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Data-sharing to put more pressure on Google in the long run

  • By opening Google’s data to competitors, the court is banking on strengthening future competition from both search engines and AI-driven tools.
  • Device makers and browser partners like Apple may still set Google as the default, but must also provide alternative search engine options, regularly update their default settings, and promote competitors when relevant—for instance, in privacy modes.

Google scored a significant win in its ongoing legal tussle with US antitrust authorities, as a federal judge in Washington ruled that the tech giant would not have to sell its Chrome browser or its Android operating system.

However, the court imposed a new requirement: Google must share crucial data with competitors to enhance competition in the online search marketplace.

The decision sent waves through the tech and financial sectors. Shares of Alphabet, Google’s parent company, surged more than seven per cent in after-hours trading, as the threat of being forced to divest key assets was lifted.

Apple, which benefits handsomely from its partnership with Google, also saw its shares climb by over 3 per cent following the news. The judge’s ruling allows Google to continue its lucrative payments to Apple for making Google Search the default option on Apple devices—an arrangement that antitrust regulators argued effectively squeezed out rival search engines.

Judge Amit Mehta, overseeing the case, acknowledged that Google’s dominance in search and search advertising is illegal under antitrust law—a point he established in a previous decision from last year.

Yet, when it came to devising remedies, Mehta struck a cautious tone.

He noted in his opinion that rapid advancements in artificial intelligence are already reshaping the competitive landscape, perhaps more than any government intervention could.

Investors find reasons to celebrate

“Here the court is asked to gaze into a crystal ball and look to the future. Not exactly a judge’s forte,” Mehta remarked. He pointed out that newcomers like OpenAI’s ChatGPT pose a viable threat to Google’s dominance, and by opening Google’s data to competitors, the court is banking on strengthening future competition from both search engines and AI-driven tools.

Still, analysts warn that the impact of these changes may not be immediate. The ruling also relieves Google of more drastic penalties. Divesting Chrome or Android would have struck at the heart of Google’s business, which depends heavily on driving user traffic to its money-spinning online ads.

Without such severe remedies, investors found reason to celebrate.

The judge further noted that prohibiting Google’s default search deals with Apple and other device makers would do more harm than good, particularly to those that rely on Google’s revenue-sharing payments.

Instead, the decision introduces a more nuanced approach: device makers and browser partners like Apple may still set Google as the default, but must also provide alternative search engine options, regularly update their default settings, and promote competitors when relevant—for instance, in privacy modes.

Google not out of the woods

Apple, which reportedly earns around $20 billion annually from Google for search placement, will continue reaping these rewards, while users maintain the flexibility to choose alternatives like Bing or DuckDuckGo.

Parties are already weighing next steps. The US Justice Department indicated it may appeal, while Google has voiced concerns about user privacy under the new data-sharing rules and hinted at a possible appeal that could stretch for years—eventually landing before the Supreme Court, according to legal experts.

The ruling doesn’t mean Google is out of the woods with regulators, either. The company faces separate lawsuits challenging its dominance in other digital markets, including app stores and advertising technology.

Mehta’s decision, meanwhile, is viewed as a measured response—recognising that the winds of technological change, driven especially by artificial intelligence, could upend the search market faster than any single court order.

So for now, the search giant holds fast to its core products. Its rivals gain new tools to compete. And the next big battleground for Big Tech may shift—as always—toward the unpredictable frontiers of innovation.

OpenAI eyes 1GW data centre in India through Stargate initiative

  • CEO Sam Altman may unveil more concrete plans during an upcoming (yet to be confirmed) visit to India.

OpenAI, the renowned AI player behind ChatGPT, is setting its sights on building a massive 1GW data centre  in India as part of the US-India joint “Stargate” initiative, sources familiar with the matter told Bloomberg.

The ambitious move signals a significant leap forward for India’s AI infrastructure and its positioning on the global tech stage.

At present, OpenAI is actively searching for local partners to help bring the project to life. Precise details such as the finalised location and development schedule remain under wraps, but there is wide anticipation that CEO Sam Altman could unveil more concrete plans during an upcoming (yet to be confirmed) visit to India.

The initiative follows OpenAI’s recent announcement that it will open its first office in New Delhi later this year. India, now the world’s most populous nation, stands as OpenAI’s second-largest user base.

Strong appetite

To cater to this surging interest, the company also rolled out its most affordable ChatGPT subscription to Indian users, cutting monthly costs to just $5—significantly less than the $20 per month that US customers pay.

Furthermore, India claims the highest number of student users on ChatGPT worldwide, underlining the country’s strong appetite for AI tools and education.

The Stargate initiative itself is a grand collaboration launched by US President Donald Trump shortly after taking office, bringing together heavyweights like SoftBank, Oracle, and Abu Dhabi’s MGX investment group.

Although Stargate leaders pledged to invest $100 billion immediately (ultimately scaling to $500 billion), actual fundraising and construction have lagged behind initial promises, as acknowledged by SoftBank CEO Masayoshi Son earlier this summer.

Deepening partnerships

If realised, OpenAI’s data centre would land at a tense juncture in US-India relations. New Delhi has recently faced hefty 50 per cent tariffs on exports to the US, which took effect last week as part of Trump’s new trade policies.

In response, Indian officials have announced intentions to both diversify export markets and deepen partnerships with countries beyond the US, making major tech investments like Stargate even more strategic.

The technology sector has proven a magnet for foreign investment: for the fiscal year April 2024 to March 2025, India’s computer software and hardware industry was the country’s second-largest FDI recipient—just behind the service sector—according to the Department for Promotion of Industry and Internal Trade.

Computer tech attracted 15 per cent of total FDI inflow over this period, highlighting robust confidence from global investors.

As part of Stargate, OpenAI introduced the “OpenAI for Countries” program in May, promoting AI development guided by “democratic values”.

However, some critics remain skeptical, commenting on the company’s perceived double standard due to its close relationship with President Trump, whose controversial 2020 election stance and role in the January 6 Capitol events continue to attract scrutiny.

G42 broadens chip suppliers for UAE-US AI campus

  • Considering a roster of chipmakers such as AMD, Cerebras Systems, and Qualcomm.
  • G42 has opened negotiations with several high-profile American tech names such as AWS, Microsoft, Meta, and Elon Musk’s xAI, with Google reportedly being the closest to finalising an arrangement.

The Abu Dhabi-based technology company G42 is taking significant steps to broaden its sources of AI chips for its ambitious UAE-US Artificial Intelligence campus.

According to a report from Semafor on Monday, G42 is actively working to move beyond its reliance on Nvidia as its primary chip provider, aiming to diversify its supply chain for the advanced data centre.

Sources familiar with the ongoing talks reveal that G42 has opened negotiations with several high-profile American tech names to attract them as key tenants for the data centre.

Companies mentioned in the discussions include Amazon Web Services (AWS), Microsoft, Meta, and Elon Musk’s xAI, with Google reportedly being the closest to finalising an arrangement.

International ambitions

To bolster the AI capabilities of the campus, G42 is considering a roster of chipmakers such as AMD, Cerebras Systems, and Qualcomm. These firms are being eyed to supply a share of the critical computing hardware needed to support the campus’ large-scale operations and international ambitions.

The creation of this AI-focused campus was officially announced during the May visit of US President Donald Trump to the United Arab Emirates. During his trip, President Trump highlighted a series of new agreements with the Gulf nation, with deals reported to exceed $200 billion in value.

Why consumers sometimes prefer chatbots for sensitive purchases?

  • When it comes to privacy-laden or slightly embarrassing purchases, consumers want to know they’re dealing with an automated agent.
  • Research shows that what shoppers need isn’t a friend or a silky-voiced AI—they need a straightforward, reliably robotic chatbot to shield them from awkwardness and scrutiny.

Consumers these days are growing frustrated with chatbots—a sentiment anyone who’s been stuck in an endless loop with one can probably relate to!

But new research from the University of Notre Dame reveals an interesting exception: when it comes to “embarrassing” purchases, people actually want those clunky chatbots on their side, even if they’re shopping from the comfort of their own home.

Picture yourself buying a product you’d rather not talk about, like acne cream or diarrhea medication.

According to Jianna Jin, assistant professor of marketing at Notre Dame’s Mendoza College of Business, and her co-authors Jesse Walker and Rebecca Walker Reczek from Ohio State University, the awkwardness of these situations makes consumers lean toward non-human help.

The study, recently published in the Journal of Consumer Psychology, dived into how the clear identity of a service agent—whether obviously a chatbot or ambiguous—affects shoppers’ willingness to engage.

Across seven experiments and more than 6,000 participants, Jin’s team discovered that when the product is sensitive, like hemorrhoid cream, people are far more likely to opt for a store using a clearly non-human chatbot.

In one telling experiment, over 80 per cent of participants preferred a chatbot pharmacist when seeking diarrhea medicine, but not when the product in question was a neutral one like hay fever medication.

Identity matters: Ambiguity can backfire

The researchers didn’t stop with medical items—they even tested dating app scenarios, where users are asked personal questions. Here, too, respondents felt more comfortable with a plainly mechanical chatbot, particularly during sensitive conversations.

However, if a chatbot was disguised to look and sound “human,” people became suspicious, worried someone was watching or judging, and tended to back away from the interaction altogether.

Jin puts it well: “Give consumers a chatbot that’s undeniably a robot, and those self-presentation concerns fade away—there’s no sense of being judged. But make it look vaguely human and, paradoxically, you reintroduce social anxiety.”

Designing chatbots for awkward situations

For brands, these findings are more than academic. They paint a clear picture: when it comes to privacy-laden or slightly embarrassing purchases, consumers want to know they’re dealing with an automated agent.

They prefer chatbots that look and sound like machines—not ones wearing a “human mask.” In these scenarios, shoppers are even more willing to share personal information, engage with brands, and select stores that prominently feature chatbot support.

The insight goes beyond just buying ointment at the pharmacy. Industries like car leasing—where customers may face stereotype-based judgment—could strategically use obviously non-human chatbots to make their clients feel safer.

The message for businesses? Sometimes, what shoppers need isn’t a friend or a silky-voiced AI—they need a straightforward, reliably robotic chatbot to shield them from awkwardness and scrutiny.

So, while the future of customer service might not be all sunshine and cyborgs, there’s a powerful space for the chatbot—just, please, let it look and act unmistakably like a machine.

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