Sustainable development

Labour market stability persists despite the rise of AI

Public fears of AI rapidly displacing workers have not yet materialised in the US labour market.

A new study finds that the overall occupational mix has shifted only slightly since the launch of generative AI in November 2022, with changes resembling past technological transitions such as the rise of computers and the internet.

The pace of disruption is not significantly faster than historical benchmarks.

Industry-level data show some variation, particularly in information services, finance, and professional sectors, but trends were already underway before AI tools became widely available.

Similarly, younger workers have not seen a dramatic divergence in opportunities compared with older graduates, suggesting that AI’s impact on early careers remains modest and difficult to isolate.

Exposure, automation, and augmentation metrics offer little evidence of widespread displacement. OpenAI’s exposure data and Anthropic’s usage data suggest stability in the proportion of workers most affected by AI, including those unemployed.

Even in roles theoretically vulnerable to automation, there has been no measurable increase in job losses.

The study concludes that AI’s labour effects are gradual rather than immediate. Historical precedent suggests that large-scale workforce disruption unfolds over decades, not months. Researchers plan to monitor the data to track whether AI’s influence becomes more visible over time.

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Diag2Diag brings fusion reactors closer to commercial viability

Researchers have developed an AI tool that could make fusion power more reliable and affordable. Diag2Diag reconstructs missing sensor data to give scientists a clearer view of plasma, helping address one of fusion energy’s biggest challenges.

Developed through a collaboration led by Princeton University and the US Department of Energy’s Princeton Plasma Physics Laboratory, Diag2Diag analyses multiple diagnostics in real time to generate synthetic, high-resolution data. It improves plasma control and cuts reliance on costly hardware.

A key use of Diag2Diag is improving the study of the plasma pedestal, the fuel’s outer layer. Current methods miss sudden changes or lack detail. The AI fills these gaps without new instruments, helping researchers fine-tune stability.

The system has also advanced research into edge-localised modes, or ELMs, which are bursts of energy that can damage reactor walls. It revealed how magnetic perturbations create ‘magnetic islands’ that flatten plasma temperature and density, supporting a leading theory on ELM suppression.

Although designed for fusion, Diag2Diag could also enhance reliability in fields such as spacecraft monitoring and robotic surgery. For fusion specifically, it supports smaller, cheaper, and more dependable reactors, bringing the prospect of clean, round-the-clock power closer to reality.

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Former Google CEO backs Antarctic drone venture

A reported investment by former Google CEO Eric Schmidt aims to deploy advanced drone systems to navigate Antarctic waters under extreme conditions. The project involves autonomous aerial and underwater drones tailored for polar environments.

Schmidt’s initiative would target the Southern Ocean’s carbon cycle, ice dynamics, and climate modelling. Designers intend drones to operate where traditional vessels cannot, gathering otherwise unreachable data to refine climate models.

Technologies under development reportedly include cold-resistant batteries, autonomous navigation systems, satellite or acoustic communications, and ice-penetrating radar for subsurface mapping. The designs emphasise minimal human intervention.

There is room for application beyond research, including maritime logistics in polar routes and environmental monitoring. If real, the investment could reshape the future of work on how scientists and explorers gather data in remote, hostile regions.

On the other hand, there are criticisms to exploring the area with technologies that could disturb the ecosystem and native species already under other threats. Therefore, careful consideration will have to be made of the ecological impact of this initiative.

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Mexico drafts law to regulate AI in dubbing and animation

The Mexican government is preparing a law to regulate the use of AI in dubbing, animation, and voiceovers to prevent unauthorised voice cloning and safeguard creative rights.

Working with the National Copyright Institute and more than 128 associations, it aims to reform copyright legislation before the end of the year.

The plan would strengthen protections for actors, voiceover artists, and creative workers, while addressing contract conditions and establishing a ‘Made in Mexico’ seal for cultural industries.

A bill that is expected to prohibit synthetic dubbing without consent, impose penalties for misuse, and recognise voice and image as biometric data.

Industry voices warn that AI has already disrupted work opportunities. Several dubbing firms in Los Angeles have closed, with their projects taken over by companies specialising in AI-driven dubbing.

Startups such as Deepdub and TrueSync have advanced the technology, dubbing films and television content across languages at scale.

Unions and creative groups argue that regulation is vital to protect both jobs and culture. While AI offers efficiency in translation and production, it cannot yet replicate the emotional depth of human performance.

The law is seen as the first attempt of Mexico to balance technological innovation with the rights of workers and creators.

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Lincoln Lab launches most powerful AI supercomputer at US university

Lincoln Laboratory has unveiled TX-GAIN, the most powerful AI supercomputer at any US university. Optimised for generative AI, the system ranks on the TOP500 list and significantly boosts research across the MIT campus.

Equipped with more than 600 NVIDIA GPU accelerators, TX-GAIN delivers two AI exaflops of peak performance. Researchers are using it to advance biodefence, protein modelling, weather analysis, network security, and new materials development.

Generative AI applications go beyond large language models, with teams at Lincoln Laboratory exploring radar evaluation, chemical interactions, and anomaly detection in digital systems. The laboratory’s design lets researchers access vast computing power without needing expertise in parallel programming.

TX-GAIN is also supporting collaborations with MIT institutions and the US military, including projects in quantum engineering, space operations, and AI-driven flight scheduling. The system in an energy-efficient Massachusetts facility continues the lab’s supercomputing tradition.

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Atlantic Quantum joins Google Quantum AI to advance scalable quantum hardware

Google Quantum AI has taken a major step in its pursuit of error-corrected quantum computing by integrating Atlantic Quantum, an MIT spin-out focused on superconducting hardware.

The move, while not formally labelled an acquisition, effectively brings the startup’s technology and talent into Google’s programme, strengthening its roadmap toward scalable quantum systems.

Atlantic Quantum, founded in 2021, has worked on integrating qubits with superconducting control electronics in the same cold stage.

A modular chip stack that promises to simplify design, reduce noise, and make scaling more efficient. Everything is equally important to build machines capable of solving problems beyond the reach of classical computers.

Google’s Hartmut Neven highlighted the approach as a way to accelerate progress toward large, fault-tolerant devices.

The startup’s journey, from MIT research labs to Google integration, has been rapid and marked by what CEO Bharath Kannan called ‘managed chaos’.

The founding team and investors were credited with pushing superconducting design forward despite the immense challenges of commercialising such cutting-edge technology.

Beyond hardware, Google gains a strong pool of engineers and researchers, enhancing its competitive edge in a field where rivals include IBM and several well-funded scale-ups.

A move that reflects a broader industry trend where research-heavy startups are increasingly folded into major technology firms to advance long-term quantum ambitions. With governments and corporations pouring resources into the race, consolidation is becoming common.

For Atlantic Quantum, joining Google ensures both technological momentum and access to resources needed for the next phase. As co-founder Simon Gustavsson put it, the work ‘does not stop here’ but continues within Google Quantum AI’s effort to deliver real-world quantum applications.

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Comet AI browser is now free as Perplexity launches Comet Plus service

Perplexity has made its Comet AI browser available to everyone for free, widening access beyond its paid user base. The browser, launched three months ago for Max subscribers, introduces new tools designed to turn web browsing into an AI-driven task assistant.

The company describes Comet as a ‘browser for agentic search’, referring to autonomous software agents capable of handling multi-step tasks for users.

Free users can access the sidecar assistant alongside tools for shopping comparisons, travel planning, budgeting, sports updates, project management, and personalised recommendations.

Max subscribers gain early access to more advanced features, including a background assistant likened to a personal mission control dashboard. The tool can draft emails, book tickets, find flights, and integrate with apps on a user’s computer, running tasks in the background with minimal intervention.

Pro users also retain access to advanced AI models and media generation tools.

Perplexity is further introducing Comet Plus, a $5-per-month standalone subscription service that acts as an AI-powered alternative to Apple News. Current Pro and Max subscribers will receive the service automatically.

The move signals Perplexity’s ambition to expand its ecosystem while balancing free accessibility with premium AI features.

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Meta faces fines in Netherlands over algorithm-first timelines

A Dutch court has ordered Meta to give Facebook and Instagram users in the Netherlands the right to set a chronological feed as their default.

The ruling follows a case brought by digital rights group Bits of Freedom, which argued that Meta’s design undermines user autonomy under the European Digital Services Act.

Although a chronological feed is already available, it is hidden and cannot be permanent. The court said Meta must make the settings accessible on the homepage and Reels section and ensure they stay in place when the apps are restarted.

If Meta does not comply within two weeks, it faces a fine of €100,000 per day, capped at €5 million.

Bits of Freedom argued that algorithmic feeds threaten democracy, particularly before elections. The court agreed the change must apply permanently rather than temporarily during campaigns.

The group welcomed the ruling but stressed it was only a small step in tackling the influence of tech giants on public debate.

Meta has not yet responded to the decision, which applies only in the Netherlands despite being based on EU law. Campaigners say the case highlights the need for more vigorous enforcement to ensure digital platforms respect user choice and democratic values.

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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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