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CZ Suggests Many AI Companies May Disappear Along the Way

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The artificial intelligence boom has become one of the defining investment stories of the decade. Trillions of dollars in market value have been created, data center construction is accelerating worldwide, and investors continue to pour capital into AI startups at a record pace. Yet amid the excitement, a growing number of industry leaders are warning that the sector may be entering a phase of excessive speculation.

Recent comments from Binance founder Changpeng Zhao (CZ), combined with a sharp decline in Nvidia H200 GPU rental prices, have reignited debate over whether parts of the AI market are experiencing a bubble. CZ recently stated that most AI firms will eventually go bust. While the remark may sound pessimistic, it reflects a historical reality seen across many technological revolutions.

During transformative periods, capital often floods into new industries faster than sustainable business models can develop. The internet boom of the late 1990s produced thousands of startups, but only a small percentage survived to become profitable enterprises. Similarly, while artificial intelligence is likely to reshape industries ranging from healthcare to finance, not every company currently branding itself as an AI business will succeed.

The warning comes at an interesting moment for the industry. Nvidia’s H200 graphics processing units, among the most sought-after AI chips in the market, have reportedly seen rental prices decline by roughly 40%.

For years, access to advanced GPUs was considered one of the biggest bottlenecks in AI development. Companies scrambled to secure computing resources, often paying premium prices to train and run large language models. The surge in demand fueled extraordinary revenue growth for Nvidia and helped drive a massive expansion of AI infrastructure spending.

A significant drop in rental costs suggests that the supply-demand balance may be shifting. New data centers are coming online, cloud providers are expanding capacity, and alternative chip manufacturers are entering the market. As more computing power becomes available, scarcity decreases and prices naturally fall. For AI developers, this is positive news because lower infrastructure costs make experimentation and innovation more affordable.

However, for investors who assumed perpetual shortages and ever-rising prices, it raises important questions. The decline in GPU rental prices does not necessarily mean AI demand is collapsing. Instead, it may indicate that the market is maturing. Infrastructure booms often follow a predictable pattern: an initial shortage triggers massive investment, which eventually leads to increased supply and lower prices.

Railroads, telecommunications networks, and cloud computing all experienced similar cycles. The companies that survive are usually those that can convert technological capability into sustainable revenue rather than relying solely on investor enthusiasm.

This distinction is central to CZ’s argument. Many AI startups have secured impressive valuations despite generating little revenue or demonstrating limited competitive advantages.

As funding conditions become more selective, firms without clear business models may struggle to justify their valuations. Investors are increasingly focusing on profitability, customer adoption, and long-term economic value rather than simply rewarding companies for incorporating AI into their branding. At the same time, the broader AI revolution remains very much intact.

Falling GPU prices could ultimately accelerate adoption by reducing costs for developers, enterprises, and researchers. More affordable compute may enable a new wave of applications that were previously uneconomical. In that sense, lower infrastructure costs could strengthen the industry even as they expose weaknesses among overvalued firms.

The lesson from previous technology cycles is clear: transformative innovations survive, but speculation does not. Artificial intelligence is likely to become a foundational technology of the modern economy. Yet as CZ suggests, many of today’s AI companies may disappear along the way. The challenge for investors is distinguishing between businesses building lasting value and those riding a temporary wave of hype.

Tekedia Capital Invests in Unsupervised Biological AI company, Exonic

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Tekedia Capital is excited to announce our investment in Exonic, an unsupervised Biological AI company pioneering a new generation of biological foundation models focused on heterogeneous, unstructured, and noisy biological datasets.

Why did we make this investment? As always, I begin with business models, and consider two scenarios.

Scenario A: Hire ten world-class movie producers and ask them to create 200 short-form videos over two years for your digital media platform.

Scenario B: Open a platform to tens of thousands of creators worldwide and use AI to discover, rank, and distribute the best content daily.

In the year 2000, Scenario A would have been a sensible business model. Computing power was expensive, AI was primitive, and the infrastructure required to evaluate millions of content interactions in real time did not exist at scale. Human judgment had to substitute for computational intelligence.

Today, Scenario B wins.

Why? Because intelligence compounds when you can learn from everyone. The probability of discovering a breakout hit becomes dramatically higher when you allow thousands or millions of contributors to participate. AI can then identify patterns, surface quality, and continuously optimize distribution. The result is a system that becomes smarter with scale.

This explains why TikTok became a superior business model to Quibi. Quibi relied on a small group of highly accomplished professionals, including industry legends such as Jeffrey Katzenberg and former eBay CEO Meg Whitman. Yet the model was constrained by the insights and decisions of a limited number of people. TikTok, by contrast, leveraged the creativity of the world and used algorithms to discover value wherever it emerged. As I noted years ago, virality compounds; human curation alone does not.

That same principle informs our investment in Exonic. Biology is generating enormous quantities of data across laboratories, research institutions, healthcare systems, genomic repositories, and scientific publications. Much of that information is noisy, fragmented, unstructured, and difficult for traditional models to interpret. Exonic’s thesis is that the next breakthroughs in synthetic biology, cell-type targeting, biological manufacturing, and life sciences will come not from a narrow set of curated datasets, but from learning across the broadest possible landscape of biological knowledge. In essence, Exonic wants to mine ideas from the world.

By combining insights from diverse biological sources with proprietary models and infrastructure, the company is building foundational AI systems for the emerging synthetic DNA age. Just as the internet unlocked the world’s information and AI unlocked the world’s content, biological AI may unlock the world’s biological intelligence.

Good People, the most powerful systems of the future will not merely use knowledge. They will aggregate, synthesize, and learn from knowledge generated by everyone. That is the promise of Exonic, and that is why Tekedia Capital wrote the cheque.

Software Stocks Rally as “SaaSpocalypse” Fears Ease: Investors Shift From “Replacement Risk” to “AI Enablement Trade”

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The so-called “SaaSpocalypse” narrative is losing momentum, at least in the near term, as software equities stage a broad rally driven by stronger-than-expected earnings and a reassessment of how artificial intelligence is reshaping enterprise demand rather than simply displacing it.

The rebound was anchored by results from Snowflake and Okta, which together helped reset expectations across a sector that had been heavily sold over fears that AI tools would commoditize traditional software layers.

The iShares Expanded Tech-Software ETF climbed 8% this week and closed May up 21%, its strongest monthly performance since October 2001. That comparison is not merely a historical curiosity. The earlier period reflected a post-bubble rebound, while the current move is occurring amid structural uncertainty about whether AI represents substitution or expansion for enterprise software demand.

For much of the past year, sentiment has been dominated by concerns around “vibe coding”, a shorthand for AI systems from companies such as OpenAI and Anthropic that allow users to generate applications with minimal traditional programming. That trend raised the prospect that application-layer software firms could face erosion in pricing power and slower developer-driven demand.

This week’s earnings cycle complicated that view.

Snowflake delivered the most forceful counterargument. The company surged nearly 50% over four sessions after announcing a $6 billion cloud and chip partnership with Amazon and raising guidance. The market reaction was not just about revenue upside, but about demand visibility: AI workloads appear to be increasing the intensity of data processing rather than reducing reliance on data infrastructure providers.

Chief Executive Sridhar Ramaswamy described accelerating customer adoption of AI tools that require more frequent data access, transformation, and orchestration.

“We’re also seeing customers deploy and scale workloads at a faster pace,” Ramaswamy told analysts on the company’s earnings call.

The implication is that AI is not bypassing data platforms; it is expanding their workload footprint.

Okta’s surge added another dimension. The company rallied 30% after reporting stronger results and framing AI as a driver of identity complexity rather than simplification. Chief Executive Todd McKinnon highlighted the rise of AI agents operating across enterprise systems, increasing the need for authentication, authorization, and machine-to-machine security controls.

“AI products are going to take longer, but every organization is going to build and deploy agents,” McKinnon told CNBC. “It’s fundamental infrastructure that’s going to be required over the next few years.”

That shift is becoming a broader theme in enterprise software: AI does not eliminate workflow layers, but it multiplies the number of actors, both human and non-human, interacting with those systems. That expands the surface area for security and governance tools.

The rally extended beyond single names. Atlassian gained 26% for the week, while ServiceNow advanced more than 20%, reflecting renewed investor confidence in workflow automation platforms that sit between enterprise systems and AI interfaces.

Consumer and enterprise application platforms also participated. Shopify, Workday, and Asana each rose at least 14%, suggesting a broad-based re-rating rather than isolated earnings-driven moves.

In the infrastructure-adjacent segment, Oracle jumped 16%, and Microsoft rose nearly 8%. Microsoft remains down about 7% year-to-date, underscoring that even within AI-exposed mega-cap software, performance is increasingly bifurcated between perceived beneficiaries and perceived disruptive layers.

The broader market interpretation is shifting. Earlier in the year, the dominant thesis was that AI would compress software margins by automating coding, reducing headcount needs, and lowering switching costs for enterprise customers. That view drove valuation compression across much of the sector.

The current re-pricing suggests a more nuanced framework is taking hold.

First, AI is reducing the cost of software creation but increasing the complexity of software deployment at scale. That favors platforms that manage data, identity, security, and orchestration rather than point applications.

Second, AI adoption is expanding the total volume of software usage inside enterprises, particularly through agents, automation layers, and continuous data processing. That increases consumption of backend infrastructure even if individual applications become easier to build.

Third, the distribution of value is shifting upward in the stack. Tools that sit closest to governance, compliance, and system integration are increasingly positioned as structural beneficiaries of AI rather than casualties of it.

Still, the rebound does not resolve the longer-term structural question. If AI continues to commoditize application development, pricing pressure could eventually migrate upward from low-end tools into higher-margin enterprise systems. The current rally reflects a repricing of risk, not a conclusion of the debate.

For now, however, investors appear to be moving from a “software displacement” narrative to an “AI enablement cycle” view. The difference is not semantic. It is driving capital flows back into a sector that, only weeks ago, was being positioned as one of AI’s primary casualties.

When Development Comes Home: Governor Alex Otti’s Visit to Ovim

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The Ovim Nation, without doubt the greatest community in the world, had the honour of welcoming His Excellency, Governor Alex Otti, OFR, to our community on Thursday.

Earlier in the day, His Excellency graciously gave me the podium to speak during the Third Anniversary Celebration of the Administration. For a village boy from Ovim, it was a truly special and humbling moment.

After the event, the Governor journeyed to my village where our people turned out in large numbers to welcome him and celebrate the commissioning of a newly completed road project. Distinguished sons of Ovim, including General Azubuike Ihejirika (former Nigeria’s Army boss) and General Ike Nwachukwu (former governor of Imo State), joined many others in receiving His Excellency.

During my remarks at the anniversary event, I told the Governor that the road he would later commission was one I used regularly as a young boy on my way to the farm. That road is more than a transportation corridor; it is part of our enterprise network. It connects Ovim to Acha, Ozara, and onward toward Enugu. To see it transformed today is to witness development touching people at the most personal level.

One of the roads was named after Admiral Ndubuisi Kanu (former governor of Lagos and Imo States), a distinguished son of Ovim and a patriot whose contributions to Nigeria and our community remain enduring. Though he has now joined the angels, his legacy continues to inspire future generations.

I thank His Excellency for his leadership and commitment to restoring hope and opportunity across Abia State. Borrowing from the timeless words of Dr. Nnamdi Azikiwe, which inspired the motto of the University of Nigeria, Nsukka, “To Restore the Dignity of Man”, Governor Otti’s administration is demonstrating what it means to restore the dignity of man and woman through purposeful governance.

Good People, Abia is working. And more importantly, Abia is proving that prosperity through enterprise is not merely an aspiration, it is becoming a reality.

Dollar, Energy, Gold, Stocks, & Treasury: The Global Markets as U.S.-Iran Ceasefire Hopes Linger

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The U.S. dollar steadied against major currencies on Friday but remained on track for a weekly decline as reports of progress toward extending a ceasefire between the United States and Iran reduced safe-haven demand and weighed on oil prices.

Sources familiar with the matter told Reuters that the two sides have largely agreed on terms to extend the truce for another 60 days and reopen the Strait of Hormuz to shipping, while negotiators tackle thornier issues such as Iran’s nuclear program. The deal still requires final approval from President Donald Trump.

This development helped ease some of the geopolitical premium that had supported the dollar earlier in the conflict, when it benefited from its status as the world’s primary safe-haven currency and the relatively limited direct exposure of the U.S. economy to imported energy inflation.

The dollar index, which measures the greenback against a basket of major currencies, was trading in a narrow range near 99, down 0.3% for the week after snapping two consecutive weeks of gains.

Currency Market Movements

The euro held steady at $1.1643, while the pound slipped 0.2% to $1.3418 after Bank of England Governor Andrew Bailey signaled there is no immediate need for rapid rate hikes to combat a recent jump in inflation.

The Australian dollar was little changed at $0.7160, while the New Zealand dollar rose 0.5% to $0.5968, extending a recent rally after the country’s central bank governor indicated earlier and steeper rate hikes were likely.

Kirstine Kundby-Nielsen, senior analyst at Danske Bank, said the near-term path for the dollar appears softer.

“In the near term, you’ll likely see a weaker dollar,” she said.

However, she expects the greenback to strengthen against the euro over the longer term due to divergent growth trajectories, expansionary U.S. fiscal policy, underlying inflationary pressures linked to AI infrastructure buildout, and a still-resilient American labor market.

Oil Prices Ease but Remain Elevated

Brent crude futures fell for a third consecutive day, trading near their lowest level since mid-April. U.S. West Texas Intermediate futures also declined, though both benchmarks remain well above pre-conflict levels. The market has been highly sensitive to headlines, swinging between optimism over potential peace and concern over depleting global inventories as flows through the Strait of Hormuz have slowed to a trickle.

“The optimism of a relatively imminent truce and bearish rhetoric whenever Brent approaches $110 prevents oil prices from rallying significantly higher,” PVM Oil Associates analyst Tamas Varga noted

Bond Yields and Inflation Dynamics

U.S. Treasury yields resumed a modest climb after a brief pause, reflecting persistent concerns about the inflationary impact of elevated energy prices. The 10-year note yield rose to around 4.60%, while longer-dated bonds also edged higher. European government bond yields remained elevated but showed limited movement.

Data released earlier in the week showed U.S. inflation rising at its fastest pace in three years in April, driven largely by higher energy costs tied to the Iran conflict. This has reinforced expectations that the Federal Reserve will keep interest rates unchanged well into 2027, with some pricing in the possibility of further hikes if inflation proves sticky.

Stock Markets Mixed Amid Geopolitical Developments

European stocks rose modestly on Friday as investors assessed the prospects for an extended ceasefire. The pan-European STOXX 600 gained around 0.45%, with most sectors and major bourses in positive territory. Defense stocks extended their recent rally, supported by ongoing geopolitical risks and increased NATO-related spending expectations. Creotech Instruments and Airbus were among the top performers in the sector.

Asian markets closed mostly higher overnight, with South Korea’s KOSPI and Japan’s TOPIX hitting fresh record highs, reflecting continued optimism around technology and AI-related themes despite regional geopolitical concerns.

Gold and Precious Metals

Gold rose for a second straight session on ceasefire hopes, though it remained on track for a monthly decline as broader inflation concerns and higher interest rate expectations continued to weigh on the metal. Spot gold climbed 0.6% to $4,519.64 per ounce. It had fallen to a two-month low of $4,365.76 earlier in the week.

“Gold bounced from a key technical support level, while optimism over the ceasefire extension pushed oil prices and the dollar lower — both supportive for bullion,” Phillip Streible, chief market strategist at Blue Line Futures, said.

However, he noted that the “higher-for-longer” interest rate theme remains largely intact, as disruptions to shipping and energy infrastructure could keep oil prices elevated and the Federal Reserve cautious.

Spot silver fell 0.2% to $75.51 per ounce, platinum steadied near $1,923.55, and palladium gained 0.6% to $1,375.57.

The bottom line: The market’s reaction this week indicates once again that a durable extension of the ceasefire and reopening of the Strait of Hormuz would likely ease some inflationary pressures globally, support risk assets, and potentially allow central banks more flexibility. However, even a temporary deal may not fully resolve underlying supply concerns, meaning energy prices and inflation expectations could remain elevated for some time.

For the dollar, the near-term softening is seen as an indication of reduced safe-haven demand, but longer-term strength drivers, including relative U.S. growth advantages and fiscal dynamics, remain in place.