How Weakening US Labor Data Could Impact Bitcoin Market — Report

bitcoinistОпубліковано о 2026-03-29Востаннє оновлено о 2026-03-29

Анотація

A report analyzes how weakening US labor data could negatively impact Bitcoin and broader financial markets. Citing analysis from Alphractal CEO Wedson, the article highlights a steep decline in the US labor force participation rate (LFP), an underrated macroeconomic signal. Historically, a falling LFP—indicating fewer people working, less consumption, and weaker economic output—has preceded downturns in the S&P 500. Similarly, Bitcoin has shown vulnerability to such macro stress, as seen during the 2008 crisis and the 2020 COVID lockdowns. The key risk for Bitcoin is a potential macro shock that triggers a risk-off sentiment, causing investors to flee to safety. Unlike in 2020, there is currently no massive liquidity injection to cushion this blow and propel prices higher. This bearish outlook is further supported by a steadily declining Coinbase Premium, indicating waning demand from US investors. At the time of writing, Bitcoin's price is approximately $66,750, down over 5% for the week despite a minor 24-hour gain.

The global macro environment has been one of the major defining factors in Bitcoin and the broader crypto market so far this year. From the brewing geopolitical tensions in the Middle East to the rising inflation expectations in the United States, the global financial markets have barely caught a break in 2026. A prominent market expert has come forward with interesting US labor data, breaking down how the rising macroeconomic pressure could impact Bitcoin and the broader financial markets.

Macro Shock Could Trigger Risk-Off Behavior Among BTC Investors

In a March 28th post on the X platform, Alphractal founder and CEO shared that the participation of the United States labor force has been in a steep decline over the past few weeks. According to the crypto pundit, the Labor Force Participation is one of the most underrated macroeconomic signals in the current market landscape.

Wedson highlighted the major trends of the Labor Force Participation over the last two decades and its impact on the S&P 500 index. According to the highlighted data, participation reached its peak around 2000, before collapsing during 2008 financial crisis, briefly recovering, and then falling to historic lows during the COVID-19 pandemic.

Source: @joao_wedson on X

As the labor force participation rate dwindled, the S&P 500 soon followed despite its initial show of resilience. The same can be seen for Bitcoin in the chart below, which seemed to succumb to the macro stress each time the LFP suffered a nosedive.

Source: @joao_wedson on X

Wedson noted that, before the “liquidity” flood sent the Bitcoin price to new highs, the market leader initially fell to cycle lows as the labor participation crashed during the COVID lockdown in 2020. What’s different now is that there’s no obvious liquidity fuel to take advantage in the current labor participation plunge.

Wedson wrote in his post:

A falling participation rate means fewer people working, less consumption, weaker real economic output. The stock market can diverge from that reality for a while but not forever.

According to the Alphractal founder, the specific risk for Bitcoin is a macro shock that triggers a risk-off behavior among investors, with most market participants fleeing to safety before the next accumulation phase begins. And, as rightly baked in the steadily-declining Coinbase Premium, the demand for BTC among US investors seems to be in a steady downturn.

Bitcoin Price Overview

As of this writing, the flagship cryptocurrency is valued at around $66,750, reflecting a roughly 1% jump in the past 24 hours. The single-day action has not been enough to wipe out losses from the past week, which still stand at more than 5%.

The price of BTC on the daily timeframe | Source: BTCUSDT chart on TradingView

Пов'язані питання

QWhat is the main macroeconomic factor discussed in the article that could impact the Bitcoin market?

AThe weakening US labor data, specifically the decline in Labor Force Participation, is highlighted as a major macroeconomic factor that could impact the Bitcoin market.

QAccording to the expert, what does a falling labor force participation rate indicate for the economy?

AA falling labor force participation rate means fewer people working, less consumption, and weaker real economic output.

QWhat specific risk does the Alphractal founder identify for Bitcoin in the current market environment?

AThe specific risk for Bitcoin is a macro shock that triggers a risk-off behavior among investors, causing them to flee to safety.

QHow did the article describe the current demand for Bitcoin among US investors?

AThe demand for BTC among US investors is in a steady downturn, as indicated by the steadily declining Coinbase Premium.

QWhat was the price of Bitcoin at the time of writing, and what was its weekly performance?

AAt the time of writing, Bitcoin was valued at around $66,750, reflecting a weekly loss of more than 5% despite a 1% gain in the last 24 hours.

Пов'язані матеріали

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

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Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

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