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.

Highlighted Crypto News Today:

US Court Dismisses Coinbase User’s IRS Summons Challenge

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

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.

marsbit8 хв тому

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

marsbit8 хв тому

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.

marsbit12 хв тому

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

marsbit12 хв тому

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.

marsbit12 хв тому

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

marsbit12 хв тому

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

A Coldcard hardware wallet exploit led to estimated losses of 1,367 BTC ($88.6 million), causing a spike in small Bitcoin transfers as users moved funds to centralized exchanges and other custody methods. In U.S. politics, the Clarity Act faces hurdles with time running out for a Senate vote, amid debates over ethics rules and crypto regulation. Major crypto firms like Coinbase reported disappointing Q2 earnings, while an analyst notes the industry is entering a significant consolidation phase, with revenue concentrating in a few dominant protocols like Hyperliquid and Pump.fun. Bitcoin's price decline continued, though some analysts suggest the market may have bottomed. Other news includes Telegram's legal troubles in Russia and Australia, layoffs at Pump.fun ahead of token distributions, and a White House staffer accused of insider betting leaving his post.

cointelegraph29 хв тому

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

cointelegraph29 хв тому

LATEST NEWS: Donald Trump makes a sharp statement regarding Iran! He has halted attacks

U.S. President Donald Trump announced he called off planned military strikes against Iran after Saudi Arabia, the UAE, Qatar, and Iran itself requested a delay. Trump stated the planned operation would have been large-scale and powerful but was suspended to allow time for diplomatic negotiations. He added that regional allies believe an agreement is near, with initial talks focused on security and reopening the Strait of Hormuz. Negotiations on Iran's nuclear program would follow once that is settled. The Strait of Hormuz is a vital global chokepoint for oil and gas shipments, and conflict there could significantly impact energy prices and world trade. Trump further announced that new talks with Iran will begin tomorrow. Separately, Trump commented on events involving the Japanese yen, stating the U.S. intervened in the market due to good relations with Japan, asserting Washington's consistent support for Tokyo and mutual economic benefits from the relevant rules. *This is not an investment recommendation.

cryptonews.ru2 год тому

LATEST NEWS: Donald Trump makes a sharp statement regarding Iran! He has halted attacks

cryptonews.ru2 год тому

Торгівля

Спот