employees must embrace the opportunity to take ownership of their productivity.

In my previous article, I described this model as a symbiosis between people and businesses. Here, I’ve outlined a high-level roadmap for how this future could be achieved. The key is to balance decentralization with accessibility, ensuring that both businesses and employees benefit from the transformative power of AI.

The future of AI isn’t just about technology—it’s about creating systems that empower individuals while driving organizational success. The journey begins with bold ideas, thoughtful planning, and a shared commitment to innovation. If we get this right, we’ll usher in a new era where AI isn’t just a tool, but a trusted partner in our work and lives.

The Tesla’s Challenge in the Trump Era

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The car business of Tesla will see challenges over the next few quarters even though the software, battery storage, carbon credit and robotics arm may reduce the obvious consolidated financial paralysis. But no matter how you see it, Tesla, which has already been beaten, using the number of cars sold, by China’s BYD has a challenging future: “Tesla’s fourth-quarter earnings for 2024 painted a grim picture of the company’s financial health. The automaker reported a 70% drop in net income, earning $2.3 billion in profit compared to the $7.1 billion recorded in the same quarter the previous year.”

First, Elon Musk’s politics in Europe will affect the business. There are reports that some people are touching Tesla cars as he gets deeper into European politics. Those politicians will act. In the United States, Musk has scored many own-goals. Without California, we may not have Tesla the way we have it today. Yes, California has pushed for regulations and credits which benefitted Tesla. As Musk battles those Dems politicians and shifts to Texas where driving EV is not that fashionable, watch some numbers.

Then the big one: who wants to waste money on EV when Trump will make fossil fuels an American right? Yes, expect drops in prices of fossil fuel, thereby making petrol cars cheaper to operate and maintain. Those “Dems” environmental policies have benefitted Tesla, and Trump is rolling them back at scale. The more those regulations are removed, the cheaper would making some fossil-anchored cars, and the more not many will like to spend more for EVs.

Tesla expects a “return to growth” in its auto business but posted an 8% drop in revenue from its electric vehicles for the fourth quarter. Overall revenue came in below expectations, bolstered by other businesses such as energy storage. Operating income fell 23% year over year as Tesla’s margins narrowed. The company is “on track” to deliver “more affordable” cars in 2025, and CEO Elon Musk said it plans a June rollout of unsupervised “Full Self-Driving” robotaxis in Austin, Texas. – LinkedIn News

Comment on Feed

Comment: Sounds like Market is not buying your analysis for now. Tesla price actually jumped yesterday after earnings announcement and retreated slightly this am. Anyone who sold At-The-Money (ATM) Iron Condor yesterday could have made some nice bucks today.

My Response: Actually, I did not say that Tesla’s market cap will drop. I am simply saying that its car selling business will drop but that will be masked because it is growing other areas. But over time, you will see a crack: “The car business of Tesla will see challenges over the next few quarters even though the software, battery storage, carbon credit and robotics arm may reduce the obvious consolidated financial paralysis.” So, this is not for day traders, this is for those who put their brains in trading by looking at the future. If Tesla cannot sell cars, most other things will fade over time.

Tesla Recorded 70% Earnings Decline in Q4 As Trump’s Anti-Green Policies Threaten Growth

Commodification of Ganusi

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Nigerian content creators often draw inspiration from socio-cultural and political statements made in their physical environment, shaping their content around these narratives. This is unsurprising, as they are integral members of society, reflecting and analyzing public discourse, whether consciously or unconsciously, through statements made by influential figures and individuals with high social standing.

In the previous analysis, our analyst highlighted key insights from King Wasiu Ayinde Marshall’s recent statement about uninvited Islamic clerics attending his mother’s burial. In this piece, we explore how content creators have leveraged the statement, continuously shaping various narratives around it.

Based on the series of reactions to the statement and the creators’ creativity in generating various multimedia content, our analyst observes that Nigeria’s digital landscape has once again demonstrated its ability to transform cultural moments into monetizable content, as seen in the reactions to King Wasiu Ayinde’s controversial Ganusi statement. This incident, according to our analyst, after analyzing a series of content, has evolved into a content goldmine for Nigerian creators, shaping public discourse across various digital platforms.

The numerical data from Facebook posts indicate that a higher follower count does not necessarily guarantee higher engagement. For instance, an account with 289,000 followers garnered 2,700 likes and 914 shares, demonstrating the power of compelling content over sheer audience size. Similarly, an account with 1.3 million followers generated fewer engagements than expected, highlighting that audience size alone does not determine virality [see Exhibit 1].

Exhibit 1: Select text-based content on Facebook

Source: Facebook’s posts of Nigerian content creators, 2025; Infoprations Analysis, 2025

Analyzing the video engagement data further reveals how digital platforms facilitate the commodification of cultural controversies [see Exhibit 2]. The Gossip & Rumors Space page amassed an astonishing 1.1 million views and 29,000 likes, far outpacing other pages covering the Ganusi debate. This suggests that sensationalism and entertainment-oriented framing play a crucial role in audience engagement with digital content.

Within-Script: Critical Analysis of Video Post Reactions

1. View Count as a Measure of Content Reach

View count is a key indicator of how widely a video has circulated.

  • Gossip & Rumors Space leads with 1.1 million views, significantly outperforming all other posts. This suggests that the platform either has a strong existing audience or that the content was widely shared due to its controversial nature.
  • Babaalado Backup PG follows with 135,000 views, indicating substantial reach, albeit far behind the top performer.
  • Láyí Àk??ju TV (87,000 views) and Yorubawood Community 1 (59,000 views) also achieved moderate reach, showing some traction within specific audience segments.
  • The least viewed post, Ganu si by Chief Tafseer of Ilorin (219 views), suggests minimal interest, poor dissemination, or an audience mismatch for the content.
2. Like-to-View Ratio: Measuring Audience Approval

While views indicate reach, likes help measure audience appreciation.

  • Gossip & Rumors Space has 29,000 likes on 1.1 million views, suggesting strong approval and engagement.
  • Babaalado Backup PG had 6,900 likes on 135,000 views, maintaining a solid approval rate.
  • Láyí Àk??ju TV and Yorubawood Community 1 also have relatively high like counts, confirming audience interest.
  • Ganu si by Chief Tafseer of Ilorin and IMOLE Olohun TV received very few likes, reinforcing their low engagement levels.
3. Comment Count as an Indicator of Controversy

Comment sections often indicate how much a topic sparks debate or discussion.

  • Gossip & Rumors Space leads with 1,900 comments, suggesting its post was highly engaging and possibly controversial.
  • Babaalado Backup PG (350 comments) and Láyí Àk??ju TV (327 comments) also generated significant discussion.
  • Yorubawood Community 1 (176 comments) and Kwara Gong (89 comments) had moderate engagement, while Ganu si by Chief Tafseer of Ilorin and IMOLE Olohun TV had very low interaction.
4. Virality vs. Niche Appeal
  • Gossip & Rumors Space stands out as the most viral, with high views, likes, and comments. Its content likely resonated widely, possibly blending entertainment with controversy.
  • Babaalado Backup PG and Láyí Àk??ju TV achieved strong engagement, indicating their audience found the content relevant.
  • IMOLE Olohun TV and Ganu si by Chief Tafseer of Ilorin had the least impact, suggesting either low audience interest or ineffective content promotion.

Exhibit 2: Select video-based content on Facebook

Source: Facebook’s posts of Nigerian content creators, 2025; Infoprations Analysis, 2025

A clear pattern emerges: Nigerian content creators strategically frame narratives to maximize engagement, often prioritizing virality over substance. The engagement with Ganusi-related content illustrates how social media incentivizes emotionally charged discussions. The use of humour, controversy, and sensational narratives enables creators to tap into the audience’s appetite for entertainment-driven discourse. Our analyst points out that this commodification process ensures that cultural and religious debates surrounding the incident in physical settings are repackaged into digestible, shareable content on digital platforms, fueling further engagement and revenue generation.

This commodification is not without consequences. While it democratizes discourse by allowing individuals to engage in socio-cultural conversations, it also risks distorting the essence of the debate. The rapid transformation of Ganusi from a statement into a social media trend exemplifies how digital platforms shape contemporary Nigerian cultural debates. Content creators, influencers, and digital platforms all benefit from this economy, turning fleeting controversies into long-standing digital artefacts that influence public perception.