ai

Tech firms push longer working hours to compete in AI race

Tech companies competing in AI are increasingly expecting employees to work longer weeks to keep pace with rapid innovation. Some start-ups openly promote 70-hour schedules, presenting intense effort as necessary to launch products faster and stay ahead of rivals.

Investors and founders often believe that extended working hours improve development speed and increase the chances of securing funding. Fast growth and fierce global competition have made urgency a defining feature of many AI workplaces.

However, research shows productivity rises only up to a limit before fatigue reduces efficiency and focus. Experts warn that excessive workloads can lead to burnout and make it harder for companies to retain experienced professionals.

Health specialists link extended working weeks to higher risks of heart disease and stroke. Many experts argue that smarter management and efficient use of technology offer safer and more effective paths to lasting productivity.

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AI in education reveals a critical evidence gap

Universities are increasingly reorganising around AI, treating AI-based instruction as a proven solution for delivering education more efficiently. This shift reflects a broader belief that AI can reliably replace or reduce human-led teaching, despite growing uncertainty about its actual impact on learning.

Recent research challenges this assumption by re-examining the evidence used to justify AI-driven reforms. A comprehensive re-analysis of AI and learning studies reveals severe publication bias, with positive results published far more frequently than negative or null findings. Once corrected, reported learning gains from AI shrink substantially and may be negligible.

More critically, the research exposes deep inconsistency across studies. Outcomes vary so widely that the evidence cannot predict whether AI will help or harm learning in a given context, and no educational level, discipline, or AI application shows consistent benefits.

By contrast, human-mediated teaching remains a well-established foundation of learning. Decades of research demonstrate that understanding develops through interaction, adaptation, and shared meaning-making, leading the article to conclude that AI in education remains an open question, while human instruction remains the known constant.

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When grief meets AI

AI is now being used to create ‘deathbots’, chatbots designed to mimic people after they die using their messages and voice recordings. The technology is part of a growing digital afterlife industry, with some people using it to maintain a sense of connection with loved ones who have passed away.

Researchers at Cardiff University studied how these systems recreate personalities using digital data such as texts, emails, and audio recordings. The findings described the experience as both fascinating and unsettling, raising questions about memory, identity, and emotional impact.

Tests showed current deathbots often fail to accurately reproduce voices or personalities due to technical limitations. Researchers warned that these systems rely on simplified versions of people, which may distort memories rather than preserve them authentically.

Experts believe the technology could improve, but remain uncertain whether it will become widely accepted. Concerns remain about emotional consequences and whether digital versions could alter how people remember those who have died.

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Pakistan pledges major investment in AI by 2030

Pakistan plans to invest $1 billion in AI by 2030, Prime Minister Shehbaz Sharif said at the opening of Indus AI Week in Islamabad. The pledge aims to build a national AI ecosystem in Pakistan.

The government in Pakistan said AI education would expand to schools and universities, including remote regions. Islamabad also plans 1,000 fully funded PhD scholarships in AI to strengthen research capacity in Pakistan.

Shehbaz Sharif said Pakistan would train one million non IT professionals in AI skills by 2030. Islamabad identified agriculture, mining and industry as priority sectors for AI driven productivity gains in Pakistan.

Pakistan approved a National AI Policy in 2025, although implementation has moved slowly. Officials in Islamabad said Indus AI Week marks an early step towards broader adoption of AI across Pakistan.

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Singtel opens largest AI ready data centre in Singapore

Singtel’s data centre arm Nxera has opened its largest data centre in Singapore at Tuas. The facility strengthens Singapore’s role as a regional hub for AI infrastructure.

The Tuas site in Singapore offers 58MW of AI-ready capacity and is described as the country’s highest- power-density data centre. More than 90 per cent of Singapore’s capacity was committed before the official launch.

Nxera said the Singapore facility is hyperconnected through direct access to international and domestic networks. Singapore gains lower latency and improved reliability from integration with a cable landing station.

Singtel said the Tuas development supports rising demand in Singapore for AI, cloud and high performance computing. Nxera plans further expansion in Asia while reinforcing Singapore’s position in digital infrastructure.

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Educators turn to AI despite platform fatigue

Educators in the US are increasingly using AI to address resource shortages, despite growing frustration with fragmented digital platforms. A new survey highlights rising dependence on AI tools across schools and universities in the US.

The study found many educators in the US juggle numerous digital systems that fail to integrate smoothly. Respondents said constant switching between platforms adds to workload pressures and burnout in the US education sector.

AI use in the US is focused on boosting productivity, with educators applying tools to research, writing and administrative tasks. Many also use AI to support student learning as budgets tighten in the US.

Concerns remain in the US around data security, ethics and system overload. Educators said better integration between AI and learning tools could ease strain and improve outcomes in the US classroom.

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New York weighs pause on data centre expansion

Lawmakers in New York have introduced a bill proposing a three year pause on permits for new data centres. Supporters say rapid expansion linked to AI infrastructure risks straining energy systems in New York.

Concerns in New York focus on rising electricity demand and higher household bills as tech companies scale AI operations. Critics across the US argue local communities bear the cost of supporting large scale computing facilities.

The New York proposal has drawn backing from environmental groups and politicians in the US who want time to set stricter rules. US senator Bernie Sanders has also called for a nationwide halt on new data centres.

Officials in New York say the pause would allow stronger policies on grid access and fair cost sharing. The debate reflects wider US tension between economic growth driven by AI and environmental limits.

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Super Bowl 2026 ads embrace the AI power

AI dominated the 2026 Super Bowl advertising landscape as brands relied on advanced models instead of traditional high-budget productions.

Many spots showcased AI as both the creative engine behind the visuals and the featured product, signalling a shift toward technology-centred storytelling during the most expensive broadcast event of the year.

Svedka pursued a provocative strategy by presenting a largely AI-generated commercial starring its robot pair, a choice that reignited arguments over whether generative tools could displace human creatives.

Anthropic went in a different direction by using humour to mock OpenAI’s plan to introduce advertisements to ChatGPT, a jab that led to a pointed response from Sam Altman and fuelled an online dispute.

Meta, Amazon and Google used their airtime to promote their latest consumer offerings, with Meta focusing on AI-assisted glasses for extreme activities and Amazon unveiling Alexa+, framed through a satirical performance by Chris Hemsworth about fears of malfunctioning assistants.

Google leaned toward practical design applications instead of spectacle, demonstrating its Nano Banana Pro system transforming bare rooms into personalised images.

Other companies emphasised service automation, from Ring’s AI tool for locating missing pets to Ramp, Rippling and Wix, which showcased platforms designed to ease administrative work and simplify creative tasks.

Hims & Hers adopted a more social approach by highlighting the unequal nature of healthcare access and promoting its AI-driven MedMatch feature.

The variety of tones across the adverts underscored how brands increasingly depend on AI to stand out, either through spectacle or through commentary on the technology’s expanding cultural power.

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Study shows AI-enabled digital stethoscope boosts cardiac screening accuracy

Researchers have found that an AI-enabled digital stethoscope significantly improves the detection of moderate-to-severe valvular heart disease in primary care compared with traditional auscultation. The prospective study was published in the European Heart Journal Digital Health.

In the trial, the AI-assisted device achieved a sensitivity of 92.3 percent for audible valvular disease, more than double the 46.2 percent recorded using standard stethoscopes. The system identified twice as many previously undiagnosed moderate-to-severe cases.

The study involved 357 patients aged 50 and over with cardiovascular risk factors and no known valvular disease. Participants underwent routine clinician examination, along with AI-supported phonocardiogram analysis, with echocardiography used for confirmation.

While specificity was lower for the AI tool, researchers said the technology is intended to support screening rather than replace clinical judgement. Earlier identification could enable faster referral for echocardiography and treatment.

Authors cautioned that increased false positives may raise referral volumes and healthcare costs, highlighting the need for further evaluation. Despite limitations, the findings suggest AI augmentation could strengthen early cardiac screening in primary care settings.

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How early internet choices shaped today’s AI

Two decisions taken on the same day in February 1996 continue to shape how the internet, and now AI, is governed today. That is the central argument of Jovan Kurbalija’s blog ‘Thirty years of Original Sin of digital and AI governance,’ which traces how early legal and ideological choices created a lasting gap between technological power and public accountability.

The first moment unfolded in Davos, where John Perry Barlow published his Declaration of the Independence of Cyberspace, portraying the internet as a realm beyond the reach of governments and existing laws. According to Kurbalija, this vision helped popularise the idea that digital space was fundamentally separate from the physical world, a powerful narrative that encouraged the belief that technology should evolve faster than, and largely outside of, politics and law.

In reality, the blog argues, there is no such thing as a stateless cyberspace. Every online action relies on physical infrastructure, data centres, and networks that exist within national jurisdictions. Treating the internet as a lawless domain, Kurbalija suggests, was less a triumph of freedom than a misconception that sidelined long-standing legal and ethical traditions.

The second event happened the same day in Washington, D.C., when the United States enacted the Communications Decency Act. Hidden within it was Section 230, a provision that granted internet platforms broad immunity from liability for the content they host. While originally designed to protect a young industry, this legal shield remains in place even as technology companies have grown into trillion-dollar corporations.

Kurbalija notes that the myth of a separate cyberspace and the legal immunity of platforms reinforced each other. The idea of a ‘new world’ helped justify why old legal principles should not apply, despite early warnings, including from US judge Frank Easterbrook, that existing laws were sufficient to regulate new technologies by focusing on human relationships rather than technical tools.

Today, this unresolved legacy has expanded into the realm of AI. AI companies, the blog argues, benefit from the same logic of non-liability, even as their systems can amplify harm at a scale comparable to, or even greater than, that of other heavily regulated industries.

Kurbalija concludes that addressing AI’s societal impact requires ending this era of legal exceptionalism and restoring a basic principle that those who create, deploy, and profit from technology must also be accountable for its consequences.

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