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    Apple, Musk and the AI gold rush

    • Desktop AI tools might capture headlines, but mobile apps capture multiple billion-dollar revenues.
    • Success of ChatGPT’s mobile strategy has proven that artificial intelligence isn’t just a technology trend, it’s a fundamental shift in how humans interact with computers.

    In November 2022, OpenAI quietly released ChatGPT to the world. Within five days, it had amassed one million users; this feat took Netflix three and a half years to achieve. But the real story wasn’t just about user adoption; it was about what would happen when this AI phenomenon went mobile.

    Fast-forward to August 2025, and ChatGPT has achieved something many doubted: $2 billion in consumer spending since its mobile launch. Mobile users are paying for the premium version of the app. To put this in perspective, that’s more revenue than many established tech companies generate annually.

    AI
    Dario Betti.

    The chatbot now sits comfortably at the number one position on Apple’s App Store, a digital throne that has attracted both admirers and enemies.

    Among those enemies is Elon Musk, whose own AI venture, Grok, languishes at #5 on the App Store despite his massive social media following. This disparity has sparked what might be the most high-profile tech feud of 2025 and it may reshape how we think about AI app distribution.

    The mobile AI revolution unfolds

    This isn’t just about ChatGPT’s success; it’s about a fundamental shift in how consumers interact with artificial intelligence. Where desktop computing once ruled, mobile has become the primary battleground for AI supremacy.

    Users aren’t just downloading these apps: they’re paying for them, subscribing to premium tiers, and integrating AI assistants into their daily routines in ways that seemed impossible just two years ago.

    ChatGPT dominates with its $2 billion war chest, built on a foundation of first-mover advantage and a premium subscription model that users embrace. Its success story reads like the blueprint in mobile monetisation in the short history of AI chatbots.

    Claude, Anthropic’s offering, has carved out a respectable $100-200 million revenue stream by focusing on enterprise customers and emphasising AI safety – a positioning that resonates with corporate buyers wary of AI risks.

    Grok, Musk’s controversial creation, only generates an estimated $50-100 million despite its integration with X (formerly Twitter) and its willingness to engage with topics other AI systems avoid.

    Microsoft Copilot and Google Gemini struggle with the mobile-first reality, their revenues bundled into larger enterprise offerings or lost in the complexity of search integration.

    It is worth pointing out again, that this only refers to the mobile app monetisation, these companies are monetising via web as well for specific enterprise API based solution. OpenAI’s revenues are reportedly about $12 billion per year.

    When titans clash

    The drama began unfolding in August 2025, when Elon Musk took to his platform X with a series of explosive accusations. Apple, he claimed, was “behaving in a manner that makes it impossible for any AI company besides OpenAI to reach #1 in the App Store.” He called it an “unequivocal antitrust violation” and threatened legal action against the world’s most valuable company.

    Musk’s timing seemed curious. His complaints emerged just as OpenAI was crowned as the dominant force in Mobile AI chatbots, dwarfing Grok revenues. And at the same time Apple faced mounting regulatory pressure: a €500 million EU fine for App Store restrictions here, a US Department of Justice antitrust lawsuit there.

    Talking about another antitrust violation must hurt a bit at Cupertino. Was this a legitimate grievance or opportunistic pile-on?

    The evidence suggests the latter. Let’s point at some facts challenging Musk’s claims: the Chinese AI app DeepSeek had reached #1 in January 2025 in the same category, while Perplexity topped India’s App Store in July, with both achievements occurring after Apple’s OpenAI partnership began in June 2024.

    Apple’s response was swift and uncompromising. A company spokesperson stated that “the App Store is designed to be fair and free of bias” and features “thousands of apps through charts, algorithmic recommendations, and curated lists selected by experts using objective criteria.”

    But it was Sam Altman’s counterattack that truly escalated the conflict. The OpenAI CEO didn’t just defend his company, he went on the offensive. “This is a remarkable claim given what I have heard alleged that Elon does to manipulate X to benefit himself and his own companies and harm his competitors,” Altman fired back, referencing reports that Musk had created special systems to prioritise his own tweets on X.

    The feud, industry observers noted, seemed less about antitrust law and more about a personal vendetta dating back to 2018, when Musk left OpenAI’s board following disagreements about the company’s direction.

    The ripple effects across mobile ecosystems

    While tech billionaires traded barbs on social media, the implications of ChatGPT’s mobile success were reverberating throughout the telecommunications industry. Mobile Network Operators (MNOs), traditionally focused on voice and data services, suddenly found themselves at the centre of an AI revolution they hadn’t anticipated.

    AI apps consume significant bandwidth (as they are driving not just text but increasingly audio and video files). They require low-latency processing, creating demand for edge computing services.

    They generate massive amounts of data, opening new monetisation opportunities. Payment service providers faced their own transformation. ChatGPT’s success validated subscription-based models for AI services, but it also highlighted the global nature of AI app adoption. Cross-border payments, micro-transactions for AI services, and new fraud patterns emerged as AI apps scaled internationally.

    AI is good news for mobile, even the old fashioned (by now) mobile apps are finding themselves energised by mobile chatbots. Potentially SME and Large Enterprise could be next in finding a mobile version of the AI chatbots. MNOs, App Stores and payments providers could consider bundles and specific vertical solutions too.

    Road ahead: Lessons from $2b success story

    As 2025 progresses, the ChatGPT phenomenon offers crucial lessons for the mobile industry. First, consumers will pay for AI services, but only if they deliver genuine value. ChatGPT’s success wasn’t just about being first to market; it was about creating an experience users found indispensable.

    Second, platform relationships matter more than ever. The Musk-Apple controversy, regardless of its merits, highlighted how app store policies can make or break AI companies. Success in the AI mobile era requires not just great technology, but strategic platform partnerships.

    Third, the mobile-first approach isn’t optional, it’s essential. Desktop AI tools might capture headlines, but mobile apps capture multiple billion-dollar revenues. The companies that understand this distinction will thrive even more.

    Looking forward, the industry faces several inflection points. Things might change considerably by then. Subscription fatigue may force AI companies to find new monetisation models. Platform integration will deepen, and AI might be part of your mobile phone (i.e., its operating software) just like the Apple-OpenAI blueprint. Specialised AI apps might also emerge for specific industries and use cases.

    But perhaps most importantly, the success of ChatGPT’s mobile strategy has proven that artificial intelligence isn’t just a technology trend, it’s a fundamental shift in how humans interact with computers. The $2 billion milestone isn’t just OpenAI’s achievement: it’s validation of a new era in mobile computing.

    As Musk and Altman continue their public feud, and as Apple navigates regulatory challenges, the real winners may be the millions of users who have discovered that AI assistants in their pockets aren’t just convenient, they’re transformative.

    The mobile AI revolution has only just begun, and ChatGPT’s $2 billion success story is merely the opening chapter.

    • Dario Betti is CEO of MEF (Mobile Ecosystem Forum) a global trade body established in 2000 and headquartered in the UK with members across the world. As the voice of the mobile ecosystem, it focuses on cross-industry best practices, anti-fraud and monetisation. The Forum, which celebrates its 25th anniversary in 2025, provides its members with global and cross-sector platforms for networking, collaboration and advancing industry solutions.  

    Qatar-based online retailer Albazaar falls prey to cyberattack

    The recent alleged data breach at Albazaar.shop, a prominent Qatar-based online retailer known for its Middle Eastern-inspired products and decor, has sent shockwaves through its customer community.

    According to Daily Dark Web, the incident reportedly involves the exposure of more than 12,700 rows of sensitive customer and order data, which has now surfaced on a major cybercrime forum.

    What information was allegedly leaked?

    According to the threat actor behind the release, the database contains a troubling array of personal details, opening the doors to risks like phishing, fraud, and identity theft. The leaked customer information is said to include:

    • Full names
    • Billing and shipping addresses
    • Email addresses
    • Shipment and payment methods
    • Detailed order information (including grand totals, currencies, and statuses)

    The potential impact on customers

    For a significant e-commerce platform in Qatar and the broader region, such a breach presents notable risks to its loyal customer base. Exposing this combination of contact and transactional data substantially increases the odds of targeted scams, social engineering attacks, and other cyber threats.

    The incident underscores the importance of data privacy and the ever-present challenges online businesses face in protecting their customers’ information. Users who have previously transacted with Albazaar.shop should be on the lookout for unusual emails or communications and consider updating their account security settings immediately.

    Practical safety steps

    If you’re an Albazaar.shop customer, consider taking the following practical steps:

    • Monitor your accounts and emails for any unfamiliar or suspicious activity
    • Be cautious with any unsolicited emails that reference recent purchases or personal details
    • Update your passwords and enable multi-factor authentication, if available

    How Mukesh Ambani plans to shape India’s AI future?

    • Reliance forms partnerships with Google Cloud and Meta to catch up with US and China in the AI race.
    • Google Cloud to set up a massive data centre in the western city of Jamnagar while Meta to deliver enterprise-grade, Llama-powered AI solutions.

    It was a day to remember at Reliance Industries’ 48th annual general meeting—a Friday buzzing with announcements, ambition, and the unmistakable energy of Mukesh Ambani himself.

    There he was, at the heart of India’s business arena, unveiling a plan that sounded both futuristic and deeply personal: he would build the backbone of India’s artificial intelligence dreams. The world’s eyes—and those of every tech enthusiast—seemed to follow his every word.

    Ambani’s vision? A new subsidiary called Reliance Intelligence, poised to become India’s own engine for AI innovation. The audacity was unmistakable; he wanted nothing less than to match countries like the US and China in the AI race.

    “Reliance Intelligence will be the home for world-class researchers, engineers, designers, and product builders,” Ambani declared. In that moment, the promise of blending fast-paced research with rigorous engineering felt palpable.

    The plan thundered to life with a high-profile handshake: Reliance’s strategic partnership with Google Cloud. Together, they would set up a dedicated AI cloud infrastructure, starting with a massive data centre in the western city of Jamnagar.

    Bold new horizon

    Leveraging Jio’s pervasive network and Reliance’s energy empire, this new backbone would serve enterprises, developers, startups, and government offices—all eager to plug into India’s AI future.

    Sundar Pichai, CEO of Google and himself a son of Indian soil, appeared—if only on screen—to bless the union. “Google Cloud is not only powering Reliance’s mission-critical workloads,” he enthused, “but we’re collaborating on advanced AI initiatives. And this is just the beginning.”

    The details of Google’s investment remained veiled, but the partnership itself painted a bold new horizon for both companies.

    Ambani’s masterstroke didn’t stop there. He announced a joint venture with Meta—parent of Facebook and WhatsApp, and a marquee tech investor in Jio since 2020. The plan: to pool technical muscle and capital (Rs8.55 billion, with a 70:30 Reliance-Meta split) to deliver enterprise-grade, Llama-powered AI solutions.

    This platform would give Indian companies the tools to deploy, manage, and customize generative AI for uses spanning marketing, sales, IT support, and finance. Pre-configured solutions and a buffet of AI tools would help businesses leapfrog into tomorrow.

    Reliance courting OpenAI

    Mark Zuckerberg, Meta’s CEO, chimed in with his own promise: “With Reliance, we’re putting Llama models into real-world use.” But, as always, deals are not made at lightning pace—the joint venture still awaits the regulatory green light, with closure expected in late 2025.

    The story swirled with even more intrigue when whispers emerged of Reliance courting OpenAI. The AI darling had freshly launched its affordable ChatGPT subscription for India and was busy planting its flag in New Delhi. Sources winked that an announcement might come during Sam Altman’s next visit to India—a plot line still shrouded in secrecy.

    Meanwhile, rival Bharti Airtel had not been idle—offering its 360 million subscribers a year’s worth of Perplexity Pro and keeping the AI fires burning on its patch.

    Reliance’s credentials in the digital game were already sparkling. The company had inked earlier deals with Microsoft on Azure for Indian businesses and watched its consumer-focused JioAICloud chalk up 40 million users. Now, the service threw in 100GB of free storage, new voice search, and a playful AI Create Hub—think photo transformations and video collages, all at the tap of a finger.

    But Ambani always aimed to dazzle. At the AGM, he paraded AI-powered JioFrames smart glasses—snap-on, stylish, and India’s answer to global gadgets like Ray-Ban Meta and Snap’s Spectacles. And the streaming platform JioHotstar?

    With over 600 million users (300 million paying!) just three months into its launch, it had become an AI showcase. Features like the “Riya” voice assistant and real-time content translation using AI-voice cloning and lip-syncing now brought movies to every corner of India in a tongue people could call their own.

    The feel on the ground? India was not just participating in the AI revolution—it was beginning to shape it. From Gujarat’s data centers to boardrooms across the world, Mukesh Ambani’s push set the stage for a new digital story—one built on vision, partnerships, and a belief that India’s billion-strong heart could dream even bigger.

    Agentic AI to revolutionise enterprise applications by 2035

    • Future of enterprise software will be written by those who embrace agentic AI not merely as a tool, but as a transformative partner in shaping tomorrow’s business landscape.
    • Gartner urges technology leaders and CIOs to act within the next three to six months to prepare for this paradigm shift.

    As digital transformation accelerates, businesses are bracing for a seismic shift in enterprise software, driven by advancements in agentic artificial intelligence (AI).

    Gartner Inc., a leading provider of business and technology insights, forecasts that 40 per cent of enterprise applications will integrate task-specific AI agents by 2026, a significant increase from today’s rate of less than 5 per cent.

    These projections signal not just incremental improvements, but a fundamental transformation of how organisations operate, collaborate, and compete.

    According to Gartner’s latest analysis, agentic AI stands to capture approximately 30 per cent of all enterprise application software revenue by 2035, reaching over $450 billion. In comparison, this figure sat at just 2 per cent in 2025.

    The rapid rise underlines the urgent need for businesses to devise clear strategies for AI adoption, as the next few quarters represent a critical inflection point for gaining competitive advantage.

    Anushree Verma, Senior Director Analyst at Gartner, explains, “AI agents are evolving rapidly, progressing from basic assistants embedded in enterprise applications today to task-specific agents by 2026 and ultimately multiagent ecosystems by 2029.”

    Verma notes that this development is transforming enterprise software from tools that merely enhance personal productivity into dynamic platforms for autonomous collaboration and workflow orchestration.

    Gartner describes the maturation of agentic AI in five strategic stages, each requiring informed management and targeted investment:

    Stage 1: Embedded AI Assistants (2025)

    By the close of 2025, practically every enterprise application is expected to include an embed AI assistant. These systems will enhance task efficiency and user interaction but will continue to require human initiation and supervision. Gartner cautions organizations against “agentwashing”—misclassifying basic assistants as autonomous agents.

    For CIOs, the immediate challenge is to create seamless experiences by integrating these assistants through robust application programming interfaces (APIs), thus shifting the focus from application-centric to interaction-centric workflows.

    Stage 2: Task-Specific AI Agents (2026)

    By 2026, Gartner anticipates a leap from mere assistance to the deployment of AI agents specialiSed in distinct tasks, such as project management, customer service, or incident response. With 40 per cent of enterprise applications projected to include such agents, business leaders must implement strong security and governance frameworks to manage autonomous operations and ensure compliance.

    Stage 3: Collaborative AI Agents (2027)

    The following stage emphasiSes collaboration among multiple AI agents within an application. Gartner suggests that by 2027, a third of agentic AI deployments will feature multi-agent ensembles working in tandem to address complex and evolving business needs. This transition will require rigorous adoption of interoperability standards and new protocols to foster seamless machine-to-machine communications.

    Stage 4: Ecosystems of AI Agents (2028)

    In 2028, agentic AI will extend across application boundaries, linking specialised agents into cohesive networks that serve broader organisational objectives.

    This will spark a transformation in enterprise software delivery, shifting user experiences from individual application interfaces to agent-driven front ends. As a result, organisations will need to rethink business models, pricing strategies, and governance structures to promote trust, transparency, and ethical use of AI technologies.

    Stage 5: Democratised Agentic AI (2029 and Beyond)

    By 2029, Gartner estimates at least 50 per cent of knowledge workers will directly participate in the design, governance, and deployment of AI agents for enterprise needs.

    This democratisation will be supported by standardised protocols, enabling agents to autonomously sense their environment, orchestrate multifaceted projects, and address an expansive array of business requirements.

    Pioneers who invest early will set industry standards, while others risk falling behind as AI agents become as integral to daily operations as smartphones are today.

    Gartner urges technology leaders and CIOs to act within the next three to six months to prepare for this paradigm shift. Prioritising integration, workforce readiness, security, and governance now will determine which organistions emerge as leaders and which struggle to adapt.

    The future of enterprise software will be written by those who embrace agentic AI not merely as a tool, but as a transformative partner in shaping tomorrow’s business landscape.

    US acquires 10% stake in Intel for $8.9b

    • Trump is linking national security interests with aggressive industrial policy: giant government investments in semiconductors, rare earths—and even creative “pay-for-play” deals with AI titans like Nvidia.

    US President Donald Trump announced that the United States would take a 10 per cent stake in struggling chip giant Intel. The surprise move is turning heads—not just for its size ($8.9 billion), but for how boldly the White House is inserting itself into America’s corporate engine room.

    The US government has agreed to purchase 9.9 per cent of Intel, making them a real heavyweight in the legacy chipmaker’s future. The purchase price? $20.47 per share, which is a relatively sweet deal, considering Intel closed Friday at $24.80. That’s about $4 below the market—nothing to sneeze at for taxpayers footing the bill.

    To pay for the shares, the White House is tapping two big sources: $5.7 billion in still-unspent Chips Act grants and $3.2 billion slated for a project called Secure Enclave. Together, those funds make the acquisition possible without needing a new Congressional fight over spending.

    High-stakes negotiations

    Intel’s CEO, Lip-Bu Tan, has had a whirlwind month. He was called to a tense sit-down with President Trump earlier in August—a meeting originally triggered by Trump’s fiery call for Tan to quit over his history with Chinese firms.

    Instead of walking out with a pink slip, Tan seems to have walked away with $10 billion for Intel and a deal that’s got tongues wagging across the financial sector.

    After the accord, Commerce Secretary Howard Lutnick didn’t waste a minute declaring: “The United States of America now owns 10 per cent of Intel.” He emphasised that the transaction was “fair to Intel and fair to the American People,” positioning it as a win-win—though critics may see it differently.

    A pattern of unusual moves

    Friday’s Intel investment is only the latest in a string of extraordinary government interventions:

    • The US clinched a deal with Nvidia: it must let Washington receive a 15 per cent cut of H20 AI chip sales to China.
    • The Pentagon is about to become the biggest shareholder in a lesser-known rare earth magnet maker.
    • The government snatched up a “golden share” with powerful veto rights as Nippon Steel seeks to acquire US Steel.

    These policy pivots are stirring discomfort among critics who worry that ever-deeper government entanglement could reshape how risks are calculated in corporate America.

    Why Intel? Why now?

    Intel has suffered a bruising two years, posting an eye-popping $18.8 billion loss in 2024—the first red ink the company’s seen since the 1980s. Their once-mighty foundry business is coughing and wheezing, falling far behind Taiwan’s TSMC in technology and market share.

    The White House also insists it’s not seeking similar deals with other chipmakers, like TSMC or Micron, for now.

    But overall, Trump’s break-the-mold approach is clear. He’s linking national security interests with aggressive industrial policy: giant government investments in semiconductors, rare earths—and even creative “pay-for-play” deals with AI titans like Nvidia.

    It’s a bold and risky path, and the results are bound to ripple through both the economy and policy debates for years to come.

    Alleged MEW Kuwait data breach exposes 21,000 employee records

    It’s unsettling to witness a fresh cyber threat hitting Kuwait’s critical infrastructure—this time, targeting the Ministry of Electricity & Water (MEW Kuwait).

    According to Daily Dark Web, a threat actor claims to have breached MEW Kuwait’s internal systems, placing sensitive data at risk and shaking confidence in the protection of government operations.

    The breach, announced on a cybercrime forum, involves the sale of a database allegedly containing personal and technical details of over 21,000 ministry employees.

    What’s allegedly exposed?

    According to the post from the threat actor, the compromised dataset originates from MEW Kuwait’s official domain, mew.gov.kw, and is being offered for sale at a surprisingly low price: $400. The breach is said to include the following information:

    • Employee names in Arabic
    • Telephone numbers
    • Work locations, specifically including the Main Ministry Building
    • Device information such as operating system versions and phone models (e.g., iPhone, Samsung)
    • Registration statuses and precise timestamps

    Potential implications

    If the claims are true, the leak presents multiple risks:

    • Personal Risk to Employees: Exposure of personally identifiable information (PII) could make employees targets for phishing, social engineering, or even real-world threats.
    • Operational Security Threats: Details about work locations and registration data could permit bad actors to map the organisational structure and plan more sophisticated attacks, including physical threats to facilities.
    • Technical Risks: Device information might be exploited to craft tailored mobile attacks or malware campaigns based on known vulnerabilities in the identified equipment and OS versions.

    Kuwait’s Ministry of Electricity & Water is essential to the nation’s daily life, running facilities that millions depend on. A successful breach could undermine not only the ministry’s operations but also public trust in critical infrastructure security across the country.