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Home Blog Page 2015

Nigerian House of Reps. Secures N28.7bn Payment from Seplat and Chorus Energy, Intensifies Debt Recovery Efforts

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The House of Representatives has disclosed that Seplat Production Development Limited and Chorus Energy Limited have remitted a total of N28.7 billion into Nigeria’s Federation Account as part of efforts to clear outstanding liabilities owed to the nation.

This development was announced by the House of Representatives Public Accounts Committee (PAC) in a statement signed by Rep. Akin Rotimi Jr, the official spokesman of the House. The Committee, tasked with ensuring accountability in public financial management, described this as a significant breakthrough in ongoing efforts to recover overdue revenues from oil and gas companies operating in Nigeria.

According to the statement, Chorus Energy Limited settled its outstanding liability with a payment of $847,623 (N1.2 billion) on March 11, 2025, while Seplat Production Development Limited fully discharged its obligation by remitting $18.39 million (N27.6 billion) between March 10 and March 14, 2025.

The payments come as part of a broader investigation into outstanding financial obligations owed by oil companies to the federal government. The House of Representatives, through its Public Accounts Committee, launched an investigation into these liabilities based on findings from the 2021 Audit Report, which revealed that 45 oil companies collectively owed Nigeria $1.7 billion.

The Nigerian Upstream Petroleum Regulatory Commission (NUPRC), the industry’s regulatory authority, has been provided with evidence of these payments for final verification. The House emphasized that this progress signals a renewed commitment to enforcing financial discipline among oil and gas operators.

Rep. Akin Rotimi Jr, speaking on behalf of the House, noted that another company, Shoreline Natural Resources Ltd., had made an initial payment of $30 million towards its total debt of $100.28 million before the commencement of the investigation. The company has also requested a structured repayment plan to clear the remaining balance.

During the Committee’s proceedings, a representative of the NUPRC, Balarabe Haruna, provided additional insights into the reconciliations undertaken so far. He stated that Seplat Energy Producing Nigeria Unlimited, formerly known as Mobil Producing, currently has a credit balance of $211,911.09 for crude oil royalty, $33.01 million for gas flare penalties, and $163,046.40 for concession rentals, with no outstanding liabilities owed to the federal government.

The House commended Seplat Energy for promptly fulfilling its financial obligations. The Public Accounts Committee reaffirmed its commitment to utilizing all constitutionally sanctioned measures to recover outstanding debts from the remaining 38 oil companies still under investigation. The Committee stressed that accountability remains a priority and that companies must comply with the financial obligations imposed by the government.

The House of Representatives also revealed that some other oil companies had fully settled their outstanding financial commitments. Among the companies that no longer have liabilities to the federal government are Amalgamated Oil Company Nigeria Ltd., Seplat Energy, Shell Exploration and Production, and Shell Petroleum Development Company.

VAT Recovery Too

In a separate development, the House reported significant progress in the recovery of public funds linked to excessive charges and non-remittance of Value Added Tax (VAT) on transactions processed through the Remita platform. It disclosed that a total of N199.3 million had been successfully recovered out of an outstanding N6.8 billion in excessive charges collected between March and October 2015.

The Committee had, in 2024, launched an investigation into revenue leakages and the non-remittance of funds by Ministries, Departments, and Agencies (MDAs) through Remita. This inquiry followed a motion sponsored by Hon. Jeremiah Umaru, which was subsequently referred to the Committee for thorough examination.

According to the Committee’s findings, the federal government had earlier directed financial service providers, including banks, Remita, and the Central Bank of Nigeria (CBN), to refund 1% of transaction charges collected through the Remita platform between March and October 2015. An audit of financial records from banks and Remita indicated that while N7.63 billion had been refunded, an outstanding sum of N1.98 billion remained unpaid.

Further analysis showed that applying the prevailing Monetary Policy Rate (MPR) of 27.25% to the unpaid sum resulted in the accumulated interest of N4.84 billion, bringing the total refundable amount to N6.83 billion.

The Committee confirmed that on March 13, 2025, Guaranty Trust Bank (GTB) remitted N40.6 million in overdue charges for the period between March and October 2015. Additionally, the Committee’s investigations revealed non-remittance of VAT on transactions processed through Remita. The Central Bank of Nigeria (CBN) acknowledged an outstanding VAT liability of N521.76 million for transactions conducted between November 2018 and April 2024, which remains unsettled.

Some banks have already remitted a portion of the funds. Zenith Bank has paid N126.13 million, while Guaranty Trust Bank has settled N32.59 million. However, the House noted that several other financial institutions and value chain providers are yet to comply with VAT remittance requirements and other under-remittances identified during the investigation.

Chairman of the House Public Accounts Committee, Rep. Bamidele Salam, vowed to pursue every available avenue to ensure that all outstanding public funds are recovered. He emphasized that these recoveries demonstrate the effectiveness of the National Assembly’s oversight function in ensuring transparency and accountability in public financial management.

“These recoveries demonstrate the effectiveness of the oversight function of the National Assembly in ensuring accountability and transparency in the management of public funds. We will continue to engage with relevant institutions and deploy all necessary legislative tools to recover outstanding debts and prevent revenue leakages. Our objective is to ensure that every kobo due to the Federation is accounted for and remitted accordingly,” he stated.

The House of Representatives, through its Public Accounts Committee, reaffirmed its unwavering commitment to upholding financial discipline, strengthening institutional accountability, and safeguarding public resources in the national interest. It stressed that its ongoing efforts are geared toward ensuring compliance with financial regulations, recovering lost revenues, and preventing future occurrences of financial misconduct by corporate entities and government agencies.

AI-Driven Startups Redefining Silicon Valley’s Early-Stage Growth

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Artificial Intelligence is revolutionizing how Silicon Valley’s newest startups operate, accelerating their growth and transforming their business models.

At Y Combinator’s demo day held on March 12, 2025, emerging startups showcased their AI-powered platforms, attracting keen interest from investors.

Approximately 80% of this year’s Y Combinator startups are centered on Al, with additional innovations emerging in robotics and semiconductors. Unlike past generations, these companies are proving commercial viability earlier, with real customers actively using their products. Investors no longer have to rely on hype, they can see tangible adoption and market demand firsthand.

Speaking on this in a CNBC interview, Y combinator CEO Garry Tan noted that this year’s batch of startups demonstrated exceptional growth, achieving significant revenue increases.

Over the past nine months, these companies have collectively grown by an unprecedented 10% per week. Unlike previous years, where only a few standout startups dominated, this exponential growth now extends across the entire cohort.

“It’s not just the number one or two companies, the whole batch is growing 10% week on week. That’s never happened before in an early-stage venture”.

Tan attributes this rapid acceleration to artificial intelligence. With Al handling repetitive tasks and even writing code, startups develop products faster and with fewer employees. In some cases, Al has generated as much as 95% of a company’s code, enabling lean teams to scale efficiently. Many of these startups are already generating millions in revenue with fewer than ten employees.

This shift is redefining traditional startup economics. Rather than hiring large engineering teams or raising substantial capital, founders can achieve profitability much earlier. The days of excessive spending and unchecked growth have given way to a new emphasis on financial sustainability. Giant tech companies like Google, Meta, and Amazon have adjusted their strategies, focusing on cost efficiency amid multiple rounds of layoffs.

Alphabet, Google’s parent company has exemplified this shift. In January 2023, the company announced a cut of 12,000 jobs about 6% of its workforce, followed by additional reductions in 2024 and 2025, including targeted layoffs in teams like legal discovery and hardware. The company’s CEO Sundar Pichai defined these moves as a response to over-hiring during a different economic reality, with a strategic pivot toward high-priority areas like Al.

Also, Meta has taken a similar path, which saw it tag 2023 as its “year of efficiency”, a mantra that has since evolved into a long-term strategy. The company slashed over 21,000 jobs since 2022, with a notable 5% workforce reduction of approximately 3,600 employees in February 2025, targeting “low performers.” This followed earlier cuts in 2023 and 2024, affecting divisions like WhatsApp, Instagram, and Reality Labs. Meta’s focus has shifted from ambitious but costly ventures like its metaverse push to optimizing core businesses such as advertising and Al-driven features.

For aspiring entrepreneurs, these changes present a unique opportunity. Talented engineers who may have previously sought positions at big tech firms are now building their own companies, some of which are already achieving multimillion-dollar success. Y Combinator CEO Tan believes this democratization of software development is a game-changer, allowing small, Al-driven teams to disrupt industries that once required extensive resources.

Y Combinator’s Role in Supporting The Growth of AI-powered Startups

Y Combinator (YC), one of the world’s most renowned startup accelerators, has played a pivotal role in the rise of Al startups, particularly in recent years as artificial intelligence has become a dominant force in technology. Founded in 2005 by Paul Graham, Jessica Livingston, Robert Morris, and Trevor Blackwell, YC has historically been a launchpad for transformative companies like Airbnb, Dropbox, and Stripe.

Its influence on Al startups stems from its ability to identify promising founders, provide early-stage funding, and offer a robust ecosystem of mentorship and resources, all tailored to the unique needs of Al-driven ventures. YC’s role begins with its selective investment model. It invests $500,000 in each startup accepted into its three-month program in exchange for a small equity stake (typically around 7%).

This funding, while modest compared to later-stage venture capital, is critical for Al startups, which often require significant upfront investment in talent, compute resources, and data infrastructure. The program’s structure-intensive mentorship, access to a vast alumni network, and a culminating Demo Day help Al founders refine their ideas, build prototypes, and pitch to investors. For Al startups, this early validation is crucial, given the technical complexity and market uncertainty they often face.

The accelerator has increasingly leaned into Al as a focal point. By March 2025, Al startups dominate YC batches, with over 75% of the Summer 2024 cohort (156 out of 208 startups) working on Al-related products, according to public reports. This shift reflects broader industry trends’ ability to automate tasks, generate value at the application layer, and disrupt traditional software models has made it a magnet for entrepreneurial talent and investor interest.

YC’s leadership, including CEO Garry Tan, has highlighted Al’s transformative impact, noting that for about a quarter of recent YC startups, 95% of their code was written by Al tools. This underscores how YC not only fosters Al companies but also leverages Al to enhance the startup-building process itself, reducing the need for large engineering teams and lowering capital requirements.

Looking Ahead

With AI becoming a fundamental technological force reshaping the way startups are built, Y combinator is proving that AI-powered startup’s is the future of Silicon Valley innovation.

ECA Calls for Stronger Sub-Regional Development Banks For AfCFTA, Economic-independent Africa

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Amid growing concerns over Africa’s economic future, the Economic Commission for Africa (ECA) has called for the strengthening of sub-regional multilateral development banks (MDBs) to boost their ability to mobilize long-term resources and provide affordable financing for African economies.

ECA’s Chief Economist and Deputy Executive Secretary, Hanan Morsy, made this call in a statement published on the commission’s website on Sunday, according to the News Agency of Nigeria (NAN).

Speaking at a high-level panel during the 57th Session of the ECA Conference of African Ministers of Finance, Planning, and Economic Development (COM2025) in Addis Ababa, Ethiopia, Morsy warned that Africa’s economic growth remains constrained by structural barriers. She highlighted that limited access to financing is threatening the continent’s ability to fund critical infrastructure and development projects, emphasizing the urgent need to reinforce Africa’s MDBs.

“Adequately capitalized and efficiently structured MDBs can play a pivotal role in bridging Africa’s financing gap, mobilizing resources, attracting private investments, and supporting regional economic transformation,” Morsy said.

Africa’s Lack of Effective Development Banks, A Major Barrier to AfCFTA

One of the most pressing challenges facing the African Continental Free Trade Area (AfCFTA) is the lack of effective development banks at both the regional and sub-regional levels. Economists have warned that without functional development banks, Africa’s ability to finance its own economic growth will remain severely limited, leaving the continent dependent on external funding. This dependence, experts warn, will allow foreign lenders to exercise significant economic control over African nations, undermining their financial sovereignty and long-term development ambitions.

Unlike other regions that have strong development finance institutions—such as the European Investment Bank (EIB) in Europe or the Asian Infrastructure Investment Bank (AIIB) in Asia—Africa’s regional economic blocs either lack development banks or have ineffective ones.

The Economic Community of West African States (ECOWAS), for instance, does not have a fully operational development bank that can adequately fund infrastructure and industrial projects across the region. The Southern African Development Community (SADC) has the Development Bank of Southern Africa (DBSA), but its reach is limited beyond South Africa, and it lacks the financial firepower to drive large-scale economic development across the region. The East African Development Bank (EADB), which was created to serve the East African Community (EAC), has also struggled with capitalization issues, limiting its ability to provide the much-needed financing for regional economic integration projects.

With AfCFTA aiming to create the world’s largest free trade area by connecting 54 nations and over 1.4 billion people, the absence of strong development banks is a glaring weakness. AfCFTA’s success depends on Africa’s ability to finance critical trade-enabling infrastructure, including roads, railways, and energy projects. However, according to Morsy, without a robust financial architecture led by effective MDBs, these projects remain underfunded.

Due to the weakness or absence of regional development banks, African economies have increasingly relied on external lenders, including multilateral institutions such as the World Bank and International Monetary Fund (IMF), as well as bilateral loans from countries like China, the United States, and European nations. While these external lenders provide much-needed capital, their financing often comes with conditions that limit African nations’ policy autonomy.

Experts have warned that dependence on foreign financing not only exposes Africa to debt vulnerabilities but also risks ceding economic control to non-African nations. Many African countries have already found themselves burdened by unsustainable debt levels, with some struggling to repay loans taken from international lenders. Countries like Zambia and Ghana have been forced into debt restructuring negotiations, with stringent conditions imposed by creditors.

The growing influence of China, which has emerged as Africa’s largest bilateral lender, has also sparked debates about Africa’s financial sovereignty. While Chinese loans have funded major infrastructure projects across the continent, concerns about debt sustainability and transparency in loan agreements have raised questions about whether these financial arrangements truly serve Africa’s long-term interests.

Panelists at the ECA conference emphasized that without strengthening Africa’s own financial institutions, the continent will remain vulnerable to external economic pressures, limiting its ability to pursue independent and sustainable development strategies.

Strengthening Africa’s Financial Institutions: The Key to Economic Independence

To address these challenges, panelists at the ECA conference explored strategies to empower MDBs, enhance resource mobilization, and scale up investment in trade and infrastructure, particularly under AfCFTA.

Admassu Tadesse, President and CEO of the Trade and Development Bank, stressed the need for increased investment in trade-enabling infrastructure. He pointed out that inadequate logistics and transportation networks continue to stifle Africa’s trade potential, and without strong development banks to finance these projects, intra-African trade will remain limited.

Fatima Elsheikh, Secretary-General of the Arab Bank for Economic Development in Africa (BADEA), identified several constraints that have limited the effectiveness of African MDBs. She noted that many of these banks are overly reliant on contributions from low-income shareholders, have limited callable capital, and face high borrowing costs, making it difficult for them to provide affordable financing for development projects.

Experts note that a well-funded African Development Bank (AfDB), coupled with strong regional development banks, could serve as a powerful engine for financing critical projects without reliance on foreign lenders.

Reforming the Global Financial System to Support Africa’s Development Banks

Beyond strengthening Africa’s own financial institutions, the conference also addressed the need for reforms in the global financial system to provide better support for African MDBs. Experts suggested reallocating Special Drawing Rights (SDRs) from the IMF to regional development banks, allowing them to expand concessional lending and finance long-term development initiatives.

There were also calls for MDBs to align their strategies with Africa’s long-term development goals, including the African Union’s Agenda 2063 and the United Nations’ 2030 Sustainable Development Goals (SDGs). Panelists stressed that development banks must move beyond short-term project financing and focus on structural reforms that promote economic self-sufficiency.

The Illogical AI Logic on Copyright

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We’re all selfish in this world: “Google has thrown its weight behind OpenAI in the intensifying battle, reinforcing the argument that strict copyright enforcement threatens the future of artificial intelligence. Both companies, facing mounting legal challenges, have called on the US government for regulatory changes that would allow AI firms to train on publicly available data, including copyrighted material, without facing legal uncertainty.”

The artificial intelligence industry, already grappling with sky-high costs and a rocky path to profitability, is now embroiled in a high-stakes legal and policy battle over copyright. AI companies like OpenAI and Google find themselves at the center of lawsuits that could define the limits of AI training and reshape the industry’s future. At the heart of the conflict lies a fundamental question: should AI models have unrestricted access to copyrighted material for training purposes?

Just imagine that because it is AI, the small money they pay me for my books will not be paid, because one AI company has the rights to use the books as it wants. “O di egwu” [truly mystical] on how money can make humans lose sense of logic.

Think of this: if they can find money to buy Nvidia chips at $billions, why can’t they find $millions to pay copyright owners? I just hope no judge approves their prayers.

The beauty of America is that property rights exist. The money I get yearly from the US Government on my patent is valuable. Since they sought part licensing rights and I approved, the money has been flowing. If because of AI, from copyrights to patents, everything is destroyed, can we have a future? AI companies: find money and pay copyright owners! Between AI and property rights, we vote property rights,

AI’s Copyright Crisis: Google Supports OpenAI’s  Push For US To Codify AI Training As Fair Use

AI’s Copyright Crisis: Google Supports OpenAI’s  Push For US To Codify AI Training As Fair Use

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The artificial intelligence industry, already grappling with sky-high costs and a rocky path to profitability, is now embroiled in a high-stakes legal and policy battle over copyright. AI companies like OpenAI and Google find themselves at the center of lawsuits that could define the limits of AI training and reshape the industry’s future. At the heart of the conflict lies a fundamental question: should AI models have unrestricted access to copyrighted material for training purposes?

Google has thrown its weight behind OpenAI in the intensifying battle, reinforcing the argument that strict copyright enforcement threatens the future of artificial intelligence. Both companies, facing mounting legal challenges, have called on the US government for regulatory changes that would allow AI firms to train on publicly available data, including copyrighted material, without facing legal uncertainty.

Their position has sparked fierce opposition from content creators and media organizations, most notably the New York Times, whose lawsuit against OpenAI could reshape the legal landscape for AI development.

The New York Times, argues that the company improperly used its copyrighted content to train ChatGPT. Google, another major AI player, is also under fire, fending off multiple lawsuits accusing it of scraping copyrighted material without permission. These cases could set legal precedents that force AI companies to pay hefty licensing fees or severely limit the datasets available for training.

The Copyright Conundrum

For AI companies, training data is everything. The more data their models consume, the better they perform. But a growing number of content creators, news organizations, and artists argue that AI firms are profiting from their work without permission or compensation.

OpenAI, in its response to the Times lawsuit, has painted stringent copyright enforcement as an existential threat to AI innovation. Google has echoed this sentiment, calling for “balanced copyright rules” that would allow AI firms to use copyrighted data without being bogged down by complex negotiations.

Yet, many believe that Google’s definition of “balance” is heavily skewed in favor of tech companies. The search giant’s latest AI policy proposal suggests that publicly available data—whether copyrighted or not—should be fair game for training. Google insists that AI training does not significantly impact rightsholders, but content creators see it differently, pointing out that AI-generated content could ultimately replace human creators.

The Government’s Role in AI Development vs. Copyright Protection

Amid the ongoing legal battles, the U.S. government is stepping into the fray. The Trump administration has called for a National AI Action Plan to shape the future of the industry, a move that AI companies have seized upon to push for regulatory changes that favor their interests.

Google’s proposal calls for government backing in multiple ways:

  • Funding AI Development: Google wants the federal government to subsidize AI research and provide financial incentives for startups.
  • Infrastructure Overhaul: The company argues that AI progress requires a modernization of America’s energy grid, citing estimates that global data center power demand will surge by 40 gigawatts between 2024 and 2026.
  • Federal AI Adoption: Google urges the government to set an example by integrating AI into public services, advocating for open datasets to be made available for AI training.

AI firms are also pushing for a unified national policy that would override restrictive state laws. California’s recent AI safety bill, SB-1047, which sought to impose stricter regulations on AI developers, was vetoed. But the fear of a fragmented regulatory landscape remains a major concern for companies like Google and OpenAI, which would prefer a more lenient federal framework.

Another contentious issue in the debate is liability. AI companies do not want to be held responsible for the actions of their users. Google, in particular, has strongly opposed any attempt to impose liability on AI developers, arguing that their products are inherently unpredictable.

“In many instances, the original developer of an AI model has little to no visibility or control over how it is being used by a deployer and may not interact with end users,” Google states in its policy document, effectively shifting responsibility to those who deploy or interact with AI models. This stance mirrors that of OpenAI, which has consistently resisted calls for greater accountability.

The EU’s AI Act, which proposes mandatory transparency requirements—including disclosures of training data sources—is seen as a looming threat. Google has warned that such measures could force companies to reveal trade secrets, potentially giving foreign competitors an advantage. The company is now lobbying the U.S. government to oppose stringent AI regulations at the international level and instead promote a “light-touch” approach that aligns with American business interests.