Google rolls out AI to improve US power grid connections

Google has announced a partnership with PJM Interconnection, the largest electricity grid operator in North America, to deploy AI aimed at reducing delays in connecting new power sources to the grid. The move comes as energy demand surges due to the expansion of data centres required for AI development.

Wait times for connecting renewable and traditional energy sources, such as wind, solar and gas, have reached record levels, increasing the risk of blackouts and rising energy costs in the US. Google’s AI technology, developed alongside Alphabet-backed Tapestry, will streamline and automate key planning processes traditionally handled manually by grid operators.

Initial deployment will focus on automating tasks like assessing project viability, which are currently time-consuming. Over time, the project aims to create a digital model of PJM’s grid, similar to Google Maps, allowing planners to view layered data and make faster, more informed decisions.

While it is too early to quantify exactly how much time will be saved, the collaboration is expected to gradually improve planning efficiency. PJM’s grid serves 67 million people, including the world’s largest data centre hub in northern Virginia, making this a critical step toward modernising the energy infrastructure needed to support the AI era.

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AI giant Nvidia rebounds but challenges remain

Shares in Nvidia soared by nearly 20 per cent following a 90-day suspension of new US tariffs, lifting Wall Street to one of its strongest single-day performances in decades. The tech giant, whose chips underpin much of the AI boom from tools like ChatGPT to drone technologies, added $440bn to its market value in just one session, underlining its pivotal role in the global AI race.

Despite the rally, serious concerns remain. While some tariffs were temporarily halted, President Donald Trump raised levies on Chinese imports to as high as 125 per cent. For Nvidia, whose supply chain relies heavily on advanced manufacturing in Asia, particularly Taiwan and South Korea, the move threatens to disrupt both costs and production timelines. Analysts caution that such trade friction could deter investment in AI infrastructure, which is still in early stages of commercial return.

Even with strong revenues and continued dominance in AI hardware, Nvidia faces growing headwinds. The firm’s recent share slump reflected broader anxiety over whether AI spending is peaking, alongside the rise of cheaper, open-source alternatives. Added pressure from high energy demands, regulatory risks, and tighter capital markets could further complicate growth. Industry watchers warn that tariffs may undermine the very conditions AI needs to flourish: stable supply chains, affordable power, and investor confidence.

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ICT policy reform planned to boost digital economy in Bangladesh

Bangladesh is set to overhaul key ICT and telecom policies by June to eliminate major barriers to digital growth, according to Faiz Ahmad Taiyeb, Special Assistant to the Chief Adviser for Posts, Telecommunications and ICT.

He shared the plan at the Bangladesh Investment Summit 2025, highlighting that modern laws and a supportive business environment will pave the way for stronger digital investments.

Taiyeb noted that for over 15 years, fragmented digital initiatives have led to isolated systems with little integration or interoperability.

However, this lack of coordination has weakened citizen services and digital payments, and the government now aims to fix these issues as a top priority. The goal is to empower the country’s vast youth population through technology.

Several major reforms are currently in progress. The Cyber Security Ordinance, set to be finalised by the end of April, will introduce new transparency measures by requiring the government to disclose information about online content restrictions, giving citizens the right to legally challenge them.

Changes to the telecom licensing framework and network infrastructure are also moving forward.

At the summit’s digital growth panel, international experts called for easier cross-border e-commerce and fewer restrictions on digital transactions.

Bangladesh Bank plans to introduce full interoperability in digital payments by next year, and Grameenphone’s CEO highlighted how mobile connectivity continues to drive economic transformation.

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Fujitsu launches AI scanner to assess tuna fat

Fujitsu has developed a new AI-powered inspection device that determines the fat content of frozen albacore tuna with unprecedented speed and accuracy. Replacing the traditional practice of slicing and thawing tuna tails for human evaluation, the technology uses ultrasonic waves and artificial intelligence to analyse the internal marbling of the fish without causing damage.

The system scans each tuna from four angles, generating waveforms that an AI algorithm interprets to assess fat levels. Results are displayed in seconds with labels such as ‘highly marbled’ or ‘low fat’, dramatically reducing the time required compared to manual inspection. While visual assessment typically takes around a minute, Fujitsu’s device completes the process in just 12 seconds.

Developed in partnership with Tokai University and with support from machinery firm Ishida Tech, the device promises greater consistency and the ability to inspect every fish in a catch, something previously considered too labour-intensive. Scheduled to launch in June, it will be priced between 30 million and 35 million yen (£160,000–£187,000). Fujitsu aims to expand the system to evaluate additional species like yellowfin and bonito, and to assess freshness and texture in future updates.

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Anker raises prices amid rising US tariffs

Chinese tech company Anker, one of Amazon’s largest sellers, has raised prices on a fifth of its products on the platform since last Thursday. The price hikes, averaging 18%, are a direct result of the recent increase in US tariffs on Chinese goods.

The majority of the price rises occurred after 7 April, when President Donald Trump imposed an additional 50% import duty on Chinese imports.

It follows a broader trend where US import tariffs on Chinese goods have now reached 145%, while Beijing retaliated by raising tariffs on US products to 125%.

In response, China’s largest cross-border e-commerce association warned that many Chinese businesses selling on Amazon are considering price hikes or may leave the US market altogether.

Anker, a major player in the e-commerce space since its founding in 2011, has leveraged its bargaining power to implement these price increases.

With 5,000 employees and annual revenues of 22.17 billion yuan ($3 billion), Anker is able to absorb some of the tariff pressure while many of its competitors face similar challenges.

The company has also hinted at expanding into non-US markets, including Europe and Southeast Asia, as it seeks to navigate the increasingly challenging trade environment.

Anker and Amazon did not immediately respond to requests for comment.

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EU prepares new data strategy for AI growth

The European Commission will soon launch a consultation on its upcoming Data Union Strategy, a key part of efforts to boost Europe’s leadership in AI.

The strategy, set to be published by the end of the year, aims to make it easier for businesses and public bodies to share data securely and efficiently across the EU.

The initiative supports the broader AI Continent Action Plan, expected to be unveiled this week, which seeks to encourage faster adoption of AI technologies by European companies.

Instead of relying on fragmented systems, the Commission wants to improve data access, digital infrastructure, and cloud capabilities while investing in talent and streamlining complex processes.

The plan includes the creation of AI factories where companies can train models using EU-based resources, and a separate Cloud and AI Development Act later this year will promote energy-efficient investments to support these goals.

Public feedback on the Data Union Strategy will be gathered from April to June as part of the consultation process.

Despite the ambition, the Commission acknowledges ongoing concerns such as uncertainty around international data flows and challenges accessing suitable data for generative AI.

Strict privacy laws like the GDPR, instead of enabling wider AI training, have led to frustration from major tech firms over regulatory delays in Europe.

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Meta to block livestreaming for under 16s without parental permission

Meta will soon prevent children under 16 from livestreaming on Instagram unless their parents explicitly approve.

The new safety rule is part of broader efforts to protect young users online and will first be introduced in the UK, US, Canada and Australia, before being extended to the rest of Europe and beyond in the coming months.

The company explained that teenagers under 16 will also need parental permission to disable a feature that automatically blurs images suspected of containing nudity in direct messages.

These updates build on Meta’s teen supervision programme introduced last September, which gives parents more control over how their children use Instagram.

Instead of limiting the changes to Instagram alone, Meta is now extending similar protections to Facebook and Messenger.

Teen accounts on those platforms will be set to private by default, and will automatically block messages from strangers, reduce exposure to violent or sensitive content, and include reminders to take breaks after an hour of use. Notifications will also pause during usual bedtime hours.

Meta said these safety tools are already being used across at least 54 million teen accounts. The company claims the new measures will better support teenagers and parents alike in making social media use safer and more intentional, instead of leaving young users unprotected or unsupervised online.

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Microsoft pauses $1 billion data centre project in Ohio

Microsoft has announced it is ‘slowing or pausing’ some data centre construction projects, including a $1 billion plan in Ohio, amid shifting demand for AI infrastructure.

The company confirmed it would halt early-stage development on rural land in Licking County, near Columbus, and will repurpose two of the sites for farmland.

The decision follows Microsoft’s rapid scaling of infrastructure to meet the soaring demand for AI and cloud services, which has since softened. The company acknowledged that such large projects require continuous adaptation to align with customer needs.

While Microsoft did not specify other paused projects, it revealed the suspension of later stages of a Wisconsin data centre expansion.

The slowdown also coincides with changes in Microsoft’s partnership with OpenAI, with the two companies revising their agreement to allow OpenAI to build its own AI infrastructure. This move reflects broader trends in AI computing needs, which are expensive and energy-intensive.

Despite the pause in Ohio, Microsoft plans to invest over $80 billion in AI infrastructure this fiscal year, continuing its global expansion, though it will now strategically pace its growth to align with evolving business priorities.

Local officials in Licking County expressed their disappointment, as the area had been a hub for significant tech investments, including those from Google and Meta.

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IBM pushes towards quantum advantage in two years with breakthrough code

IBM’s Quantum CTO, Oliver Dial, predicts that quantum advantage, where quantum computers outperform classical ones on specific tasks, could be achieved within two years.

The milestone is seen as possible due to advances in error mitigation techniques, which enable quantum computers to provide reliable results despite their inherent noise. While full fault-tolerant quantum systems are still years away, IBM’s focus on error mitigation could bring real-world results soon.

A key part of IBM’s progress is the introduction of the ‘Gross code,’ a quantum error correction method that drastically reduces the number of physical qubits needed per logical qubit, making the engineering of quantum systems much more feasible.

Dial described this development as a game changer, improving both efficiency and practicality, making quantum systems easier to build and test. The Gross code reduces the need for large, cumbersome arrays of qubits, streamlining the path toward more powerful quantum computers.

Looking ahead, IBM’s roadmap outlines ambitious goals, including building a fully error-corrected system with 200 logical qubits by 2029. Dial stressed the importance of flexibility in the roadmap, acknowledging that the path to these goals could shift but would still lead to the achievement of quantum milestones.

The company’s commitment to these advancements reflects the dedication of the quantum team, many of whom have been working on the project for over a decade.

Despite the excitement and the challenges that remain, IBM’s vision for the future of quantum computing is clear: building the world’s first useful quantum computers.

The company’s ongoing work in quantum computing continues to capture imaginations, with significant steps being taken towards making these systems a reality in the near future.

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Google unveils new AI agent toolkit

This week at Google Cloud Next in Las Vegas, Google revealed its latest push into ‘agentic AI’. A software designed to act independently, perform tasks, and communicate with other digital systems.

Central to this effort is the Agent Development Kit (ADK), an open-source toolkit said to let developers build AI agents in under 100 lines of code.

Instead of requiring complex systems, the ADK includes pre-built connectors and a so-called ‘agent garden’ to streamline integration with data platforms like BigQuery and AlloyDB.

Google also introduced a new Agent2Agent (A2A) protocol, aimed at enabling cooperation between agents from different vendors. With over 50 partners, including Accenture, SAP and Salesforce, already involved, the company hopes to establish a shared standard for AI interaction.

Powering these tools is Google’s latest AI chip, Ironwood, a seventh-generation TPU promising tenfold performance gains over earlier models. These chips, designed for use with advanced models like Gemini 2.5, reflect Google’s ambition to dominate AI infrastructure.

Despite the buzz, analysts caution that the hype around AI agents may outpace their actual utility. While vendors like Microsoft, Salesforce and Workday push agentic AI to boost revenue, in some cases even replacing staff, experts argue that current models still fall short of real human-like intelligence.

Instead of widespread adoption, businesses are expected to focus more on managing costs and complexity, especially as economic uncertainty grows. Without strong oversight, these tools risk becoming costly, unpredictable, and difficult to scale.

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