E-commerce and trade

Tech stocks rally after Trump halts tariffs

Global stock markets experienced a significant surge following President Donald Trump’s announcement of a 90-day suspension on tariffs for several countries. The tech-heavy Nasdaq Composite Index soared over 12%, marking its second-best day ever and the most substantial gain since January 2001.

Leading technology firms saw remarkable recoveries. Apple’s shares jumped over 15%, achieving their best performance since January 1998, after enduring a severe four-day decline that erased nearly $800 million in market value.

Tesla and Nvidia also experienced substantial gains, rising 18% and 22% respectively, while Meta Platforms increased by 15%. Amazon, Microsoft, and Alphabet each posted gains of around 10%.

Asian markets mirrored this positive trend, with Japan’s benchmark index climbing more than 2,000 points shortly after the Tokyo exchange opened. Investors responded favourably to the tariff relief, anticipating reduced trade tensions and improved economic prospects.

Despite the optimism, concerns remain regarding ongoing trade disputes, particularly with China. While tariffs were paused for several nations, levies on Chinese imports were raised to 125%, potentially impacting companies with significant manufacturing operations in China, such as Apple.

Analysts caution that, despite the current market rally, the long-term implications of these trade policies warrant close monitoring.

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Google pushes AI limits with Ironwood

Google has announced Ironwood, its latest and most advanced AI processor, marking the seventh generation of its custom Tensor Processing Unit (TPU) architecture.

Designed specifically for the growing demands of its Gemini models, particularly those requiring complex simulated reasoning, which Google refers to as ‘thinking’, Ironwood represents a significant leap forward in performance.

Instead of relying solely on software updates, Google is highlighting how hardware like Ironwood plays a central role in boosting AI capabilities, ushering in what it calls the ‘age of inference.’

However, this TPU is not just faster but dramatically more scalable. Ironwood chips will operate in tightly connected clusters of up to 9,216 units, each cooled by liquid and linked through an enhanced Inter-Chip Interconnect.

These chips can also be deployed in smaller 256-chip servers, offering flexibility for cloud developers and researchers.

Instead of offering modest improvements, Ironwood delivers a peak throughput of 4,614 teraflops per chip, alongside 192GB of memory and 7.2 terabits per second of bandwidth, making it vastly superior to its predecessor, Trillium.

Google says this advancement is more than a performance boost, it’s a foundation for building AI agents that can act on a user’s behalf by gathering information and producing outputs proactively.

Rather than functioning as passive tools, AI systems powered by Ironwood are intended to behave more independently, reflecting a growing trend toward what Google calls ‘agentic AI.’

While Google’s comparison to supercomputers like El Capitan may be flawed due to differing hardware standards, there’s no doubt Ironwood is a substantial upgrade. The company claims it is twice as powerful per watt as the v5p TPU, even if the newer Trillium (v6) chip wasn’t included in the comparison.

Regardless, Ironwood is expected to power the next generation of AI breakthroughs, as the company prepares to move beyond its current Gemini 2.5 model.

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Brinc drones raises $75M to boost emergency drone tech

Brinc Drones, a Seattle-based startup founded by 25-year-old Blake Resnick, has secured $75 million in fresh funding led by Index Ventures.

Known for its police and public safety drones, Brinc is scaling its presence across emergency services, with the new funds bringing total investment to over $157 million. The round also includes participation from Motorola Solutions, a major player in US security infrastructure.

The company, founded in 2017, is part of a growing wave of American drone startups benefiting from tightened restrictions on Chinese drone manufacturers.

Brinc’s drones are designed for rapid response in hard-to-reach areas and boast unique features, such as the ability to break windows or deliver emergency supplies.

The new partnership with Motorola will enable tighter integration into 911 call centres, allowing AI systems to dispatch drones directly to emergency scenes.

Despite growing competition from other US startups like Flock Safety and Skydio, Brinc remains confident in the market’s potential.

With its enhanced funding and Motorola collaboration, the company is aiming to position itself as a leader in AI-integrated public safety technology while helping shift drone manufacturing back to the US.

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Blockchain app ARK fights to keep human creativity ahead of AI

Nearly 20 years after his AI career scare, screenwriter Ed Bennett-Coles and songwriter Jamie Hartman have developed ARK, a blockchain app designed to safeguard creative work from AI exploitation.

The platform lets artists register ownership of their ideas at every stage, from initial concept to final product, using biometric security and blockchain verification instead of traditional copyright systems.

ARK aims to protect human creativity in an AI-dominated world. ‘It’s about ring-fencing the creative process so artists can still earn a living,’ Hartman told AFP.

The app, backed by Claritas Capital and BMI, uses decentralised blockchain technology instead of centralised systems to give creators full control over their intellectual property.

Launching summer 2025, ARK challenges AI’s ‘growth at all costs’ mentality by emphasising creative journeys over end products.

Bennett-Coles compares AI content to online meat delivery, efficient but soulless, while human artistry resembles a grandfather’s butcher trip, where the experience matters as much as the result.

The duo hopes their solution will inspire industries to modernise copyright protections before AI erodes them completely.

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Amazon launches Nova Sonic AI for natural voice interactions

Amazon has unveiled Nova Sonic, a new AI model designed to process and generate human-like speech, positioning it as a rival to OpenAI and Google’s top voice assistants. The company claims it outperforms competitors in speed, accuracy, and cost, and it is reportedly 80% cheaper than GPT-4o.

Already powering Alexa+, Nova Sonic excels in real-time conversation, handling interruptions and noisy environments better than legacy AI assistants.

Unlike older voice models, Nova Sonic can dynamically route requests, fetching live data or triggering external actions when needed. Amazon says it achieves a 4.2% word error rate across multiple languages and responds in just 1.09 seconds, faster than OpenAI’s GPT-4o.

Developers can access it via Bedrock, Amazon’s AI platform, using a new streaming API.

The launch signals Amazon’s push into artificial general intelligence (AGI), AI that mimics human capabilities.

Rohit Prasad, head of Amazon’s AGI division, hinted at future models handling images, video, and sensory data. This follows last week’s preview of Nova Act, an AI for browser tasks, suggesting Amazon is accelerating its AI rollout beyond Alexa.

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Minister urges Indian start-ups to shift focus from ice cream to semiconductors

India’s Commerce Minister Piyush Goyal has sparked controversy by questioning whether Indian start-ups should focus on semiconductor chips instead of gluten-free ice creams and food delivery apps.

Speaking at a start-up conference, he compared India’s consumer internet boom unfavourably with China’s advances in robotics and AI, urging entrepreneurs to pursue more ambitious tech innovations instead of safe lifestyle products.

While acknowledging the position of India as the world’s third-largest start-up ecosystem, Goyal faced pushback from founders who argued consumer apps often evolve into tech pioneers.

Quick-commerce CEO Aadit Palicha noted that companies like Amazon began as consumer platforms before revolutionising cloud computing. However, investors admitted deep-tech struggles for funding, with most capital chasing quick-return ventures instead of long-term hardware or AI projects.

The debate highlights India’s innovation crossroads. Despite having 4,000 deep-tech start-ups, projected to reach 10,000 by 2030, they attracted just 5% of 2023 funding instead of China’s 35%.

Experts suggest the government could help by offering tax incentives instead of criticism, and building research bridges between academia and start-ups to compete globally in advanced technologies

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Trump moves to prop up struggling coal industry

President Trump is set to sign an executive order designating coal as a critical mineral instead of allowing its continued decline in the energy sector.

The order will force some coal-fired power plants slated for closure to remain operational, with the administration citing rising electricity demand from data centres instead of acknowledging coal’s dwindling competitiveness.

Currently, coal generates just 15% of US electricity instead of its 51% share in 2001, having been overtaken by cheaper natural gas and renewables.

Environmental experts warn coal remains the dirtiest energy source instead of cleaner alternatives, releasing harmful pollutants linked to health issues like heart disease and mercury poisoning. While the order may temporarily slow plant closures, analysts note it won’t reverse coal’s decline.

Solar and wind power now undercut operating costs at nearly all US coal plants instead of being more expensive, as was once the case.

The move could have more impact in steelmaking, where coal is still used instead of newer green steel techniques in most production. However, for power generation, renewables can be deployed faster than new coal plants instead of struggling to meet demand.

The order appears to prioritise political symbolism instead of addressing energy market realities, as even existing coal plants struggle to compete with increasingly affordable clean energy alternatives.

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New AI firm Deep Cogito launches versatile open models

A new San Francisco-based startup, Deep Cogito, has unveiled its first family of AI models, Cogito 1, which can switch between fast-response and deep-reasoning modes instead of being limited to just one approach.

These hybrid models combine the efficiency of standard AI with the step-by-step problem-solving abilities seen in advanced systems like OpenAI’s o1. While reasoning models excel in fields like maths and physics, they often require more computing power, a trade-off Deep Cogito aims to balance.

The Cogito 1 series, built on Meta’s Llama and Alibaba’s Qwen models instead of starting from scratch, ranges from 3 billion to 70 billion parameters, with larger versions planned.

Early tests suggest the top-tier Cogito 70B outperforms rivals like DeepSeek’s reasoning model and Meta’s Llama 4 Scout in some tasks. The models are available for download or through cloud APIs, offering flexibility for developers.

Founded in June 2024 by ex-Google DeepMind product manager Dhruv Malhotra and former Google engineer Drishan Arora, Deep Cogito is backed by investors like South Park Commons.

The company’s ambitious goal is to develop ‘general superintelligence,’ AI that surpasses human capabilities, rather than merely matching them. For now, the team says they’ve only scratched the surface of their scaling potential.

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Amazon’s Nova Reel can now generate two-minute AI videos

Amazon has enhanced its generative AI video tool, Nova Reel, with an update that allows for the creation of videos up to two minutes long.

The updated model, Nova Reel 1.1, supports multi-shot video generation with a consistent style and accepts detailed prompts of up to 4,000 characters.

A new feature called Multishot Manual gives users more creative control, combining images and short prompts to guide video composition. However, this mode supports up to 20 shots from a single 1280 x 720 image and a 512-character prompt, offering finer-tuned outputs.

Nova Reel is currently accessible through Amazon Web Services (AWS), including its Bedrock AI development suite, although developers must request access, which is automatically granted.

The model enters a competitive field dominated by OpenAI, Google, and others racing to lead in generative video AI.

Despite its growing capabilities, Amazon has not disclosed how the model was trained or the sources of its training data. Questions around intellectual property remain, but Amazon says it will shield customers from copyright claims through its indemnification policy.

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IBM unveils AI-powered mainframe z17

IBM has announced the launch of its most advanced mainframe yet, the z17, powered by the new Telum II processor. Designed to handle more AI operations, the system delivers up to 50% more daily inference tasks than its predecessor.

The z17 features a second-generation on-chip AI accelerator and introduces new tools for managing and securing enterprise data. A Spyre Accelerator add-on, expected later this year, will enable generative AI features such as large language models.

More than 100 clients contributed to the development of the z17, which also supports a forthcoming operating system, z/OS 3.2. The OS update is set to enable hybrid cloud data processing and enhanced NoSQL support.

IBM says the z17 brings AI to the core of enterprise infrastructure, enabling organisations to tap into large data sets securely and efficiently, with strong performance across both traditional and AI workloads.

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