Crypto World
The Role of AI Chatbots in Modern HR Process Automation
Human Resources has evolved from an administrative function into a strategic driver of organizational performance. Yet, despite this shift, many HR teams remain burdened by manual processes, fragmented systems, and reactive workflows that do not scale with modern workforce demands. As organizations grow across geographies, compliance frameworks, and talent models, the complexity of HR operations increases exponentially. Traditional HR automation tools, built on rigid workflows and static portals, fail to deliver the responsiveness and intelligence required today.
This is where AI chatbots in HR are redefining how organizations automate, scale, and modernize HR operations. By partnering with an experienced AI Chatbot Development Company, enterprises can implement conversational interfaces powered by artificial intelligence to unlock a new era of HR process automation – one that is proactive, context-aware, and deeply integrated into core business systems.
The Limitations of Traditional HR Automation Systems
Before understanding the impact of AI chatbots, it is critical to examine why legacy HR automation approaches fall short.
Key Challenges in Traditional HR Operations
- HR systems operate in silos (HRMS, ATS, payroll, compliance tools)
- Employees struggle to navigate complex portals for simple queries
- Most HR workflows rely on email-based approvals
- Policy interpretation remains manual and inconsistent
- HR teams spend the majority of their time on repetitive support tasks
Despite digitization, HR remains process-heavy but intelligence-light. Automation exists, but decision-making and interpretation still require human intervention. This operational gap has created the need for HR automation using AI, where systems can understand, decide, and act without constant manual oversight.
How AI Chatbots Enable HR Workflow Automation at Enterprise Scale
Unlike traditional rule-based systems that rely on fixed keywords, modern AI chatbots are built to understand how employees naturally communicate. Powered by advanced language intelligence and enterprise integrations, they play an active role in automating HR operations rather than simply responding to queries.
Key Differentiators of AI Chatbots in HR
- Intent-based understanding, not keyword matching
AI chatbots use Natural Language Processing to accurately interpret employee intent even when questions are informal, incomplete, or phrased differently. - Context-aware conversations
By retaining conversation history and employee context such as role, location, and policy eligibility, chatbots deliver consistent and personalized responses without repetition. - Direct integration with HR systems
AI chatbots connect seamlessly with HRMS, payroll, ATS, and compliance platforms to retrieve real-time data and perform actions securely. - Built-in workflow execution
Beyond answering questions, chatbots can initiate and complete HR workflows, including leave applications, approvals, and record updates. - Active participation in HR operations
These capabilities allow AI chatbots to move beyond static FAQs and function as intelligent, action-driven components of end-to-end HR process automation.
Together, these capabilities form the intelligence layer that differentiates AI-powered HR solutions from traditional, rule-based HR software.
AI Chatbots for Employee Self-Service: Redefining HR Accessibility
One of the most impactful and widely adopted use cases of AI chatbots in HR is employee self-service automation. As organizations scale, HR teams are increasingly overwhelmed by repetitive, high-volume queries that do not require human intervention but still consume significant time and resources.
The Employee Experience Challenge
Employees regularly reach out to HR for routine requests such as:
- Leave balances and approval status
- HR policy explanations and clarifications
- Payroll and salary-related questions
- Benefits eligibility and coverage details
- Tax documents and compliance information
While these queries are essential, they are largely repetitive and manual, leading to slower response times, employee frustration, and reduced HR productivity.
How AI Chatbots Enable Self-Service at Scale
When integrated with core HRMS and payroll systems, AI chatbots for employee self-service can:
- Securely authenticate employees
- Retrieve real-time, role-specific HR data
- Interpret policies contextually based on eligibility
- Deliver instant, conversational responses
This approach significantly reduces dependency on HR support tickets while ensuring employees receive accurate, consistent, and timely information—anytime they need it.
HR Workflow Automation Using AI Chatbots
The true power of AI chatbots lies in their ability to execute HR workflows, not just provide information.
Examples of Automated HR Workflows
- Leave requests and approvals
- Attendance regularization
- Shift and roster management
- Policy acknowledgment tracking
- Employee exit and clearance processes
How Workflow Automation Works
Instead of navigating forms or sending emails, employees interact naturally:
Employee: “Apply for three days of leave starting Monday.”
AI Chatbot:
- Validates leave balance
- Checks policy rules
- Routes approval to the manager
- Updates HRMS automatically
This is HR workflow automation driven by conversation, fast, accurate, and scalable.
AI Chatbots for Recruitment: Automating Talent Acquisition at Scale
Recruitment is one of the most resource-intensive HR functions, making it an ideal candidate for automation.
AI Chatbots for Recruitment and Candidate Engagement
AI chatbots assist recruitment teams by:
- Engaging candidates 24/7
- Answering role-specific queries
- Screening candidates based on predefined criteria
- Scheduling interviews automatically
- Sending follow-ups and reminders
This improves both recruiter efficiency and candidate experience.
Intelligent Candidate Screening
Chatbots can evaluate:
- Skill relevance
- Experience thresholds
- Availability and location preferences
- Role alignment
By automating early-stage screening, recruiters focus on high-quality candidates instead of manual filtering.
AI Chatbots for Onboarding: Accelerating Time-to-Productivity
Once a candidate is hired, onboarding becomes the next critical HR challenge.
How AI Chatbots Improve Onboarding
AI chatbots guide new employees through:
- Document submission and verification
- Policy walkthroughs
- IT and access requests
- Training module assignments
- First-week task coordination
This structured, guided onboarding experience improves retention, engagement, and early productivity.
Payroll and HR Compliance Automation with AI Chatbots
Payroll and compliance processes involve high risk, strict regulations, and minimal tolerance for errors.
1. Payroll Automation Use Cases
AI chatbots can:
- Explain salary structures
- Break down tax deductions
- Track reimbursements
- Answer bonus and incentive queries
2. HR Compliance Automation
Chatbots assist with:
- Labor law interpretation
- Location-specific compliance rules
- Policy enforcement consistency
- Audit-ready interaction logs
This enables payroll and HR compliance automation with reduced manual dependency and lower risk exposure.
AI Chatbots for Internal HR Support and Knowledge Management
HR knowledge often exists in scattered formats, such as PDFs, intranets, shared drives, and emails.
Centralized HR Knowledge Access
AI chatbots for internal HR support act as a unified interface that:
- Retrieves policy documents instantly
- Interprets complex policy queries
- Escalates sensitive issues appropriately
- Provides role-specific guidance to managers and employees
This transforms HR from a reactive support function into a structured, intelligent service layer.
Enterprise Architecture for AI-Powered HR Solutions
Enterprise-grade HR chatbots require a robust technical foundation.
Key Components:
- Conversational AI and LLMs
- Secure HR data retrieval (RAG pipelines)
- HRMS, ATS, and payroll integrations
- Workflow orchestration engines
- Role-based access control (RBAC)
- Compliance logging and audit trails
Because of this complexity, most enterprises partner with an experienced AI Chatbot Development Company to design, build, and maintain these systems.
Data Privacy, Security, and Compliance Considerations
HR data includes sensitive personal and financial information. Any AI-driven HR system must prioritize security.
Best Practices
- End-to-end data encryption
- On-premises or private cloud deployment
- Zero data retention for AI models
- Access control by role and hierarchy
- Compliance with GDPR and regional labor laws
Without these safeguards, HR automation introduces operational risk.
The New Standard for HR Operations
As workforce structures grow more complex and distributed, organizations must move beyond basic digitization and embrace intelligent, AI-driven automation. AI chatbots are no longer optional add-ons; they are becoming the backbone of modern HR operations and a core component of enterprise HR workflow automation solutions. By enabling employee self-service, automating recruitment and onboarding, streamlining payroll and compliance, and strengthening internal HR support, AI chatbots deliver faster execution, consistent governance, and significantly improved employee experiences. The future of HR belongs to organizations that invest early in scalable, secure, and AI-powered HR solutions, setting new benchmarks for efficiency, agility, and workforce engagement.
Antier empowers enterprises to build next-gen AI-driven HR ecosystems as a trusted AI Chatbot Development Company, delivering secure, enterprise-grade chatbot solutions tailored for complex HR environments. With deep expertise in AI, automation, and system integration, Antier helps organizations transform HR into a strategic, future-ready function.
Frequently Asked Questions
01. How have HR operations evolved in recent years?
HR operations have shifted from being purely administrative to becoming a strategic driver of organizational performance, although many teams still face challenges with manual processes and fragmented systems.
02. What are the limitations of traditional HR automation systems?
Traditional HR automation systems often operate in silos, require manual intervention for decision-making, and rely on outdated workflows, making them less responsive to modern workforce demands.
03. How do AI chatbots improve HR workflow automation?
AI chatbots enhance HR workflow automation by using Natural Language Processing to understand employee intent, enabling proactive and context-aware interactions that streamline HR operations.
Announced at EthCC in Cannes, the upgrade enables institution-specific borrowing environments, structured credit products, and RWA-backed lending within a unified liquidity system.
Crypto World
Australia passes crypto regulation requiring exchanges to obtain financial services licenses
Australia passed legislation on Wednesday, creating its first comprehensive regulatory framework for digital assets that requires crypto exchanges and custody providers to obtain financial services licenses.
The Corporations Amendment (Digital Assets Framework) Bill 2025 cleared both houses on April 1, bringing firms that hold digital assets on behalf of customers into the existing Australian Financial Services Licence regime.
Australia’s bill creates two new regulated categories under the Corporations Act: digital asset platforms, which hold crypto on behalf of users, and tokenized custody platforms, which hold real-world assets and issue a corresponding digital token.
Operators of both must obtain an Australian Financial Services License from ASIC, bringing them under the same core rules as brokers or fund managers, including requirements to safeguard client assets, provide standardized disclosures, avoid misleading conduct, and maintain dispute resolution and compensation systems.
Instead of regulating crypto itself, the law targets the companies in the middle that control customer funds, aiming to reduce risks like commingling, insolvency, and misuse of assets that have caused losses in past crypto failures.
Research from the Digital Finance Cooperative Research Center and industry groups estimates Australia could generate as much as A$24 billion annually from tokenized markets, payments, and digital assets, roughly 1% of GDP. Under the previous regulatory path, the country was on track to capture just A$1 Billion of that by 2030.
A Kraken spokesperson said the law provides a “top-down signal” that Australia is serious about digital assets, adding that clearer rules would give firms confidence to invest and expand locally.
Kate Cooper, CEO of OKX Australia and co-chair of the Digital Economy Council of Australia, called the bill a “pivotal moment,” saying it establishes a foundation for institutional participation and long-term capital allocation.
Almonty’s tungsten mine in Sangdong, South Korea, in March 2026.
Almonty
BEIJING — The Iran war is squeezing a global commodities market already pressured by China’s export controls and stockpiling efforts.
Prices of three niche elements — tungsten, sulfur and helium — have climbed sharply in recent weeks.
While none of the commodities are traded as widely as oil, the surge indicates how ripple effects from the Middle East conflict could end up restricting production of the semiconductors that power artificial intelligence advances.
Tungsten, a metal nearly as hard as a diamond, creates the electrical connection in the core of a semiconductor chip. Sulfuric acid, a byproduct of sulfur, cleans chip wafers. Helium enables smooth production of semiconductors since the gas prevents unwanted chemical reactions in the manufacturing process.
Those are just some of the ways in which the three elements have become critical for modern manufacturing, including for defense.
Beijing started to ramp up its control over the critical supplies even before the Iran war started on Feb. 28, partly as tensions with the U.S. escalated over the last few years.
China started restricting tungsten exports just over a year ago, and in December called for tighter limits on sulfuric acid exports. Helium, a gas that’s difficult to store, saw the volume of Chinese imports rise by 15.7% in 2025, after a nearly 65% surge in 2024, according to Wind Information.
The Iran war and the ensuing constraints on the Strait of Hormuz, a critical Middle East shipping route for energy and chemicals, has tipped some oversupply situations into undersupply, while exacerbating existing shortages.
Prices of the three commodities have jumped in some cases by more than oil. The widely used fossil fuel has climbed by more than 50% in March, putting Brent on track for a record month.
“While the Chinese supply chain is being viewed as more resilient than many peers, the risk of disruption in chemicals as raw materials for manufacturers in selected segments is higher than expected based on the feedback,” Goldman Sachs analysts said in a report late last week, citing nearly 40 commodity-related meetings and site visits in China.
Tungsten
Tungsten hit a record high of over $3,000 late last week, marking a surge of well over 50% for the month and more than tripling in price since late December. That’s based on the industry benchmark called “ammonium para tungstate (APT)” in metric ton units, or MTU, from Fastmarket, as quoted by tungsten miner Almonty.
Almonty officially reopened a large tungsten mine in Sangdong, South Korea, earlier this month, and plans to start producing some tungsten this year at a project in the U.S. state of Montana.
The company’s CEO Lewis Black told CNBC that defense sector demand for tungsten has been “extremely strong” since the beginning of last year, but that there’s been no notable change despite the Iran war.
“There’s no material to stockpile. That’s probably the biggest change,” he said.
Sulfur
The price of sulfuric acid in Africa is now at least 30% higher than it was prior to the war, and is still rising, the Goldman Sachs analysts said, citing a local Chinese miner in Africa.
Other assessments point to a milder rise in prices.
China sulfur prices, including cost and freight, climbed by about 13% from early March to $621 per tonne as of March 26, according to S&P Global Platts.
“A 2-3 month effective blockade would likely become a severe supply shock, especially as freight/insurance stay elevated and Middle East-origin cargoes become harder to execute,” Pan Yuya, lead analyst for sulfur and phosphate raw materials at S&P Global Energy, and Isaac Zhao, senior principal analyst, China fertilizers at S&P Global Energy, said in a March 20 note.
The S&P analysts said that around 56% of China’s sulfur imports came from the Middle East in 2025.
“Even prior to the Middle East conflict, sulfur prices were rising sharply as the market tightened. With sulfur prices now at fresh record highs, the ‘super squeeze’ in this rather obscure commodity in supply warrants further examination,” HSBC analysts said in a March 16 report.
Helium
Helium prices have roughly doubled since the Iran war began, according to Fitch Ratings.
As most trading occurs through long-term private contracts between industrial gas suppliers and manufacturers, it is difficult to pinpoint industry-wide prices, said Shelley Jang, Fitch’s director of Asia-Pacific corporate ratings.
Iranian missile attacks this month crippled a key industrial center in Qatar, which produces about one-third of the world’s helium.
That implies helium supply won’t be restored anytime soon, pointed out Christopher Ecclestone, principal and mining strategist at Hallgarten & Company.
In one indication of further market tightness, prices of helium in China’s Henan province have reversed a downturn this year to climb from a Feb. 28 low of 545 yuan ($78.85) a bottle to 600 yuan ($86.81), according to Wind Information.
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Shortages caused by the Iran war are the latest supply chain disruption to rock global markets, which faced similar shocks from Russia’s invasion of Ukraine in 2022 and the Covid-19 pandemic. That’s pushed companies to diversify, and countries such as China to ramp up stockpiling plans.
“Access to supplies of certain physical materials where production and processing is concentrated in China will become more frequent topics of negotiations with Beijing,” Rhodium Group said in a March 24 report.
Limited price transparency also means the shortage could be worse than available numbers suggest.
Tungsten and helium prices have been surging, “but you don’t have anyone on the buy side saying, ‘oh my goodness, we don’t have enough product,’” Ecclestone said. “Defense contractors should have warehouses of tungsten, but they don’t.”
“The world has got lazy. It thinks life is like a supermarket, the product is a pack of cornflakes or a few tons of sulfuric acid,” he said. “The supermarket of commodities has had a few of the aisles chopped down.”
The ex-Blackstone team wants to move beyond crypto-collateralized loans and into ‘real economy credit’ as the tokenized RWA sector continues to grow.
Bitcoin has declined by about 50% this market cycle, far less than in previous cycles, Fidelity Digital Assets said, adding this trend could continue over time.
Bitcoin’s post-all-time-high drawdowns have historically been steep, at about 80% to 90%, but this cycle has been about 50%, Fidelity Digital Assets research analyst Zack Wainwright said Tuesday.
One can see the “diminishing returns” that have developed from cycle to cycle when looking at Bitcoin’s price performance from the perspective of the previous all-time high, he said.
“Each cycle has been less dramatic to the upside than the previous,” he said. “Downside risk has been less dramatic in 2026, the current cycle, as well,” he added.
Bitcoin’s price hit its current cycle low of just over $60,000 on Feb. 6, a decline of 52% from its Oct. 6 all-time high of about $126,000, according to TradingView. It is currently down 46% from its peak six months ago.
The previous cycle saw a much larger decline of 77%, from the 2021 all-time high of $69,000 to a bear market low just below $16,000 in November 2022.
Bitcoin may bottom in late September
Fidelity’s assessment that this Bitcoin cycle is notably shallower than prior cycles “indicates a maturing market with reduced volatility and stronger institutional confidence,” Nick Ruck, director of LVRG Research, told Cointelegraph on Wednesday.
“This shift signals that Bitcoin is changing from a speculative asset toward a more stable store of value, potentially paving the way for greater adoption in the future.”
Related: Bitcoin’s $10K range expected to hold until spot traders show up: Data
Meanwhile, Alphractal founder Joao Wedson observed Tuesday that Bitcoin’s top occurred 534 days after the last halving, a shorter span than in the previous cycle.
This “decaying pattern” across cycles suggests the historical bottom may occur between 912 and 922 days after the halving, which “points to a bottom in late September or early October 2026,” he said.
BTC is below key daily moving averages
Bitcoin remains below the key 50-day and 200-day exponential moving averages, two long-term trend indicators.
It is hovering at the 200-week EMA, around $68,000, which has served as a key level of support during previous market downturns.
Magazine: Nobody knows if quantum secure cryptography will even work
Consumers browse Huawei phones in a shopping mall in Yantai, Shandong Province, China on March 8, 2026.
Cfoto | Future Publishing | Getty Images
Huawei’s push to develop its own artificial intelligence chip has yet to drive the double-digit revenue gains of its peers, as Chinese companies strive to narrow the gap with the U.S. on AI.
Cloud computing revenue from external customers fell by 3.5% in 2025 to 32.16 billion yuan ($4.6 billion), Huawei said. The company is the second-largest cloud provider in mainland China.
While overall cloud revenue including internal customers rose by 4.8% to 72.8 billion yuan, the main ICT infrastructure segment reported revenue growth that slowed to 2.6%, down from 4.9% in 2024.
That’s the segment that would include Huawei’s self-developed Ascend AI chip solutions, meant to rival Nvidia. Huawei’s total ICT revenue for 2025 was 375.01 billion yuan.
The U.S. has restricted Chinese companies’ access to the most advanced Nvidia chips, while Beijing has urged tech self sufficiency at home.
Huawei’s decline in cloud revenue to external customers comes as ByteDance has rapidly grown its AI cloud business in China in the last several months, albeit from a small base.
The TikTok owner is reportedly ramping up access to high-end Nvidia chips in a partnership deal with a planned Malaysia data center. ByteDance and Alibaba also plan to place orders of Huawei’s new AI chip, Reuters reported last week, citing sources. ByteDance declined to comment. The two other Chinese companies did not immediately respond to a CNBC request for comment.
U.S.-developed AI tools are generally considered the most capable in the world, although some Chinese models have shown an edge in video generation. Not all U.S. AI models are officially accessible in mainland China.
Huawei’s modest cloud growth figures come amid rapid industry expansion worldwide and slower economic growth in China.
Globally, spending on cloud infrastructure services rose by 29% in the fourth quarter in a sixth-straight quarter of market expansion of more than 20%, according to Omdia. The firm predicts 27% cloud growth in 2026.
Earlier this month, Alibaba, the largest cloud computing company by market share in mainland China, reported a 36% increase in segment revenue to 43.28 billion yuan in 2025. Tencent said increased cloud service revenues domestically and internationally helped drive a 22% year-on-year increase in business services revenue in 2025.
Local promotions this month in China for AI tool OpenClaw have also encouraged many locals to download the agent and pay for related cloud and AI model services. China’s consumer spending has remained tepid since the pandemic.
Consumer revenue slows
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Huawei smartphones ranked first in China last year by shipments, up by 1.7%, according to Counterpoint. But the Chinese company lost ground to Apple toward the end of 2025 after the iPhone 17’s release.
For 2025 overall, the telecommunication giant reported revenue of 880.9 billion yuan, up 2%, on net profit of 68 billion, up around 8% from a year ago.
The company spent a record 192.3 billion yuan in research and development, or 21.8% of revenue.
“In 2025, Huawei’s overall performance remained steady,” Sabrina Meng, Huawei’s rotating chairwoman, said in a brief statement, which also expressed gratitude to customers, partners and employees.
The intelligent automotive solutions unit saw revenue of 45.02 billion yuan, with growth slowing to 72% year-on-year, down from a whopping 474.4% in 2024, as the autos business captured an initial surge in electric vehicles. Huawei partners with several automobile manufacturers for in-car software and driver-assist technology.
Bitcoin held gains above $68,000 as investors leaned into news that the US and Iran were ideating ways to end the war. Will markets hold their newfound bullishness?
Bitcoin (BTC) briefly jumped to $68,589, and US stock markets rallied as investors reacted to US President Donald Trump’s statements on considering options for ending the US and Israel-Iran war. Separate, unconfirmed comments attributed to Iranian President Masoud Pezeshkian also suggested that Iran may be looking for ways to end the war.
On Tuesday, reporting from The Wall Street Journal said that President Trump told his aides that he could consider ending the war in Iran, with the Straight of Hormuz remaining partially closed, but an official statement has not been given.
Unconfirmed reports also suggest that Iran’s president is looking for a way to exit the conflict with certain assurances being made by the US and Israel. Regardless of the accuracy of the statements from either president, the DOW gained more than 1,125 points, while the S&P 500 and Nasdaq gained 2.91% and 3.83%, respectively.
Despite the strong performance seen across markets, Cointelegraph reported that crypto traders are skeptical of Bitcoin holding its current gains. Analysts suggested that a daily close above the 50-day moving average and $68,879 are key to establishing an early trend change and potentially clearing overhead short liquidity, which could trigger a liquidation-driven rally to $82,000.
Related: Bitcoin hits $68K but BTC futures, macro data show traders remain bearish
A lack of confidence is the current culprit
Beyond US macroeconomic conditions and the forecasted longer-term negative impact of the US and Israel-Iran war on energy, goods and services costs, the weakness of spot demand in the Bitcoin market continues to cap most price breakouts.
As shown in the chart below, open interest in the Bitcoin futures market, along with spot demand have remained relatively flat since the Feb. 6 sell-off below $60,000. This suggests that a majority of the price action is driven by news headlines, equities and perpetual futures markets, as the absence of investors making sustained directional bets in each market (futures and spot) leaves BTC price range-bound.
Earlier reporting from Cointelegraph also highlighted short-term traders holding positions below their cost basis ($85,800) and stablecoin inflows to crypto exchanges near a two-year low, further evidence that traders remain extremely cautious and are electing not to take strong directional bets in the market.
This article is produced in accordance with Cointelegraph’s Editorial Policy and is intended for informational purposes only. It does not constitute investment advice or recommendations. All investments and trades carry risk; readers are encouraged to conduct independent research before making any decisions. Cointelegraph makes no guarantees regarding the accuracy or completeness of the information presented, including forward-looking statements, and will not be liable for any loss or damage arising from reliance on this content.
Key takeaways:
-
Solana outperforms Ethereum in high-revenue DApps, providing a fundamental cushion against recent price drops.
-
Rising Ethereum Layer-2 dominance challenges SOL as traders monitor the critical $80 support level for a retest.
Solana’s native token, SOL (SOL), faced an 11% correction following a rejection at $93 on last Wednesday. SOL has lagged the broader cryptocurrency market over the past week, testing the $80 support on multiple occasions. Solana network fees have also declined over the past two months, leading traders to fear a potential retest of the $75 level.
The total value locked (TVL) on Solana stood at $6.3 billion, though the gap remains wide compared to Ethereum’s $54.1 billion. However, Solana amassed 80% more network fees than its main competitor over the last 30 days. This difference is largely due to Ethereum’s incentives for layer-2 rollups, which utilize temporary data blobs to lower costs.
Network fees on Solana dropped to $18.5 million in March, a 42% decrease from January’s $30 million level. Most of this decline stems from lower activity in decentralized exchange (DEX) volumes. Despite maintaining leadership in absolute terms, Solana DEX volumes plummeted to $55.5 billion, their lowest levels since September 2024, according to DefiLlama data.
In comparison, Ethereum DEX volumes totaled $41 billion in March, down 23% from two months prior. More importantly, when aggregating Ethereum layer-2 blockchains like Base, Arbitrum, Polygon, and Optimism, Ethereum’s DEX market share jumped to 42% in March from 33% in January. Solana’s dominance is gradually being challenged, which partially explains SOL’s current bearish momentum.
Solana DApps revenue could solidify SOL’s $80 support level
While DEX volumes on Solana are declining, no other network matches its number of DApps earning $1 million or more in 30 days. This data serves as a strong incentive for developers to join Solana, creating opportunities for user returns through protocols like Pump, Helium Network and ORE Protocol. Since protocol revenues drive investor attention, a healthy ecosystem remains extremely important for SOL’s upside.
Related: Solana lands Mastercard, Western Union on new dev platform
Solana leads the pack with 13 DApps ranking $1 million or more in revenue over the past 30 days. As a comparison, the runner-up Ethereum had 11 DApps, while BNB Chain and Base totaled 4 DApps each with $1 million or higher in monthly revenue. Thus, there is little evidence that the SOL price is bound to retest $75 solely because of lower network fees driven by weak DEX volumes.
DEX activity is a major driver of network fees, but the sustainability of protocols within the Solana ecosystem demonstrates that SOL is far from abandoned by investors.
This article is produced in accordance with Cointelegraph’s Editorial Policy and is intended for informational purposes only. It does not constitute investment advice or recommendations. All investments and trades carry risk; readers are encouraged to conduct independent research before making any decisions. Cointelegraph makes no guarantees regarding the accuracy or completeness of the information presented, including forward-looking statements, and will not be liable for any loss or damage arising from reliance on this content.
Bitfarms (BITF) shares climbed 6.6% on Tuesday despite reporting a widened $284.5 million net loss for 2025, driven by a decline in Bitcoin prices and a high cost of revenue, with the company advancing its pivot to AI and high-performance computing.
The company’s full-year results statement on Tuesday showed a 72% year-on-year increase in revenue to $229 million. This was outweighed by $248 million in cost of revenue, leading to a gross loss.
General and administrative expenses also increased year over year, while the change in fair value of digital assets led to a $50.5 million loss in 2025 compared with a gain of $26 million in 2024. This was partially offset by a $28.2 million realized gain on the sale of digital assets.
The results show the difficulty that some Bitcoin miners have faced in turning a profit. Bitcoin mining profitability margins have slimmed for miners as Bitcoin has fallen 46% from its high in October, while Bitcoin difficulty — a measure of how difficult it is to mine a block — has increased 58.5% since the last halving event in May 2024.
In the earnings call, Bitfarms CEO Ben Gagnon said it made the “bold decision to walk away” from its Bitcoin mining business in November and has built a new business powering HPC and AI data centers:
“No half-measures, no compromises, and in time, no Bitcoin. We built a new company,” he said, adding that Bitfarms expects to rebrand to Keel Infrastructure on Wednesday and has been given shareholder approval to move its legal base from Canada to the US.
The filing shows Bitfarms currently still holds approximately $161 million in unencumbered Bitcoin.
In the statement, Gagnon added: “Everything we built in 2025 — the sites, the team, the balance sheet — was in service of one thesis: that HPC/AI’s exponential growth requires top-tier infrastructure, and we intend to build to meet that demand.”
Related: MARA sells $1.1B in Bitcoin to buy back debt at 9% discount
BITF shares closed Tuesday trading hours up 6.64% to 2.73 Canadian dollars ($1.96), Google Finance data shows.
Bitfarms said its focus with HPC and AI is to power hyperscalers and neoclouds for the next wave of AI applications.
“We are not here to compete with hyperscalers or Neoclouds. We are here to enable them. Our focus is providing the critical and largely invisible foundation that will allow the world’s most advanced AI platforms to deploy on time and scale without interruption.”
It is in the process of advancing a 2.2 gigawatt digital infrastructure development pipeline across North America to deliver on that goal.
Bitfarms is one of several Bitcoin miners that have expanded or pivoted into AI in search of higher-margin opportunities in HPC and AI.
Iris Energy is scaling AI cloud services with Nvidia GPUs, while Cipher Mining has secured a long-term AI hosting deal with AI cloud platform Fluidstack. Riot Platforms and MARA Holdings have also expanded into AI and HPC.
Magazine: Bitcoin may face hard fork over any attempt to freeze Satoshi’s coins
A whitepaper co-authored with the Ethereum Foundation and Stanford researchers slashes qubit estimates by 20x, warns that billions in crypto assets are exposed to multiple attack vectors.
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