TAO, NEAR, and Other AI Cryptocurrencies Record Heavy Losses

TheNewsCryptoОпубліковано о 2026-03-19Востаннє оновлено о 2026-03-19

Анотація

TAO and NEAR, along with other major AI cryptocurrencies, have recorded significant losses in the past 24 hours. TAO dropped nearly 10.12% to $247.80, while NEAR declined by 5.53%. Other AI tokens like ICP and RENDER also fell by 4.16% and 7.02%, respectively. Despite these daily losses, some, including TAO and RENDER, still show weekly gains. Both TAO and NEAR are forecasted to decline further in the next three months. The broader market downturn coincides with reports that Iran is considering imposing transit fees on ships passing through the Strait of Hormuz, raising concerns about rising shipping costs and their potential economic impact.

TAO and NEAR have lost significant values in the last 24 hours. Their decline aligns with the general downtrend across the crypto market. However, many more AI cryptocurrencies have also shed their respective values. This comes at a time when Iran is considering imposing transit fees via the Strait of Hormuz – triggering high price concerns.

TAO and NEAR

TAO has lost almost 10.12%, going down to $247.80 when the article is being drafted. Even the hourly loss comes to 1.24% for a significant level. However, the Bittensor token has added 16.28% in gains over the last 7 days. It remains in the top position with a market cap of more than $2.67 billion.

Sailing on the same ship is the NEAR Protocol token, NEAR. It is down by 5.53% over a day and 0.10% over an hour. The AI crypto seems to have held its ground strongly compared to TAO at the moment. It still lags when talking about the weekly gain because the addition is only 2.05%.

Interestingly, TAO and NEAR are forecasted to decline in the next 3 months as well. The former could plunge by 23.08% to around $191.08. The latter could plummet by approximately 11.99% to $1.19 from $1.35.

Other AI Cryptocurrencies

Other top AI cryptocurrencies that are down are ICP and RENDER. They have lost 4.16% and 7.02%, respectively, in a single day. Their values now translate to $2.52 and $1.65, applicable in the same order. ICP stands out among the top 4 AI tokens, as it has recorded a weekly loss of 2.85%. RENDER, like TAO and NEAR, has recorded a gain of 3.09%.

FIL, the Filecoin token, also stands out with an hourly gain of 0.05%. Its weekly gain is decent at 5.34%, and loss over the last 24 hours stands at 3.95%.

Transit Fees by Iran

Iran is reportedly considering the imposition of transit fees for ships that pass through the Strait of Hormuz. If imposed, every passage will have to pay tolls and taxes to Iran, which could add to the total shipping cost.

This seems to be applicable to states that have sanctioned it. An official confirmation or update regarding the matter is awaited. The report, anyway, remains a concern, given that Crude Oil price and Brent have already reached $97.41 and $113.71, respectively.

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Пов'язані питання

QWhat are the percentage losses for TAO and NEAR in the last 24 hours?

ATAO has lost almost 10.12% and NEAR is down by 5.53% in the last 24 hours.

QWhat is the forecasted price decline for TAO and NEAR over the next 3 months?

ATAO is forecasted to plunge by 23.08% to around $191.08, and NEAR could plummet by approximately 11.99% to $1.19.

QWhich other top AI cryptocurrencies, besides TAO and NEAR, have recorded losses?

AOther top AI cryptocurrencies that are down are ICP, which lost 4.16%, and RENDER, which lost 7.02% in a single day.

QWhat global event is mentioned as a potential factor contributing to market concerns?

AIran is reportedly considering imposing transit fees for ships passing through the Strait of Hormuz, which could increase shipping costs and is a market concern.

QWhich AI token mentioned in the article has recorded a weekly loss?

AICP stands out among the top AI tokens as it has recorded a weekly loss of 2.85%.

Пов'язані матеріали

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

A new era is dawning for the server CPU (Central Processing Unit), driven by the shift from AI model training to large-scale reasoning and the rise of Agentic AI. This article explores how the CPU is reclaiming a central role in the AI data center. For years, the focus has been on the GPU (Graphics Processing Unit) for AI training. However, as AI moves to the inference and Agent phase—where tasks involve complex, multi-step reasoning, tool calls, and data management—the workload balance is flipping. Studies show CPUs now handle over 70% of the workload in Agentic AI, up from 10-30% in training. This is because Agent tasks generate massive intermediate data (KV Cache) that exceeds GPU memory, forcing it to be offloaded to the CPU's larger, more scalable memory pools. This increased importance is translating into market changes. Major players are taking note: NVIDIA launched its first standalone CPU line, Vera, based on ARM architecture and optimized for Agent performance. AMD doubled its server CPU market forecast to over $1200 billion by 2030. Analyst reports project the total server CPU market could reach $1700 billion by 2030, with AI-driven demand being a primary driver. Furthermore, the classic ratio of CPUs to GPUs in AI servers is rapidly changing, converging from 1:8 toward 1:1 for Agent deployments. This surge in demand has led to a rare industry-wide price increase of 10-15% for server CPUs from Intel and AMD, breaking a decade-long trend of "more performance for the same price." Demand is bifurcating into high-core-count CPUs for in-rack GPU support and moderate-core CPUs for standalone Agent task orchestration. In China, this global trend presents an opportunity for domestic CPU manufacturers like Hygon (海光信息) and Huawei Kunpeng, who are bolstered by both growing AI infrastructure needs and national policies promoting technological self-reliance ("xin chuang"). The maturity of their software ecosystems is also accelerating, evidenced by faster adaptation to new AI models. In conclusion, the narrative is shifting from a GPU-centric view to one where CPU-GPU synergy is critical. The CPU is no longer a peripheral component but a performance-defining bottleneck and a key growth driver in the AI hardware stack, opening a massive new market estimated in the hundreds of billions of dollars.

marsbit11 год тому

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

marsbit11 год тому

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