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US Spot Bitcoin ETFs Recorded 9-day Streak of Consecutive Inflows around April 14–24.

By
Paul Ugbede Godwin
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0

U.S. spot Bitcoin ETFs recorded approximately $263 million in net outflows, ending a nine-day streak of consecutive inflows that totaled roughly $2.1–2.12 billion from around April 14–24.

Fidelity’s FBTC led the redemptions with about $150.4 million outflows. Grayscale’s GBTC: ~$46.6 million out. Ark/21Shares ARKB: ~$43.3 million out. Smaller outflows from VanEck’s HODL and Bitwise’s BITB. BlackRock’s IBIT stayed flat despite high trading volume ~$1.93 billion, showing it absorbed pressure better than others.

Ethereum ETFs also saw outflows ~$50 million that day. Total assets under management for Bitcoin ETFs dropped to around $101–102 billion. This reversal came after strong momentum: April saw overall positive inflows estimated at $2.43–2.44 billion month-to-date at that point, one of the stronger months recently.

The nine-day streak was the longest since October 2024. Weekly inflows were solid ~$824 million for the week ending April 24, marking four straight weeks of net buying. Cumulative inflows across all spot Bitcoin ETFs reached the $58+ billion range. Bitcoin’s price action around then hovered in the $77K–$79K area with some reports of dips below $77K amid the flows turning negative.

ETF flows don’t move price in isolation—other factors like broader risk sentiment, Fed signals, derivatives positioning, and on-chain activity also played roles. Notably, large holders like MicroStrategy continued accumulating BTC separately. A pause or profit-taking after a solid run of buying. Outflows of this size were notable but not catastrophic compared to past volatility; markets absorbed similar or larger moves more easily than in 2022.

April remained net positive for inflows overall, with institutions via ETFs still a key demand driver. BlackRock’s IBIT dominance and high trading volumes suggest underlying interest persists even on flat and red days. Flows can be noisy day-to-day due to rebalancing, tax considerations, or macro events. Subsequent days reportedly saw continued mixed-to-negative flows another ~$90M–$148M outflows reported around April 28–29 in some updates.

These figures reflect creation and redemption activity, which directly impacts Bitcoin demand from the funds. If you’re watching for patterns: sustained multi-week inflows have historically supported price floors, while streaks of outflows can pressure sentiment. The market’s ability to absorb the $263M without a sharper drop highlights growing maturity and liquidity in the Bitcoin ETF ecosystem.

U.S. spot Ethereum ETFs have shown more volatility in flows than their Bitcoin counterparts in April 2026, with a strong mid-month inflow streak followed by recent outflows aligning with the broader market pause you mentioned for Bitcoin. Ethereum ETFs enjoyed a notable 10-day consecutive inflow streak ending around April 22—the longest since their July 2024 launch.

This momentum cooled toward month-end, mirroring Bitcoin’s reversal: April 27: -$50.4 million to -$50.48 million net outflows coinciding with Bitcoin’s -$263M day, for a combined ~$313M crypto ETF outflow. April 28: ~-$21.8 million; second straight negative day. April 29: ~-$87.7 million to -$87.8 million; third consecutive outflow day.

On April 24, there was a smaller rebound of about +$23.38 million before the streak of red days. BlackRock’s ETHA and ETHB often drive inflows; ETHA frequently in the tens of millions on positive days. Grayscale’s ETHE  consistently sees outflows as investors rotate to lower-cost alternatives like BlackRock and Fidelity funds. Fidelity’s FETH can swing both ways but contributed positively during the streak.

The week ending ~April 24 saw +$155 million net inflows for ETH ETFs; third consecutive positive week in some reports, though figures varied slightly by source; one noted ~$192M. BlackRock products led. Roughly $11.9B to $12.1B range as of late April, with total assets under management (AUM) around $13–14 billion representing 4.9–5.7% of ETH’s market cap at the time. This is significantly smaller than Bitcoin ETFs.

Earlier in April, flows were mixed: occasional outflows but building to multi-day positive runs by mid-month, with some days exceeding $67M–$127M. While Bitcoin ETFs had a strong April overall ~$2.4B month-to-date inflows before the late reversal and a 9-day streak ending April 27, Ethereum’s 10-day streak stood out as relatively stronger in relative terms during mid-April quiet periods for BTC flows.

However, ETH ETFs are more sensitive to rotations and have lower overall liquidity/scale. Both categories saw outflows on April 27, reflecting broader risk-off sentiment, profit-taking, or macro factors. ETH price hovered near $2,200–$2,300 during much of this period, with ETF buying providing some support as a mechanical floor against other selling pressures.

Outflows in late April contributed to softer sentiment but were not extreme in historical context. The recent 3-day outflow streak ~$50M + $22M + $88M signals a pause after accumulation, similar to Bitcoin. Day-to-day flows remain noisy due to rebalancing, fee differences, and institutional positioning shifts.

April was still net positive for ETH ETFs in weekly aggregates, continuing a recovery from earlier 2026 mixed periods. Institutional interest persists, especially in BlackRock products, but ETH trails BTC significantly in ETF scale and dominance.

 

 

MicroStrategy Opens Shareholder Vote to Change Dividend Payments on STRC to Semi-Monthly Basis

By
Paul Ugbede Godwin
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0

Strategy formerly MicroStrategy, ticker MSTR, has opened a shareholder vote to change dividend payments on its STRC preferred stock from monthly to semi-monthly.

Dividends would shift from once a month to semi-monthly, with no change to the annualized dividend rate reported around 11.5%. The total annual payout obligation stays the same; it’s just split into more frequent payments.

The company believes this would reduce reinvestment lag, improve liquidity, enhance market efficiency, dampen volatility around ex-dividend dates, and help stabilize the STRC price; often targeted near its ~$100 par/m and notional value. More frequent payouts could also make it more attractive for income-focused investors and improve its profile as collateral.

Definitive proxy filed around April 28, 2026; voting is now open. Shareholder meeting and vote completion: June 8, 2026. If approved, the first semi-monthly payment is expected on July 15, 2026 with a record date around June 30. Shareholders can typically vote through their brokerage account or by following instructions in the proxy materials.

STRC and MSTR shares may each carry voting rights on this matter—check the proxy for specifics on record dates and eligibility. STRC is Strategy’s high-yielding preferred stock tied to its Bitcoin treasury strategy; the company holds a massive BTC position. It has been popular for its yield in a structure that blends elements of equity and credit-like instruments. Recent metrics show it trading near $99.45 with an effective yield around 11.56%.

The proposal keeps the economics the same for holders while aiming for smoother trading behavior. This fits into Michael Saylor’s and Strategy’s broader digital transformation of capital, credit, and money narrative, where STRC serves as a yield-bearing instrument backed by Bitcoin holdings and cash reserves.

Dividend changes, voting outcomes, and tax treatment depend on approval and specific terms—review the official proxy statement and consult your own financial and tax advisor for personal implications. Yields and prices fluctuate with market conditions.

STRC distributions are currently treated as Return of Capital (ROC) for U.S. federal income tax purposes, not as ordinary dividends. This is the core tax feature highlighted by the company and analysts. Strategy states it has no accumulated earnings and profits (E&P) and does not expect to generate current E&P in the foreseeable future potentially 10+ years.

Without E&P, distributions on preferred stock like STRC are not classified as taxable dividends under U.S. tax rules. Instead, they are treated as a nontaxable return of the shareholder’s investment. For 2025, Strategy confirmed that 100% of distributions on its preferred equity including STRC were treated as ROC.

The company has indicated the same expectation for ongoing and future payments, including the April 2026 dividend and beyond. The shift to semi-monthly payments, if approved does not change the tax classification—distributions would remain ROC.

No immediate income tax on the cash you receive; the ~11.5% annualized distribution. Your cost basis in the STRC shares is reduced by the amount of the ROC distribution but not below zero. You only recognize tax later:When your basis reaches zero, further ROC distributions become taxable as capital gain in the year received.

Upon sale or redemption of the shares, your capital gain will be larger because the basis has been stepped down. This gain is typically long-term if you held the shares >1 year. Over time, basis declines. After roughly 8–10 years, depending on exact rate and any price paid above and below par basis could hit zero.

At that point, distributions turn taxable, and any sale would treat the full proceeds as gain. This creates tax deferral—you get cash flow now without current ordinary income tax—but it is not tax-free. The deferred tax is generally at long-term capital gains rates rather than ordinary income rates when eventually triggered.

Strategy files Form 8937 to report the return-of-capital impact on basis. You must track your adjusted basis yourself for when you sell. If Strategy ever generates sufficient E&P, distributions could be recharacterized as dividends, potentially qualified dividends eligible for lower long-term capital gains rates for non-corporate holders, or the dividends-received deduction for corporations.

The company has noted this possibility, though it currently does not expect it. Other technical rules like Section 305 deemed distributions from adjustments to liquidation preference or certain redemption features could trigger taxable events even without cash. Fast-pay stock rules might also apply in some scenarios. Brokers often apply U.S. withholding tax on distributions initially, treating them as dividends.

Since they are ROC, you may be able to recover or reduce the withholding by filing a U.S. non-resident return (Form 1040-NR) once Strategy confirms the ROC treatment for the year. Results vary by country and tax treaty—consult a cross-border tax advisor. Treatment may differ; some states conform to federal ROC rules, others may not.

ROC treatment is irrelevant inside these accounts—the deferral or exemption is already provided by the account type. Some investors prefer holding STRC in taxable accounts to benefit from the deferral. Lower basis increases capital gains tax on exit. Perpetual nature means no maturity, but Strategy can redeem under certain conditions including tax events.

Dividends are not guaranteed and can be adjusted monthly by the board. The company may not have sufficient cash to pay them. Tax expectations can change if E&P arises. This is a general overview based on Strategy’s public statements and filings as of early 2026. Tax rules are complex and depend on your specific situation.

Mark Cuban says AI favors those who use it to expand their capabilities, not those who outsource their thinking

By
Samuel Nwite
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0

Billionaire investor Mark Cuban says artificial intelligence is no longer a distant disruption but an active force reshaping how people learn, work, and compete—one that is already separating workers into two distinct camps.

Speaking on the Big Technology Podcast at the Dallas Regional Chamber’s Convergence AI event, Cuban drew a stark distinction between those who use AI to expand their capabilities and those who use it to avoid effort altogether.

“I think right now we’re bifurcating into two types of ways or two types of people that use AI — people who use AI so they don’t have to learn anything and people who use AI so they can learn everything,” he said.

That divide is emerging at a critical moment when companies across sectors are integrating AI into daily workflows, automating routine processes, and compressing timelines for decision-making. In that environment, the marginal value of human labor is shifting away from execution and toward interpretation. Cuban’s warning is that workers who fail to adapt risk being displaced not by AI itself, but by peers who use it more effectively.

“If you’re just using it just so you don’t have to do the work and it’s your drunk intern, you’re going to struggle,” he said, reiterating his view that AI can act as a powerful but unreliable assistant.

The analogy points to a broader operational risk: overreliance without oversight can degrade both output quality and individual competence.

This concern is echoed across the research and policy landscape. Vivienne Ming, chief scientist at the Possibility Institute, has warned that AI adoption is producing a growing cognitive divide, where a minority of users leverage it to sharpen their reasoning while a larger group becomes dependent on it for thinking. Over time, she argues, that imbalance could erode critical thinking skills at scale.

Innovation theorist John Nosta frames the issue as a reversal of the traditional learning process. By delivering fully formed answers instantly, AI tools can bypass the questioning and synthesis stages that underpin expertise. Meanwhile, Rebecca Hinds has described the phenomenon as an “illusion of expertise,” where users appear more capable than they actually are because the system is compensating for gaps in knowledge.

Cuban’s intervention brings those abstract concerns into sharper focus for the labor market. He argues that the real risk is not that AI will replace entire professions, but that it will hollow out roles built around repetitive or low-complexity tasks.

“If all you’re doing is reformatting, you know, or you’re answering a question yes or no, then you know you’re there’s a good chance you’re going to be replaced by AI,” he said.

That aligns with broader hiring trends. Employers are increasingly prioritizing workers who can combine domain knowledge with AI fluency, using tools to test assumptions, model outcomes, and synthesize information, rather than those who simply execute predefined tasks. The result is a shift in what constitutes productivity: speed alone is no longer enough; depth of understanding and judgment are becoming more valuable.

Cuban emphasized that AI’s limitations reinforce this shift. While models can process vast amounts of data and generate responses quickly, they lack contextual awareness and accountability.

“If you learn how to use these tools, and you know how to think critically, you’re curious, so you’re always learning, you’re always going to have a job because AI doesn’t know the consequences of its action,” he said.

That distinction between output and understanding is likely to define career trajectories in the coming years. Workers who treat AI as a cognitive partner, using it to explore ideas, challenge conclusions, and deepen expertise, stand to benefit from significant productivity gains. Those who rely on it as a substitute for thinking may find their roles increasingly commoditized.

There are also implications for organizations. As AI tools become ubiquitous, the competitive advantage shifts from access to capability. Companies will need to invest not just in deploying AI systems, but in training employees to use them effectively. Failure to do so could lead to uneven performance within teams, where a subset of workers drives disproportionate value.

Cuban concluded, noting that AI, in his view, is neither a universal threat nor a guaranteed opportunity. It is an amplifier.

“Those people who are curious and just want to keep on learning more, AI is phenomenal. You will always have an edge over everybody around you,” he said.

As adoption deepens, that edge may become the defining feature of the modern workforce—separating those who evolve with the technology from those who are overtaken by it.

Barclays said OPEC’s exit could accelerate oil supply growth from the UAE

By
Samuel Nwite
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0

The United Arab Emirates’ decision to exit the Organization of the Petroleum Exporting Countries marks one of the most consequential shifts in years within the producer alliance.

Abu Dhabi, OPEC’s fourth-largest producer, will leave the cartel on May 1, effectively freeing itself from production quotas that have long governed output levels under the broader OPEC+ framework. Analysts say the move signals a pivot toward maximizing capacity and attracting investment, particularly as the country seeks to scale its role in global energy markets beyond the constraints of collective supply management.

Barclays said the exit could accelerate oil supply growth from the UAE once current disruptions ease, arguing that the decision “could assure potential investors that the country’s economic recovery would not be constrained” by quota limits. The implication is that Abu Dhabi is positioning itself for a post-crisis environment where market share, rather than coordinated restraint, becomes the priority.

Yet the immediate market impact remains muted. The ongoing war involving the United States, Israel, and Iran has fundamentally altered the supply landscape, shifting the market’s focus away from institutional changes toward physical disruptions. Chief among these is the near paralysis of the Strait of Hormuz, a strategic chokepoint that handles roughly 20% of global oil and liquefied natural gas flows.

Tanker traffic through the strait has collapsed. Barclays estimates flows are down about 95% from last year, a contraction that effectively caps export capacity for Gulf producers regardless of how much oil they can pump. In that environment, the UAE’s newfound freedom to increase output is largely theoretical in the short term.

Tanker ?flow through the Strait of Hormuz remains muted “as the three-day moving average of about 3-4 crude oil and refined product (including LPG) ?vessels is down about 95% from last year,” ?the bank said.

ANZ Bank echoed that assessment, noting that oil prices are being driven primarily by geopolitics, inventory levels, and logistical constraints rather than shifts in cartel structure. Even without OPEC-imposed limits, the UAE’s ability to convert production capacity into exportable supply is constrained by the operating environment around the Gulf.

This dynamic explains why oil prices have continued to surge. Brent crude remains above $110 per barrel, while U.S. benchmark prices have crossed the $100 threshold, reflecting a sustained geopolitical risk premium. The rally is less about supply scarcity in a conventional sense and more about the fear of prolonged disruption to a critical artery of global energy flows.

Still, the UAE’s exit carries significant medium- to long-term implications. It exposes underlying tensions within OPEC+, where diverging national interests have become more pronounced. Producers with spare capacity and expansion ambitions, such as the UAE, have increasingly chafed under quotas designed to stabilize prices but limit individual growth.

By stepping outside the framework, Abu Dhabi gains flexibility. This means it can scale output in line with its investment cycle, pursue bilateral supply agreements, and respond more quickly to shifts in demand, particularly from Asia. The move also aligns with a broader effort to build influence across the energy value chain, from upstream production to downstream and global trading.

However, the decision also weakens OPEC’s collective leverage. The cartel’s effectiveness has historically depended on cohesion and compliance. A high-profile exit by a key producer risks encouraging further fragmentation, particularly if other members reassess the cost-benefit balance of coordinated cuts versus independent production strategies.

Also, in a post-crisis scenario where shipping routes normalize, faster UAE supply growth could place downward pressure on prices, especially if it coincides with output increases from other non-OPEC producers. That could complicate efforts by remaining OPEC members to manage the market through supply discipline.

More broadly, the development fits into an accelerating global energy realignment. The war in the Middle East has forced consuming nations to rethink supply security, diversify sourcing, and build resilience against geopolitical shocks. For producers, it has highlighted the importance of flexibility and control over both production and logistics.

The UAE’s exit from OPEC can be seen as a response to that environment. It has been interpreted as a bet that future competitiveness will depend less on collective action and more on the ability to act independently.

Implications of Anthropic Revenue Growth Flipping OpenAI

By
Paul Ugbede Godwin
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0

Recent reports highlight a notable shift in the AI race between Anthropic and OpenAI. According to a Wall Street Journal report from late April 2026, OpenAI fell short of several internal goals: It missed its target of 1 billion weekly active users for ChatGPT by the end of 2025. It also missed its yearly revenue target for ChatGPT, partly due to Google’s Gemini gaining significant market share late in the year.

In early 2026, OpenAI missed multiple monthly revenue targets, with rivals—particularly Anthropic—gaining ground in coding and enterprise segments. This has raised internal concerns, including from CFO Sarah Friar, about whether revenue growth can support OpenAI’s massive data-center and compute commitments reportedly hundreds of billions in future spending.

OpenAI has pushed back on the framing, calling aspects of the coverage overstated or clickbait, but the misses align with broader signs of slowing consumer momentum and intensifying competition. OpenAI’s last major funding valued it at ~$852 billion; a $122B round, making it one of the most valuable private companies ever.

Secondary market trading has hovered around $880B recently. Anthropic has shown strong growth, especially in enterprise and developer tools:Its annualized revenue run rate reportedly surged dramatically—from around $9B late 2025 to figures in the $30B+ range by early 2026 in some reports with claims of even higher momentum.

On secondary markets like Forge Global, Anthropic’s implied valuation hit ~$1 trillion in April 2026, surpassing OpenAI’s trading levels at the time. This reflects high investor demand for Anthropic shares, with some platforms showing it trading at a premium to OpenAI despite a much lower primary valuation from its February 2026 round ~$380B post a $30B raise.

This secondary market flip is what headlines often refer to—investors appear more bullish on Anthropic’s trajectory, growth rate, and positioning in higher-value segments like enterprise coding, where it has reportedly won significant share from OpenAI. Some reports note Anthropic considering even larger raises at valuations approaching or exceeding $900B.

OpenAI still leads substantially ~$852B vs. Anthropic’s ~$380B. Sentiment has favored Anthropic lately due to perceived faster growth, better enterprise traction, and perhaps a bargain multiple relative to hype around OpenAI. These are private company figures—highly volatile, based on limited share trades, and not the same as public market caps.

AI valuations overall remain extremely stretched, with massive burn rates and compute costs for both. The consumer chatbot space; ChatGPT vs. Claude vs. Gemini is fragmenting. Google has scale advantages; Anthropic is executing well on safety-focused branding and enterprise reliability; OpenAI still has enormous distribution and brand lead but faces execution pressure ahead of a potential IPO.

Both companies and the broader frontier AI sector are spending enormous sums on inference and training. Sustained revenue growth is critical to justify the capex. Missed targets amplify scrutiny on unit economics—many models are still loss-making at scale.
The WSJ report contributed to short-term dips in AI-related stocks, as investors questioned the pace of monetization.

This doesn’t mean OpenAI is in serious trouble—it’s still the category leader by most usage metrics—but it underscores a maturing, more competitive market where enterprise adoption, margins, and efficient scaling matter more than raw hype or early consumer wins. Anthropic’s rise shows there’s no guaranteed winner-takes-all outcome yet.

The AI race remains dynamic: technical progress, model releases, regulatory shifts, and actual profitability will matter far more long-term than any single month’s secondary trading blip. Both companies are pushing boundaries, which benefits users and the field overall.

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