Why capital is not flowing into crypto even as Global M2 explodes

ambcrypto2026-03-01 tarihinde yayınlandı2026-03-01 tarihinde güncellendi

Özet

Despite record levels of global M2 liquidity reaching approximately $135 trillion, capital is not flowing into the cryptocurrency market. Instead, it is moving towards traditional safe-haven assets like gold and silver, which have seen significant rallies. The broader market, including Bitcoin and Ethereum, has experienced substantial declines and remains under bearish pressure. This shift is largely driven by ongoing macroeconomic strains and geopolitical tensions, prompting investors to prioritize capital preservation over speculative crypto investments. While some crypto exchanges are diversifying into traditional assets to capture wider capital flows, the crypto market has not yet benefited from the global liquidity expansion.

The broader cryptocurrency market remains under pressure as capital outflows extend over several months.

The decline has been evident across leading digital assets. Bitcoin [BTC] dropped from $126,000 to $67,000, while Ethereum [ETH] fell from roughly $4,980 to $1,990 at press time.

Several other altcoins have recorded similar drawdowns, erasing close to 30% of their prior gains and reinforcing the ongoing bearish structure.

Despite this weakness, macro liquidity conditions tell a different story.

Global liquidity climbs to record levels

Global M2, commonly used as a proxy for worldwide liquidity, continues to expand.

M2 measures the pool of relatively liquid money across major economies. It includes physical cash, checking deposits, savings deposits, and money market funds—capital that can be quickly deployed into financial markets.

Recent data shows that global M2 has climbed to approximately $135 trillion, marking a fresh all-time high.

Historically, rising liquidity increases the amount of deployable capital within the system. In risk-on environments, this excess liquidity often finds its way into higher-yielding and more volatile assets.

Bitcoin, Ethereum, and the broader altcoin market fall squarely within that category.

However, the recent 4.35% rebound in total crypto market capitalization to $2.31 trillion does not yet confirm a sustained bullish reversal. Liquidity may be expanding, but it is not decisively rotating into digital assets.

Safe havens attract the flow

To understand where capital is moving, investors often examine precious metals.

At the time of writing, gold has rallied 19.9% from its low of $4,402 per ounce on the 2nd of February, sustaining strong upside momentum. Silver has also advanced, climbing from $71 to $94 over the same period.

These gains are notable because both assets function as traditional safe havens. During periods of macroeconomic strain or geopolitical tension, investors tend to prioritize capital preservation over speculative exposure.

With tensions persisting between the United States and Iran, defensive positioning has strengthened.

This rotation suggests that the expanding M2 supply may currently be supporting safe-haven demand rather than high-volatility crypto assets.

Data from Hyperliquid reveals that at least one trader has opened a combined $37.3 million short position across gold and silver—$28 million against gold and $9.23 million against silver—anticipating a pullback.

While this signals that some market participants view metals as overvalued, price action remains structurally bullish for now.

Exchanges broaden their reach

Meanwhile, crypto platforms are adjusting to softer trading activity.

Kraken and Coinbase have expanded their product offerings to include select stocks, commodities, and other traditional instruments.

This strategic diversification reflects an effort to capture a wider share of global capital flows as crypto volumes fluctuate.

Over the long term, such integration could strengthen capital access when risk appetite returns.

For now, however, liquidity expansion alone has not translated into sustained crypto upside. Capital appears to favor defensive assets, leaving digital markets in a holding pattern despite record global M2 levels.


Final Summary

  • Global liquidity is rising, but gold and silver are outperforming crypto assets.
  • The crypto market has yet to meaningfully benefit from expanding global M2.

İlgili Sorular

QWhat is the current trend in the broader cryptocurrency market, and how long has it been under pressure?

AThe broader cryptocurrency market remains under pressure with capital outflows extending over several months.

QDespite the expansion of global M2 to a record high, why hasn't this liquidity translated into a sustained bullish reversal for crypto?

AThe expanding liquidity is currently supporting safe-haven demand (like gold and silver) due to macroeconomic strain and geopolitical tensions, rather than flowing into high-volatility crypto assets.

QWhich traditional safe-haven assets have seen significant gains, and what are their approximate price increases?

AGold has rallied 19.9% from its low, and silver has climbed from $71 to $94, showing strong upside momentum as traditional safe havens.

QHow have major crypto exchanges like Kraken and Coinbase adapted to the softer trading activity in the crypto market?

AThey have expanded their product offerings to include select stocks, commodities, and other traditional instruments to capture a wider share of global capital flows.

QWhat does the $37.3 million short position against gold and silver indicate about some traders' views on these metals?

AIt indicates that some market participants view gold and silver as overvalued and are anticipating a pullback, though the price action remains structurally bullish for now.

İlgili Okumalar

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit9 saat önce

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit9 saat önce

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit10 saat önce

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit10 saat önce

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit11 saat önce

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit11 saat önce

İşlemler

Spot
Futures
活动图片