ABB sells Robotics division to SoftBank in $5.4 billion deal

The Swedish-Swiss electrical engineering corporation ABB has agreed to sell its Robotics division to Japan’s SoftBank Group for an enterprise value of $5.375 billion, abandoning plans for a spin-off.

However, the move marks one of the most significant robotics transactions in recent years, and reflects both firms’ ambition to drive the next era of AI-based automation.

A divestment that will allow ABB to focus on its core businesses in electrification and automation, while SoftBank expands its ‘Physical AI’ strategy.

ABB said the sale would create immediate shareholder value and that proceeds would be used according to its capital allocation principles.

The Robotics division, which employs around 7,000 people and generated $2.3 billion in 2024 revenues, will become part of SoftBank’s portfolio upon completion of the deal, expected by mid-to-late 2026. The transaction is projected to yield ABB a pre-tax book gain of about $2.4 billion.

SoftBank founder Masayoshi Son said the acquisition aligns with his vision to combine artificial superintelligence and robotics to ‘propel humanity forward’.

ABB’s CEO Morten Wierod said the partnership would unite ABB’s industrial expertise with SoftBank’s AI capabilities, strengthening its global leadership in advanced robotics.

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Opal’s global rollout spans 15 countries with major feature upgrades

Google is expanding access to Opal, its no-code AI mini-app builder. Introduced two months ago within Google Labs, the tool enables users to create AI-powered mini-apps through natural language prompts, eliminating the need for coding.

According to Megan Li, Senior Product Manager at Google Labs, the expansion follows strong early engagement from creators. Users can access Opal at opal.withgoogle.com and join its builder community through Discord.

New debugging features aim to make workflows more transparent and efficient. Users can now run workflows step by step in a visual editor or adjust specific steps in the console, with real-time error reporting.

Performance upgrades have been introduced to speed up app creation, while parallel run capabilities enable simultaneous workflow steps. The rollout covers India, Canada, Japan, South Korea, Vietnam, Indonesia, Brazil, Singapore, Colombia, El Salvador, Costa Rica, Panamá, Honduras, and Argentina.

Meanwhile, Google DeepMind has launched Gemini 2.5 Computer Use, a specialised model capable of interacting with user interfaces. Available in preview through the Gemini API, it can be accessed via Google AI Studio and Vertex AI Studio.

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Kazakhstan turns to AI to fight the shadow economy

Kazakhstan’s Prime Minister Olzhas Bektenov has directed the full implementation of AI across government agencies to meet President Kassym-Jomart Tokayev’s goal of reducing the shadow economy’s share in GDP to 15 percent in 2025.

At a government session, Bektenov said progress must go beyond reports and correspondence, calling for structural reforms in taxation, digitalisation, and business regulation. He urged ministries to pursue a ‘transparent economy’ through comprehensive AI and data integration initiatives.

The State Revenue Committee of Kazakhstan will lead the digital transformation, supported by a new Data Processing Centre established by the Ministry of Artificial Intelligence and Digital Development.

Bektenov stressed that digitalisation projects such as cashless payments and the digital tenge have already proven effective in curbing unrecorded transactions and improving financial oversight.

AI will also be deployed in customs risk profiling and cargo inspection analysis to detect fraud and reduce corruption.

The Ministries of Finance, Justice, Trade, and National Economy were instructed to integrate databases under the Smart Data Finance system and to finalise an automated risk management system for company registration by 25 November.

Deputy Prime Minister Serik Zhumangarin will oversee coordination.

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Africa launches world’s largest tokenised economy with $5.5 billion

Global Settlement Network (GSN) and Diacente Group have partnered to establish Africa’s most advanced tokenised economy, valued at $5.5 billion in real-world infrastructure. The collaboration digitises assets across food production, minerals, renewable energy, and trade.

The initiative aims to create an inclusive, efficient economic system, leveraging blockchain to enhance emerging markets’ global participation.

Uganda leads with its first Central Bank Digital Currency (CBDC) pilot, deployed on GSN’s permissioned blockchain and backed by treasury bonds. Agro-processing hubs, mining operations, and solar plants underpin the tokenisation effort.

Fully compliant with KYC and AML regulations, the digital shilling enables over 40 million users to transact securely via smartphones and USSD, fostering financial inclusion across East Africa.

The project supports Uganda’s Vision 2040 and the African Union’s Agenda 2063, aligning with the goals of the African Continental Free Trade Area. Leaders project one million jobs and $10 billion in annual exports.

Ryan Kirkley, GSN co-founder, calls it a ‘programmable economy grounded in real assets,’ while Diacente’s Edgar Agaba emphasises attracting investment and empowering local industries through transparent, tech-driven systems.

The partnership sets a precedent for emerging markets, reducing reliance on intermediaries and unlocking global capital. Tokenisation integrated with national development drives sustainable growth, offering a scalable model for digital economies based on real infrastructure and regulatory collaboration.

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Power grid spending surges as US braces for data centre and AI boom

US electric utilities are set to spend nearly $208 billion on the power grid in 2025 and more than $1.1 trillion over the next five years, according to the Edison Electric Institute. The surge in investment reflects rising demand from data centres, artificial intelligence, and wider electrification across the economy.

EEI data shows that investor-owned utilities spent $765 billion on capital projects in the five years to 2024. The new spending represents a significant increase and is aimed at upgrading and expanding infrastructure to keep pace with the accelerating demand for electricity.

The growing investment comes as demand from energy-intensive technologies continues to rise. Data centres and AI workloads are driving sustained growth in US power consumption, placing unprecedented pressure on existing infrastructure and prompting utilities to scale up their spending plans.

David Weeks, supply chain industry practice lead at Moody’s, warned that the escalating energy crisis could become a limiting factor across multiple industries. He said grid constraints and permitting delays must be factored into corporate supply chain strategies to avoid future disruptions.

As electrification spreads across the economy, grid reliability and capacity are becoming critical considerations for companies. The planned investment underscores the urgency of modernising the power grid to support economic growth while adapting to new technological demands.

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Study explores AI’s role in future-proofing buildings

AI could help design buildings that are resilient to both climate extremes and infectious disease threats, according to new research. The study, conducted in collaboration with Charles Darwin University, examines the application of AI in smart buildings, with a focus on energy efficiency and management.

Buildings account for over two-thirds of global carbon emissions and energy consumption, but reducing consumption remains challenging and costly. The study highlights how AI can enhance ventilation and thermal comfort, overcoming the limitations of static HVAC systems that impact sustainability and health.

Researchers propose adaptive thermal control systems that respond in real-time to occupancy, outdoor conditions, and internal heat. Machine learning can optimise temperature and airflow to balance comfort, energy efficiency, and infection control.

A new framework enables designers and facility managers to simulate thermal scenarios and assess their impact on the risk of airborne transmission. It is modular and adaptable to different building types, offering a quantitative basis for future regulatory standards.

The study was conducted with lead author Mohammadreza Haghighat from the University of Tehran and CDU’s Ehsan Mohammadi Savadkoohi. Future work will integrate real-time sensor data to strengthen building resilience against future climate and health threats.

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Sanders warns AI could erase 100 million US jobs

Senator Bernie Sanders has warned that AI and automation could eliminate nearly 100 million US jobs within the next decade unless stronger worker protections are introduced.

The report, titled The Big Tech Oligarchs’ War Against Workers, claims that companies such as Amazon, Walmart, JPMorgan Chase, and UnitedHealth already use AI to reduce their workforces while rewarding executives with multimillion-dollar pay packages.

According to the findings, nearly 90% of US fast-food workers, two-thirds of accountants, and almost half of truck drivers could see their jobs replaced by automation. Sanders argues that technological progress should enhance people’s lives rather than displace them,

His proposals include introducing a 32-hour workweek without loss of pay, a ‘robot tax’ for companies that replace human labour, and giving workers a share of profits and board representation.

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Anthropic launches Bengaluru office to drive responsible AI in India

AI firm Anthropic, the company behind the Claude AI chatbot, is opening its first office in India, choosing Bengaluru as its base.

A move that follows OpenAI’s recent expansion into New Delhi, underlining India’s growing importance as a hub for AI development and adoption.

CEO Dario Amodei said India’s combination of vast technical talent and the government’s commitment to equitable AI progress makes it an ideal location.

The Bengaluru office will focus on developing AI solutions tailored to India’s needs in education, healthcare, and agriculture sectors.

Amodei is visiting India to strengthen ties with enterprises, nonprofits, and startups and promote responsible AI use that is aligned with India’s digital growth strategy.

Anthropic plans further expansion in the Indo-Pacific region, following its Tokyo launch, later in the year.

Chief Commercial Officer Paul Smith noted the rising demand among Indian companies for trustworthy, scalable AI systems. Anthropic’s Claude models are already accessible in India through its API, Amazon Bedrock, and Google Cloud Vertex AI.

The company serves more than 300,000 businesses worldwide, with nearly 80 percent of usage outside the US.

India has become the second-largest market for Claude, with developers using it for tasks such as mobile UI design and web app debugging.

Anthropic also enhances Claude’s multilingual capabilities in major Indic languages, including Hindi, Bengali, and Tamil, to support education and public sector projects.

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OpenAI unveils AgentKit for faster AI agent creation

OpenAI has launched AgentKit, a new suite of developer tools designed to simplify AI-powered agents’ creation, deployment, and optimisation. The platform unifies workflows that previously required multiple systems, offering a faster and more visual way to build intelligent applications.

AgentKit’s AI includes Agent Builder, Connector Registry, ChatKit, and advanced evaluation tools. Developers can now design multi-agent workflows on a visual canvas, manage data connections across workspaces, and integrate chat-based agents directly into apps and websites.

Early users such as Ramp and LY Corporation built working agents in just a few hours, cutting development cycles by up to 70%. Companies including Canva and HubSpot have used ChatKit to embed conversational support agents, transforming customer experience and developer engagement.

New evaluation features and reinforcement fine-tuning allow users to test, grade, and improve agents’ reasoning abilities. AgentKit is now available to developers and enterprises through OpenAI’s API and ChatGPT Enterprise, with a wider rollout expected later this year.

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Bulgaria eyes AI gigafactory partnership with IBM

Bulgaria is considering building an AI gigafactory in partnership with IBM and the European Commission, Prime Minister Rosen Zhelyazkov announced after meeting with IBM executives in Sofia. The project aims to attract large-scale high-tech investment and strengthen Europe’s AI infrastructure.

The proposed facility would feature over 100,000 advanced GPU chips and require up to 500 megawatts of power. The initial phase alone is expected to need around 70 megawatts, highlighting the scale of the planned operation.

Funding could come through a public-private partnership, with the European Commission covering up to 17 percent of capital costs and EU member states contributing additional support for this Bulgarian project.

IBM is considered a strategic technology partner, bringing expertise in cloud computing, cybersecurity, and AI systems. The first gigafactories across Europe are expected to begin operations between 2027 and 2028, aligning with the EU’s plan to mobilise €200 billion for AI development.

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