Artificial intelligence

Nvidia insiders sell over $1bn in shares amid AI market boom

Senior Nvidia executives have sold more than $1bn worth of shares over the past year, with over half of those sales taking place in June.

The move comes as Nvidia’s stock soared to record highs, driven by renewed investor enthusiasm for AI. According to the Financial Times, insiders took advantage of the AI-driven rally instead of waiting for further market shifts.

Among those selling shares was Nvidia CEO Jensen Huang, who offloaded stock for the first time since September, as revealed in recent regulatory filings.

The surge in share price helped the company briefly reclaim its title as the world’s most valuable firm, following upbeat forecasts from analysts predicting Nvidia will ride a ‘Golden Wave’ of AI growth.

Nvidia’s stock has recovered more than 60% since early April, when markets were rattled by President Donald Trump’s global tariff plans.

The rebound reflects optimism that upcoming trade negotiations may soften the economic blow and keep momentum behind tech and AI-focused firms.

Nvidia declined to comment on the report.

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Sam Altman reverses his stance on AI hardware as current computers can’t meet the demands

Sam Altman, CEO of OpenAI, has returned from his earlier position, saying that AGI would not need new hardware.

Speaking on a podcast with his brother, Altman said current computers are no longer suited for the fast-evolving demands of AI. Instead of relying on standard hardware, he now believes new solutions are necessary.

OpenAI has already started developing dedicated AI hardware, including potential custom chips, marking a shift from using general-purpose GPUs and servers.

Altman also hinted at a new device — not a wearable, nor a phone — that could serve as an AI companion. Designed to be screen-free and aware of its surroundings, the product is being co-developed with former Apple design chief Jony Ive.

The collaboration, however, has run into legal trouble. A federal judge recently ordered OpenAI and Ive to pause the promotion of the new venture after a trademark dispute with a startup named IYO, which had previously pitched similar ideas to Altman’s investment firm.

OpenAI’s recent $6.5 billion acquisition of io Products, co-founded by Ive, reflects the company’s more profound commitment to reshaping how people interact with AI.

Altman’s revised stance on hardware suggests the era of purpose-built AI devices is no longer a vision but a necessary reality.

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AI governance through the lens of magical realism

AI today straddles the line between the extraordinary and the mundane, a duality that evokes the spirit of magical realism—a literary genre where the impossible blends seamlessly with the real. Speaking at the 20th Internet Governance Forum (IGF) in Lillestrøm, Norway, Jovan Kurbalija proposed that we might better understand the complexities of AI governance by viewing it through this narrative lens.

Like Gabriel García Márquez’s floating characters or Salman Rushdie’s prophetic protagonists, AI’s remarkable feats—writing novels, generating art, mimicking human conversation—are increasingly accepted without question, despite their inherent strangeness.

Kurbalija argues that AI, much like the supernatural in literature, doesn’t merely entertain; it reveals and shapes profound societal realities. Algorithms quietly influence politics, reshape economies, and even redefine relationships.

Just as magical realism uses the extraordinary to comment on power, identity, and truth, AI forces us to confront new ethical dilemmas: Who owns AI-created content? Can consent be meaningfully given to machines? And does predictive technology amplify societal biases?

The risks of AI—job displacement, misinformation, surveillance—are akin to the symbolic storms of magical realism: always present, always shaping the backdrop. Governance, then, must walk a fine line between stifling innovation and allowing unchecked technological enchantment.

Kurbalija warns against ‘black magic’ policy manipulation cloaked in humanitarian language and urges regulators to focus on real-world impacts while resisting the temptation of speculative fears. Ultimately, AI isn’t science fiction—it’s magical realism in motion.

As we build policies and frameworks to govern it, we must ensure this magic serves humanity, rather than distort our sense of what is real, ethical, and just. In this unfolding story, the challenge is not only technological, but deeply human.

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SoftBank shifts focus to AI and next-generation chips

Masayoshi Son, founder and CEO of SoftBank, has indicated his readiness to pass the leadership baton after decades at the helm. Speaking to shareholders in Tokyo, the 67-year-old entrepreneur said he had mentally prepared to step aside and had already identified internal candidates.

However, he noted that revealing a successor prematurely could affect dynamics within the company.
While succession planning is underway, Son focuses on positioning SoftBank as a global leader in artificial superintelligence (ASI).

The company is pursuing aggressive investments, including a proposed $30 billion stake in OpenAI, the acquisition of UK-based Graphcore, and a potential purchase of US firm Ampere Computing.

Plans are also in motion to build a central tech hub in Arizona, modelled on Shenzhen, featuring advanced chip infrastructure and a possible partnership with TSMC.

SoftBank’s reach extends well beyond the US and Japan. India has invested over $10 billion across 24 companies, including Paytm, Ola Electric, and Swiggy. These ventures have spurred rapid growth and successful IPOs, reinforcing SoftBank’s influence over the country’s digital economy.

Shareholder confidence plays a crucial role in sustaining SoftBank’s bold innovation strategy. Many Japanese retail investors have remained loyal for decades, drawn by Son’s enduring vision and the promise of future breakthroughs.

With AI now firmly at the centre of SoftBank’s roadmap, the company is betting big on a future it hopes to shape.

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Google Doppl, the new AI app, turns outfit photos into try-on videos

Google has unveiled Doppl, a new AI-powered app that lets users create short videos of themselves wearing any outfit they choose.

Instead of relying on imagination or guesswork, Doppl allows people to upload full-body photos and apply outfits seen on social media, thrift shops, or friends, creating animated try-ons that bring static images to life.

The app builds on Google’s earlier virtual try-on tools integrated with its Shopping Graph. Doppl pushes things further by transforming still photos into motion videos, showing how clothes flow and fit in movement.

Users can upload their full-body image or choose an AI model to preview outfits. However, Google warns that the fit and details might not always be accurate at an early stage.

Doppl is currently only available in the US for Android and iOS users aged 18 or older. While Google encourages sharing videos with friends and followers, the tool raises concerns about misuse, such as generating content using photos of others.

Google’s policy requires disclosure if someone impersonates another person, but the company admits that some abuse may occur. To address the issue, Doppl content will include invisible watermarks for tracking.

In its privacy notice, Google confirmed that user uploads and generated videos will be used to improve AI technologies and services. However, data will be anonymised and separated from user accounts before any human review is allowed.

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AI crypto apps see explosive user growth in 2025

AI is rapidly gaining ground in the blockchain world, with user activity and funding hitting new highs in 2025. According to a report by DappRadar, AI-related on-chain activity has surged 86% since January, with 4.5 million daily users engaging with AI-powered decentralised apps.

AI DApps have grown their market share to 19%, just behind blockchain gaming’s 20%. DappRadar analyst Sara Gherghelas said the rise of AI agents reflects more than hype, calling it a structural shift in how users interact with Web3 platforms.

From DeFi copilots to gaming bots, AI agents are emerging as a new layer for on-chain interaction.

Investor interest is growing as well. AI agent projects have already raised $1.39 billion this year—9.4% more than in 2024. Gherghelas noted that funding for AI agents now rivals or exceeds other Web3 verticals, including blockchain gaming.

User growth is global, with most AI DApp interactions coming from Europe (26%), followed by Asia (22%) and North America (15.8%). A significant 33% of activity comes from anonymous or unspecified sources. Analysts believe AI agents are becoming essential to the decentralised ecosystem worldwide.

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Dutch government to build AI plant with €70 million pledge

The Dutch government has pledged €70 million to build a new AI facility in Groningen to establish a European hub for AI research and development.

A consortium of Dutch organisations will manage the plant and focus on healthcare, agriculture, defence and energy applications.

The government is also seeking an additional €70 million in EU co-financing and has welcomed a separate €60 million contribution from the Groningen regional administration.

The plant is expected to be commissioned in 2026 and reach operation by early 2027 if funding is secured.

Minister of Economic Affairs Vincent Karremans emphasised the need to develop domestic AI capacity, warning that dependence on foreign technologies could threaten national competitiveness and digital independence.

‘Those who do not develop the technology themselves depend on others, ’ Karremans said on the government’s website.

European countries have grown increasingly concerned over their reliance on AI technologies developed by US companies.

The Groningen initiative marks a broader effort by the EU to build its own AI infrastructure instead of leaving strategic control in foreign hands.

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Gartner warns that more than 40 percent of agentic AI projects could be cancelled by 2027

More than 40% of agentic AI projects will likely be cancelled by the end of 2027 due to rising costs, limited business value, and poor risk control, according to research firm Gartner.

These cancellations are expected as many early-stage initiatives remain trapped in hype, often misapplied and far from ready for real-world deployment.

Gartner analyst Anushree Verma warned that most agentic AI efforts are still at the proof-of-concept stage. Instead of focusing on scalable production, many companies have been distracted by experimental use cases, underestimating the cost and complexity of full-scale implementation.

A recent poll by Gartner found that only 19% of organisations had made significant investments in agentic AI, while 31% were undecided or waiting.

Much of the current hype is fuelled by vendors engaging in ‘agent washing’ — marketing existing tools like chatbots or RPA under a new agentic label without offering true agentic capabilities.

Out of thousands of vendors, Gartner believes only around 130 offer legitimate agentic solutions. Verma noted that most agentic models today lack the intelligence to deliver strong returns or follow complex instructions independently.

Still, agentic AI holds long-term promise. Gartner expects 15% of daily workplace decisions to be handled autonomously by 2028, up from zero in 2024. Moreover, one-third of enterprise applications will include agentic capabilities by then.

However, to succeed, organisations must reimagine workflows from the ground up, focusing on enterprise-wide productivity instead of isolated task automation.

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YouTube adds AI search results for travel, shopping and more

YouTube is launching a new AI-powered search feature that mirrors Google’s AI Overviews, aiming to improve how users discover content on the platform.

The update introduces an ‘AI-powered search results carousel’ when YouTube users search for shopping, travel, or local activities.

The carousel offers a collection of video thumbnails and an AI-generated summary highlighting the key topics related to the search. For example, someone searching for ‘best beaches in Hawaii’ might see curated clips of snorkelling locations, volcanic coastlines, and planning tips — all surfaced by the AI.

Currently, the feature is available only to YouTube Premium users in the US. However, the platform plans to expand its conversational AI tool — which provides deeper insights, suggestions, and video summaries — to non-Premium users in the US soon.

That tool was first launched in 2023 to help users better understand content while watching.

YouTube is doubling down on AI features to keep users engaged and make content discovery more intuitive, especially in categories involving planning and decision-making.

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Meta hires top OpenAI researcher for AI superintelligence push

Meta has reportedly hired AI researcher Trapit Bansal, who previously worked closely with OpenAI co-founder Ilya Sutskever on reinforcement learning and co-created the o1 reasoning model.

Bansal joins Meta’s ambitious superintelligence team, which is focused on further pushing AI reasoning capabilities.

Former Scale AI CEO Alexandr Wang leads the new team, brought in after Meta invested $14.3 billion in the AI data labelling company.

Alongside Bansal, several other notable figures have recently joined, including three OpenAI researchers from Zurich, a former Google DeepMind expert, Jack Rae, and a senior machine learning lead from Sesame AI.

Meta CEO Mark Zuckerberg is accelerating AI recruitment by negotiating with prominent names like former GitHub CEO Nat Friedman and Safe Superintelligence co-founder Daniel Gross.

Despite these aggressive efforts, OpenAI CEO Sam Altman revealed that even $100 million joining bonuses have failed to lure key staff away from his firm.

Zuckerberg has also explored acquiring startups such as Sutskever’s Safe SuperIntelligence and Perplexity AI, further highlighting Meta’s urgency in catching up in the generative AI race.

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