Nigeria’s New Tax Regime: What You Need to Know (Finance Act 2025)
At Akinyele Oluwale & Co., we are committed to keeping our clients informed about the latest regulatory changes affecting businesses and individuals in Nigeria.
The Finance Act 2025 represents one of the most significant tax reforms in Nigeria in recent years. Signed into law to simplify the tax system, reduce multiple taxation, and improve ease of doing business, the Act introduces several key changes:
Major Highlights:
Company Income Tax (CIT) reduced to 25% for large companies (from 30%).
Tertiary Education Tax significantly reduced from 2% to 0.5%.
- Strengthened rules against multiple taxation across federal, state, and local governments.
- Expanded scope of Value Added Tax (VAT) on digital services and luxury goods.
- Higher exemption thresholds for Capital Gains Tax and Personal Income Tax.
- Mandatory digital compliance through the new Rev360 platform.
New Tax Portal – Rev360
The Federal Inland Revenue Service (FIRS) has launched Rev360 (www.rev360.gov.ng), a unified digital platform for all federal tax filings and payments. This new system makes tax compliance easier, faster, and more transparent.
Our Advisory
These reforms present both opportunities and compliance requirements for businesses. Early adaptation will help you avoid penalties and optimize your tax position.
Meta and Anthropic in Talks Over Massive $10 Billion AI Compute Deal
By Akinyele Oluwale | www.akinyeleoluwale.finance
Executive Summary
Meta Platforms and Anthropic are reportedly in early discussions over a potential AI compute agreement worth up to $10 billion over two years. Unlike a traditional investment or acquisition, the proposed arrangement would involve Meta leasing computing power to Anthropic, marking a significant strategic shift as AI infrastructure becomes one of the world's most valuable assets. If completed, the deal could reshape the competitive landscape of artificial intelligence, cloud computing, and enterprise AI services.
Introduction
Artificial intelligence is entering a new era.
For years, the spotlight has focused on breakthrough AI models such as ChatGPT, Claude, Gemini, and Llama. Today, however, the industry's greatest competitive advantage is no longer just the quality of AI models—it is access to the enormous computing infrastructure required to build and operate them.
Reports that Meta Platforms and Anthropic are discussing a potential $10 billion AI compute deal illustrate this transformation.
Rather than purchasing Anthropic or making another equity investment, Meta is reportedly considering leasing massive computing capacity to the AI company behind Claude. If finalized, the agreement would represent one of the largest commercial AI infrastructure arrangements ever proposed.
What Is the Proposed Deal?
According to multiple reports, Anthropic proposed the arrangement in June 2026. The discussions remain at an early stage and there is no guarantee an agreement will ultimately be signed. Reuters reports the proposal could be worth up to $10 billion over two years, with monthly payments and provisions allowing either party to exit under certain conditions.
Instead of investing directly in Anthropic, Meta would potentially provide access to its expanding AI infrastructure—including high-performance GPUs, advanced networking, and large-scale data centers—to help Anthropic train and deploy future generations of Claude.
If completed, the partnership would allow Anthropic to diversify its sources of computing power while giving Meta an opportunity to monetize billions of dollars invested in AI infrastructure.
Why Compute Has Become the New Currency of AI
Training modern frontier AI models requires an extraordinary amount of computing power.
Every new generation of AI demands:
Without these resources, even the most talented AI researchers cannot build competitive models.
This explains why companies worldwide are investing hundreds of billions of dollars in AI infrastructure rather than software alone.
Meta's Expanding AI Ambitions
Meta has dramatically increased spending on artificial intelligence infrastructure.
The company has invested heavily in:
CEO Mark Zuckerberg has previously indicated that Meta could eventually offer cloud computing services if it develops capacity beyond its internal needs. He noted that companies regularly approach Meta seeking access to its AI models or spare compute resources. Recent reports also indicate Meta is building capabilities to sell excess computing power and has been recruiting senior cloud infrastructure talent.
Why Anthropic Needs More Compute
Anthropic has become one of the world's leading AI companies through its Claude family of models.
As enterprise adoption accelerates, demand for computing power has surged.
Anthropic already maintains significant infrastructure partnerships, including an expanded agreement with Amazon for large-scale compute capacity. The company has also pursued additional arrangements to diversify infrastructure as demand continues to grow.
The proposed Meta agreement would further strengthen that strategy.
Why This Matters for Investors
The reported negotiations demonstrate an important investment trend.
The AI economy increasingly rewards companies that own the infrastructure powering artificial intelligence.
Potential beneficiaries include:
GPU Manufacturers
Demand for AI accelerators remains exceptionally strong as AI companies continue expanding training capacity.
Data Center Operators
Every new AI model requires enormous computing facilities capable of supporting thousands of high-performance processors.
Cloud Computing Providers
AI companies increasingly rent infrastructure rather than build everything themselves.
Energy Companies
AI data centers consume enormous amounts of electricity, making reliable power generation increasingly valuable.
Networking Companies
Ultra-fast networking hardware is essential for connecting thousands of GPUs during AI training.
Meta's Opportunity
If Meta successfully launches a commercial AI infrastructure business, it could diversify beyond its advertising-driven business model.
Potential benefits include:
This could place Meta in closer competition with established cloud providers and newer AI infrastructure specialists.
Risks to Watch
Despite the excitement, several uncertainties remain.
As with many large corporate negotiations, the reported talks may ultimately change significantly—or not result in a final agreement.
The Bigger Picture
The reported negotiations highlight a profound shift in artificial intelligence.
The industry is evolving from a race to build smarter algorithms into a race to control the infrastructure that powers those algorithms.
Future AI leadership will increasingly depend on access to:
Infrastructure has become the foundation of the next generation of artificial intelligence.
Conclusion
Whether or not the proposed Meta–Anthropic agreement is finalized, it sends a clear message to investors and technology leaders alike.
Artificial intelligence is no longer defined solely by software innovation.
The companies that build, finance, and control AI infrastructure are becoming just as important as those developing the models themselves.
For investors, this reinforces a powerful long-term theme: the AI infrastructure economy may be one of the most significant wealth-creation opportunities of the coming decade.
As the AI race intensifies, compute is rapidly becoming one of the world's most strategic resources.
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Jensen Huang Says the AI Panic Is a Lie: Why the Real Risk Isn't AI—It's Being Left Behind
Executive Summary
NVIDIA CEO Jensen Huang has challenged the growing narrative that artificial intelligence is destroying jobs, arguing that the real threat is not AI itself but failing to learn how to use it. His comments shift the conversation from fear to adaptation, highlighting AI as a productivity tool rather than simply a replacement for human workers. For investors, the bigger story is how AI adoption is transforming industries, creating new business models, and driving demand for AI infrastructure, software, and digital skills.
Introduction
Few voices carry more weight in the artificial intelligence industry than NVIDIA CEO Jensen Huang.
As the leader of the company powering much of today's AI revolution, Huang has a unique perspective on where the technology is headed. While concerns about AI replacing millions of jobs continue to dominate headlines, Huang believes the discussion is missing the bigger picture.
According to him, the idea that AI is simply taking people's jobs is misleading. Instead, he argues that workers who embrace AI will outperform those who ignore it.
This distinction has significant implications for businesses, employees, investors, and policymakers.
What Jensen Huang Means
Artificial intelligence is rapidly automating repetitive tasks such as writing basic reports, analyzing large datasets, generating software code, creating digital content, and assisting with customer support.
However, Huang argues that automation does not necessarily eliminate entire professions.
Instead, AI enables professionals to complete work faster, improve productivity, and focus on higher-value activities.
Just as calculators did not eliminate accountants and spreadsheets did not eliminate financial analysts, AI may transform jobs rather than replace them entirely.
The competitive advantage will increasingly belong to individuals and organizations that know how to integrate AI into their daily workflows.
The Bigger Economic Picture
History shows that technological revolutions often create short-term disruption while generating long-term economic growth.
The Industrial Revolution replaced many forms of manual labor but created entirely new industries.
The internet transformed commerce, communications, and financial services while creating millions of jobs that did not previously exist.
Cloud computing changed software development and gave birth to entirely new business models.
Artificial intelligence appears to be following a similar pattern.
Rather than eliminating work altogether, it is reshaping how work is performed.
Why Investors Should Pay Attention
For investors, the most important question is no longer whether AI will influence the economy.
That question has largely been answered.
The more important questions are:
NVIDIA has become one of the world's most valuable companies because it supplies the computing power required to train and operate advanced AI models.
But opportunities extend beyond semiconductor manufacturers.
Cloud providers, cybersecurity companies, enterprise software developers, robotics firms, healthcare innovators, and financial technology businesses are all investing heavily in AI.
Who Benefits?
Several groups are positioned to benefit from widespread AI adoption:
Potential Risks
Despite its enormous potential, AI presents genuine challenges.
Certain administrative and repetitive roles may decline as automation improves.
Organizations will need to invest in employee training to prevent workforce displacement.
Governments may introduce new regulations covering AI safety, privacy, intellectual property, and ethical standards.
The pace of technological change could also widen the gap between businesses that adopt AI quickly and those that do not.
My Analysis
Jensen Huang's comments should not be interpreted as suggesting that AI poses no disruption.
Instead, they highlight that the greatest risk may be resisting change rather than embracing it.
The companies likely to outperform over the next decade will not simply own AI technology—they will successfully integrate it into every aspect of their operations.
Likewise, professionals who learn to work alongside AI are more likely to remain competitive than those who ignore it.
The investment story is therefore broader than AI itself.
It is about productivity, digital transformation, innovation, and long-term economic competitiveness.
Conclusion
Artificial intelligence is reshaping industries at a pace few technologies have achieved.
While concerns about job displacement are understandable, history suggests that technological progress tends to create new opportunities alongside disruption.
Jensen Huang's message is ultimately one of adaptation rather than fear.
For investors, businesses, and workers alike, the focus should be less on whether AI will change the future and more on how prepared they are for that future.
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Cardano Moves to Reduce Reliance on Its Creator: A New Era of Decentralized Governance
Executive Summary
Cardano is entering a significant new phase in its evolution by strengthening its decentralized governance model and reducing its reliance on founder Charles Hoskinson. This transition reflects one of blockchain technology's core principles: creating networks that can operate, evolve, and thrive independently of any single individual. As governance shifts toward the community, Cardano aims to become more resilient, transparent, and attractive to developers, institutions, and long-term investors. While challenges remain, this move could mark an important milestone in the maturation of the Cardano ecosystem and the broader cryptocurrency industry.
Introduction
One of the greatest tests for any blockchain project is whether it can continue to succeed without depending heavily on its founder. While visionary leaders often play a crucial role in building innovative technologies, true decentralization requires that power, decision-making, and responsibility eventually be shared across the community.
Cardano is now taking meaningful steps in that direction.
The blockchain network is advancing its governance framework to ensure that strategic decisions, protocol upgrades, and treasury management are increasingly driven by its community rather than its founder, Charles Hoskinson. This evolution represents more than a leadership adjustment—it is a demonstration of Cardano's commitment to one of the founding principles of blockchain technology: decentralization.
Why Cardano Is Making This Transition
Charles Hoskinson has been one of the most recognizable figures in the cryptocurrency industry. As the founder of Cardano and CEO of Input Output Global (IOG), he has guided the project through years of research, development, and innovation.
However, blockchain networks are designed to remove central points of control.
A project that relies too heavily on one individual faces what investors call "key-person risk." If leadership changes unexpectedly, decision-making can slow, confidence may decline, and long-term development could be affected.
By distributing governance responsibilities across stakeholders, Cardano seeks to reduce this risk while strengthening the network's independence.
The Role of Decentralized Governance
Cardano's governance model allows ADA holders and community representatives to participate in decisions affecting the blockchain's future. Instead of major decisions being directed primarily by the founding organization, governance mechanisms are designed to encourage collective participation.
This includes decisions relating to:
The objective is to create a system where the blockchain can continue evolving even if its founder becomes less involved over time.
Why This Matters for Investors
For investors, founder-independent governance is generally viewed as a sign of maturity.
Institutional investors often evaluate not only a blockchain's technology but also its governance structure. Networks that demonstrate transparent decision-making and broad community participation may be perceived as more sustainable over the long term.
Reducing reliance on a founder can also improve confidence by minimizing uncertainty associated with leadership transitions.
However, decentralization also introduces new challenges. Decision-making may become slower, governance participation can vary, and disagreements among stakeholders may delay important initiatives.
The effectiveness of Cardano's governance system will therefore depend on active community engagement and efficient decision-making processes.
Potential Benefits
Cardano's governance transition could offer several advantages:
Greater decentralization: Decision-making becomes distributed across the community rather than concentrated in one individual.
Reduced key-person risk: The network becomes less vulnerable to leadership changes.
Institutional confidence: Transparent governance may encourage greater institutional participation.
Community ownership: ADA holders gain a stronger voice in shaping the network's future.
Long-term sustainability: A self-governing blockchain is better positioned for continued innovation over many years.
Challenges Ahead
Despite its potential, decentralized governance is not without risks.
Community participation must remain high for governance to function effectively. If only a small percentage of token holders vote, decisions may not accurately reflect the broader community's interests.
There is also the possibility of governance disputes, slower implementation of upgrades, and differing opinions on the network's strategic direction.
Success will depend on maintaining a balance between inclusiveness and efficient decision-making.
What Investors Should Watch
Rather than focusing solely on ADA's market price, investors should monitor several key indicators over the coming months:
These indicators will provide valuable insight into whether Cardano's governance model is achieving its intended objectives.
Looking Ahead
Cardano's transition represents an important milestone in the evolution of blockchain governance. The project is attempting to demonstrate that a major blockchain network can successfully move beyond founder-centric leadership while maintaining innovation, security, and community confidence.
If successful, Cardano could strengthen its reputation as one of the cryptocurrency industry's most decentralized and sustainable blockchain ecosystems. It may also provide a governance model that other blockchain projects choose to follow as they mature.
While challenges remain, the broader direction reflects the original vision of blockchain technology: creating open, transparent, and community-driven networks capable of thriving independently of any single leader.
As the cryptocurrency industry continues to mature, governance may become just as important as technology itself. Cardano's progress in this area will be closely watched by investors, developers, institutions, and policymakers around the world.
Final Thoughts
Cardano's move to reduce reliance on its creator is not a sign of weakness—it is a strategic effort to strengthen the network's decentralization and long-term resilience. Whether this governance evolution delivers on its promise will depend on active community participation, sound decision-making, and continued ecosystem growth. If these elements come together, Cardano could reinforce its position as one of the leading examples of decentralized blockchain governance.
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