NIGERIA, I pause today to say thank you. Not because you are perfect, no nation is, but because in your imperfections, you still worked for me.

In Secondary Technical School Ovim, in a village many would assume forgotten, you delivered a spectrum of education that shaped possibility. From Motor Vehicle Technology to Physics, from Chemistry to Woodwork, from Shorthand to Geography, from French (yes, French in a village school in Abia State) to Further Mathematics, you created optionality. You did not limit imagination. You expanded it. We had a great school with amazing teachers.

Then came the Federal University of Technology, Owerri (FUTO) experience. There, you did something profound. You did not just train engineers, you taught Philosophy to engineering students. The General Studies courses were foundation. And in the end, that philosophical foundation became one of the most enduring elements of my education. It taught how to think, not just what to build. The way you designed the program with subjects like “Engineer Turns Manager” opening exposures to managerial accounting and project management demonstrated a high level of program sequencing.

You also made access possible. Tuition was already subsidized, but even more, you went further. When the Vice Chancellor released the list, University Scholars were exempted from fees. Just like that, you assisted. And before graduation, you opened doors. Jobs came months ahead of time. The system worked. For me. And I say THANKS.

Nigeria, you gave me options. And even today, in many ways, you continue to bless. So, this is not a note of perfection. It is a note of gratitude.

My prayer is simple: that you work for many others the same way you worked for me. That more young people, in villages and cities alike, will find doors opened, systems functional, and dreams enabled.

And to all who have benefited from Nigeria, the call is clear: If it worked for you, work to make it work for others. When I invest in local companies, it is partly to feel I can help. When I traveled to more than 90 universities in Nigeria to run workshops, it is to feel that I can also help for it to work for others. My non-profit, African Institution of Technology, has served in more than 90 universities in Nigeria, helping to establish labs and systems  (photos).

Because a nation rises not when it is perfect, but when those it has helped commit to making it work, for all. Let’s make Nigeria work for ALL.

My Response on Comment

I do not need to explain more. But if you know the number of Nigerian doctors in UK, US, etc and how most were educated largely on subsidized education in Nigeria, you will appreciate Nigeria. Those doctors might not have been doctors without education subsidy in Nigeria. I find it unfortunate when most of us who attended subsidized education continue to complain that Nigeria gave nothing.

My problem with Nigeria is that it has NONE to make its case because it is not broken for anyone who attended any federal university in the country. Nigeria has given you something even if it ignored those who could not make it through primary school.

The United States and the European Union are set to formalize a partnership on critical minerals, a move that points to a deeper shift in how advanced economies are approaching supply chains, increasingly viewed through a geopolitical and security lens rather than purely commercial terms.

The memorandum of understanding, to be signed by U.S. Secretary of State Marco Rubio and EU Trade Commissioner Maros Sefcovic, signals a coordinated attempt to reduce reliance on Chinese-controlled supply networks for rare earth elements and other strategic inputs.

At its core, the agreement is about control, not just access. China’s dominance across mining, processing, and refining of critical minerals has given it significant leverage over industries ranging from semiconductors and electric vehicles to defense systems. Western governments are now responding by attempting to reconfigure the economics of the sector, even if that means accepting higher costs in the near term.

That shift is reflected in Washington’s push for a pricing framework that would support non-Chinese suppliers. U.S. Trade Representative Jamieson Greer has argued that “there needs to be some kind of price mechanism on rare earth minerals,” a position that marks a departure from decades of market-driven sourcing. The logic is that without guaranteed returns, private capital has been reluctant to fund alternative supply chains that struggle to compete with China’s scale and cost structure.

The proposed transatlantic alignment is expected to introduce tools such as minimum price guarantees, long-term offtake agreements, and coordinated procurement strategies. These mechanisms would effectively de-risk investment in new mining and processing capacity in regions outside China, including Africa, Australia, and parts of Europe. If implemented at scale, they could begin to reshape global supply dynamics, though not without friction.

But the timeline for such a transition remains long. Developing new mineral projects can take years, often constrained by environmental regulations, permitting delays, and infrastructure gaps. Processing capacity, where China holds its strongest advantage, presents an even more complex bottleneck. The partnership, therefore, is less an immediate solution than a strategic framework for gradual decoupling.

The agreement also denotes a broader recalibration in transatlantic relations. The United States has increasingly pressed its allies to align more closely on economic security issues, particularly as global trade becomes more fragmented. U.S. President Donald Trump has repeatedly voiced frustration with European partners over burden-sharing, including in areas indirectly linked to resource security and defense readiness.

The calculus is equally strategic for Brussels. The EU’s industrial policy is heavily tied to its green transition, which depends on secure access to lithium, cobalt, nickel, and rare earths used in batteries, renewable energy systems, and electrification technologies. Disruptions in these supply chains would not only raise costs but also slow the bloc’s decarbonization timeline.

Economic interdependence between the two partners provides a strong foundation for coordination. The U.S. remains the EU’s largest trading partner, with exports reaching a record 555 billion euros in 2025. That scale of integration increases the incentive to align on upstream supply chains that feed into shared industrial ecosystems.

But the ongoing Iran conflict has underscored the fragility of global supply routes and reinforced concerns about overdependence on concentrated sources of critical inputs. While the minerals agreement is not directly tied to the conflict, it fits into a wider pattern of governments seeking to insulate their economies from external shocks.

Still, the strategy carries trade-offs. Higher input costs could ripple through manufacturing sectors, potentially affecting competitiveness and consumer prices. There is also the risk of retaliation or countermeasures from China, which remains a central player in global commodities markets and could leverage its position in response to coordinated Western policies.

What is therefore emerging is a hybrid model of global trade, one where market forces are increasingly supplemented by state intervention. The U.S.-EU agreement exemplifies this shift, blending industrial policy with geopolitical strategy in a way that would have been unlikely a decade ago.

The memorandum itself may be procedural, but its implications are structural as it signals that critical minerals are now treated as strategic assets. It also highlights that securing them will require sustained coordination, capital deployment, and policy alignment across allied economies.

Tesla has moved its long-promised Cybercab into production, offering the clearest signal yet that Elon Musk is intent on turning a high-stakes autonomous driving vision into a commercial reality.

Footage released by the company shows early units progressing through assembly lines, marking a shift from concept to execution after two years of anticipation.

Cybercab has started production pic.twitter.com/MAeswanf96

— Elon Musk (@elonmusk) April 24, 2026

The milestone is significant, but it does not settle the central question surrounding the project: whether Tesla can translate early production into reliable, large-scale deployment in a sector defined as much by regulation and public trust as by engineering capability.

When the Cybercab was unveiled in 2024, Musk set an expansive target — suggesting output could eventually reach 2 million units annually, or roughly 38,000 vehicles per week. That level of production would place Tesla in direct competition not just with automakers, but with global ride-hailing platforms, effectively redefining urban transport economics.

Current expectations are more restrained. Initial production is projected in the hundreds of vehicles per week, reflecting a cautious ramp-up typical of complex new platforms. Tesla has historically followed this pattern, but the gap between early output and long-term projections continues to attract scrutiny, particularly given its record of ambitious timelines.

That scrutiny has been sharpened by recent experience with the Tesla Cybertruck. Launched after years of delays and redesigns, the Cybertruck was positioned as a category-defining product but encountered a more uneven rollout. Production constraints, pricing concerns, and mixed reception around its unconventional design tempered expectations of immediate mass adoption. The Cybertruck’s trajectory underscored Tesla’s struggle in converting bold concepts into consistent, high-volume success.

That precedent now informs how investors and analysts view the Cybercab. The concern is not whether Tesla can build the vehicle; production has already begun, but whether it can achieve the reliability, affordability, and regulatory clearance required to make the model commercially viable at scale.

Regulation remains the most immediate constraint. Fully autonomous vehicles operate in one of the most tightly controlled areas of modern technology, where safety validation, liability frameworks, and public acceptance must align before widespread deployment is permitted. In dense urban environments such as New York or Los Angeles, the challenge is compounded by unpredictable human behavior, complex traffic systems, and edge-case scenarios that continue to test even the most advanced AI models.

Until those hurdles are cleared, the Cybercab remains limited in scope, regardless of production progress.

The underlying concept is both simple and disruptive. By eliminating the human driver, Tesla aims to create a continuously operating ride-hailing network, reducing labor costs and increasing utilization rates. In theory, this could deliver lower fares, higher margins, and a more consistent user experience.

Last year, Tesla officially began limited testing of its robotaxi service in Austin over the weekend, offering rides to a select group of invitees. The company was charging a flat rate of $4.20 per ride—dramatically undercutting competitors like Uber and Lyft, whose fares typically range from $25 to $40 for similar routes in urban settings.

However, robotaxis come with layers of risk. Autonomous systems must navigate real-world uncertainty with a level of reliability that meets or exceeds human drivers, a threshold that remains contested. Legal accountability also shifts toward the manufacturer, raising the stakes for any failure in system performance.

The labor implications are equally high, especially for the labor market. A successful Cybercab network would directly compete with millions of drivers globally, intensifying concerns about job displacement in the gig economy. That tension has become a defining feature of the debate around autonomous transport, reflecting broader anxieties about automation across industries.

Supporters counter that human-driven systems already carry substantial risks, from fatigue to distraction, and argue that machine-driven alternatives could improve safety over time. They also point to the potential for new roles in fleet management, maintenance, and AI oversight, though the scale and accessibility of such opportunities remain uncertain.

For Tesla, the Cybercab is not just a product but a platform, an attempt to extend its vertically integrated model into mobility services. The company’s control over hardware, software, and data could, in theory, allow it to iterate faster and operate more efficiently than competitors relying on fragmented systems.

However, the transition from selling vehicles to operating a transport network introduces a different set of operational and regulatory complexities. It requires not only technological capability but also sustained engagement with policymakers, insurers, and local authorities.

The broader industry context is also evolving. Multiple companies are investing in autonomous driving, but approaches vary widely, from fully driverless systems to hybrid models that retain human oversight. Tesla’s decision to pursue a fully autonomous model places it at the more ambitious end of that spectrum and exposes it to higher execution risk.

The start of Cybercab production, therefore, marks a beginning rather than a conclusion. The lessons from the Cybertruck remain relevant: bold design and strong demand signals do not automatically translate into smooth scaling or market dominance.

There is clear excitement around the Cybercab’s potential to reshape transportation. But recent history has introduced a degree of caution. Investors and regulators alike are likely to judge the project not on its vision, but on its ability to deliver consistent performance, navigate regulatory barriers, and earn public trust.

A senior policymaker at the Bank of England has issued an unusually direct warning that global equity markets may be underpricing a convergence of risks, raising the prospect of a sharp correction even as major indices hover near record highs.

Sarah Breeden, the central bank’s deputy governor for financial stability, said asset prices appear disconnected from underlying macroeconomic threats.

“There’s a lot of risk out there and yet asset prices are at all-time highs,” she told the BBC. “We expect there will be an adjustment at some point.”

The remarks stand out for their candor. Central bank officials typically avoid explicit commentary on equity valuations, preferring to signal risk through broader financial stability assessments. Breeden’s intervention suggests growing unease within policy circles that markets may be relying too heavily on optimistic scenarios around growth, earnings, and geopolitical outcomes.

Her concerns are not limited to valuations alone but to the possibility of multiple shocks occurring simultaneously.

“The thing that really keeps me awake at night is the likelihood of a number of risks crystallizing at the same time, a major macroeconomic shock, confidence in private credit goes, AI and other risky valuations readjust, what happens in that environment and are we prepared for it?” she said.

The warning comes at a moment of apparent market resilience. The S&P 500 and Nasdaq Composite recently closed at record highs, recovering losses tied to the Iran conflict, while the MSCI World ex-U.S. Index has gained more than 5% this year. The rebound has been driven by strong corporate earnings, continued investment in artificial intelligence, and expectations that geopolitical tensions will not escalate into sustained economic disruption.

Breeden’s intervention introduces a counter-narrative: that markets may be extrapolating best-case outcomes while discounting tail risks.

One area of particular concern is private credit — a rapidly expanding segment of global finance that has grown into a multi-trillion-dollar market outside traditional banking channels.

“Private credit has gone from nothing to two-and-a-half trillion dollars in the last 15 to 20 years. It hasn’t been tested at this scale with the degree of complexity and interconnections it has with the rest of the financial system so far,” Breeden said.

She added, “It’s a private credit crunch, rather than a banking-driven credit crunch, that we’re worried about.”

Unlike the global financial crisis, where stress originated in the banking system, a disruption in private credit could emerge in less transparent parts of the market, where leverage, liquidity mismatches, and interconnected exposures are harder to monitor. That raises the risk of sudden repricing if defaults rise or investor confidence weakens.

The geopolitical backdrop adds another layer of fragility. The Iran conflict has already introduced volatility into energy markets, with oil prices remaining elevated and supply routes such as the Strait of Hormuz under scrutiny. While equities have largely absorbed these shocks, Breeden’s comments are indications that policymakers are concerned about second-order effects, particularly if energy inflation feeds into broader macro instability.

Not all market participants share that level of caution. Mark Haefele of UBS acknowledged energy risks but maintained a constructive outlook, writing, “Absent a prolonged shock, we believe the backdrop for the economy and corporate earnings remains solid, supporting equities.”

Similarly, Daniel Casali of Evelyn Partners argued that corporate performance will remain the dominant driver.

“If companies deliver on earnings expectations and geopolitical tensions ease even slightly, there is a clear pathway for equities to move higher,” he said, adding that “earnings rather than energy may be the dominant market driver for the rest of the year.”

A more structural counterargument comes from Nigel Green of deVere Group, who challenged the premise that current valuations are inherently excessive. He said Breeden was right to highlight elevated pricing but argued that traditional valuation frameworks may no longer apply.

“We have never had AI before at this scale,” Green said. “There’s no clean historical benchmark for what markets should pay for companies leading a once-in-a-generation productivity, infrastructure and earnings cycle.”

This divergence in views reflects a deeper tension in global markets. There is a policy-driven concern that financial conditions may be too loose relative to underlying risks. There is also a market narrative that structural shifts, particularly the rise of AI, justify higher valuations and sustained capital inflows into equities.

Even some policymakers and corporate leaders have expressed surprise at the market’s strength. Goldman Sachs boss David Solomon and U.S. President Donald Trump have both commented on the strength of equities amid geopolitical uncertainty, underscoring how disconnected market performance can appear from headline risks.

The underlying issue may not be whether markets are overvalued in a traditional sense, but whether they are sufficiently pricing the probability of adverse scenarios. Breeden’s warning points to a scenario where multiple stress points, geopolitical shocks, credit market disruptions, and a reassessment of AI-driven valuations could interact in ways that amplify volatility.

For now, liquidity, earnings growth, and investor positioning continue to support equity markets. But the Bank of England’s intervention indicates that, from a financial stability perspective, the margin for error may be narrowing. The timing of any adjustment remains uncertain. The risk, as Breeden frames it, is not a single trigger but a convergence, a scenario where markets are forced to reprice several assumptions at once.