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Tag: meta

  • AnyMind and Meta Partner to Bring Live Commerce Ads to Asia Pacific

    AnyMind and Meta Partner to Bring Live Commerce Ads to Asia Pacific

    Tokyo commerce technology firm AnyMind Group has teamed up with Meta to funnel social network users from video ads directly into live selling broadcasts across the Asia-Pacific region.

    The integration routes traffic away from social feeds into checkouts hosted on brand websites, proprietary mobile apps, and direct business messaging channels.

    Activations start on Facebook Live video ads in the fourth quarter of 2026, AnyMind said. Instagram rollouts follow in early 2027.

    External Checkouts Replace Native Tools

    Participating merchants will simulcast broadcasts across multiple owned channels simultaneously. Broadcast infrastructure supports human presenters, artificial intelligence avatars, or hybrid presentations featuring both.

    Crucially, the partnership routes consumers out of the social application to finish transactions. Rather than processing payments inside Meta’s walls, the ad format relies on off-platform conversion points.

    Instagram removed its native live shopping features in 2023. By sending shoppers to independent web stores and chat apps, Meta secures advertising spend without taking on inventory management, merchant support, or local payment settlement.

    Rival Pressures in Asian Livestreaming

    For brands and e-commerce merchants across Southeast Asia and East Asia, the partnership offers a direct alternative to closed marketplaces.

    AnyMind gives enterprise brands a way to tap Meta’s massive audience data while retaining ownership of buyer records, customer contact information, and final cart margins. The commercial risk rests squarely on merchant web conversion. Redirecting a mobile user to an external browser or chat app introduces friction that native in-app shops avoid, leaving sellers vulnerable to drop-offs before payment completes.

    Automating Digital Broadcasters

    The push also accelerates AnyMind’s investment in automated retail software across Asia. The company previously moved to integrate Alibaba’s Qwen artificial intelligence models into its live selling tools, giving merchants the ability to run automated multilingual broadcasts without hiring live presenters around the clock.

    Pairing algorithmic hosts with paid Meta ad delivery lets regional retailers test product demand across multiple Asian markets quickly. It lowers the production overhead typically required for live studio broadcasts in regional hubs like Tokyo.

  • Asian Equities Slide as South Korea Drops 3.6% and AI Spending Faces Scrutiny

    Asian Equities Slide as South Korea Drops 3.6% and AI Spending Faces Scrutiny

    Asian equity markets retreated across the board on Tuesday as South Korea’s benchmark index tumbled 3.61 per cent ahead of major global technology earnings.

    The MSCI Asia ex-Japan index fell 0.93 per cent while Tokyo’s Nikkei 225 dropped 1.28 per cent, reflecting investor hesitation across key regional hardware and semiconductor hubs.

    Seoul and Tokyo Lead Stock Declines

    Selling was heaviest in South Korea, where tech heavyweights dragged the KOSPI down sharply during morning trade. Market debutant Elice Group, a South Korean artificial intelligence infrastructure provider, opened 16 per cent below its initial public offering price after raising 201.1 billion won ($151.12 million) in its listing.

    European index futures pointed lower as well. Euro Stoxx 50 futures fell 0.71 per cent, DAX futures slipped 0.40 per cent and FTSE futures lost 0.44 per cent, while S&P e-minis held flat at 7,734.25.

    AI Spending Faces Heavy Scrutiny

    Investor attention is shifting toward corporate balance sheets as market participants demand direct evidence that enterprise software demand and consumer spending justify elevated capital commitments. Meta platforms, scheduled to report quarterly numbers on Wednesday, is one of five major hyperscalers projected by Goldman Sachs to push collective capital expenditure to $1.2 trillion next year.

    Hardware suppliers face an immediate test as results arrive from Tesla, Lam Research and Texas Instruments later in the week, alongside private operator SpaceX.

    The market is happy to cover shorts and unwind defensive trades, but that’s very different from having the conviction to rebuild aggressive exposure to AI.

    For component suppliers and contract manufacturers across East Asia, the stakes are elevated because regional valuations have priced in continuous quarterly gains. If hyperscalers signal any moderation in data centre buildouts, Asian memory and chip assembly vendors will bear the initial brunt of order adjustments.

    Institutional funds have begun pulling back from aggressive tech exposure, rotating into defensive holdings until earnings prints validate revenue conversion rates. The sharp discount on new market listings like Elice Group reflects shrinking risk tolerance for loss-making infrastructure plays across the region.

    Energy Markets and Trade Directives

    Crude oil prices ticked upward as energy traders tracked political developments in Washington and unrest in Europe. Brent crude rose 0.21 per cent to $109.78 a barrel, while US West Texas Intermediate gained 0.15 per cent to trade at $103.82 a barrel.

    An executive order issued by US President Donald Trump on Friday waived selected sanctions and tariffs on Russian energy exports, including duties on crude shipments and refined goods. Trump stated on Saturday that a final policy determination remains pending, leaving refiners and logistics providers uncertain about trade enforcement rules.

    Gold prices retreated from recent highs, with spot gold slipping 0.51 per cent to $4,118.71 an ounce.

    Currency Flows and Central Bank Signals

    Currency trading showed safe-haven positioning following weekend civil unrest in France that prompted municipal curfews in Paris, Lille and Nice. The euro traded at $1.12 after recovering 0.06 per cent from Monday’s slide, while the British pound held at $1.33 and the Japanese yen weakened marginally to 158.57 per dollar.

    Comments from US Federal Reserve officials, including Chair Kevin Warsh, indicated that monetary authorities see sustained domestic economic momentum and feel little urgency to adjust policy rates immediately. Digital assets followed equity markets lower, with bitcoin dropping 0.67 per cent to $81,386.40 and ether falling 0.54 per cent to $2,385.75.

    Traders now look to upcoming policy speeches from European Central Bank officials Martin Kocher and Olli Rehn, followed by Bank of England policymaker Megan Greene in London, ahead of Meta’s earnings release on Wednesday.

  • Meta Launches Muse In-Chat Tool for Direct Retail Purchases

    Meta Launches Muse In-Chat Tool for Direct Retail Purchases

    Meta introduced an in-chat shopping tool called Muse in September 2026, allowing users to search merchant catalogues and complete purchases directly within the messaging interface.

    Six retailers including Gap, Sephora, Walmart, Expedia, Wayfair and Best Buy have linked their systems to the platform, while Amazon has blocked the tool entirely across its marketplace.

    How the Checkout Architecture Works

    Muse processes purchases by scanning partner websites for items matching specific text requests on brand, price and inventory availability. The system presents product cards inside the chat window, allowing buyers to authorise payments without leaving the application.

    Transactions clear through established infrastructure partners including Stripe Link and Shopify Shop Pay. Meta confirmed that PayPal will join the platform as an integrated processor at a later stage.

    Stripe Link creates a single-use payment credential for each order to shield primary credit card numbers from merchant endpoints. Users must provide their full name, delivery address and email to complete an order card before approving the transaction.

    The Platform Conflict Over Customer Data

    Amazon blocked Muse after accusing the tool of violating platform terms by scraping account records and storing buyer credentials. The clash mirrors earlier battles over data sovereignty between marketplace operators and social platforms trying to capture the final transaction step.

    For consumer brands, the feature provides a direct route to social shoppers without redirecting traffic out to third-party web browsers. The model demands trust in automated payment handlers, with shopper resistance centering on automated surge pricing and data retention across linked accounts.

    Ticketmaster adopted a modified integration model among the launch cohort. The ticketing service allows Muse to locate available inventory but forces the buyer to finalize payments on its proprietary web platform.

    The Trajectory of Agentic Commerce

    Chief executive Mark Zuckerberg unveiled the agent platform at the Meta Connect conference in Menlo Park on September 24, designating retail checkout as a central monetization engine for the assistant. The initial batch of commercial connectors rolled out publicly on September 23.

    The push represents Meta’s latest attempt to build transactional commerce into its chat interfaces after earlier iterations relied primarily on sponsored click-to-message advertising units.

    Meta is working to activate pending integrations across its merchant partner roster while preparing PayPal checkout functionality across participating markets.

  • Global AI Data Centre Spending to Hit Thirty Trillion Dollars by 2050

    Global AI Data Centre Spending to Hit Thirty Trillion Dollars by 2050

    Cumulative global spending on artificial intelligence data centres will reach 30 trillion dollars by 2050, exceeding the capital poured into any previous technological transition in modern economic history.

    That outlay projection from PwC puts infrastructure commitments on par with the entire market value of outstanding United States Treasuries. The scale of investment eclipses the capital deployments seen during the nineteenth-century railroad expansion and the late-1990s internet boom, even after adjusting for historical inflation.

    The Capital Equation for Infrastructure

    Tech companies and sovereign funds are committing capital to server capacity, specialised chips, and power generation at a pace that demands rapid commercial returns. The sheer volume of hardware spending means enterprise software buyers now face pressure to prove that automation cuts operating costs faster than the infrastructure depreciates.

    Data centre developers are also running into physical bottlenecks across regional power grids. In major markets, server farms are competing directly with residential housing sectors for high-voltage electricians, base-load electricity contracts, and industrial water allocations required for cooling compute clusters.

    Cost Shifts Across Enterprise Operations

    Corporate adoption is altering cost structures across regional businesses, though initial savings frequently push expenses into other parts of the balance sheet. In retail and supply chain operations, automated inventory tracking and customer service systems reduce direct headcount while increasing technical compliance and software licensing overhead.

    The labour impact has hit external service providers first. Enterprise data compiled by fintech platform Ramp shows companies that spent heavily on freelance contractors cut those budgets by 97 per cent after switching task workflows to generative software. The transition eliminated costs for translation, graphic design, and basic coding without requiring formal corporate restructurings or severance payouts.

    Dispute Volume and Operational Frictions

    Lower barriers to generating technical and legal text are creating fresh operational strains for regulators and public tribunals across the Asia-Pacific region. Australian legal services provider Maurice Blackburn noted in regulatory filings that automated tools alter access costs across the market.

    “AI will let law firms deliver high-quality services at scale,”

    Cheap generative drafting has also driven an influx of poorly verified submissions into administrative bodies. Australia’s Fair Work Commission has recorded an increase in automated unfair dismissal filings, forcing public registries to allocate extra staff time to screening low-quality claims.

    Consumer Agents and Capital Allocation

    New consumer tools are targeting deposit inertia at traditional financial institutions. Meta has introduced its Muse personal assistant, designed to help retail users automatically identify higher-yielding non-bank deposit alternatives and shift balances out of standard accounts offering sub-one per cent returns.

    These consumer-facing agent deployments mark the next phase of enterprise software rollouts following two years of pure model training and server farm buildouts. The Australian Parliament’s Joint Select Committee on Artificial Intelligence is scheduled to deliver its final findings on regional economic impacts in November 2026.

  • Amazon Blocks Meta Shopping Bot as Agentic E-Commerce Hits $7.7 Billion

    Amazon Blocks Meta Shopping Bot as Agentic E-Commerce Hits $7.7 Billion

    Amazon has blocked Meta’s artificial intelligence agent Muse from its storefront. A platform battle is brewing as agentic e-commerce transactions reach 7.7 billion dollars globally in 2026.

    The dispute centers on unauthorized bot browsing, privacy safeguards, and proprietary customer access. Autonomous tools are starting to execute purchases without direct human navigation.

    Bot Access Battles at the Storefront

    Amazon stated that Muse entered its retail site without clearance, triggering security and privacy protocols. Meta disputed parts of the claim. It wants open access so Muse can compare listings and complete purchases directly for users.

    This conflict extends beyond simple web scraping. Retailers must now deal with autonomous agents that parse catalog data, evaluate pricing, and place binding orders within milliseconds. The shift turns digital storefronts from consumer destinations into backend suppliers for third-party software.

    To protect its ecosystem, Amazon deployed AgentCore Web Bot Auth. The system uses cryptographic verification to evaluate incoming bots and enforce merchant access rules. Simultaneously, the Fast Identity Online alliance began drafting authentication standards to govern automated purchasing agents across retail domains.

    India Prepares Infrastructure for Automated Orders

    In India, the operator of the Unified Payments Interface is developing protocols to clear AI agents for independent payment execution. This blueprint will govern automated consumer spending across domestic retail networks.

    Domestic platforms including Flipkart, Reliance, Meesho, and Myntra face immediate commercial exposure. When autonomous agents replace human shoppers, traditional revenue drivers lose impact. Search ads, sponsored placements, and banner promotions suddenly carry less weight.

    Market power shifts toward the entities controlling the primary agent interface. If a few dominant models decide which merchants surface during an automated query, regional sellers risk losing direct relationships with shoppers. Their only defense may be launching proprietary purchasing bots of their own.

    Legal Precedents and Security Thresholds

    Cyber boundaries around retail data access remain contested in court. In August, a United States appeals court lifted a preliminary injunction that had restricted search startup Perplexity from deploying agentic browsing across Amazon’s catalog. The broader legal dispute remains unresolved.

    Platform operators now face a dual risk. Allowing unrestricted bots creates cybersecurity vulnerabilities and inventory distortion. Conversely, erecting restrictive technical firewalls reduces merchant visibility across emerging consumer search platforms.

    Attention now shifts to whether the UPI automated payment framework establishes workable compliance benchmarks before major marketplaces implement universal bot blocks across South Asia.

  • Meta Removes 3.7 Million Fraud Accounts in Singapore Enforcement Sweep

    Meta Removes 3.7 Million Fraud Accounts in Singapore Enforcement Sweep

    Meta purged more than 3.7 million accounts, pages and entities linked to fraud and e-commerce scams in Singapore this year following joint operations with the Singapore Police Force.

    Police intelligence shared between January and June triggered direct enforcement against more than 113,000 scam assets across Meta’s platforms, covering merchant scams and fraudulent investment networks.

    Police Data Multiplies Detection Rates

    The operational link with local authorities expanded the reach of automated detection systems. Meta confirmed that actionable intelligence from police led to penalties against more than five times the volume of individual assets originally reported by investigators.

    Cross-referencing network connections allowed security teams to dismantle broader clusters of bad actors rather than dealing with isolated scam profiles one by one. The enforcement sweeps removed bad actors before fraudulent storefronts could run sponsored campaigns or process retail payments from local shoppers.

    Merchant Verification and Marketplace Trust

    Digital marketplaces and social commerce hubs face sharper scrutiny across Southeast Asia as fraudulent sellers target casual retail buyers. For legitimate merchants, uncontrolled scam accounts drive up advertising acquisition costs and erode buyer confidence on social storefronts.

    Platform operators now bear higher compliance pressure to audit commercial accounts and block fraudulent operators before money changes hands. Social networks that fail to police malicious storefronts risk stricter local regulations and potential liability for consumer financial losses.

    Enforcement Precedents Across Regional Hubs

    Singapore authorities have systematically pushed technology firms to formalise anti-scam protocols and share real-time threat intelligence. Previous enforcement rounds targeted deceptive banking advertisements and phishing pages masquerading as established retail brands across the island.

    The partnership model gives regulators direct channels to submit batch evidence on organised fraud networks operating across borders. Similar data-sharing frameworks are now under review by consumer protection bodies across neighboring markets in the region.

    Enforcement Milestones to Watch

    Scam syndicates adjust tactics quickly by switching payment routing channels and generating fresh identity assets across alternative channels. Law enforcement agencies and platform operators will assess whether takedown volumes decline in the next half-year reporting cycle as automated blocking filters take effect.

  • Facebook and Instagram Hit by Outage with over 22,000 US Reports

    Facebook and Instagram Hit by Outage with over 22,000 US Reports

    Meta-owned social media platforms Facebook and Instagram suffered widespread access issues on Monday (Sep 21) morning, affecting users in Singapore and multiple countries globally.

    Outage tracker Downdetector showed incident reports in Singapore peaking at about 9.20am, reaching around 220 for Facebook and 120 for Instagram, with most users reporting trouble accessing the platforms’ websites.

    Disruption Spreads Across Regional Markets

    Users in several other countries, including the Philippines, Australia, Mexico, and the United States, also experienced disruptions. In the US, Downdetector logged more than 17,000 reports for Facebook and over 5,000 for Instagram as of 1.11am GMT.

    Data compiled at 1:11am GMT showed more than 17,000 outage reports for Facebook in the United States alone. Instagram registered over 5,000 reports during the same window, leaving social commerce operations and live merchant feeds temporarily inaccessible.

    Commercial Exposure for Digital Merchants

    For consumer brands and small enterprises across Southeast Asia, disruptions on Meta properties halt direct sales channels immediately. Social selling drives an outsized share of regional retail conversions, particularly through direct messaging and live product shows on Instagram and Facebook storefronts.

    E-commerce merchants running paid acquisition campaigns face wasted ad spend and disrupted conversion tracking when destination platforms fail during peak morning trading hours. Retailers that rely solely on Meta for digital customer interaction bear direct revenue losses when access drops.

    Repeated Network Instability This Year

    Meta has faced multiple service interruptions across its international infrastructure over recent months. In June, a global outage knocked platforms offline across Singapore, the Philippines, India, Australia, Canada, and the United States.

    Another disruption followed in July, cutting platform access for hundreds of users in Singapore during business hours. The recurring outages raise operational questions for commercial operators that direct consumer discovery and customer support through Meta’s messaging and social infrastructure.

    Platform Performance Under Scrutiny

    Engineers restored connectivity across the affected regions later in the morning as report volumes subsided on tracking platforms. The recurring pattern of downtime places technical resilience at the center of Meta’s regional enterprise relationships, where brands demand uninterrupted access to consumer audiences.

  • XLSmart Begins Work on 8,000-Kilometer Subsea Cable Linking Southeast Asia to Japan

    XLSmart Begins Work on 8,000-Kilometer Subsea Cable Linking Southeast Asia to Japan

    Indonesian operator XLSmart has started construction on Candle, an 8,000-kilometer subsea fiber network. The route links Indonesia to Singapore, Malaysia, the Philippines, Taiwan, and Japan. Commercial operations will begin across all six markets in 2028.

    Consortium partners backing the system include Meta, SoftBank, Telekom Malaysia through its TM Technology Services unit, the Philippines’ Globe Telecom, and Japan’s IPS Inc. NEC Corporation will supply the marine transmission equipment. It will deploy 24 fiber pairs along the seabed.

    The Route Through Batam

    Candle lands in Indonesia at Tanjung Bemban on Batam island. That puts the cable directly opposite Singapore’s main data exchanges. Batam serves as a spillover hub for data centers and cross-border transit links while Singapore limits domestic power allocations.

    Crews have finished initial marine work and landing preparations at the site. The route gives carriers a fresh corridor for cloud, enterprise, and artificial intelligence traffic between Southeast Asian cities and East Asia.

    PT XLSMART Telecom Sejahtera Tbk is handling local operations and Indonesian regulatory filings. This is one of the operator’s major capital programs following the merger of PT XL Axiata Tbk and PT Smartfren Telecom Tbk.

    Wholesale Capacity and Route Diversity

    For regional enterprises and cloud platforms, Candle adds physical diversity away from congested legacy routes. Extra subsea lines protect against cable cuts and geopolitical friction across the South China Sea and Luzon Strait.

    Wholesale buyers gain dedicated capacity instead of leasing space on older multi-party systems. The link also expands Meta and SoftBank’s owned transmission assets between Southeast Asian hubs and Japanese internet exchanges.

    Enterprise demand across Jakarta, Manila, and Kuala Lumpur continues to drive direct subsea investment into domestic carriers. XLSmart Director and Chief Enterprise Business Officer Andrijanto Muljono said: “Candle represents a strategic investment to prepare for Indonesia’s long-term connectivity needs.”

    Consortium Lineup and Build Steps

    Planning for Candle began in late 2025 with founding members Meta, SoftBank, IPS, Telekom Malaysia, XLSmart, and NEC. Globe Telecom joined the group in April 2026 as an equity investor and the landing partner for the Philippines.

    Each landing partner oversees shore-end work, territorial water permits, and domestic terminal stations. Teams have moved from desktop studies to physical landing milestones, while NEC manufactures the cable.

    With 24 fiber pairs, Candle ranks among the highest-capacity regional systems in Asian waters. Most older subsea infrastructure in the corridor operates on 8 to 16 fiber pairs.

    Regulatory Hurdles and Timelines

    Permit applications are advancing across all six landing jurisdictions. Marine surveys, cable-laying contracts, and deep-water work must clear national maritime agencies before installation vessels lay the main trunk lines.

    On Batam, the landing station must connect directly with domestic terrestrial backbones across Java and Sumatra to carry traffic inland. Consortium engineers will run dry testing and wet plant commissioning through late 2027 before opening the system to commercial traffic in 2028.

  • Essilor Luxottica and Meta Unveil Affordable AI Glasses for the Masses

    Essilor Luxottica and Meta Unveil Affordable AI Glasses for the Masses

    Renowned eyewear manufacturer, Essilor Luxottica, has entered into a collaboration with Mark Zuckerberg’s Meta for the creation of a more affordable range of AI glasses, targeting price-conscious customers. This move follows the successful release of AI glasses under the Ray-Ban and Oakley brands, with the Ray-Ban line becoming the top-selling AI glasses on the market.

    Creating Affordable AI Glasses

    The Essilor Luxottica range, priced from just $299, promises to bring the company’s innovation in smart eyewear to a wider audience, offering consumers around the globe enhanced and more integrated experiences. The CEO of Essilor Luxottica, Francesco Milleri, expressed his excitement at this cutting-edge development in the realm of smart eyewear. He asserted the launch provides an opportunity for budget-conscious consumers to experience the transformative effect of wearable tech in their daily lives.

    According to Milleri, Essilor Luxottica’s range of “iconic brands” have been instrumental in boosting the adoption of their products in the market. The company, a result of the 2018 merger of lens manufacturer Essilor and frames producer Luxottica, boasts a remarkable portfolio that includes global brands such as Ray-Ban, Oakley, and Oliver Peoples. In addition, they produce glasses for luxury brands like Chanel, Prada, Coach, and Armani.

    The Future of Eyewear

    Meta CEO Mark Zuckerberg was enthusiastic about the partnership with EssilorLuxottica, highlighting the aim to integrate potent AI into eyewear frames that consumers will want to wear. Zuckerberg suggested that glasses could become a primary medium for individuals to access personal superintelligence, and with the new Meta Glasses, this possibility could become a reality for a much broader audience.

    The new collection will initially offer three styles, coupled with a variety of lens options. Currently, the range is available online for customers in the US, Canada, and a select number of European countries, with plans to extend further into additional markets later in the year.

    Questions & Answers

    What is the pricing for the new Essilor Luxottica AI glasses?
    The AI glasses will start retailing from $299.

    Who is Essilor Luxottica partnered with for this new venture?
    Essilor Luxottica is partnering with Mark Zuckerberg’s Meta for the production of these glasses.

    Where are the new AI glasses currently available?
    They are available online for customers in the US, Canada, and select European countries.

  • Metas AI Blunder: How a Chatbot Hack Shook Up Instagram and Spurred Investor Jitters

    Metas AI Blunder: How a Chatbot Hack Shook Up Instagram and Spurred Investor Jitters

    A concerning vulnerability was recently exposed in Meta’s AI support chatbot due to an Instagram hack. The attackers manipulated the chatbot into providing access to high-profile accounts, including the inactive Obama White House page, beauty retailer Sephora, and a high-ranking US Space Force official.

    AI Security Breach

    The hackers persuaded the chatbot to reset account credentials without authentication, effectively changing a trusted security tool into a glaring weakness. This event highlights a wider vulnerability – tech companies giving AI systems sweeping authority over sensitive tasks like account recovery, despite the systems’ susceptibility to manipulation through “prompt injection” attacks.

    Meta’s stumble comes at a sensitive time. The social media magnate has committed heavily to AI, with significant job losses and up to $145 billion dedicated to AI infrastructure. This incident may amplify concerns about the company speeding up automation before the technology is adequately equipped to handle these tasks safely.

    On Monday, Meta stated that the issue was resolved and steps were being taken to secure impacted accounts. However, the incident shook investors already anxious about Meta’s substantial AI investment, leading to a more than 5% drop in share price.

    AI and Security

    The attack, which occurred over the weekend, saw users locked out of their accounts and led to numerous complaints on various platforms. The hack underlines the latest challenge for Meta in its attempt to incorporate AI throughout its products.

    The company introduced the support chatbot in March to address the ongoing issue of inadequate human support for users who lose account access or face inaccurate penalties. Since its launch late in 2022, AI chatbots have been exploited by hackers using prompt-based attacks.

    Analysts and experts warn that this problem isn’t isolated to Meta, predicting more such exploits as hackers utilize AI. Unforeseen issues are arising with the use of AI, presenting a new type of risk. Previously, individuals were targeted by scams. Now, AI agents or autonomous digital assistants capable of performing complex tasks are being targeted.

    Questions & Answers

    What is the potential risk of using AI in critical functions?
    AI systems’ potential risks include susceptibility to manipulation, especially when given significant authority over sensitive tasks without adequate safeguards or verification processes.

    How was the Instagram hack carried out?
    The hackers manipulated Meta’s AI support chatbot into resetting account credentials, effectively turning a high-trust security tool into a significant weakness and gaining access to high-profile accounts.

    What implications does this incident have on Meta’s efforts towards AI?
    This breach heightens concerns about Meta’s heavy investment in AI. It suggests that the company’s push for automation might be outpacing the technology’s readiness to handle such critical tasks safely.

  • Meta Kickstarts Global Layoff of 8,000 Employees: The Dawn of AI Transformation Begins with 4 AM Emails in Singapore

    Meta Kickstarts Global Layoff of 8,000 Employees: The Dawn of AI Transformation Begins with 4 AM Emails in Singapore

    Meta, the global tech powerhouse, has initiated an extensive downsizing initiative, beginning with an announcement to its Singaporean employees. The company plans a 10% reduction of its workforce across the globe, also affecting team members in the US and the UK. As the process unfolds, employees have been advised to work remotely.

    This current layoff phase is projected to have a significant impact on Meta’s product and engineering teams. Insiders suggest that additional cuts could follow later in 2026. However, this information has not yet been made public.

    New Focus on AI

    As part of its strategic restructuring, Meta has reassigned approximately 7,000 employees to newly-formed teams. These groups are centered around artificial intelligence (AI) initiatives, including the development of AI products and agents.

    Committed to its AI focus, Meta has earmarked over US$100 billion for AI capital expenditures in 2026. As of March’s end, Meta’s employee count stood just shy of 80,000, prior to the announced layoffs and reassignments.

    Janelle Gale, Meta’s Head of People, has explained that these changes allow for a streamlined, efficient organizational structure. Smaller, agile teams or “pods” can work at a quicker pace and with a greater sense of ownership. Gale expressed confidence that this approach would bolster productivity and elevate job satisfaction.

    A History of Layoffs and Backlash

    Over recent years, Meta has repeatedly downsized its workforce as part of continuous efficiency pursuits, championed by CEO Mark Zuckerberg. He has urged engineers to leverage AI agents for coding and other functions, proposed device monitoring strategies to enhance technology, and developed his own AI-assistant for handling CEO-related tasks, such as collating employee feedback. The cumulative impact of these job cuts and reassignments is expected to affect approximately 20% of the company’s workforce.

    However, this drastic change has not been quietly accepted by all. Many Meta employees have expressed their dissent, distributing protest flyers at company offices and posting criticisms on its internal communications platform, Workplace. A petition against the proposed installation of mouse-tracking software — designed to train Meta’s AI models by monitoring human-computer interaction — has already garnered over 1,000 signatures.

    The wider tech industry is also wrestling with the implications of AI advancement. Rising stock prices and the burgeoning valuation of AI startups contrast starkly with the increasing job cuts. In 2026 alone, nearly 110,000 job positions have been eliminated across 137 tech companies, trending towards a repeat of the 2023 peak. That year, over 260,000 workers were laid off in the wake of the Covid-19 pandemic’s hiring surge.

    Questions & Answers

    Why is Meta initiating these layoffs?
    Meta is restructuring to focus on AI initiatives and streamline its structure, aiming for greater efficiency and productivity.

    What roles are affected by these layoffs?
    The layoffs are expected to significantly impact Meta’s engineering and product teams.

    How has the downsizing been received by the company’s employees?
    There has been considerable backlash among Meta employees, with protests and a petition against the proposed use of mouse-tracking software to train AI models.

  • Job Cull at Meta: 8,000 Layoffs Loom as Zuckerberg Pioneers AI Leadership Clone

    Job Cull at Meta: 8,000 Layoffs Loom as Zuckerberg Pioneers AI Leadership Clone

    Many employees at Meta are expected to face job losses, with the first wave of layoffs beginning on May 20, potentially affecting as many as 8,000 roles. However, this initial round of job losses only signifies the start of a broader restructuring effort.

    Continued Layoffs Anticipated

    According to recent reports, Meta’s workforce reduction is far from complete. After the initial elimination of 8,000 positions, which represents approximately 10% of Meta’s global workforce, another round of layoffs is expected to occur in the latter half of 2026.

    The specifics regarding the second round of layoffs, including the exact timing and the number of affected employees, remain uncertain. This lack of detailed information may be due to the unpredictability of advancements in artificial intelligence (AI), a field that could substantially influence Meta’s employment requirements. If AI technology continues to become more effective and powerful, more job cuts could consequently ensue at Meta.

    Reports have indicated that Meta is considering a 20% reduction of its global workforce, suggesting that at least another 8,000 jobs could be eliminated in the second wave of layoffs.

    Industry-Wide Job Losses

    While Meta grapples with impending layoffs and the task of enhancing its AI capabilities, other industry giants are facing similar challenges. Amazon, for example, has recently initiated layoffs affecting 30,000 of its corporate employees, equivalent to 10% of its white-collar workforce.

    According to some tracking tools, more than 73,000 employees have been laid off in 2026 across the industry. This figure nearly reaches half of the total layoffs for the entire year of 2024, despite only the first quarter of 2026 having concluded.

    The Advent of AI Leadership

    Despite the turbulence, a bright future could await those who manage to retain their positions at Meta. Reports suggest that the company is developing an AI clone of its CEO, which would be capable of responding to questions in his distinct voice using his past statements.

    The AI clone project aims to strengthen employee connection with leadership, reflecting the company’s shift towards AI-driven tools rather than focusing solely on its earlier metaverse ambitions. The CEO is said to be directly involved in training his digital counterpart, a concept that could inspire the creation of similar AI personas for influencers and creators.

    Questions & Answers

    Why is Meta laying off a significant portion of its workforce?
    Meta’s layoffs are part of a broader restructuring strategy, potentially influenced by advancements in AI technology, which could transform the company’s employment and operational needs.

    What is the expected number of total layoffs at Meta?
    While exact numbers are not confirmed, reports suggest that Meta is considering a 20% reduction of its global workforce, which could result in about 16,000 job losses.

    What is the purpose of the AI clone of Meta’s CEO?
    The AI clone project aims to strengthen the connection between employees and leadership. The AI clone, trained to respond in the CEO’s voice using his past statements, reflects Meta’s strategic shift towards AI-driven tools.

  • Revolutionizing Retail: How Meta, L’Occitane and Omnichat are Using WhatsApp to Drive Customer Loyalty

    Revolutionizing Retail: How Meta, L’Occitane and Omnichat are Using WhatsApp to Drive Customer Loyalty

    Omnichat, a notable omnichannel AI platform, recently conducted the third iteration of the Commerce Leadership Forum at Meta Singapore’s facility. The forum saw an assemblage of high-ranking leaders across various sectors, arranged to discuss the transformative influence of AI-empowered business messaging in retail, beauty, and lifestyle industries in the Asia Pacific.

    The Impact of WhatsApp on Commerce

    Prominent leaders from Meta and L’Occitane spoke about the swift adoption of WhatsApp as a crucial commercial platform, underscoring its evolution from a simple customer support tool to an engaging platform catering to committed customers, driving conversions, and establishing long-lasting loyalty.

    L’Occitane disclosed that WhatsApp has become the primary mode of customer communication across Asia Pacific markets, accounting for over 80% of inbound and outbound customer interactions. The brand further revealed that personal, conversational interactions have resulted in profitable outcomes compared to traditional channels. This increase in commercial success, coupled with real-time engagement, has enabled L’Occitane to extend relationship-building beyond transactional interactions, resulting in lasting brand loyalty.

    Terrence Siu, chief information officer of APAC at L’Occitane, stated, “Loyalty begins the moment a customer chooses to stay connected with the brand. Using WhatsApp as a unified touchpoint allows us to move customers smoothly from online discovery to in-store engagement without losing context. Customers receive a consistent and personalized experience wherever they interact with us, be it on Facebook, Instagram, or WhatsApp.”

    L’Occitane has extended this seamless experience into a complete loyalty journey by utilizing Omnichat and WhatsApp to deliver sample products, VIP privileges, and post-purchase experiences. This ensures that customers feel guided and appreciated long after their initial transaction. The distribution of samples and exclusive VIP offers directly through WhatsApp has elevated their coupon redemption rate to 87%.

    Messaging-led Commerce and Loyalty

    Messaging-led commerce has been further reinforced by YouGov’s new regional insights. The data showed that 32% to 43% of Asia Pacific shoppers now utilize business messaging to track orders, complete purchases, and maintain contact with brands throughout the sales cycle. WhatsApp has effectively become the default loyalty channel for high-intent engagement in Asia.

    Vicky Yiu, APAC strategic partnership manager for business messaging at Meta, asserted, “WhatsApp is increasingly becoming the commerce layer for brand engagement in Asia. When businesses move to a messaging-led experience, they shift from campaigns to relationships – and that is where long-term loyalty is earned.”

    Omnichat, powering these loyalty journeys, has illuminated how brands can evolve membership from a static database into an active relationship engine. By consolidating multi-channel identity into a unified customer profile and harnessing AI to trigger personalized re-engagement flows, Omnichat aids brands in converting one-time buyers into loyal members.

    CEO and founder of Omnichat, Alan Chan, emphasized, “Loyalty only works when it’s active, not passive. By linking QR codes to product samples, in-store touchpoints, and messaging-based rewards, brands can proactively engage members in real time. This is the difference between a loyalty database and a loyalty journey.”

    Questions & Answers

    How is AI-powered business messaging transforming the retail and lifestyle sectors?
    AI-powered business messaging is transforming these sectors by personalising customer interactions, driving profitable outcomes, fostering long-term loyalty, and reducing customer acquisition cost.

    How has WhatsApp influenced L’Occitane’s customer engagement?
    WhatsApp has become L’Occitane’s primary mode of customer communication. It has enabled the brand to provide a seamless experience, from online discovery to in-store engagement and beyond. It also allows L’Occitane to distribute samples and VIP offers directly, resulting in a high coupon redemption rate.

    What role does Omnichat play in this transformative process?
    Omnichat powers the loyalty journeys of brands, transforming membership from a passive database into an active relationship engine. It helps brands remain present in the customer’s daily routine, enabling real-time rewards and VIP benefits, and consolidates multi-channel identity into a unified customer profile.

  • Meta’s Project Phoenix: Mixed Reality Glasses Launch Delayed, Aims for Superior Quality over Speed

    Meta’s Project Phoenix: Mixed Reality Glasses Launch Delayed, Aims for Superior Quality over Speed

    Meta, a tech giant known for its innovative projects, seems to have hit a temporary halt on its advanced mixed reality glasses project. The anticipated launch, previously expected in late 2026, will likely be delayed until sometime in 2027.

    A Shift in Timeline for Project Phoenix

    The tech enthusiasts looking forward to experiencing Meta’s pioneering holographic glasses might need to modify their anticipations. The company recently announced that the launch of their state-of-the-art mixed reality glasses, internally referred to as “Phoenix”, will be deferred.

    Previously, the company planned to release the product in the latter half of 2026, but recent statements from Meta executives suggest a shift to the first half of 2027. According to CEO Mark Zuckerberg, the delay is strategic as the firm aims to prioritize a sustainable business plan and a superior product experience over haste.

    Project Phoenix: What We Have Learned So Far

    The highlight of the Phoenix project is the External Compute Module, where the glasses will be linked to a “puck-like” power and compute source via a wire. This design is intended to reduce the weight on the wearer’s face.

    The glasses will prioritize visual fidelity, aiming to deliver the immersive experience of mixed reality headsets in a form similar to traditional eyewear. Furthermore, they will incorporate advanced sensor technology for an enhanced digital overlay on the real world.

    The delay in the project’s timeline is designed to give the product development team more time to refine the product details.

    The Mixed Reality Market Landscape

    Currently, the mixed reality market is experiencing a unique phase. On one hand, there is the Apple Vision Pro, a remarkable but hefty and expensive device that tends to isolate its users. On the other hand, there are Meta’s Ray-Ban Meta AI glasses, which integrate AI, cameras, speakers, microphones, and a monocular screen display for notifications and information.

    While the Ray-Bans are ideal for quick interactions, they do not offer a “true” mixed reality experience. Project Phoenix aims to bridge this gap by combining the immersive experience of Vision Pro with the wearability of the Ray-Bans.

    The delay in the project launch indicates that Meta is closely observing its competitors. The mixed reactions to Apple’s bulky headset might have prompted them to realize that a mediocre product will not suffice. These developments come at a time when Meta is reportedly reducing its metaverse budget by approximately 30%, indicating that they cannot risk a major hardware failure.

    Questions & Answers

    Why is the Project Phoenix launch delayed?
    The launch delay is strategic, allowing Meta to focus on developing a sustainable business model and a superior product experience.

    What are the key features of the Project Phoenix glasses?
    The Phoenix glasses will connect to a “puck-like” power and compute source via a wire, incorporate advanced sensor technology for digital overlaying, and prioritise visual fidelity to deliver an immersive experience similar to mixed reality headsets.

    How is Project Phoenix different from other products in the market?
    Project Phoenix aims to bridge the gap between extreme immersion and practical wearability, offering a “true” mixed reality experience in a form similar to traditional eyewear.

  • Exposed: WhatsApp Flaw Unveils Billions of User Numbers, Is Your Privacy At Risk?

    Exposed: WhatsApp Flaw Unveils Billions of User Numbers, Is Your Privacy At Risk?

    A team of Austrian researchers has reportedly found a way to extract the phone numbers of 3.5 billion WhatsApp users, leaving many to wonder if their own information has been compromised.

    Method of Extraction

    Any user can determine if a number is registered on WhatsApp by performing a simple search within the platform. If the number in question is associated with a WhatsApp account, the searcher will be privy to the account’s profile picture and user name. Scientists from the University of Vienna in Austria employed this very strategy to gather the phone numbers of 3.5 billion WhatsApp users.

    In their search for vulnerabilities within WhatsApp’s end-to-end encryption system, the Austrian team discovered that the application lacked an important security measure known as rate-limiting protection. Such a feature would thwart the abuse of WhatsApp’s number-checking function. By exploiting this absence of protection, the team was able to obtain 30 million WhatsApp numbers registered in the U.S. within just 30 minutes. By the conclusion of their research, they had amassed the WhatsApp numbers of 3.5 billion users worldwide.

    The extraction process was remarkably simple: the researchers merely altered the number sequence. In doing so, they could determine whether a number was registered on WhatsApp. Of the 3.5 billion users whose numbers were collected, approximately 57% had their privacy settings configured to display their profile picture to anyone. Given this, the researchers were able to easily collect these users’ profile pictures. They were also able to view the profile text of 29% of these users.

    A Neglected Flaw

    Interestingly, WhatsApp’s parent company, Meta, was alerted to this vulnerability in 2017 by a different team of researchers. Despite this, Meta failed to address the issue, meaning it remained straightforward to determine whether a number was registered on WhatsApp.

    Earlier this year, the Austrian researchers brought their findings to Meta’s attention, emphasizing the severity of the security risk this flaw presents to WhatsApp users. Their concern is that malicious entities could exploit this loophole to obtain photos and phone numbers of a significant number of WhatsApp users.

    Fortunately, in October of this year, Meta finally implemented a stricter rate-limiting measure on WhatsApp. This has ensured that such large-scale contact discovery is no longer feasible on the platform. The researchers have securely deleted their database containing the extracted phone numbers and associated data.

    Other messaging platforms, such as Signal, already incorporate rate-limiting protection. This means that mass-scale contact discovery, like what previously occurred on WhatsApp, is not possible on these platforms.

    Previous Security Breaches

    This is not the first instance of Meta’s apps coming under scrutiny due to security flaws. Last year, a database containing information on 530 million Facebook users was publicly leaked online. Intriguingly, bad actors exploited a vulnerability akin to the one found in WhatsApp, accessing data by utilising Facebook’s feature that allows users to search profiles by entering a phone number. This allowed them to scrape the personal data of 530 million users.

    WhatsApp may have its benefits, such as being free, supporting end-to-end encryption and accommodating group video calls. However, after learning of its security flaws and data collection practices, some users are considering alternatives. Platforms like Signal, which collects minimal data and provides advanced privacy features, are becoming increasingly popular.

    Questions & Answers

    What are the implications of the Austrian researchers’ findings?

    The research highlights a major flaw in WhatsApp’s security system. This loophole could potentially be exploited by cyber criminals to extract photos and phone numbers of a large number of WhatsApp users.

    Has this flaw been addressed?

    Meta, WhatsApp’s parent company, has taken measures to rectify this flaw. In October of this year, a stricter rate-limiting measure was applied to WhatsApp, preventing such extensive contact discovery from taking place.

    What alternatives exist for WhatsApp users concerned about security?

    Signal is one such alternative. The platform already has rate-limiting protection in place, and it collects almost no data from users. It also offers advanced privacy features, such as concealing your IP address during calls, and preventing others from taking screenshots of your conversations.