Capacity development

Global survey reveals slow AI adoption across the construction industry

RICS has published its 2025 report on AI in Construction, offering a global snapshot of how the built-environment sector views AI integration. The findings draw on over 2,200 survey responses from professionals across geography and disciplines.

The report finds that AI adoption remains limited: 45 percent of organisations report no AI use, and just under 12 percent say AI is used regularly in specific workflows. Fewer than 1 percent have AI embedded across multiple processes.

Preparedness is also low. While some firms are exploring AI, most have yet to move beyond early discussions. Only about 20 percent are engaged in strategic planning or proof-of-concept pilots, and very few have budgeted implementation roadmaps.

Despite this, confidence in AI is strong. Professionals see the most significant potential in progress monitoring, scheduling, resource optimisation, contract review and risk management. Over the next five years, many expect the most critical impact in design optioneering, where AI could help evaluate multiple alternatives in early project phases.

The survey also flags key barriers: lack of skilled personnel (46 percent), integration with existing systems (37 percent), data quality and availability (30 percent), and high implementation costs (29 percent).

To overcome these challenges, RICS recommends a coordinated roadmap with leadership from industry, government support, ethical guardrails, workforce upskilling, shared data standards and transparent pilot projects.

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Germany invests €1.6 billion in AI but profits remain uncertain

In 2025 alone, €1.6 billion is being committed to AI in Germany as part of its AI action plan.

The budget, managed by the Federal Ministry of Research, Technology and Space, has grown more than twentyfold since 2017, underlining Berlin’s ambition to position the country as a European hub for AI.

However, experts warn that the financial returns remain uncertain. Rainer Rehak of the Weizenbaum Institute argues that AI lacks a clear business model, calling the current trend an ‘investment game’ fuelled by speculation.

He cautioned that if real profits do not materialise, the sector could face a bubble similar to past technology hype cycles. Even OpenAI chief Sam Altman has warned of unsustainable levels of investment in AI.

Germany faces significant challenges in computing capacity. A study by the eco Internet Industry Association found that the country’s infrastructure may only expand to 3.7 gigawatts by 2030, while demand from industry could exceed 12 gigawatts.

Deloitte forecasts a capacity gap of around 50% within five years, with the US already maintaining more than twenty times Germany’s capacity. Without massive new investments in data centres, Germany risks lagging further behind.

Some analysts believe the country needs a different approach. Professor Oliver Thomas of Osnabrück University argues that while large-scale AI models are struggling to find profitability, small and medium-sized enterprises could unlock practical applications.

He advocates for speeding up the cycle from research to commercialisation, ensuring that AI is integrated into industry more quickly.

Germany has a history of pioneering research in fields such as computer technology, MP3, and virtual and augmented reality, but much of the innovation was commercialised abroad.

Thomas suggests focusing less on ‘made in Germany’ AI models and more on leveraging existing technologies from global providers, while maintaining digital sovereignty through strong policy frameworks.

Looking ahead, experts see AI becoming deeply integrated into the workplace. AI assistants may soon handle administrative workflows, organise communications, and support knowledge-intensive professions.

Small teams equipped with these tools could generate millions in revenue, reshaping the country’s economic landscape.

Germany’s heavy spending signals a long-term bet on AI. But with questions about profitability, computing capacity, and competition from the US, the path forward will depend on whether investments can translate into sustainable business models and practical use cases across the economy.

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Grok controversies shadow Musk’s new Grokipedia project

Elon Musk has announced that his company xAI is developing Grokipedia, a planned Wikipedia rival powered by its Grok AI chatbot. He described the project as a step towards achieving xAI’s mission of understanding the universe.

In a post on X, Musk called Grokipedia a ‘necessary improvement over Wikipedia,’ renewing his criticism of the platform’s funding model and what he views as ideological bias. He has long accused Wikimedia of leaning left and reflecting ‘woke’ influence.

Despite Musk’s efforts to position Grok as a solution to bias, the chatbot has occasionally turned on its creator. Earlier this year, it named Musk among the people doing the most harm to the US, alongside Donald Trump and Vice President JD Vance.

The Grok 4 update also drew controversy when users reported that the chatbot praised and adopted the surname of a controversial historical figure in its responses, sparking criticism of its safety. Such incidents raised questions about the limits of Musk’s oversight.

Grok is already integrated into X as a conversational assistant, providing context and explanations in real time. Musk has said it will power the platform’s recommendation algorithm by late 2025, allowing users to customise their feeds dynamically through direct requests.

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Europe urged to seize AI opportunity through action

Europe faces a pivotal moment to lead in AI, potentially boosting GDP by over €1.2 trillion, according to Google’s Kent Walker. Urgent action is needed to close the gap between ambition and implementation.

Complex EU regulations, with over 100 new digital rules since 2019, hinder businesses, costing an estimated €124 billion annually. Simplifying these, as suggested by Mario Draghi’s report, could unlock €450 billion in AI-driven growth.

Focused, balanced policies must prioritise real-world AI impacts without stifling progress.

Skilling Europe’s workforce is crucial for AI adoption, with only 14% of EU firms using generative AI compared to 83% in China. Google’s initiatives, like its €15 million AI Opportunity Fund, support digital training. Public-private partnerships can scale these efforts, creating new job categories.

Scaling AI demands secure, dependable tools and ongoing momentum. Google’s AlphaFold and GNoME fuel advances in biology and materials science, while partnerships with European companies safeguard data sovereignty. Joint efforts will help Europe lead globally in AI.

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Portugal to bring AI into bureaucracy to save time

The Portuguese government is preparing to bring AI into public administration to accelerate licensing procedures and cut delays, according to State Reform Minister Gonçalo Matias.

Speaking at a World Tourism Day conference in Tróia, he said AI can play a key role in streamlining decision-making while maintaining human oversight at the final stage.

Matias explained that the reform will reallocate staff from routine tasks to work of higher value, while introducing a system of prior notifications.

Under the plan, citizens and businesses in Portugal will be allowed to begin most activities without a licence, with tacit approval granted if the administration fails to respond within set deadlines.

The minister said the reforms will be tied to strict accountability measures, emphasising a ‘trust contract’ between citizens, businesses and the public administration. He argued the initiative will not only speed up processes but also foster greater efficiency and responsibility across government services.

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Samsung joins OpenAI for AI data centre push

Samsung Electronics, alongside OpenAI, has signed a letter of intent to collaborate on AI data centre infrastructure. The partnership leverages Samsung’s expertise in semiconductors, cloud services, and shipbuilding. Combining these strengths aims to accelerate advancements in global AI technology.

Samsung Electronics will provide energy-efficient DRAM for OpenAI’s Stargate, meeting a projected demand of 900,000 wafers monthly. Advanced chip packaging and heterogeneous integration further enhance Samsung’s ability to deliver tailored semiconductor solutions for AI workflows.

Samsung SDS will design and operate Stargate AI data centres while offering enterprise AI services, including ChatGPT integration for Korean businesses. Meanwhile, Samsung C&T and Samsung Heavy Industries will explore floating data centres to address land scarcity and reduce emissions.

Signed in Seoul, the agreement positions Samsung to support Korea’s ambition to rank among the top three AI nations globally. Broader adoption of ChatGPT within Samsung’s operations will also drive workplace AI transformation.

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Gate Group secures MiCA license in Malta

Gate Group’s Malta-based subsidiary, Gate Technology Ltd, has secured a MiCA license from the Malta Financial Services Authority. The license authorises crypto asset trading and custody services.

Founder Dr. Han underscored compliance as central to operations, praising Malta’s progressive regulatory framework. The move aligns with Gate Group’s focus on transparency and user safety across Europe.

Securing the MiCA license enables Gate Europe to initiate EU passporting for broader regional expansion. CEO Giovanni Cunti outlined plans to strengthen compliance while offering secure, professional services.

Gate Group holds regulatory approvals in jurisdictions like Italy, Hong Kong, and Dubai. Malta’s transparent regulations and innovative environment make it an ideal European base. The company seeks to foster sustainable growth in the region’s crypto ecosystem.

Establishing a foothold in Malta positions Gate Group to leverage the country’s role as a crypto hub. Continued investment will support the local digital economy, ensuring long-term development and regulatory adherence in Europe’s crypto market.

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Microsoft boosts productivity with AI-powered subscriptions

Microsoft has enhanced its Microsoft 365 subscriptions by deeply integrating Copilot, its AI assistant, into apps like Word, Excel, and Outlook. A new Microsoft 365 Premium plan, priced at £19.99 monthly, combines advanced AI features with productivity tools.

The plan targets professionals, entrepreneurs, and families seeking to streamline tasks efficiently.

Microsoft 365 Personal and Family subscribers gain higher usage limits for Copilot features like image generation and deep research at no extra cost. Copilot Chat, now available across these apps, assists with drafting, analysis, and automation.

These updates aim to embed AI seamlessly into daily workflows. Samsung Electronics will provide energy-efficient DRAM for OpenAI’s Stargate, meeting a projected demand of 900,000 wafers monthly.

Meanwhile, Microsoft’s Frontier programme offers subscribers access to experimental AI tools, such as Office Agent, enhancing productivity. A global student offer provides free Microsoft 365 Personal for a year.

Fresh icons for Word, Excel, and other apps highlight Microsoft’s AI-driven evolution. Secure workplace AI use, backed by enterprise data protection, ensures compliance and safety. These innovations establish Microsoft 365 as a leader in AI-powered productivity.

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AI tool detects tiny brain lesions, offering hope of epilepsy cure

Australian researchers have developed an AI tool that can identify tiny brain lesions in children with epilepsy, a breakthrough they say could enable faster diagnoses and pave the way for potential cures.

Scientists from the Murdoch Children’s Research Institute and The Royal Children’s Hospital designed the ‘AI epilepsy detective’ to detect lesions as small as a blueberry in up to 94 percent of cases. These cortical dysplasias are often invisible to doctors reviewing MRI scans, with around 80 percent of cases previously missed during human examination.

In a study published in Epilepsia, the team tested the tool on 71 children and 23 adults with focal epilepsy. Seventeen children were part of the test group, and 12 underwent surgery after the lesions were identified using the AI. Eleven are now seizure-free.

Lead researcher Dr Emma Macdonald-Laurs said earlier lesion identification can speed surgery referrals and improve outcomes. ‘Identifying the cause early lets us tailor treatment options and helps neurosurgeons plan and navigate surgery,’ she explained. ‘More accurate imaging allows neurosurgeons to develop a safer surgical roadmap and avoid removing healthy brain tissue.’

Brain lesions are one of the most common causes of drug-resistant seizures, yet they can be challenging to detect using conventional imaging techniques. The researchers now hope to expand the use of their AI tool across paediatric hospitals in Australia with additional funding.

One child, five-year-old Royal, experienced frequent seizures before doctors using the tool identified and removed the lesion responsible. His mother said he is seizure-free and has returned to his ‘calm, friendly, and patient’ self.

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Liverpool scientists develop low-cost AI blood test for Alzheimer’s

Scientists at the University of Liverpool have developed a low-cost blood test that could enable earlier detection of Alzheimer’s disease. The handheld devices, powered by AI and equipped with polymer-based biosensors, deliver results with accuracy comparable to hospital tests at a fraction of the cost.

Alzheimer’s affects more than 55 million people worldwide and remains the most common cause of dementia. Existing hospital tests are accurate but expensive and inaccessible in many clinics, delaying diagnosis and treatment, particularly in low- and middle-income countries.

One study utilised plastic antibodies on a porous gold surface to detect p-tau181, matching high-end laboratory methods. Another built a circuit-board device with a chemical coating that distinguished healthy from patient samples at a lower cost.

The platform is linked to a low-cost reader and a web app that utilises AI for instant analysis. Lead researcher Dr Sanjiv Sharma said the aim was to make Alzheimer’s testing ‘as accessible as checking blood pressure or blood sugar.’

The World Health Organisation has called for decentralised brain disease diagnostics. Researchers say these technologies bring that vision closer to reality, offering hope for earlier treatment and better care.

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