NVIDIA CEO Jensen Huang Restores Confidence in the AI Sector, Will AI Cryptocurrencies Share the Sentiment?

TheNewsCryptoPublished on 2026-02-04Last updated on 2026-02-04

Abstract

NVIDIA CEO Jensen Huang has restored market confidence by dismissing concerns that AI will replace current technology, instead asserting that AI will coexist with and utilize existing tools. This comes amid a significant selloff in global tech stocks. While the broader crypto market remains sluggish, AI cryptocurrencies show mixed reactions: some, like TAO and NEAR, declined slightly, while others, including ICP and FIL, saw gains. Overall, the AI crypto sector's market cap rose slightly to $15.20 billion. Projections indicate high volatility ahead, with tokens like TAO potentially facing a correction, whereas NEAR may see an upswing. The general crypto market cap fell to $2.58 trillion.

Jensen Huang, NVIDIA CEO, has emphasized that AI would co-exist with current technology. Thereby restoring confidence of the market amid an increasing selloff. AI cryptocurrencies are currently down, but they could reverse the trend in the days to come. Overall, the crypto market remains sluggish as multiple macro factors enter the picture.

NVIDIA CEO on AI

NVIDIA chief Jensen Huang has dismissed concerns around the replacement of current software and tools by Artificial Intelligence, or AI. He called the idea illogical and clarified that, if anything, AI would continue using the tools and software used to create it.

Jensen further clarified that the latest breakthroughs in the sector entail usage of tools which are designed to be explicit, as reported by Reuters. NVIDIA’s chief’s statement comes at a time when stocks in India, Japan, & China plunged and recorded a hit in their respective value.

NIFTYIT dropped 6.3%, CSI Software Services Index lost 3%, and Japan’s Recruit Holdings fell by 9% while Nomura Research plunged by 8%. Also, at a time when Nvidia closed its Nasdaq at $180.34, down by 2.84%.

Mixed Reactions by AI Cryptocurrencies

AI cryptocurrencies have, so far, responded with mixed reactions. For instance, the leading AI token in terms of market cap, TAO, has lost almost 1.26% over the last 24 hours. NEAR, second on the list, has shed around 0.56% of its value during the same timeline. However, ICP and FIL have gained 1.73% and 1.54%, respectively.

The collective market cap has surged by 0.54% to $15.20 billion, and the 24-hour volume has jumped by 41.08% to $3.81 billion. All the values of AI cryptocurrencies are true at the time of writing this article.

Projections and Overall Crypto Market

TAO, for one, is estimated to have a 24.96% correction in the next month. This could take its value to around $145.28 amid a very high volatility of 12.15%. Similarly, NEAR has a high volatility of 12.10% but carries a bullish monthly upswing sentiment of 30.11% to approximately $1.56.

The crypto market, in general, is experiencing a sluggish run as most of the tokens are recording downturns in their respective values. BTC, a flagship crypto, has itself declined by 2.62% in the last 24 hours. The collective market cap of the segment is down by 2.06% to $2.58 trillion.

Highlighted Crypto News Today:

Polymarket Announces Free NYC Grocery Store and $1 Million Food Bank Donation

TagsAI CRYPTONVIDIA

Trending Cryptos

ctr
CitreaCTR
wstusdt
wrapped stUSDTWSTUSDT
apr
aPrioriAPR
ctx
Cryptex FinanceCTX
audio
AudiusAUDIO
comp
CompoundCOMP
mantra
MantraMANTRA
waxl
AxelarWAXL
bill
Billions NetworkBILL
pyth
PYTH (Pyth)PYTH
rune
THORChainRUNE
velodrome
Velodrome FinanceVELODROME
brev
BrevisBREV
cake
PancakeSwapCAKE
jst
JUSTJST

Related Questions

QWhat did NVIDIA CEO Jensen Huang emphasize about AI's relationship with current technology?

AJensen Huang emphasized that AI would co-exist with current technology, dismissing concerns about AI replacing current software and tools as 'illogical'. He clarified that AI would continue using the tools and software that were used to create it.

QWhat was the market reaction of major Asian stock indices following the concerns about AI?

AStocks in India, Japan, and China plunged. Specifically, NIFTYIT dropped 6.3%, the CSI Software Services Index lost 3%, Japan's Recruit Holdings fell by 9%, and Nomura Research plunged by 8%.

QHow did the top AI cryptocurrencies by market cap, TAO and NEAR, perform in the last 24 hours?

AThe leading AI token TAO lost almost 1.26% of its value, and the second-largest, NEAR, shed around 0.56% of its value over the last 24 hours.

QWhat are the projected price movements for TAO and NEAR in the next month according to the article?

ATAO is estimated to have a 24.96% correction, potentially reaching around $145.28. In contrast, NEAR carries a bullish monthly upswing sentiment of 30.11%, which could take its value to approximately $1.56.

QWhat is the overall state of the general cryptocurrency market as described in the article?

AThe overall crypto market remains sluggish, with a collective market cap down by 2.06% to $2.58 trillion. Most tokens are recording downturns, including Bitcoin (BTC), which declined by 2.62% in the last 24 hours.

Related Reads

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

A security vulnerability in Coldcard hardware wallets led to the theft of 1,367.05 BTC (approx. $89 million) from 4,585 addresses, according to Galaxy Research. The flaw, caused by insufficient randomness in seed phrase generation for specific firmware versions, triggered a massive migration of funds as users moved assets to new, secure wallets. This event caused the largest on-chain movement of small Bitcoin transactions since the FTX collapse, distorting key market indicators like active addresses and exchange deposits, and significantly dampening market sentiment. The incident also highlighted challenges in cybersecurity investigations, as researchers reported that safety guardrails on mainstream U.S. AI models hindered the analysis of attack patterns, forcing them to use an open-source Chinese AI model for forensic work. This underscores a dilemma in balancing AI security restrictions with the need for rapid response in tracing stolen crypto assets.

marsbit37m ago

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

marsbit37m ago

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit1h ago

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit1h ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbit1h ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbit1h ago

Suspected 4th Coldcard attack wave sweeps 389 Bitcoin: Galaxy’s Thorn

Coldcard hardware wallet users are facing a new wave of coordinated attacks targeting a firmware flaw, with researcher Alex Thorn flagging 218 recent transactions moving approximately 389 Bitcoin from potentially impacted addresses. The attack pattern shows a high rate of transactions targeting unique victim addresses, differing from previous waves. The vulnerability, which causes affected devices to generate weaker wallet seeds, is estimated to have impacted over 1,100 wallets, leading to around $90 million in Bitcoin stolen. Thorn advises affected users who control their keys may attempt to move funds with a higher-fee transaction before the attacker's transactions are confirmed.

cointelegraph1h ago

Suspected 4th Coldcard attack wave sweeps 389 Bitcoin: Galaxy’s Thorn

cointelegraph1h ago

Bitcoin Miners Are Waving the White Flag, But Their Stocks Are Soaring

Bitcoin miners are capitulating as evidenced by a sustained drop in network hash rate and a record-steep 19.9% decline in mining difficulty, signaling the shuttering of unprofitable machines. However, in a significant divergence from historical patterns, the stocks of publicly traded mining companies have soared, with one major player gaining over 430% in the past year, even as BTC's price fell roughly 46%. This surge is largely attributed to these companies pivoting toward the more lucrative AI narrative. Simultaneously, miners face a structural squeeze. Daily block reward revenue in BTC terms has hit a new all-time low following the latest halving, with current dollar-denominated daily revenue around $30 million compared to a longer-term average of ~$40 million. Fee revenue remains negligible, covering less than one block's subsidy over a 28-day average and accounting for only about ten minutes of the network's daily security budget. This capitulation cycle is unique: miner stress and crypto price weakness have decoupled due to alternative revenue streams (AI), while the long-term reliance on increasing bitcoin prices to offset shrinking subsidies continues, with fee income still far from filling the impending gap.

marsbit1h ago

Bitcoin Miners Are Waving the White Flag, But Their Stocks Are Soaring

marsbit1h ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.

活动图片

Top Questions