Future of work

IBM advances quantum computing understanding with new project

IBM has introduced two new quantum processors, named ‘Nighthawk’ and ‘Loon’, aimed at major leaps in quantum computing. The Nighthawk chip features 120 qubits and 218 tunable couplers, enabling circuits with approximately 30% greater complexity than previous models.

The Loon processor is designed as a testbed for fault-tolerant quantum computing, implementing key hardware components, including six-way qubit connectivity and long-range couplers. These advances mark a strategic shift by IBM to scale quantum systems beyond experimental prototypes.

IBM has also upgraded its fabrication process by shifting to 300 mm wafers at its Albany NanoTech facility, which has doubled development speed and boosted physical chip complexity tenfold.

Looking ahead, IBM projects the initial delivery of Nighthawk by the end of 2025 and aims to achieve verified quantum advantage by the end of 2026, with fully fault-tolerant quantum systems targeted by 2029.

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Google commits 40 billion dollars to expand Texas AI infrastructure

Google will pour 40 billion dollars into Texas by 2027, expanding digital infrastructure. Funding focuses on new cloud and AI facilities alongside existing campuses in Midlothian and Dallas.

Three new US data centres are planned, one in Armstrong County and two in Haskell County. One Haskell site will sit beside a solar plant and battery storage facility. Investment is accompanied by agreements for more than 6,200 megawatts of additional power generation.

Google will create a 30 million dollar Energy Impact Fund supporting Texan energy efficiency and affordability projects. The company backs training for existing electricians and over 1,700 apprentices through electrical training programmes.

Spending strengthens Texas as a major hub for data centres and AI development. Google says expanded infrastructure and workforce will help maintain US leadership in advanced computing technologies. Company highlights its 15 year presence in Texas and pledges ongoing community support.

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New blueprint ensures fair AI in democratic processes

A rights-centred AI blueprint highlights the growing use of AI in analysing citizen submissions during public participation, promising efficiency but raising questions about fairness, transparency and human rights. Experts caution that poorly designed AI could silence minority voices, deepen inequalities and weaken trust in democratic decision-making.

The European Centre for Not-for-Profit Law (ECNL) provides detailed guidance for governments, civil society organisations and technology developers on how to implement AI responsibly. Recommendations include conducting human rights impact assessments, involving marginalised communities from the design stage, testing AI accuracy across demographics, and ensuring meaningful human oversight at every stage.

Transparency and accountability are key pillars of the framework, providing guidance on publishing assessments, documenting AI decision-making processes, and mitigating bias. Experts stress that efficiency gains should never come at the expense of inclusiveness, and that AI tools must be monitored and updated continually to reflect community feedback and rights considerations.

The blueprint also emphasises collaboration and sustainability, urging multistakeholder governance, civil society co-design, and ongoing training for public servants and developers. By prioritising rights, transparency and community engagement, AI in public participation can enhance citizen voices rather than undermining them, but only if implemented deliberately and inclusively.

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AI Scientist Kosmos links every conclusion to code and citations

OpenAI chief Sam Altman has praised Future House’s new AI Scientist, Kosmos, calling it an exciting step toward automated discovery. The platform upgrades the earlier Robin system and is now operated by Edison Scientific, which plans a commercial tier alongside free access for academics.

Kosmos addresses a key limitation in traditional models: the inability to track long reasoning chains while processing scientific literature at scale. It uses structured world models to stay focused on a single research goal across tens of millions of tokens and hundreds of agent runs.

A single Kosmos run can analyse around 1,500 papers and more than 40,000 lines of code, with early users estimating that this replaces roughly six months of human work. Internal tests found that almost 80 per cent of its conclusions were correct.

Future House reported seven discoveries made during testing, including three that matched known results and four new hypotheses spanning genetics, ageing, and disease. Edison says several are now being validated in wet lab studies, reinforcing the system’s scientific utility.

Kosmos emphasises traceability, linking every conclusion to specific code or source passages to avoid black-box outputs. It is priced at $200 per run, with early pricing guarantees and free credits for academics, though multiple runs may still be required for complex questions.

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Digital accessibility drives revenue as AI adoption rises

Research highlights that digital accessibility is now viewed as a driver of business growth rather than a compliance requirement.

A survey of over 1,600 professionals across the US, UK, and Europe found 75% of organisations linking accessibility improvements to revenue gains, while 91% reported enhanced user experience and 88% noted brand reputation benefits.

AI is playing an increasingly central role in accessibility initiatives. More than 80% of organisations now use AI tools to support accessibility, particularly in mature programmes with formal policies, accountability structures, and dedicated budgets.

Leaders in these organisations view AI as a force multiplier, complementing human expertise rather than replacing it. Despite progress, many organisations still implement accessibility late in digital development processes. Only around 28% address accessibility during planning, and 27% during design stages.

Leadership support and effective training emerged as key success factors. Organisations with engaged executives and strong accessibility training were far more likely to achieve revenue and operational benefits while reducing perceived legal risk.

As AI adoption accelerates and regulatory frameworks expand, companies treating accessibility strategically are better positioned to gain competitive advantage.

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New funding round by Meta strengthens local STEAM education

Meta is inviting applications for its 2026 Data Centre Community Action Grants, which support schools, nonprofits and local groups in regions that host the company’s data centres.

The programme has been a core part of Meta’s community investment strategy since 2011, and the latest round expands support to seven additional areas linked to new facilities. The company views the grants as a means of strengthening long-term community vitality, rather than focusing solely on infrastructure growth.

Funding is aimed at projects that use technology for public benefit and improve opportunities in science, technology, engineering, arts and mathematics. More than $ 74 million has been awarded to communities worldwide, with $ 24 million distributed through the grant programme alone.

Recipients can reapply each year, which enables organisations to sustain programmes and increase their impact over time.

Several regions have already demonstrated how the funding can reshape local learning opportunities. Northern Illinois University used grants to expand engineering camps for younger students and to open a STEAM studio that supports after-school programmes and workforce development.

In New Mexico, a middle school used funding to build a STEM centre with advanced tools such as drones, coding kits and 3D printing equipment. In Texas, an enrichment organisation created a digital media and STEM camp for at-risk youth, offering skills that can encourage empowerment instead of disengagement.

Meta presents the programme as part of a broader pledge to deepen education and community involvement around emerging technologies.

The company argues that long-term support for digital learning will strengthen local resilience and create opportunities for young people who want to pursue future careers in technology.

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Digital twin technology drives new era in predictive medicine

A new AI model capable of generating digital twins of patients is being hailed as a significant step forward for clinical research. Developed at the University of Melbourne, the system reviews health records to predict how a patient’s condition may change during treatment.

DT-GPT, the model in question, was trained on thousands of records covering Alzheimer’s disease, non-small cell lung cancer, and intensive care admissions. Researchers stated that the model accurately predicted shifts in key clinical indicators, utilising medical literature and patient histories.

Predictions were validated without giving DT-GPT access to actual outcomes, strengthening confidence in its performance.

Lead researcher Associate Professor Michael Menden said the tool not only replicated patient profiles but also outperformed fourteen advanced machine-learning systems.

The ability to simulate clinical trial outcomes could lower costs and accelerate drug development, while enabling clinicians to anticipate deterioration and tailor treatment plans more effectively.

Researchers also noted that DT-GPT’s zero-shot ability to predict medical values it had never been trained on. The team has formed a company with the Royal Melbourne Women’s Hospital to apply the technology to patients with endometriosis, demonstrating wider potential in healthcare.

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Most workers see AI risk but not for themselves

A new survey by YouGov and Udemy reveals that while workers across the US, UK, India and Brazil see AI as a significant economic force, many believe their own jobs are unlikely to be affected.

Over 4,500 adults were polled, highlighting a clear gap between concern for the broader economy and personal job security.

In the UK, 70% of respondents expressed concern about AI’s impact on the economy, but only 39% worried about its effects on their own occupation.

Similarly, in the US, 72% feared wider economic effects, while 47% concerned about personal job loss. Experts suggest this reflects a psychological blind spot similar to early reactions to the internet.

The survey also highlighted a perceived AI skills gap, particularly in the UK, where 55% of workers had received no AI training. Many employees acknowledged awareness of AI’s rise but lacked motivation to develop skills immediately, a phenomenon researchers describe as an ‘awareness action gap’.

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Salesforce unveils eVerse for dependable enterprise AI

The US cloud-based software company, Salesforce and its Research AI department, have unveiled eVerse, a new environment designed to train voice and text agents through synthetic data generation, stress testing and reinforcement learning.

In an aim to resolve a growing reliability problem known as jagged intelligence, where systems excel at complex reasoning yet falter during simple interactions.

The company views eVerse as a key requirement for creating an Agentic Enterprise, where human staff and digital agents work together smoothly and dependably.

eVerse supports continuous improvement by generating large volumes of simulated interactions, measuring performance and adjusting behaviour over time, rather than waiting for real-world failures.

A platform that played a significant role in the development of Agentforce Voice, giving AI agents the capacity to cope with unpredictable calls involving noise, varied accents and weak connections.

Thousands of simulated conversations enabled teams to identify problems early and deliver stronger performance.

The technology is also being tested with UCSF Health, where clinical experts are working with Salesforce to refine agents that support billing services. Only a portion of healthcare queries can typically be handled automatically, as much of the knowledge remains undocumented.

eVerse enhances coverage by enabling agents to adapt to complex cases through reinforcement learning, thereby improving performance across both routine and sophisticated tasks.

Salesforce describes eVerse as a milestone in a broader effort to achieve Enterprise General Intelligence. The goal is a form of AI designed for dependable business use, instead of the more creative outputs that dominate consumer systems.

It also argues that trust and consistency will shape the next stage of enterprise adoption and that real-world complexity must be mirrored during development to guarantee reliable deployment.

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Meta pushes deeper into robotics with key hardware move

Meta is expanding its robotics ambitions by appointing Li-Chen Miller, previously head of its smart glasses portfolio, as the first product manager for Reality Labs’ robotics division. Her transfer marks a significant shift in Meta’s hardware priorities following the launch of its latest augmented reality devices.

The company is reportedly developing a humanoid assistant known internally as Metabot within the same organisation that oversees its AR and VR platforms. Former Cruise executive Marc Whitten leads the robotics group, supported by veteran engineer Ning Li and renowned MIT roboticist Sangbae Kim.

Miller’s move emphasises Meta’s aim to merge its AI expertise with physical robotics. The new team collaborates with the firm’s Superintelligence Lab, which is building a ‘world model’ capable of powering dextrous motion and real-time reasoning.

Analysts see the strategy as Meta’s attempt to future-proof its ecosystem and diversify Reality Labs, which continues to post heavy losses. The company’s growing investment in humanoid design could bring home-use robots closer to reality, blending social AI with the firm’s long-term vision for the metaverse.

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