Coinbase Institutional Has Concluded Crypto Investors Interviews

TheNewsCrypto2026-03-19 tarihinde yayınlandı2026-03-19 tarihinde güncellendi

Özet

Coinbase Institutional, in partnership with EY-Parthenon, has concluded interviews with 350 institutional crypto investors, revealing key market insights. The study found that 49% of participants are rethinking their market approach due to volatility, focusing more on risk management and liquidity. In terms of allocation, 73% plan to increase their digital asset investments this year, while only 1% intend to decrease. Stablecoins are gaining significant traction, with 86% of investors using or exploring them for money movement and internal cash management, citing 24/7 trading as a major advantage. Looking ahead, 61% of investors believe tokenization will transform trading, clearing, and settlement within 3-5 years. Regulation is viewed both as an accelerator for adoption and a potential roadblock due to lack of clarity. Market structure was the top regulatory concern for 78% of respondents.

Coinbase Institutional, in an X post, has informed the community that it has concluded interviews of institutional crypto investors. Their responses have shed light on several aspects of the crypto market. This includes, with no limitation whatsoever, volatility, allocation, and the usage of stablecoins.

Coinbase and EY-Parthenon

Coinbase, in association with EY-Parthenon, interviewed 350 institutional crypto investors. The objective was to cover their opinion on a variety of aspects of the crypto market. They went on to uncover insights into allocation intention and tokenization, along with other points.

Around 49% of the participants said that market volatility has urged them to rethink their approach to the market. They said that volatility has made them focus on risk management, liquidity, and position size.

In terms of allocation, the interview found out that 73% of them were aiming to increase digital asset allocation this year, with 1% planning to bring down their numbers. Almost 26% of the participants said that they would keep their allocations unchanged in 2026 – down from 33%.

More Outcomes by Coinbase Institutional

Coinbase Institutional has further explained in the X post that stablecoins are breaking new grounds. This is something that, per the post, goes beyond the trading arena. It concluded that 86% of investors were either using stablecoins or actively exploring them to move money. The perspective on money movement is accompanied by internal cash management.

A significant number of investors pointed out that 24/7 trading was an advantage of using stablecoins.

That said, the stablecoin sector is seeing a growing competition between DAI and USD1 in terms of market cap. USD1 has retracted as of now but holds a broad gap over PYUSD. USDT and USDC are at the top two positions, in the same order, on the list.

Investors’ Concluding Remarks

The last few remarks from investors are directed towards tokenization and regulation. Tokenization is expected to transform the market in the next 3-5 years, a tentative timeline. The highly affected areas could be trading, clearing, and settlement. Almost 61% of the investors tabled this opinion.

Regulation has got two different theories – it has been tagged as an accelerator and a roadblock. The favorable opinion is that regulations fuel adoption. The opposing argument is that the community still needs regulatory clarity.

Market Structure, chosen by 78% of the participants, is followed by licensing and tax treatment with 56% and 54% of the selection, respectively.

Highlighted Crypto News Today:

Chainlink (LINK) Weakens: Is a Breakdown Below $6 Imminent?

İlgili Sorular

QWhat was the main objective of the interviews conducted by Coinbase Institutional and EY-Parthenon?

AThe objective was to cover institutional crypto investors' opinions on a variety of aspects of the crypto market, including allocation intention and tokenization.

QWhat percentage of the institutional investors interviewed plan to increase their digital asset allocation this year?

A73% of the institutional investors interviewed plan to increase their digital asset allocation this year.

QAccording to the findings, what is the primary use or exploration of stablecoins by investors beyond trading?

A86% of investors were either using stablecoins or actively exploring them to move money, with internal cash management being a key perspective.

QWhat are the two different prevailing theories among investors regarding regulation in the crypto market?

AOne theory is that regulation acts as an accelerator that fuels adoption, while the opposing argument is that it is a roadblock and the community still needs regulatory clarity.

QWhat market transformation do a majority of investors expect from tokenization in the next 3-5 years?

A61% of investors expect tokenization to transform the market, particularly in the areas of trading, clearing, and settlement.

İlgili Okumalar

Zcash Bug Could Have Minted Unlimited ZEC Undetected

A critical vulnerability in Zcash's Orchard shielded pool, discovered by researcher Taylor Hornby on May 29, 2026, could have allowed an attacker to create an unlimited amount of undetectable counterfeit ZEC. The flaw, involving an under-constrained element in the Orchard circuit, existed from the pool's 2022 activation until an emergency fix was deployed by June 2, 2026. Hornby identified the bug using AI-assisted auditing tools and confirmed its exploitability in a test environment. Due to Orchard's privacy features, which hide transaction amounts and history, there is no cryptographic way to prove whether the vulnerability was exploited before the fix. While Shielded Labs assesses prior exploitation as unlikely, this uncertainty has sparked a debate on proving supply integrity in privacy-preserving systems. In response, Shielded Labs and other developers are exploring a network upgrade, potentially involving a new shielded pool and formal verification of the circuit rules to prevent future vulnerabilities and allow verification of the ZEC supply's integrity. ZEC's price fell nearly 45% following the disclosure.

bitcoinist3 dk önce

Zcash Bug Could Have Minted Unlimited ZEC Undetected

bitcoinist3 dk önce

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit1 saat önce

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit1 saat önce

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit1 saat önce

marsbit1 saat önce

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

In 2026, a historic shift occurred in AI as major cloud providers' inference spending surpassed training spending for the first time, signaling a move from "building large models" to "using large models." This shifts the core challenge from computing power to the "memory wall"—the bottleneck of data movement (model weights, activations, KV Cache) between external DRAM and processors, where energy and latency from data transfer far exceed computation itself. Companies like Nvidia face GPU idle time due to bandwidth limits. In contrast, Cerebras Systems adopts a radical "wafer-scale" approach with its Wafer-Scale Engine (WSE). Instead of cutting a silicon wafer into many chips, Cerebras uses almost the entire wafer as one massive chip (WSE-3). This design provides 44GB of on-chip SRAM, delivering memory bandwidth thousands of times higher than traditional HBM (e.g., 21 PB/s vs. Nvidia B200). For LLM inference, weights are streamed layer-by-layer from external MemoryX storage to the chip, avoiding HBM bottlenecks. This results in token generation speeds 1.5–5 times faster than Nvidia's B200 in some models and significant advantages in first-token latency and long-context tasks. Additionally, Cerebras's architecture offers much lower interconnect power consumption (0.15 pJ/bit vs. GPU's ~10 pJ/bit). However, Cerebras faces challenges: SRAM scaling has slowed with advanced nodes, limiting future capacity gains; the chip requires specialized liquid cooling and custom software stacks; and its external I/O bandwidth (150 GB/s) is low compared to NVLink, hindering multi-system scaling for very large models. Competition is intensifying. Major players are pursuing three paths: 1) Developing proprietary inference ASICs (e.g., Google TPU, Microsoft Maia), 2) Leveraging advanced packaging (e.g., TSMC's SoW) to democratize wafer-scale-like integration, potentially eroding Cerebras's process advantage within a few years, and 3) Exploring optical interconnects for ultimate bandwidth. Commercially, Cerebras is transitioning from a hardware vendor to a service provider, facing the immense challenge of building high-power, specialized data centers to meet large contracts (e.g., 250MW/year from 2026–2028). In conclusion, the AI inference era presents a fundamental architectural trade-off. Cerebras opts for extreme physical optimization for low-latency, single-task performance, while Nvidia prioritizes versatility and massive cluster throughput. The path forward remains uncertain, with technology and business models still evolving in the race toward advanced AI.

marsbit1 saat önce

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

marsbit1 saat önce

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

**Title: Has Bitcoin's Rebound Ended, Entering the Late Bear Market Phase?** **Summary:** Bitcoin's price has declined by 13% this week, signaling a potential return to late-stage bear market conditions. The price fell to around $67k, positioned between the Realized Price and Realized Cap Weighted Average. For the first time since early 2022, the Short-Term Holder cost basis has dropped below this key average, confirming a hallmark of late-cycle bear markets. Profitability metrics have collapsed sharply. The 7-day average of the Realized Profit/Loss ratio plummeted from a local high of 3.16 to 0.29, mirroring the February panic sell-off. Critically, the 90-day average never breached the threshold of 2, indicating the recent rally to $82k was a bear market bounce, not a structural shift. Realized losses surged to $1.35 billion daily, with $770 million coming from Long-Term Holders selling at a loss. This accelerating redistribution of supply from weak to strong hands is a necessary but ongoing process for a market bottom. The rally stalled almost precisely at the aggregate cost basis (~$83k) of US spot Bitcoin ETF investors, turning that level into strong resistance and leaving the average ETF holder underwater again. Spot market flows have turned decisively negative, showing sellers are dominating order books despite the price drop. While a significant futures long liquidation event cleared over $400 million in leverage, providing a potential reset, sustained spot demand is yet to materialize. Options markets continue to price in higher future volatility (Implied Volatility) than recent price action (Realized Volatility) has shown, with a persistent skew towards put options, indicating ongoing demand for downside protection. In conclusion, multiple metrics point to a fragile market structure. Resistance at the ETF cost basis, accelerating realized losses, dominant spot selling, and cautious options pricing all suggest the bear market trend persists. A sustainable recovery likely requires a resurgence of spot demand, ETF holders returning to profit, and a clear reduction in selling pressure.

marsbit1 saat önce

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

marsbit1 saat önce

İşlemler

Spot

Futures