August 2026 mARKet Update Summary

Moderated by Portfolio Manager Dan White, CFA, ARK's August 2026 Market Update opened with a macroeconomic overview by Cathie Wood, ARK's Chief Executive Officer and Chief Investment Officer. The broader discussion then turned to ARK's active trading philosophy, the competitive durability of the Mag Six in an era of disruptive innovation, open versus closed AI model economics, neocloud infrastructure returns, the implications of an Anthropic Initial Public Offering (IPO) for ARK's portfolios, SpaceX's path to $1 trillion in revenue, Cloudflare's positioning in the agentic internet, and the widely misunderstood dynamics of the stablecoin market. View the full webinar [HERE]

Can you explain how ARK approaches daily active trading?

Cathie Wood, Chief Executive Officer and Chief Investment Officer, explained that ARK uses the volatility inherent in its strategy as a source of alpha, not a source of risk. She noted that while ARK's portfolio turnover in terms of underlying names is historically low, the firm trades actively around price dislocations, taking profits when positions run and adding aggressively when they pull back sharply. Cathie used Tesla as a practical illustration: despite its top portfolio position for four to five years, ARK trimmed Tesla meaningfully in the $450–$500 range and bought aggressively when the stock fell to $100, a discipline Cathie characterized as capturing value from wide price swings without disrupting long-term conviction.

Years ago you said incumbents would be overtaken by startups. Does this apply to the Mag 6?

Cathie Wood discussed how the pattern of incumbent DNA failing to adapt to new technology platform shifts has played out repeatedly throughout her career—from IBM's difficulty cannibalizing its mainframe business during the PC era, to Nokia, Ericsson, and Blackberry missing Apple's redefinition of the smartphone. She argued that the same dynamic is at work today, with Apple standing out as the most at-risk Mag Six member, given what Wood views as Apple’s inadequate investment in AI and an over-reliance on its ability to simply join a technology wave it did not help create.

There is a lot of commentary out there on the Open versus Closed Model debate and token prices collapses. What is ARK's view?

Frank Downing, Director of Research, AI and Cloud, explained that ARK is not surprised by the decline in token prices, noting that cost declines of roughly 95% year-over-year—approximately 20x—for equivalent levels of AI capability are consistent with ARK's historical research and its Big Ideas analysis. Frank emphasized that falling prices do not signal market contraction: when token price declines are crossed with volume data, total spend and revenue across frontier model providers and cloud platforms continue to grow. He argued that the more meaningful question is whether businesses will spend more or less on AI as models improve, and that the answer is clearly more. On open versus closed models, the common assumption that open-source models are inherently cheaper is incorrect when evaluated against the Pareto efficiency frontier. 

How does ARK evaluate neocloud economics, and when will the infrastructure buildout start paying off? Please comment specifically on CoreWeave's recent earnings report.

Frank Downing described the neocloud sector as performing ahead of consensus expectations, driven by two dynamics the market had not fully anticipated: the useful life of older Graphics Processing Unit (GPU) generations is extending as demand outpaces supply, and the rise in GPU rental prices. Regarding CoreWeave, Frank highlighted two platform expansions that signal a durable, Amazon Web Services (AWS)-like business model rather than a commoditized compute rental business. He noted that CoreWeave's managed inference offering launched during the quarter and grew from $1 million to $150 million in annualized run rate revenue within a single quarter, with a target of $250 million by year-end. He also referenced a storage offering already at a $100 million run rate. Frank drew a direct parallel to Amazon's cloud evolution, beginning with commodity infrastructure and expanding into higher-margin, stickier platform services.

Anthropic is rumored to IPO in the next few months. When a name like Anthropic crosses from private to public at a near-trillion-dollar capitalization, how does that change its role in the ARK Venture Fund and ARK ETFs portfolios?

Cathie Wood explained the structural dynamic governing ARK Venture Fund's approach to portfolio companies that transition from private to public. The fund targets ~80% private and ~20% public holdings, so as a company crosses over and becomes accessible at public market economics, the natural tendency is to reduce that position and reallocate toward private companies. She noted that ARK has navigated seven such graduations to date, including SpaceX, and that the firm retains flexibility to hold public graduates if conviction remains high; the prioritization of private exposure is structural. On the ETF side, Cathie described how ARK used SpaceX's IPO and subsequent price weakness below the deal price of $135 as an opportunity to build to its target position size across the public funds.

During the first SpaceX earnings call, Elon said their internal goal is $1T revenue by 2030. Can you illustrate how this is possible?

Tasha Keeney, Director of Investment Analysis, Autonomous Technology and Robotics, explained that SpaceX's $1 trillion revenue target by 2030 is primarily anchored in its AI compute business, specifically its SpacexAI orbital compute infrastructure. She outlined that SpaceX has publicly targeted a cumulative 10 gigawatts of compute capacity by the end of next year, up from approximately 1.4 gigawatts today, and that Elon Musk has cited monetization rates of $30 to $50 per watt—materially above the $14 per watt implied by neocloud economics—based on deal pricing achieved to date. At that monetization rate, 10 gigawatts alone would support $300 to $500 billion in annual revenue, and SpaceX's longer-term plan targets a terawatt of orbital compute by 2030, which would make the $1 trillion goal achievable even under conservative assumptions.

Following its recent earnings reports, Cloudflare was initiated in ARKK. What did you see and hear that led to this investment?

Jozef Soja, Research Analyst, AI & Cloud, explained that ARK's decision to initiate a position in Cloudflare was driven by the company's unique positioning at the intersection of internet infrastructure and the emerging agentic economy. He noted that Cloudflare reported for the first time that non-human traffic on its platform has exceeded human traffic—a milestone that CEO Matt Prince projects could grow to a ratio of roughly 1,000-to-1 in non-human traffic's favor within five years. Jozef described Cloudflare's role as an intermediary between internet content and end users, enabling both efficient content delivery and security functions such as protection against Distributed Denial of Service (DDoS) attacks and, prospectively, against malicious agentic activity. Cloudflare's proposed monetization model for agentic internet traffic, which envisions charging AI agents a small fraction of a cent per content access event. He noted that while each transaction is tiny, the projected volume—between 10 million and 100 million transactions per second—would represent between 500 and 5,000 times Visa's peak transaction volume. 

In a recent X post, Lorenzo described Circle's story as widely misunderstood by the market. Please give listeners your updated Circle investment thesis.

Lorenzo Valente, Director Of Digital Assets, explained that he believes the stablecoin market is widely mischaracterized as fragmented when it is in practice a duopoly. He noted that of ~$300 billion in total stablecoin supply, roughly 90% is controlled by Circle (USDC) and Tether (USDT), and that the utility of a stablecoin is not a linear function of supply; a stablecoin with 10% of Circle's or Tether's scale does not possess 10% of their utility, but effectively zero, because it lacks the regulatory licenses, exchange integrations, global redemption infrastructure, and ramp connectivity that make a stablecoin genuinely functional at scale.

Conclusion:

At ARK, we remain focused on the convergence of transformative innovation platforms—artificial intelligence, robotics, energy storage, genomics, and blockchain technology—and the compounding effects that arise as these platforms interact. August's webinar reinforced a consistent theme: markets continue to underestimate both the pace and the scale of AI adoption, from the economics of neocloud infrastructure to the velocity of Anthropic's revenue growth to the emerging architecture of an agentic internet. We believe that companies investing aggressively in AI infrastructure today—whether hyperscalers, neoclouds, frontier model providers, or the financial rails needed to settle trillions of micro-transactions—are positioning themselves for returns that remain difficult for conventional financial analysis to model. As the wall of worry around AI's sustainability persists, we see it as consistent with every major technology platform transition we have studied, and we remain convicted that the opportunity ahead is larger, not smaller, than consensus expects.

Make sure to check out our In The Know video series for deeper insights.

Important Information

For purposes of this material, "neocloud" refers to a cloud infrastructure provider that specializes in renting GPU compute capacity for AI workloads, typically without the broader enterprise software and services businesses of legacy cloud providers. "Hyperscaler" refers to a large-scale cloud computing provider—such as Amazon Web Services, Microsoft Azure, or Google Cloud—that operates data center infrastructure at massive scale to deliver cloud services globally. "Mag Six" (or "Mag 6") refers to six large-capitalization technology companies—Apple, Microsoft, Alphabet, Amazon, Meta, and Nvidia—that are frequently grouped together due to their outsized market influence.

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