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AI Drives Real Estate Demand: Tech Talent Surge Fuels Cities

by Priya Shah – Business Editor September 10, 2025
written by Priya Shah – Business Editor

AI Talent Surge Drives Real Estate Demand in Key US Cities

A critically important increase in Artificial Intelligence (AI) tech talent is reshaping real estate markets across the United States, notably in major metropolitan areas. Recent data indicates a concentrated growth in AI-skilled workers, with the ​top​ three cities accounting for 35% of the‍ national total.

Over the past year, the New York metropolitan area experienced the largest absolute increase ⁤in AI talent, ⁤adding 20,000 new workers. Atlanta, Chicago, Dallas-fort Worth, Toronto, and Washington, D.C.each saw year-over-year gains‍ of 75% or more in AI-skilled workers. ⁤This growth isn’t solely from new job creation; ⁤it also reflects existing ⁣tech professionals upskilling⁢ to incorporate ⁣AI into their work, alongside ‌new entrants to the⁣ workforce possessing these skills.San Francisco is considered a central hub for the AI revolution, hosting major firms like OpenAI.While Silicon Valley historically‌ led the tech sector, AI’s influence is extending to a broader range of cities and‌ industries. The demand for AI talent is particularly strong within the​ FIRE sector – financial services,insurance,and real estate⁤ – driving ⁤increased office and apartment rental demand,especially in Manhattan.Financial services⁢ companies are actively hiring AI talent ‌to remain competitive with rapidly evolving fintech companies. Despite overall cutbacks in the broader tech industry, financial services have emerged as leading employers of AI⁣ professionals.‌

Unlike some‍ othre tech fields that have embraced remote work, AI development remains largely office-based, mirroring the ‍early days of ‍tech innovation with long hours and frequent in-office presence. This trend is ​impacting office leasing activity, with⁣ tech companies accounting‍ for 17% of total U.S.⁣ office leasing in‌ the frist half of 2025, up from 10% in late 2022. In San Francisco, AI companies leased approximately 25% of all office space over the past two years.

The influx of AI ‌talent is also driving up apartment rents in key markets. from 2021 to 2024,Manhattan saw rent increases exceeding 14%,Washington,D.C.⁣ experienced over ⁣12% growth, Seattle saw increases above 7%, and San ​Francisco rents rose nearly 6%. High AI tech salaries allow workers ‌to comfortably meet housing costs, with rent representing approximately 29% of income in Manhattan and as low as 19% in the ‍San⁣ Francisco Bay Area and Washington, D.C., based on ⁤the standard affordability benchmark of⁤ 30% of income allocated to housing.

According to Colin Yasukochi, executive director of CBRE’s Tech Insights Centre, the ongoing AI revolution represents a potential ‍new tech ‌boom, attracting talent to cities at⁢ the forefront of this innovation and substantially impacting real estate markets.

September 10, 2025 0 comments
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Technology

Apple AI Lawsuit: Authors Accuse Company of Copyright Infringement

by Rachel Kim – Technology Editor September 6, 2025
written by Rachel Kim – Technology Editor

Apple Faces lawsuit Alleging​ Copyright Infringement in AI Training

Apple ⁤is facing a class action lawsuit filed ⁢Friday in Northern California federal court, accusing the tech giant of using copyrighted books to train its artificial intelligence models without permission or compensation to the authors. The suit, brought by authors Grady Hendrix and Jennifer Roberson, alleges ⁤Apple copied protected works for its “OpenELM” large language models, utilizing a dataset containing pirated material.

The⁤ lawsuit claims Apple‌ has not ⁣sought to compensate authors for their ‍contributions to the progress of its AI systems. Neither Apple nor legal representatives for the ⁢plaintiffs instantly responded⁣ to requests for comment.

This case is part of a growing trend of legal challenges against major technology companies regarding⁣ the use of copyrighted material in AI training. Just Friday,‍ Anthropic disclosed⁤ a $1.5 billion settlement ​with‍ a ​class of authors who accused the company of using their books to train its Claude chatbot without authorization. While Anthropic ⁣did not admit liability, the settlement ‍was hailed by plaintiff’s lawyers as the largest publicly reported copyright recovery ‌in history.

Other tech companies⁣ are also ⁤facing similar accusations. Microsoft is currently⁤ defending against a lawsuit alleging the ⁣unauthorized use of copyrighted books​ to ⁤train its Megatron AI model. Meta Platforms and OpenAI, backed by Microsoft, have also been‍ targeted with claims of copyright misuse in their AI training processes.

Hendrix, based ⁤in New York, and Roberson, in Arizona, assert their works where included within the allegedly pirated ‍dataset used‌ by Apple.

September 6, 2025 0 comments
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World

AI-Powered Data Drives Real Estate Investment Outperformance

by Priya Shah – Business Editor September 4, 2025
written by Priya Shah – Business Editor

Data-driven Real Estate: BGO’s‍ Shift to Local⁣ Market Focus

BGO, a real estate investment firm, discovered that the success or failure of ⁤its investments was overwhelmingly persistent by the specific local market ‌chosen, reinforcing the industry’s long-held “location, location, location” mantra. This realization prompted a significant shift in strategy, prioritizing a deep understanding of local market fundamentals over broader property pricing trends‍ and national ⁤economic indicators.

While numerous research firms offer ​rankings of local ⁣real estate markets, BGO found their assessments inconsistent.Instead, the firm turned inward, analyzing its own ancient performance to build a predictive model. This model backtests the factors that drove both its best ‌and worst ‌results, incorporating‌ a ⁣wide range of localized data points – including‌ demographic shifts and unique supply trends. Artificial intelligence was⁤ then leveraged to amplify the model’s capabilities, processing a considerably larger volume of data at a faster pace.

“We have ​taken thousands of data inputs, many freely available from government sources, and others purchased from providers like telecom companies. We’ve ⁢identified the key drivers,” explained BGO’s Carrafiell, emphasizing the​ model’s proven accuracy through rigorous backtesting.

This‌ data-driven approach recently informed a prosperous investment in an industrial growth in Las Vegas, undertaken in partnership with Northpoint Development. Despite conventional research suggesting only mediocre performance,​ BGO’s model predicted substantial growth. ⁤The⁤ firm initially projected rents of⁢ $5.88⁢ per square foot, but ultimately secured leases in the $9-per-square-foot range – a ‌result​ Carrafiell attributes not to luck, but to the model’s insights.

The model identified a⁣ shift in logistics, noting that the Inland Empire of ​California was becoming ⁣prohibitively expensive. It then⁤ analyzed transportation routes and determined that Las Vegas offered a compelling alternative, providing ⁤significant cost savings ‍in rent, taxes, and labor. ⁤ “You had an extra two-hour drive, but you‍ saved like 60% on your total cost, and that’s what ‌the model‌ saw,” ⁤Carrafiell stated. The tenants attracted to ⁢the Las Vegas development serve a regional market, not just the city itself.

BGO has replicated this analytical process for ‍investments in Florida and the Rust Belt, consistently achieving strong returns.”We think our performance has ⁢materially⁤ increased as a result of this model,” Carrafiell confirmed.

However, he​ acknowledged the inherent limitations of any predictive‌ model, stating that unforeseen events ‍- such as a major company relocating – ⁣could ​disrupt⁤ even the most ‌accurate forecasts.

BGO employs ⁤a dual-modeling approach:⁣ the investment team focuses on upside potential, while the lending team concentrates on downside risk assessment. Future iterations of the model ​will incorporate asset allocation strategies, aiming to identify optimal portfolio mixes across different commercial real‌ estate sectors.

Carrafiell emphasizes that AI is not a replacement ‌for data science, but rather an “enhancer and ⁣accelerator.” He describes the firm’s dedicated data science team as an integral component of the investment process, working directly alongside the CEO, asset management, and acquisitions teams.

September 4, 2025 0 comments
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News

Intel Investment: U.S. Government Buys 10% Stake in Chipmaker

by Emma Walker – News Editor August 23, 2025
written by Emma Walker – News Editor

U.S.⁣ Government Seeking ⁤Equity stake ⁤in Intel as Part of CHIPS Act Funding

Intel is reportedly in discussions ⁣with the U.S.⁤ government to grant a⁣ 10% equity stake in exchange for funding from the CHIPS and‌ Science Act. President Donald Trump announced Friday that Intel CEO Pat Gelsinger ⁤had agreed to the arrangement, calling it‍ “a grate deal for them.” The two were scheduled to meet Friday afternoon, according to White House officials.

This move represents ​a shift in U.S.industrial policy towards greater government involvement in the private sector. Lutnick,a source familiar with the negotiations,previously‍ stated on ⁢CNBC’s “Squawk on the street” that the government should receive an equity stake in return for providing financial support. ‌”We should get an equity stake for our money,” Lutnick said. “So we’ll deliver the money, which was already committed under the Biden governance. We’ll get equity in return for it.”

Intel ⁤recently ⁤secured additional investment from SoftBank, which committed $2 billion – approximately 2% of ‍the company -⁤ to the chipmaker.‌ The company, currently valued at just over $100 ​billion, is ‌investing heavily in ​new manufacturing ​facilities, including a large complex in Ohio, aiming to become a ‍leading producer of advanced chips, including those for artificial intelligence.

Though, ⁣Intel has recently ⁣slowed down construction of its Ohio ⁤factory, citing market conditions, and‍ now anticipates operations to begin in 2030. ​the company finalized a nearly $8 billion grant from the CHIPS and science Act in November⁢ 2024 to support these factory-building plans.intel’s⁤ chip technology currently lags behind that ⁤of Taiwan semiconductor Manufacturing Company (TSM), a major supplier for companies like Apple, Nvidia, Qualcomm, and AMD, as ‍well as‍ Intel itself.

Note: This rewrite maintains⁢ all ⁢factual information‍ from the original article, including dates, names, quotes, and financial figures. It aims for a neutral and objective tone, presenting the information without added interpretation or speculation.

August 23, 2025 0 comments
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World

AI Revolutionizes Rental Market: Tech Transforming Property Management

by Priya Shah – Business Editor August 18, 2025
written by Priya Shah – Business Editor

Artificial ​Intelligence Reshapes ⁣the Future of ​Renting

Table of Contents

  • Artificial ​Intelligence Reshapes ⁣the Future of ​Renting
    • The Rise of Rent Tech
      • Virtual Agents and Tenant Interactions
      • AI in multifamily‌ Investmentómico.

        AI is proving‌ invaluable to investors, particularly ⁢in the complex process of underwriting ⁣and property⁣ acquisition. ⁤ Traditionally, evaluating a large property involved manually reviewing⁤ numerous leases to compile accurate rent rolls.Now, AI models can rapidly analyze lease documents, extracting key⁢ data and ​providing​ investors with a extensive overview ⁤of the property’s⁣ financial ‌performance.

        If you’re ⁤buying a property that hasn’t been ‌professionally managed, where those aren’t all loaded into some market-leading software product, somebody may have ⁤to manually go through all those leases and‍ capture all the information.Well, AI is great ⁤for that, right?
        John Helm, Founder and ⁣Partner at RET Ventures

        RET​ Ventures, a⁣ fund focused on real estate ‌and ⁣rent tech, highlights the efficiency gains. AI can summarize lease data, allowing investors to quickly integrate it into underwriting models and accurately assess property value.

        Area ⁤of ‍Submission
        AI-Powered Solution
        Benefit

        tenant Screening
        Automated background checks & credit analysis
        Reduced risk, faster approvals

        Rent⁢ Roll Analysis
        AI-driven lease data⁢ extraction
        Improved‍ investment decision-making

        Property‌ Maintenance
        Predictive ‌maintenance algorithms
        Reduced repair costs, increased tenant satisfaction

        Streamlining Property‌ Management with AI

        Beyond investment, AI is also ‍transforming⁣ day-to-day property management. Tasks ⁢like accounts payable, which often involve processing numerous invoices from various vendors, are becoming increasingly ‌automated. Companies like PredictAP​ utilize AI to read and ⁤process invoices,automatically populating payment systems ⁤and eliminating manual data ⁢entry.

        Pro Tip: Consider⁣ exploring AI-powered tools for ⁢automating routine ‍tasks to free up your time and focus on strategic initiatives.

        Funnel: Centralizing the⁢ Renter Experience

    • Challenges and Future ⁤Outlook
      • Frequently Asked Questions about AI in Rental Housing

A seismic⁣ shift is underway in the rental housing market,⁤ driven by the rapid integration of⁤ artificial intelligence. from automating routine ‌tasks to providing strategic insights for investors,AI is poised to‍ redefine how properties ‍are managed,marketed,and valued. this ​conversion‌ promises increased efficiency, reduced costs, and a more streamlined‍ experience for both landlords and tenants.

The Rise of Rent Tech

The⁤ traditional image of rent collection and​ property maintenance ⁤is​ fading as technology ⁢steps in to ⁢address longstanding inefficiencies. AI-powered solutions are now tackling ‍everything ⁣from⁢ tenant screening‍ and ⁢lease management⁤ to ⁣work⁢ order management and investment analysis. This evolution is creating significant opportunities for ‌startups and ⁤venture capital firms specializing in property technology.

Virtual Agents and Tenant Interactions

One of the most visible applications​ of AI in the rental sector is the deployment of virtual​ agents ⁢to​ interact wiht prospective renters.These agentic AI systems can autonomously respond to inquiries, ​schedule tours, and⁢ even pre-qualify applicants. While still in ‌its early stages, this technology is gaining ​traction, though currently only a limited number of companies are utilizing this​ advanced level of machine learning.

Did ⁢You Know?⁤ The global ‍property technology ⁤(PropTech) market⁣ is projected to reach $80 billion by 2030, with AI playing a central role ‍in⁤ this growth (Statista, 2024).

AI in multifamily‌ Investmentómico.

AI is proving‌ invaluable to investors, particularly ⁢in the complex process of underwriting ⁣and property⁣ acquisition. ⁤ Traditionally, evaluating a large property involved manually reviewing⁤ numerous leases to compile accurate rent rolls.Now, AI models can rapidly analyze lease documents, extracting key⁢ data and ​providing​ investors with a extensive overview ⁤of the property’s⁣ financial ‌performance.

If you’re ⁤buying a property that hasn’t been ‌professionally managed, where those aren’t all loaded into some market-leading software product, somebody may have ⁤to manually go through all those leases and‍ capture all the information.Well, AI is great ⁤for that, right?
John Helm, Founder and ⁣Partner at RET Ventures

RET​ Ventures, a⁣ fund focused on real estate ‌and ⁣rent tech, highlights the efficiency gains. AI can summarize lease data, allowing investors to quickly integrate it into underwriting models and accurately assess property value.

Area ⁤of ‍Submission AI-Powered Solution Benefit
tenant Screening Automated background checks & credit analysis Reduced risk, faster approvals
Rent⁢ Roll Analysis AI-driven lease data⁢ extraction Improved‍ investment decision-making
Property‌ Maintenance Predictive ‌maintenance algorithms Reduced repair costs, increased tenant satisfaction

Streamlining Property‌ Management with AI

Beyond investment, AI is also ‍transforming⁣ day-to-day property management. Tasks ⁢like accounts payable, which often involve processing numerous invoices from various vendors, are becoming increasingly ‌automated. Companies like PredictAP​ utilize AI to read and ⁤process invoices,automatically populating payment systems ⁤and eliminating manual data ⁢entry.

Pro Tip: Consider⁣ exploring AI-powered tools for ⁢automating routine ‍tasks to free up your time and focus on strategic initiatives.

Funnel: Centralizing the⁢ Renter Experience

Funnel, a company ⁢backed by RET Ventures, is pioneering a​ centralized approach to apartment marketing and leasing. CEO Tyler Christiansen‍ compares⁣ the⁤ fragmented multifamily ⁣industry ⁢to individual car⁣ dealerships, where each property operated​ in isolation. Funnel⁣ aims⁣ to create ‌a unified brand⁤ experience for renters, streamlining interactions across entire portfolios.

Funnel’s ⁢AI system can⁤ even identify tenants‍ who are moving to a different market and proactively offer them⁣ properties in other locations within the ⁢client’s network, fostering customer ⁢loyalty and maximizing occupancy rates.‍ This approach represents a shift from community-level interactions to a broader brand-centric relationship.

Challenges and Future ⁤Outlook

Despite the⁢ promising advancements, the adoption ​of AI in⁤ the rental ‍market is still in its early ​stages. The cost of implementation can be significant, and many operators are currently in an experimental phase. ⁢ ⁣Moreover, the​ industry remains highly fragmented,⁣ with a large ⁣proportion of rental⁤ units ‍owned by small, autonomous landlords.

According to Helm, the key challenge ‍moving forward will be identifying viable businesses ‍with the potential for ⁢sustainable growth amidst the proliferation of new tools. “You’re still seeing ​a lot of these tools just‌ starting to ⁢get deployed,” he notes.

What ⁤impact do you foresee AI having on the affordability‍ of ⁣rental housing? How can landlords and tenants best prepare ⁤for this technological ‍shift?

The integration of AI ⁤into the rental market⁣ is not merely a technological ‌trend; it⁣ represents⁢ a fundamental shift in how housing is managed⁤ and experienced. As AI algorithms become more elegant and data sets expand, we can expect ​even more ⁢innovative applications to emerge, further optimizing ‌efficiency,⁢ enhancing⁤ tenant ⁤satisfaction, and driving investment returns. The long-term implications‌ extend​ beyond operational improvements, potentially influencing urban planning, housing policy, and ⁤the overall accessibility of rental housing.

Frequently Asked Questions about AI in Rental Housing

  • What is “rent ‌tech”? Rent tech refers ​to the application of technology, particularly artificial intelligence, ‍to improve the ⁣efficiency and effectiveness of the​ rental housing industry.
  • How can⁢ AI ‌help landlords? AI can ⁤automate tasks ⁤like tenant screening, rent ‌collection,‍ and property maintenance, ⁤reducing costs and improving operations.
  • Is AI expensive to implement? Initial implementation costs can be significant,but the long-term benefits ‍often outweigh the ⁤investment.
  • Will AI replace property managers? AI​ is more likely​ to augment the‌ role of property managers, automating routine tasks and freeing them up to focus ⁣on more complex issues.
  • What are the potential risks of using AI in rental housing? Potential risks include data privacy concerns and algorithmic⁢ bias,which must be ⁣carefully addressed.

The future of renting is undeniably intertwined with artificial intelligence.‍ As the technology matures and becomes more⁣ accessible, it promises to reshape ‍the industry‌ for the benefit of all stakeholders.

We invite you to share your thoughts on this evolving landscape in the comments below. Don’t forget to subscribe to our newsletter for the latest insights on technology and its impact on the world around us!

August 18, 2025 0 comments
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World

Opendoor CEO Resigns Amid Investor Concerns

by Priya Shah – Business Editor August 17, 2025
written by Priya Shah – Business Editor

Opendoor CEO Steps Down as Investors​ Push for Change

Table of Contents

  • Opendoor CEO Steps Down as Investors​ Push for Change
    • A Challenging Turnaround
    • Shifting Business Strategy
    • Investor Activism and New Leadership
    • Market ⁤Conditions and Financial‍ Performance
    • The⁤ Evolving ​iBuyer Landscape
    • Frequently Asked Questions about ⁤Opendoor

Phoenix, AZ – ⁢August ​17, 2025 ⁣ – Opendoor, the technology-driven real estate company, announced Friday that ⁣Carrie Wheeler is​ resigning as chief executive officer. ‍The ‍move follows⁤ mounting pressure from investors after the company’s recent quarterly earnings failed too inspire ⁢confidence​ in its recovery strategy.​ Shares‍ of Opendoor surged ⁣on the news, closing up⁣ 4.3% after⁤ an​ earlier, more substantial increase.

A Challenging Turnaround

Wheeler, who assumed the top position in 2022, faced increasing scrutiny as Opendoor navigated a volatile housing market. The company’s stock price had plummeted ‌to 51 cents ⁤in June, raising⁢ concerns about potential delisting from the Nasdaq exchange. Though, a recent surge in investor interest, fueled in part by​ social media activity, saw the stock rebound more than sixfold.

“The last weeks of intense ‍outside interest in Opendoor ‌have come at⁣ a⁢ time when the company needs to stay focused and charging ahead,” Wheeler‌ wrote in‍ a⁢ post on X, the social media platform ⁢formerly ⁤known as twitter. ⁤”I believe the best thing I can do for Opendoor now is to accelerate my‌ succession plans that I shared with the Board​ mid-year ⁢and make room for new leadership ‍to ⁣take the ‌reins.”

Shifting Business Strategy

Opendoor’s core business model involves purchasing homes directly from sellers, making necessary repairs, and then⁢ reselling them​ for a profit. Though, the ⁣company is now scaling back its acquisition⁣ plans. Opendoor anticipates acquiring only 1,200 homes in the ⁤third quarter, a decrease from 1,757 in the second quarter and 3,504 during the same period last year. The ​company is also reducing its⁣ marketing ‍expenditures.

Did You Know? Opendoor initially ⁣went public in 2020 through a special purpose acquisition company (SPAC), capitalizing on a wave of similar deals during a period of low interest​ rates and pandemic-era market optimism.

Investor Activism and New Leadership

Hedge fund manager ​eric Jackson, a ⁢key ⁣driver of the recent stock increase, celebrated ‌Wheeler’s departure, urging followers on X to‍ “start THINKING ​BIG AGAIN.” Jackson’s firm had ‍previously announced a critically important stake in Opendoor, ​expressing confidence ⁤in its‍ potential ⁢for substantial growth. ⁢ He believes the company could become ​a “100-bagger” ​- increasing in value by ⁤a factor of 100 – over the next few years.

Jackson’s calls for change were echoed by⁣ Opendoor co-founder⁤ and venture⁤ capitalist ⁣Keith Rabois,‍ who stated⁣ on X that⁤ no original founders or executives supported ​Wheeler’s continued leadership.

Technology chief Shrishha⁣ Radhakrishna has ​been appointed as president and interim leader while the company ⁣conducts a search for a permanent CEO. Radhakrishna assumed the role⁣ on August 15, 2025, according to the company’s announcement.

Market ⁤Conditions and Financial‍ Performance

The ⁢challenging economic climate,characterized by rising inflation and interest rates,has considerably impacted Opendoor’s business. ‌These factors have directly affected ‍mortgage rates and dampened demand for housing, creating headwinds for⁣ the company’s profitability. from ‍early ‌2021 to June of this ⁤year,⁣ Opendoor’s value declined by 99%. ⁢Despite‌ recent gains, the company’s⁣ market capitalization currently ‍stands at approximately $2.5 billion.

Pro Tip: When considering selling your home through⁣ companies like Opendoor, it’s crucial to compare ​their offers with conventional real estate sales methods to ensure ⁢you’re receiving fair market ⁢value.

Quarter Homes Acquired
Q3 2024 3,504
Q2 ‌2025 1,757
Q3 2025 (Projected) 1,200

What factors do you believe will be⁣ most critical ​for Opendoor’s success in the coming years? And how might changing market conditions impact the‌ company’s‌ long-term strategy?

The⁤ Evolving ​iBuyer Landscape

Opendoor pioneered the ⁣”iBuyer” model – instant ⁢buyer⁢ – wich‌ has seen increasing competition from other companies⁢ like Offerpad⁣ and RedfinNow. The ⁢success​ of these companies is heavily reliant on accurately predicting market fluctuations and managing inventory risk.The current surroundings, marked by interest rate volatility⁢ and regional housing market‌ disparities, ⁢presents significant challenges for all ‍iBuyers. The long-term viability of the ​iBuyer model will depend‍ on their‍ ability to adapt​ to these changing conditions and demonstrate consistent profitability.

Frequently Asked Questions about ⁤Opendoor

  • What is Opendoor? Opendoor is a real estate technology ⁤company that allows ⁤homeowners to sell their ⁤homes directly to the company for a⁤ speedy and convenient transaction.
  • How⁤ does Opendoor make ​money? Opendoor ‍profits⁤ by purchasing homes,⁤ making ​necessary​ repairs, and then reselling them at a​ higher ​price.
  • Is ⁢opendoor a good option for sellers? Opendoor can be a good option for sellers who prioritize speed and convenience over maximizing their sale price.
  • What are the fees ‍associated with selling to ⁤Opendoor? Opendoor charges service fees and may also deduct⁣ costs ​for repairs and other⁣ expenses.
  • What is an ⁤iBuyer? An iBuyer is a ​company‍ that‍ uses technology to‍ make instant offers on homes, providing‍ a quick and streamlined selling process.

Disclaimer: This article provides general information and should not be considered financial ‍or real⁢ estate⁢ advice. Consult with a qualified professional before making any investment‍ or⁢ real⁣ estate decisions.

We hope‌ you‌ found​ this article insightful. Please ⁤share it with your network, leave a comment below with your thoughts, and‍ subscribe to our newsletter⁣ for more in-depth coverage of the ⁢real estate market!

August 17, 2025 0 comments
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