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  • 💸 Goldman Sachs applied for a Bitcoin ETF, a yield product.

💸 Goldman Sachs applied for a Bitcoin ETF, a yield product.

PLUS: The US-China AI gap has effectively closed, according to Stanford.

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Cryptopolitan News
April 15, 2026 • Estimated Reading Time: 5 minutes

Goldman Sachs just applied for a Bitcoin ETF. Not a spot fund but a yield product. That distinction is more important than you realize.

The Bitcoin ETF narrative has marched to the same tune for two years. Institutions want exposure. They buy a spot fund. Another few hundred million flows into BlackRock. Repeat.

Goldman Sachs just took out something entirely different.

The Goldman Sachs Bitcoin Premium Income ETF, which was filed with the Securities and Exchange Commission on Tuesday, is not designed for the person who wants Bitcoin.

It is designed for the investor who desires yield from Bitcoin, without desiring too much Bitcoin. Think pension funds. Wealth management accounts. The income-oriented institutional capital that has been watching the crypto rally, not because they still do not believe in the asset but rather could justify holding something that moves 20%+ a week paired with literally no cash flow.

Goldman is seeking to change that.

How the fund actually works

Once you can wrap your head around the covered call model, the structure is simple. At least 80% of the funds assets are in spot Bitcoin exchange-traded products. It then sells call options tied to that exposure, collecting premiums from buyers who are wagering Bitcoin will rise above a designated price. Those premiums are worked into income paid to shareholders.

If Bitcoin is flat or has a small rise, the fund retains the entire premium, and outperforms a plain spot ETF. If Bitcoin rips between now and that expiry, the upside is capped by the amount of those options because Goldman has already sold that upside to the option buyer. The overwrite level falls between 40% and 100% of Bitcoin exposure, providing managers with a lot of leeway to dial down how much upside they trade away where markets are.

Goldman already uses this same playbook in equities. GPIX combines some S&P 500 exposure with written call options for about an 8% annual yield. GPIQ mimics the Nasdaq-100. The filing is rehashing the same strategy, but in Bitcoin for the first time.

ETF analyst Eric Balchunas put it on X in two words: “Boomer Candy.” Not dismissive. Accurate. This product is for the client seeking a yield-generating line item that just so happens to be in Bitcoin volatility, not for those chasing price. As Balchunas wrote in another comment: “No one who actually wants Bitcoin is going to buy this; no one who wants the upside.”

Why the filing is bigger than product

Goldman already has more than $1 billion in spot Bitcoin ETFs of other issuers, including BlackRock’s iShares Bitcoin Trust and Fidelity’s Wise Origin Bitcoin Fund. This is not a tentative toe-dip into crypto. It is a purposeful transition from being a consumer of the Bitcoin ETF market to becoming a supplier in it.

The timing is telling. Just days prior, Morgan Stanley unveiled its own spot Bitcoin ETF, which attracted $30.6 million in first-day inflows at the lowest expense ratio of any spot Bitcoin product on the market. An equivalent income fund from BlackRock has been lodged. An obvious battle for the next wave of bitcoin investment dollars, that income-seeking institutional capital that has yet to enter into the fray, is underway.

But the really interesting thing is what all of this says about where Wall Street believes the next wave of buyers comes from. Not retail traders chasing price. Institutions needing Bitcoin to act more like a bond.

For years, Bitcoin’s biggest liability pertaining to serious institutional adoption was volatility. Goldman just filed a product that makes that volatility into the thing it sells.

The earliest possible launch date, barring any objections from the SEC, would be late June 2026. It has not yet been assigned a ticker or given a fee.

POLL: Wall Street is now racing to launch Bitcoin ETFs. What does that tell you about where we are in the cycle?

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📊 Market Watch

1️⃣ Iran War and a $1 Trillion Tab And that is the good number.

Linda Bilmes, a Harvard professor who wrote the definitive cost study on Iraq, tells me she is "sure" more money will go to the Iran war than $1 trillion. The Trump administration’s official estimate for the first six days was $11.3 billion. Bilmes, taking all these factors into account, sets the real daily burn at $2 billion, and that’s before veterans care, debt service or the economic drag of persistently high oil.

In its worst-case scenario, global inflation reaches 6% with oil at $110 this year and growth slipping beneath 2%, which it describes as a near miss for global recession. Ken Griffin of Citadel was blunt on Tuesday: “Let’s assume the strait is closed for the next six to 12 months. The world’s going to be in a recession. That’s inescapable.”

2️⃣ Europe is running out of space to absorb the blow.

The EU still has a €22 billion higher energy bill since the war started. European governments are much more debt-constrained than when COVID swept through the continent, and even compared to when Russia shook Europe in 2022, which severely limits how much they can subsidise their way out of this one. The EBRD estimates $100 a barrel oil subtracts 0.4% from growth and adds 1.5% to inflation in its operating countries.

Its president this week warned of a “far more serious” economic impact if the war continues for a long time. The European Commission plans to relax state aid rules by the end of the month, and is working on an emergency arsenal of measures ranging from gas storage to temporary tax cuts and electricity grid upgrades. And none of it gets to the heart of the problem. The strait is still closed.

3️⃣ Washington just took steps to make stablecoin payments tax-free.

Under current IRS rules, every individual USDC or USDT transaction is a potentially taxable event, even when the price barely budges. The most recent draft of the PARITY Act cures that. It would mean no gain or loss recognition on stablecoin payments as long as the value of the token does not deviate more than 1% from its $1 peg and meets GENIUS Act requirements.

Gone is the previous $200 transaction cap, replaced by a stability-based test that is simpler and harder to game. The bill also allows recipients of staking to delay income recognition for up to five years. A White House economic analysis dated April 8 estimated that the ban on stablecoin yield would increase bank lending by only $2.1 billion and impose a welfare cost of $800 million on consumers.

The message from Washington is clear. The only open question is whether Congress will act before the 2026 election cycle runs out of time.

 🐥 Tweet of the day

AI highlights by our intern

Snl Internship GIF by Saturday Night Live

  • Anthropic built an AI model so capable at hacking it decided not to release it. Claude Mythos Preview, Anthropic's unreleased frontier model, has autonomously found thousands of zero-day vulnerabilities across every major operating system and every major web browser, including a 17-year-old remote code execution flaw in FreeBSD that grants full root access from the internet. Anthropic says it did not train Mythos for this.

    The capabilities emerged from general improvements in code and reasoning. They are not making it public.

  • Instead, Anthropic launched Project Glasswing. The initiative gives 12 partner organisations, including AWS, Apple, Microsoft, Google, Cisco, Nvidia, and JPMorganChase, restricted access to Mythos Preview for defensive security work. Anthropic is committing $100M in model usage credits and $4M in donations to open-source security organisations.

    The goal: patch as many critical vulnerabilities as possible before similar AI capabilities reach bad actors. Engineers with no formal security training asked the model to find vulnerabilities overnight and woke up to working exploits.

  • GPT-5.2 dropped this week and immediately set new benchmarks. OpenAI's latest flagship scores 55.6% on SWE-Bench Pro for real-world software engineering and 93.2% on GPQA Diamond for graduate-level science questions. The average ChatGPT Enterprise user reports saving 40-60 minutes a day. Heavy users report over 10 hours a week. OpenAI says the model now outperforms industry professionals on well-specified knowledge work across 44 occupations.

  • The US-China AI gap has effectively closed, according to Stanford. The 2026 AI Index, released this week, found that US and Chinese models have traded the performance lead multiple times since early 2025. The more alarming stat: the number of AI researchers and developers moving to the US has dropped 89% since 2017, with an 80% decline in the last year alone. The talent pipeline is narrowing at the same moment the competition is tightening.

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