Artificial intelligence

Apple prepares low-power chip for smart eyewear

Apple is developing custom chips to power future smart glasses, AI servers, and new Mac models, according to a report by Bloomberg News.

The chip for the glasses is being designed with a focus on energy efficiency and advanced camera handling, and production could begin as early as late 2026 or 2027.

Built on technology similar to that of the Apple Watch instead of the iPhone, the chip is expected to consume significantly less power.

It will be manufactured by Taiwan’s TSMC and tailored to manage multiple cameras efficiently, potentially positioning Apple as a rival to Meta’s Ray-Ban smart glasses.

At the same time, Apple is working on new Mac processors—possibly branded as the M6 and M7—as well as AI server chips designed to support the Apple Intelligence platform. This system enables features like notification summaries, email rewriting, and access to OpenAI’s ChatGPT.

These projects come as Apple expands its silicon strategy. Earlier in 2025, the company unveiled its first custom modem for iPhones, and it plans to source over 19 billion chips from the US this year instead of depending on China, while also boosting production in India.

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Microsoft bans DeepSeek app for staff use

Microsoft has confirmed it does not allow employees to use the DeepSeek app, citing data security and propaganda concerns.

Speaking at a Senate hearing, company president Brad Smith explained the decision stems from fears that data shared with DeepSeek could end up on Chinese servers and be exposed to state surveillance laws.

Although DeepSeek is open source and widely available, Microsoft has chosen not to list the app in its own store.

Smith warned that DeepSeek’s answers may be influenced by Chinese government censorship and propaganda, and its privacy policy confirms data is stored in China, making it subject to local intelligence regulations.

Interestingly, Microsoft still offers DeepSeek’s R1 model via its Azure cloud service. The company argued this is a different matter, as customers can host the model on their servers instead of relying on DeepSeek’s infrastructure.

Even so, Smith admitted Microsoft had to alter the model to remove ‘harmful side effects,’ although no technical details were provided.

While Microsoft blocks DeepSeek’s app for internal use, it hasn’t imposed a blanket ban on all chatbot competitors. Apps like Perplexity are available in the Windows store, unlike those from Google.

The stance against DeepSeek marks a rare public move by Microsoft as the tech industry navigates rising tensions over AI tools with foreign links.

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LockBit ransomware platform breached again

LockBit, one of the most notorious ransomware groups of recent years, has suffered a significant breach of its dark web platform. Its admin and affiliate panels were defaced and replaced with a message linking to a leaked MySQL database, seemingly exposing sensitive operational details.

The message mocked the gang with the line ‘Don’t do crime CRIME IS BAD xoxo from Prague,’ raising suspicions of a rival hacker or vigilante group behind the attack.

The leaked database, first flagged by a threat actor known as Rey, contains 20 tables revealing details about LockBit’s affiliate network, tactics, and operations. Among them are nearly 60,000 Bitcoin addresses, payload information tied to specific targets, and thousands of extortion chat messages.

A ‘users’ table lists 75 affiliate and admin identities, many with passwords stored in plain text—some comically weak, like ‘Weekendlover69.’

While a LockBit spokesperson confirmed the breach via Tox chat, they insisted no private keys were exposed and that losses were minimal. However, the attack echoes a recent breach of the Everest ransomware site, suggesting the same actor may be responsible.

Combined with past law enforcement actions—such as Operation Cronos, which dismantled parts of LockBit’s infrastructure in 2024—the new leak could harm the group’s credibility with affiliates.

LockBit has long operated under a ransomware-as-a-service model, providing malware to affiliates in exchange for a cut of ransom profits. It has targeted both Linux and Windows systems, used double extortion tactics, and accounted for a large share of global ransomware attacks in 2022.

Despite ongoing pressure from authorities, the group has continued its operations—though this latest breach could prove harder to recover from.

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Gemini Nano boosts scam detection on Chrome

Google has released a new report outlining how it is using AI to better protect users from online scams across its platforms.

The company says AI is now actively fighting scams in Chrome, Search and Android, with new tools able to detect and neutralise threats more effectively than before.

At the heart of these efforts is Gemini Nano, Google’s on-device AI model, which has been integrated into Chrome to help identify phishing and fraudulent websites.

The report claims the upgraded systems can now detect 20 times more harmful websites, many of which aim to deceive users by creating a false sense of urgency or offering fake promotions. These scams often involve phishing, cryptocurrency fraud, clone websites and misleading subscriptions.

Search has also seen major improvements. Google’s AI-powered classifiers are now better at spotting scam-related content before users encounter it. For example, the company says it has reduced scams involving fake airline customer service agents by over 80 per cent, thanks to its enhanced detection tools.

Meanwhile, Android users are beginning to see stronger safeguards as well. Chrome on Android now warns users about suspicious website notifications, offering the choice to unsubscribe or review them safely.

Google has confirmed plans to extend these protections even further in the coming months, aiming to cover a broader range of online threats.

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OpenAI launches data residency in India for ChatGPT enterprise

OpenAI has announced that enterprise and educational customers in India using ChatGPT can now store their data locally instead of relying on servers abroad.

The move, aimed at complying with India’s upcoming data localisation rules under the Digital Personal Data Protection Act, allows conversations, uploads, and prompts to remain within the country. Similar options are now available in Japan, Singapore, and South Korea.

Data stored under this new residency option will be encrypted and kept secure, according to the company. OpenAI clarified it will not use this data for training its models unless customers choose to share it.

The change may also influence a copyright infringement case against OpenAI in India, where the jurisdiction was previously questioned due to foreign server locations.

Alongside this update, OpenAI has unveiled a broader international initiative, called OpenAI for Countries, as part of the US-led $500 billion Stargate project.

The plan involves building AI infrastructure in partner countries instead of centralising development, allowing nations to create localised versions of ChatGPT tailored to their languages and services.

OpenAI says the goal is to help democracies develop AI on their own terms instead of adopting centralised, authoritarian systems.

The company and the US government will co-invest in local data centres and AI models to strengthen economic growth and digital sovereignty across the globe.

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CrowdStrike cuts jobs amid AI shift

Cybersecurity firm CrowdStrike is laying off 500 employees—5% of its workforce—as it shifts towards an AI-led operating model to boost efficiency and hit a $10 billion annual revenue goal.

In a letter to staff, CEO George Kurtz described AI as a ‘force multiplier’ meant to reduce hiring needs instead of expanding headcount.

The restructure, expected to cost up to $53 million through mid-2026, will still see hiring in customer-facing and engineering roles.

Yet despite its optimism, the company’s regulatory filings flag notable risks in depending on AI, such as faulty outputs, legal uncertainty, and the challenge of managing fast-moving systems. Analysts have also linked the shift to wider market pressures, not merely strategic innovation.

Principal analyst Sofia Ali warned that the AI-first approach may backfire if transparency, governance, and human oversight are not prioritised. Over-reliance on automation—especially in threat detection or customer support—could erode user trust instead of reinforcing it, particularly during critical incidents.

CrowdStrike’s move mirrors a broader tech trend: over 52,000 tech jobs were cut in early 2025 as firms embraced AI to replace automatable roles. For cybersecurity leaders, the challenge now lies in balancing AI’s promise with the human expertise essential to trust and resilience.

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AI spending remains strong despite Trump’s tariffs, says Goldman Sachs

President Donald Trump’s new tariffs may force companies to adjust staffing and marketing budgets, but spending on AI will likely remain protected. That is according to Eric Sheridan, co-business unit leader for technology, media, and telecommunications at Goldman Sachs.

Speaking on the Goldman Sachs Exchange podcast, Sheridan said the latest tariffs are expected to create more volatility in operational costs, particularly affecting head count, marketing, and long-term projects.

However, he predicted that investment in AI would not suffer the same impact. ‘Given the sheer number of players investing both offensively and defensively at AI, I think this spend will get protected for a little longer,’ he explained.

Sheridan cited Meta as a prime example. In its recent first-quarter earnings, Meta raised its annual capital expenditure guidance to between $64 and $72 billion, up from a previous range of $60 to $65 billion.

CEO Mark Zuckerberg reaffirmed that AI remains the company’s top priority, even as Meta cut other expenses such as salaries and marketing.

‘We continue to find ways to find efficiencies inside the organization, but we are not at a point where we want to sacrifice long-duration investments,’ Sheridan noted, summarising Meta’s stance.

The broader business environment is shifting as companies respond to Trump’s ‘Liberation Day’ tariffs, announced on April 2. These include a 10% baseline levy and additional ‘reciprocal tariffs.’

While most reciprocal tariffs are paused for 90 days as negotiations continue, China faces a hefty 145% tariff. United States and Chinese officials are set to meet for trade talks this weekend in Switzerland, potentially shaping the next phase of global trade dynamics.

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Palantir and partners promise rapid AI deployment in banking

Palantir Technologies, xAI, and TWG Global have announced a new partnership aimed at accelerating the adoption of artificial intelligence across the financial services industry. The initiative promises faster deployment and measurable results within just 90 days.

The collaboration seeks to help financial institutions integrate AI into their core operations. As financial institutions strive to modernise, the companies aim to overcome what they call the ‘agentic tech debt bubble’ and deliver real, scalable value.

The offering combines Palantir’s platform, xAI’s advanced language models, and TWG Global’s operational expertise, including a Governance Foundation for data readiness and a suite of AI-driven tools.

TWG Global will lead implementation efforts, focusing on involving senior executives directly to ensure AI integration becomes a central business strategy rather than a sidelined tech project. The partnership builds on an earlier venture between Palantir and TWG Global.

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Google cuts 200 jobs as AI and cloud take priority

Google has laid off around 200 employees from its global business unit as the company sharpens its focus on AI and cloud services. The job cuts, which affected the sales and partnerships team, were first reported by The Information and later confirmed by Google.

The reduction forms part of a wider resource reallocation across parent company Alphabet, reflecting a broader trend in the tech sector.

Big tech firms, facing increased demand for AI development and data centre expansion, have been streamlining operations and shifting investments towards emerging technologies. Earlier this year, Meta also reduced its workforce by around 3,600 employees, citing performance-based criteria for the decision.

In a statement to Reuters, Google described the layoffs as a ‘small’ adjustment designed to streamline operations, improve collaboration, and enhance responsiveness to customer needs.

However, the latest move adds to a growing list of job cuts across Google since early 2023, when the company slashed 12,000 jobs — 6% of its global workforce.

Only last month, Google also reduced roles in its platforms and devices group. That round of layoffs affected teams working on key products such as Android, Pixel, and Chrome. As the company continues to prioritise AI and cloud growth, further workforce adjustments may be expected in the months ahead.

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Google boosts AI coding and video skills with Gemini 2.5 Pro

Google has unveiled Gemini 2.5 Pro Preview (I/O edition), its latest AI model update, ahead of the annual I/O developer conference.

The new version introduces upgrades designed to enhance coding assistance, video comprehension, and web development capabilities, further highlighting the company’s commitment to integrating generative AI across its products.

According to Google, Gemini 2.5 Pro delivers noticeable improvements in software development workflows. The AI model now ranks first on the WebArena leaderboard, which assesses the quality of AI-generated websites through human feedback.

Google reports a 147-point increase in Elo score compared to the previous version. Enhanced features also include better code interpretation and generation, real-time function calling, and lower rates of silent failures in tasks such as bug fixing and editing.

Video analysis is another key area of progress. Gemini 2.5 Pro achieved an 84.8% score on the VideoMMe benchmark, which evaluates AI performance in understanding and answering questions about visual content, particularly educational videos.

This marks another step in Google’s multimodal AI ambitions, which seek to unify text, images, code, audio, and video into cohesive AI systems. However, Google has not detailed how privacy and content safety are managed when processing video data.

Developers can now access Gemini 2.5 Pro via the Gemini API, Google AI Studio, and Vertex AI, as well as through Gemini’s mobile and web apps.

Currently released as a preview, the model will likely receive updates following developer feedback during and after the I/O event. Details about general availability or potential pricing changes have not been disclosed.

The release of Gemini 2.5 Pro comes as AI competition intensifies, with OpenAI, Anthropic, and Meta also advancing their foundation models. While Google highlights Gemini’s strong performance in coding and web development, broader comparisons between models remain limited for now.

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