Cryptocurrencies in Picture as JPMorgan Trims Non-Oil Growth for Gulf Economies

TheNewsCrypto2026-03-02 tarihinde yayınlandı2026-03-02 tarihinde güncellendi

Özet

JPMorgan has reduced its non-oil growth forecast for Gulf economies, citing ongoing Middle East conflicts. This has drawn attention to cryptocurrencies, which may face further declines, with Bitcoin potentially dropping to $60,000 by 2026. Current market conditions, including stronger safe-haven assets like Gold and the US Dollar, are contributing to the bearish outlook. Additionally, factors such as Federal Reserve rate decisions, inflation data, and geopolitical tensions are expected to influence the crypto market. The article emphasizes that this is not financial advice and encourages thorough research.

JPMorgan has trimmed its forecast of non-oil growth for Gulf economies. This has brought cryptocurrencies into the picture due to the ongoing Middle East conflicts. While the cut is mild, the impact could rather be broader than expected, given that Iran is one of the biggest oil producers in the world.

Reviewing Cryptocurrencies First

The effect on cryptocurrencies could lead to further declines – like BTC, which is estimated to go as low as $60,000 in 2026. For reference, the flagship cryptocurrency is trading at $66,301.04 at the time of writing this article. Cryptocurrencies are also expected to lose their grip, at least in the short-term, because Gold and Silver continue to remain alternatives as safe-haven.

Cryptocurrency price predictions are being revised accordingly. For instance, BTC was earlier estimated to surpass $80k by April 2026; however, it has been brought down to around $70,200. This is despite a volatility dropping from around 11% to approximately 6%.

Cryptocurrencies are also likely to be affected by the US Federal Reserve rate cut decision and/or the next inflation data. Moreover, artificial intelligence (AI) and tariffs gaining momentum could impact the digital asset sector too.

JPMorgan on GCC Non-Oil Growth Forecast

The middle-east conflict has brought JPMorgan back to the table to calibrate the non-oil growth forecast for GCC, the Gulf Cooperation Council. It has shortened the average growth by 0.3 percentage points. The biggest reduction has come for Bahrain and the UAE, each losing 0.5 percent points and 0.4 percent points, applicable in the same order.

The analyst has called this ongoing conflict elevated, adding that it is prevalent across multiple fronts. The final scenario would eventually depend on the outcome of the conflict.

JPMorgan has also taken a dig at rate cuts by the Bank of Israel. It has acknowledged the direct involvement of Israel to state that BOI may not cut rates in March 2026. Notably, JPMorgan had earlier expressed bullish sentiments for cryptocurrencies.

US Dollar and Gold Amid the Conflict

The US Dollar has gained strength on the index. It is up by 0.63% at 98.260 when the article is being drafted. That further reflects a strength of 0.40% over 5 days and 2.18% in a month.

Gold is also under the spotlight since gaining 2.18% over 24 hours. The precious metal is now trading at $5,391.620 per ounce after briefly hovering around $5,250. Such a surge in Gold prices is sliding the interest of investors away from risky ventures, like the crypto market.

The content of this article is neither a recommendation nor advice. Thorough research and risk assessment are strongly suggested.

Highlighted Crypto News Today:

Bitcoin Price Holds Steady as Iran Conflict Pushes Oil and Gold Higher

TagscryptocurrenciesJPMorgan

İlgili Sorular

QWhy has JPMorgan revised its non-oil growth forecast for Gulf economies?

AJPMorgan has revised its non-oil growth forecast for Gulf economies due to the ongoing Middle East conflicts, which it has described as 'elevated' and prevalent across multiple fronts.

QWhat is the new price prediction for Bitcoin (BTC) by April 2026 according to the revised forecasts?

AAccording to the revised forecasts, Bitcoin (BTC) is now estimated to be around $70,200 by April 2026, down from a previous prediction of surpassing $80,000.

QWhich two GCC countries saw the biggest reduction in their non-oil growth forecasts from JPMorgan?

ABahrain and the UAE saw the biggest reductions, with Bahrain's forecast cut by 0.5 percentage points and the UAE's by 0.4 percentage points.

QHow have traditional safe-haven assets like Gold performed, and what effect does this have on cryptocurrencies?

AGold has surged, gaining 2.18% over 24 hours and trading at $5,391.620 per ounce. This increase in traditional safe-haven assets is sliding investor interest away from risky ventures like the cryptocurrency market.

QWhat are some of the factors, besides the Middle East conflict, that could impact the cryptocurrency market?

ABesides the Middle East conflict, the cryptocurrency market could be affected by the US Federal Reserve's rate cut decision, upcoming inflation data, and the growing momentum of artificial intelligence (AI) and tariffs.

İlgili Okumalar

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit7 dk önce

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit7 dk önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit11 dk önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit11 dk önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit11 dk önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit11 dk önce

İşlemler

Spot
活动图片