A senior PwC expert has outlined how AI can play a pivotal role in speeding up the transition to clean energy, particularly by improving forecasting, enhancing operational efficiency and enabling smarter planning of renewable systems.
According to the specialist, AI tools can analyse complex data from wind, solar and grid systems to predict output and optimise maintenance, helping utilities and policymakers make better decisions in real time.
AI also supports decarbonisation by modelling scenarios for energy demand and emissions, allowing energy planners to prioritise investments in technologies that deliver the most impact.
The expert emphasised that data integration and digital infrastructure are essential to unlock these benefits at scale, and cautioned that firms must pair AI’s technical capabilities with strong governance and clear regulatory frameworks.
PwC’s perspective reflects a broader industry belief that AI will be integral to managing increasingly complex energy systems, especially as countries pursue net-zero targets and integrate variable renewables into their grids.
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The tech giant, IBM, has announced IBM Sovereign Core, a new software offering designed to help organisations deploy and manage AI-ready environments under sovereign control.
The product addresses growing regulatory and governance requirements as enterprises and governments seek greater authority over data, infrastructure and AI operations.
Digital sovereignty, according to IBM, extends beyond where data is stored and includes who controls systems, how access is governed and under which jurisdiction AI workloads operate.
IBM Sovereign Core is positioned as a foundational software layer that embeds sovereignty into operations instead of applying controls after deployment.
Built on Red Hat’s open-source technologies, the software enables customer-operated control planes, in-jurisdiction identity management and continuous compliance reporting. AI workloads, including inference and model hosting, can be governed locally without exporting data to external providers.
IBM plans to offer the software across on-premises environments, in-region cloud infrastructure and through selected service providers.
A technology preview is expected to begin in February, with full general availability planned for mid-2026.
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SEC Chair Paul Atkins says US crypto market structure legislation is close to becoming law, with President Donald Trump expected to sign it soon. The move aims to end regulatory uncertainty and provide clear legal foundations for digital asset markets.
Atkins has openly backed Congress in defining the jurisdictional split between the Securities and Exchange Commission and the Commodity Futures Trading Commission, arguing that statutory clarity is essential for protecting investors and supporting institutional growth.
Supporters believe clear rules will replace enforcement-led interpretation and allow the sector to mature within established financial frameworks.
Progress is moving through Congress, with the Senate Banking Committee advancing the CLARITY Act while the Agriculture Committee continues negotiations. Despite disagreements and amendments, bipartisan support suggests the bill could reach the White House by the end of the first quarter.
Looking ahead, Atkins has linked the bill to long-term US competitiveness, stating that clear and principled regulation will encourage innovation and attract capital. Coordination between the SEC, CFTC and the White House is expected to be central to implementation.
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TSMC reported a strong fourth-quarter performance, posting a 35 percent rise in profit to a record level, supported by sustained demand for advanced chips.
The company forecast robust growth for 2026, citing continued customer interest and tight capacity, while highlighting expectations for a significant increase in revenue in the first quarter of the year.
The Taiwanese semiconductor manufacturer confirmed that capital spending reached US$40.9 billion in 2025, slightly above earlier guidance, and indicated further increases ahead, with investment potentially rising to as much as US$56 billion in 2026 and accelerating later in the decade.
Ongoing projects include additional manufacturing capacity in the US, expansion in Japan, and continued investment in Taiwan.
TSMC also signalled that more US facilities may be planned, following earlier commitments to large-scale investment in Arizona.
Developments come amid discussions between Taiwan and the US on trade and tariffs, as well as broader policy efforts in Washington to encourage domestic semiconductor production.
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AI is no longer confined to chatbots and content tools. In the food and beverage sector, companies are utilising advanced AI systems to forecast consumer trends, expedite product development, and explore new ingredients for future products.
Mars, the multinational behind brands such as Dolmio, Pedigree, and Mars bars, is using AI to support its health and sustainability goals. Darren Logan, vice president of research at the Mars Advanced Research Institute, said the company is exploring plant compounds and alternative proteins.
Fermentation is also expanding Mars’ ingredient research by generating new chemical compounds through interactions between plants and microbes. Logan said combining plants with microbes increases chemical diversity, producing substances that would not otherwise exist.
The chocolate manufacturer partnered with UC Davis spin-out PIPA and its AI research platform LEAP to support this work. The system constructs knowledge graphs utilising scientific literature, databases, and the company’s proprietary data to establish connections between ingredients, microbes, and human health.
Logan said the platform helps reduce the time and cost of experimentation by guiding researchers towards more promising test options. Human oversight remains central to every AI-assisted decision.
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European Commission Executive Vice President Teresa Ribera has stated that the EU has a constitutional obligation under its treaties to uphold its digital rulebook, including the Digital Markets Act (DMA).
Speaking at a competition law conference, Ribera framed enforcement as a duty to protect fair competition and market balance across the bloc.
Several designated gatekeepers have argued that the DMA restricts innovation and challenges existing business models.
Ribera acknowledged the right of companies to challenge enforcement through the courts, while emphasising that designation decisions are based on lengthy and open consultation processes. The Commission, she said, remains committed to applying the law effectively rather than retreating under external pressure.
Apple and Meta have already announced plans to appeal fines imposed in 2025 for alleged breaches of DMA obligations, reinforcing expectations that legal disputes around EU digital regulation will continue in parallel with enforcement efforts.
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The US Department of Defence plans to integrate Elon Musk’s AI tool Grok into Pentagon networks later in January, according to Defence Secretary Pete Hegseth.
The system is expected to operate across both classified and unclassified military environments as part of a broader push to expand AI capabilities.
Hegseth also outlined an AI acceleration strategy designed to increase experimentation, reduce administrative barriers and prioritise investment across defence technology.
An approach that aims to enhance access to data across federated IT systems, aligning with official views that military AI performance relies on data availability and interoperability.
The move follows earlier decisions by the Pentagon to adopt Google’s Gemini for an internal AI platform and to award large contracts to Anthropic, OpenAI, Google and xAI for agentic AI development.
Officials describe these efforts as part of a long-term strategy to strengthen US military competitiveness in AI.
Grok’s integration comes amid ongoing controversy, including criticism over generated imagery and previous incidents involving extremist and offensive content. Several governments and regulators have already taken action against the tool, adding scrutiny to its expanded role within defence systems.
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The US AI company, OpenAI, has acquired healthcare technology startup Torch only days after unveiling ChatGPT Health, signalling an accelerated push into medical and clinical applications.
Financial terms were not officially disclosed, although media reports estimate the transaction at between $60 million and $100 million.
Torch was developed as a unified medical memory platform, designed to consolidate patient data from hospitals, laboratories, wearable devices and consumer testing services.
The company positioned its technology as a means to support AI systems in navigating fragmented healthcare information, rather than relying on isolated data sources.
Torch’s four-person team will join OpenAI following the acquisition, reinforcing the company’s internal healthcare expertise. OpenAI has emphasised privacy, safety and collaboration with medical professionals as core principles guiding its expansion into sensitive data environments.
The move follows a broader strategy by OpenAI to strengthen enterprise offerings, particularly for large healthcare organisations. Recent hires and partnerships suggest healthcare remains a priority area as AI adoption increases across regulated sectors.
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Ant International has announced a partnership with Google to support the launch of the Universal Commerce Protocol, a new open standard designed to enable agent-driven commerce across discovery, purchasing and post-purchase support.
A collaboration that aims to simplify how AI agents, merchants and payment providers interact across platforms.
The protocol establishes a shared language that enables agents to collaborate seamlessly without requiring bespoke integrations, while remaining compatible with existing industry frameworks. Google says alignment on common standards is essential for agentic commerce to scale across sectors and markets.
AI interfaces such as the Gemini app and AI Mode in Google Search are expected to support native purchasing within conversations. Users expressing shopping intent will receive curated product options and complete payments through integrated wallet services without leaving the chat environment.
Ant International is contributing payment expertise, alternative payment methods and AI-based risk management to ensure traceable transactions and consumer trust.
The company states that secure intent verification and fraud protection are crucial as users entrust purchasing decisions to intelligent agents.
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Apple and Google have confirmed a multi-year partnership that will see Google’s Gemini models powering Siri and future Apple Intelligence features. The collaboration will underpin Apple’s next-generation AI models, with updates coming later this year.
The move follows delays in rolling out Siri upgrades first unveiled at WWDC 2024. While most Apple Intelligence features have already been launched, the redesigned Siri has been postponed due to development taking longer than anticipated.
According to reports, Apple will continue using its own models for specific tasks, while Gemini is expected to handle summarisation, planning, and other advanced functions.
Bloomberg reports the upcoming Siri will be structured around three layers: query planning, knowledge retrieval, and summarisation. Gemini will handle planning and summarisation, helping Siri structure responses and create clear summaries.
Knowledge retrieval may also benefit from Gemini, potentially broadening Siri’s general knowledge capabilities beyond its current hand-off system.
All AI processing will operate on Apple’s Private Cloud Compute platform, ensuring user privacy and keeping data secure. Analysts suggest this integration will embed Gemini more deeply into Siri’s core functionality, rather than serving as a supplementary tool.
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