AI helps to fight against antibiotic-resistant superbugs

UK scientists are launching a three-year initiative to use AI in the fight against drug-resistant infections, a growing threat to public health.

The project, backed by £45 million from GSK and coordinated with the Fleming Initiative, aims to develop new tools against pathogens that currently evade treatment.

Researchers will focus on priority bacteria and fungi identified by the World Health Organisation, including E. coli, Klebsiella pneumoniae, MRSA and Aspergillus.

These AI models will be utilised to design antibiotics and enhance the understanding of immune responses, with data shared globally to expedite drug development.

Experts warn that antimicrobial resistance could claim millions of lives by 2050 if new solutions are not found. The initiative reflects an urgent need to pool scientific expertise and technology to create next-generation treatments and vaccines for resistant infections.

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Growing internet connections mask deep inequalities, says ITU report

According to a recent International Telecommunication Union (ITU) report, the number of internet connections continues to grow, but important inequalities persist across quality, affordability and usage.

The ITU’s Facts and Figures 2025 report estimates that nearly 6 billion people (around three-quarters of the world’s population) are online in 2025, up from 5.8 billion in 2024. Despite the increase, 2.2 billion remain offline, the majority in low- and middle-income countries.

The divide is especially stark in quality of connection. While 5G now reaches 55 per cent of the global population, coverage is heavily skewed: just 4 per cent of people in low-income countries have 5G access, compared to 84 per cent in high-income economies.

Users in wealthier countries also generate much more data, a typical user in a high-income country now sends or receives nearly eight times more mobile data than someone in a low-income country.

Affordability remains a major hurdle: even with falling median prices for mobile broadband, access is still unaffordable for about 60 per cent of the population in many low- and middle-income countries. Meanwhile, digital skills, especially advanced skills like online safety, problem-solving and content-creation, lag behind basic usage, limiting how effectively people can benefit from connectivity.

ITU Secretary-General Doreen Bogdan-Martin emphasised that achieving universal and meaningful connectivity isn’t just about getting people online, it also requires prioritising speed, reliability, cost and skills.

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The future of EU data protection under the Omnibus Package

Introduction and background information

The Commission claims that the Omnibus Package aims to simplify certain European Union legislation to strengthen the Union’s long-term competitiveness. A total of six omnibus packages have been announced in total.

The latest (no. 4) targets small mid-caps and digitalisation. Package no. 4 covers data legislation, cookies and tracking technologies (i.e. the General Data Protection Regulation (GDPR) and ePrivacy Directive (ePD)), as well as cybersecurity incident reporting and adjustments to the Artificial Intelligence Act (AIA).

That ‘simplification’ is part of a broader agenda to appease business, industry and governments who argue that the EU has too much red tape. In her September 2025 speech to German economic and business associations, Ursula von der Leyen sided with industry and stated that simplification is ‘the only way to remain competitive’.

As for why these particular laws were selected, the rationale is unclear. One stated motivation for including the GDPR is its mention in Mario Draghi’s 2024 report on ‘The Future of European Competitiveness’.

Draghi, the former President of the European Central Bank, focused on innovation in advanced technologies, decarbonisation and competitiveness, as well as security. Yet, the report does not outline any concrete way in which the GDPR allegedly reduces competitiveness or requires revision.

The GDPR appears only twice in the report. First, as a brief reference to regulatory fragmentation affecting the reuse of sensitive health data across Member States (MS).

Second, in the concluding remarks, it is claimed that ‘the GDPR in particular has been implemented with a large degree of fragmentation which undermines the EU’s digital goals’. There is, however, no explanation of this ‘large fragmentation’, no supporting evidence, and no dedicated section on the GDPR as its first mention being buried in the R&I (research and innovation) context.

It is therefore unclear what legal or analytical basis the Commission relies on to justify including the GDPR in this simplification exercise.

The current debate

There are two main sides to this Omnibus, which are the privacy forward and the competitive/SME side. The two need not be mutually exclusive, but civil society warns that ‘simplification’ risks eroding privacy protection. Privacy advocates across civil society expressed strong concern and opposition to simplification in their responses to the European Commission’s recent call for evidence.

Industry positions vary in tone and ambition. For example, CrowdStrike calls for greater legal certainty under the Cybersecurity Act, such as making recital 55 binding rather than merely guiding and introducing a one-stop-shop mechanism for incident reporting.

Meta, by contrast, urges the Commission to go beyond ‘easing administrative burdens’, calling for a pause in AI Act enforcement and a sweeping reform of the EU data protection law. On the civil society side, Access Now argues that fundamental rights protections are at stake.

It warns that any reduction in consent prompts could allow tracking technologies to operate without users ever being given a real opportunity to refuse. A more balanced, yet cautious line can be found in the EDPB and EDPS joint opinion regarding easing records of processing activities for SMEs.

Similar to the industry, they support reducing administrative burdens, but with the caveat that amendments should not compromise the protection of fundamental rights, echoing key concerns of civil society.

Regarding Member State support, Estonia, France, Austria and Slovenia are firmly against any reopening of the GDPR. By contrast, the Czech Republic, Finland and Poland propose targeted amendments while Germany proposes a more systematic reopening of the GDPR.

Individual Members of the European Parliament have also come out in favour of reopening, notably Aura Salla, a Finnish centre-right MEP who previously headed Meta’s Brussels lobbying office.

Therefore, given the varied opinions, it cannot be said what the final version of the Omnibus would look like. Yet, a leaked draft document of the GDPR’s potential modifications suggests otherwise. Upon examination, it cannot be disputed that the views from less privacy-friendly entities have served as a strong guiding path.

Leaked draft document main changes

The leaked draft introduces several core changes.

Those changes include a new definition of personal and sensitive data, the use of legitimate interest (LI) for AI processing, an intertwining of the ePrivacy Directive (ePD) and GDPR, data breach reforms, a centralised data protection impact assessment (DPIA) whitelist/blacklist, and access rights being conditional on motive for use.

A new definition of personal data

The draft redefines personal data so that ‘information is not personal data for everyone merely because another entity can identify that natural person’. That directly contradicts established EU case law, which holds that if an entity can, with reasonable means, identify a natural person, then the information is personal data, regardless of who else can identify that person.

A new definition of sensitive data

Under current rules, inferred information can be sensitive personal data. If a political opinion is inferred from browsing history, that inference is protected.

The draft would narrow this by limiting sensitive data to information that ‘directly reveals’ special categories (political views, health, religion, sexual orientation, race/ethnicity, trade union membership). That would remove protection from data derived through profiling and inference.

Detected patterns, such as visits to a health clinic or political website, would no longer be treated as sensitive, and only explicit statements similar to ‘I support the EPP’ or ‘I am Muslim’ would remain covered.

Intertwining article 5(3) ePD and the GDPR

Article 5(3) ePD is effectively copied into the GDPR as a new Article 88a. Article 88a would allow the processing of personal data ‘on or from’ terminal equipment where necessary for transmission, service provision, creating aggregated information (e.g. statistics), or for security purposes, alongside the existing legal bases in Articles 6(1) and 9(2) of the GDPR.

That generates confusion about how these legal bases interact, especially when combined with AI processing under LI. Would this mean that personal data ‘on or from’ a terminal equipment may be allowed if it is done by AI?

The scope is widened. The original ePD covered ‘storing of information, or gaining access to information already stored, in the terminal equipment’. The draft instead regulates any processing of personal data ‘on or from’ terminal equipment. That significantly expands the ePD’s reach and would force controllers to reassess and potentially adapt a broad range of existing operations.

LI for AI personal data processing

A new Article 88c GDPR, ‘Processing in the context of the development and operation of AI’, would allow controllers to rely on LI to process personal data for AI processing. That move would largely sideline data subject control. Businesses could train AI systems on individuals’ images, voices or creations without obtaining consent.

A centralised data breach portal, deadline extension and change in threshold reporting

The draft introduces three main changes to data breach reporting.

  • Extending the notification deadline from 72 to 96 hours, giving privacy teams more time to investigate and report.
  • A single EU-level reporting portal, simplifying reporting for organisations active in multiple MS.
  • Raising the notification threshold when the rights and freedoms of data subjects are at ‘risk’ to ‘high risk’.

The first two changes are industry-friendly measures designed to streamline operations. The third is more contentious. While industry welcomes fewer reporting obligations, civil society warns that a ‘high-risk’ threshold could leave many incidents unreported. Taken together, these reforms simplify obligations, albeit at the potential cost of reducing transparency.

Centralised processing activity (PA) list requiring a DPIA

This is another welcome change as it would clarify which PAs would automatically require a DPIA and which would not. The list would be updated every 3 years.

What should be noted here is that some controllers may not see their PA on this list and assume or argue that a DPIA is not required. Therefore, the language on this should make it clear that it is not a closed list.

Access requests denials

Currently, a data subject may request a copy of their data regardless of the motive. Under the draft, if a data subject exploits the right of access by using that material against the controller, the controller may charge or refuse the request.

That is problematic for the protection of rights as it impacts informational self-determination and weakens an important enforcement tool for individuals.

For more information, an in depth analysis by noyb has been carried out which can be accessed here.

The Commission’s updated version

As of the 19th of November, the Commission has published its digital omnibus proposal. Most of the amendments in the leaked draft have remained. One of the measures dropped is the definition of sensitive data. This means that inferences could amount to sensitive data.

However, the final document keeps three key changes that erode fundamental rights protections:

  • Changing the definition of personal data to be a subjective and narrow one;
  • An intertwining of the ePD and the GDPR which also allows for processing based on aggregated and security purposes;
  • LI being relied upon as a legal basis for AI processing of personal data.

Still, positive changes remain:

  • A single-entry point for EU data breaches. This is a welcomed measure which streamlines reporting and appease some compliance obligations for EU businesses.
  • Another welcomed measure is the white/black-list of processing activities which would or would not require a DPIA. The same note remains with what the language of this text will look like.

Overall, these two measures are examples of simplification measures with concrete benefits.

Now, the European Parliament has the task to dissect this proposal and debate on what to keep and what to reject. Some experts have suggested that this may take minimum 1 year to accomplish given how many changes there are, but this is not certain.

We can also expect a revised version of the Commission’s proposal to be published due to the errors in language, numbering and article referencing that have been observed. This does not mean any content changes.

Final remarks

Simplification in itself is a good idea, and businesses need to have enough freedom to operate without being suffocated with red tape. However, changing a cornerstone of data protection law to such an extent that it threatens fundamental rights protections is just cause for concern.

Alarms have already been raised after the previous Omnibus package on green due diligence obligations was scrapped. We may now be witnessing a similar rollback, this time targeting digital rights.

As a result, all eyes are on 19 November, a date that could reshape not only the EU privacy standards but also global data protection norms.

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AI energy demand strains electrical grids

Microsoft CEO Satya Nadella recently delivered a key insight, stating that the biggest hurdle to deploying new AI solutions is now electrical power, not chip supply. The massive energy requirements for running large language models (LLMs) have created a critical bottleneck for major cloud providers.

Nadella specified that Microsoft currently has a ‘bunch of chips sitting in inventory’ that cannot be plugged in and utilised. The problem is a lack of ‘warm shells’, meaning data centre buildings that are fully equipped with the necessary power and cooling capacity.

The escalating power requirements of AI infrastructure are placing extreme pressure on utility grids and capacity. Projections from the Lawrence Berkeley National Laboratory indicate that US data centres could consume up to 12 percent of the nation’s total electricity by 2028.

The disclosure should serve as a warning to investors, urging them to evaluate the infrastructure challenges alongside AI’s technological promise. This energy limitation could create a temporary drag on the sector, potentially slowing the massive projected returns on the $5 trillion investment.

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AI threatens global knowledge diversity

AI systems are increasingly becoming the primary source of global information, yet they rely heavily on datasets dominated by Western languages and institutions.

Such reliance creates significant blind spots that threaten to erase centuries of indigenous wisdom and local traditions not currently found in digital archives.

Dominant language models often overlook oral histories and regional practices, including specific ecological knowledge essential for sustainable living in tropical climates.

Experts warn of a looming ‘knowledge collapse’ where alternative viewpoints fade away simply because they are statistically less prevalent in training data.

Future generations may find themselves disconnected from vital human insights as algorithms reinforce a homogenised worldview through recursive feedback loops.

Preserving diverse epistemologies remains crucial for addressing global challenges, such as the climate crisis, rather than relying solely on Silicon Valley’s version of intelligence.

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Abridge AI scribe allegedly gives doctors an hour back daily

A new study led by Yale University confirmed that Abridge’s ambient AI scribe significantly reduces burnout for medical professionals. Clinicians who used the documentation technology experienced a sharp decline in burnout rates over the first thirty days of use.

AI may offer a scalable solution to administrative demands faced by practitioners nationwide. The quality study, published in ‘Jama Network Open’, examined 263 practitioners across six different healthcare systems.

Burnout rates dropped from 51.9 percent to 38.8 percent after the one-month intervention programme. Secondary analysis showed the AI scribes reduced the odds of burnout by a substantial seventy-four percent.

The ambient AI scribe also led to substantial improvements in the clinicians’ cognitive task load. Practitioners reported they were better able to give undivided attention to patients during their clinical consultations.

High documentation demands are increasing clinician attrition, whilst physician shortages multiply across the sector. Reducing the burdensome administrative load is now critical for maintaining quality patient care and professional well-being.

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Berlin summit links digital strategy to wider European security

German Chancellor Friedrich Merz and French President Emmanuel Macron will host a Berlin summit to reduce Europe’s reliance on US tech platforms and to shape a more independent EU digital strategy. The meeting coincides with planned revisions to EU AI and data rules.

The push for digital independence reflects growing concern that Europe risks falling behind the US in strategic technologies. Leaders argue that regulatory changes must support competitiveness while maintaining core privacy and safety principles.

Germany is also hosting a two-day European security conference in Berlin, featuring German Defence Minister Boris Pistorius. The parallel agendas highlight how digital strategy and geopolitical security are increasingly linked in EU policy debates.

The German foreign minister, Johann Wadephul, has meanwhile backed the EU enlargement in the Western Balkans during a visit to Montenegro, signalling continued geopolitical outreach alongside internal reforms.

The Berlin discussions are expected to shape Europe’s stance ahead of upcoming AI and data proposals, setting the tone for broader talks on industrial policy, technology sovereignty, and regional security.

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Nokia to build Surge’s 5G fixed-wireless network in Indonesia

Indonesian telecom provider Surge (Solusi Sinergi Digital) and Nokia have entered a multi-year agreement to roll out a 5G Fixed Wireless Access (FWA) network across Java, Papua, and Maluku.

Nokia will leverage its existing FTTx, IP and optical infrastructure for backhaul, and deploy a new RAN and customer premises equipment (CPE) tailored for FWA. The deployment will utilise Nokia’s AirScale RAN portfolio, comprising baseband, remote radio heads, and zero-footprint sites, all enabled by its energy-efficient ReefShark chip technology.

To help manage the network, Surge will utilise Nokia’s MantaRay NM network management system, which provides a unified view of operations. The agreement also includes deployment, maintenance and support services, with AI-based performance, efficiency and safety enhancements.

This project supports broader aims of digital inclusion in Indonesia: Surge plans to offer flat-rate 5G FWA services at around IDR 100,000 (~US$6) per month, with speeds of up to 100 Mb/s and no data cap.

From a policy and infrastructure standpoint, the deal is noteworthy. It shows how 5G FWA can be used to address connectivity gaps in regions where fibre rollout is challenging, and how advanced RAN technologies, combined with AI-led operations, can make large-scale broadband deployment more feasible.

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AI expected to reshape 89% of jobs across the workforce in 2026

AI is set to transform the UK workforce in 2026, with nearly 9 out of 10 senior HR leaders expecting AI to reshape jobs, according to a CNBC survey. The survey highlights a shift towards skill-based, AI-enabled recruitment rather than traditional degree-focused hiring.

Despite the widespread adoption of AI, workforce reductions are expected to stem mainly from general cost-cutting rather than efficiency gains. Many HR leaders also noted that while AI has improved efficiency and innovation, it has not yet been fully integrated into every job, resulting in uneven impact across organisations.

The research highlights the potential of AI to boost productivity and innovation, with studies indicating that employees can save an average of 7.5 hours per week by utilising AI tools. HR experts emphasised that learning to use AI to augment human interactions, rather than replace them, will be crucial for the workforce’s future.

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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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