Privacy and data protection

Emerging AI trends that will define 2026

AI is set to reshape daily life in 2026, with innovations moving beyond software to influence the physical world, work environments, and international relations.

Autonomous agents will increasingly manage household and workplace tasks, coordinating projects, handling logistics, and interacting with smart devices instead of relying solely on humans.

Synthetic content will become ubiquitous, potentially comprising up to 90 percent of online material. While it can accelerate data analysis and insight generation, the challenge will be to ensure genuine human creativity and experience remain visible instead of being drowned out by generic AI outputs.

The workplace will see both opportunity and disruption. Routine and administrative work will increasingly be offloaded to AI, creating roles such as prompt engineers and AI ethics specialists, while some traditional positions face redundancy.

Similarly, AI will expand into healthcare, autonomous transport, and industrial automation, becoming a tangible presence in everyday life instead of remaining a background technology.

Governments and global institutions will grapple with AI’s geopolitical and economic impact. From trade restrictions to synthetic propaganda, world leaders will attempt to control AI’s spread and underlying data instead of allowing a single country or corporation to have unchecked dominance.

Energy efficiency and sustainability will also rise to the fore, as AI’s growing power demands require innovative solutions to reduce environmental impact.

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Health New Zealand appoints a new director to lead AI-driven innovation

Te Whatu Ora (the healthcare system of New Zealand) has appointed Sonny Taite as acting director of innovation and AI and launched a new programme called HealthX.

An initiative that aims to deliver one AI-driven healthcare project each month from September 2025 until February 2026, based on ideas from frontline staff instead of new concepts.

Speaking at the TUANZ and DHA Tech Users Summit in Auckland, New Zealand, Taite explained that HealthX will focus on three pressing challenges: workforce shortages, inequitable access to care, and clinical inefficiencies.

He emphasised the importance of validating ideas, securing funding, and ensuring successful pilots scale nationally.

The programme has already tested an AI-powered medical scribe in the Hawke’s Bay emergency department, with early results showing a significant reduction in administrative workload.

Taite is also exploring solutions for specialist shortages, particularly in dermatology, where some regions lack public services, forcing patients to travel or seek private care.

A core cross-functional team, a clinical expert group, and frontline champions such as chief medical officers will drive HealthX.

Taite underlined that building on existing cybersecurity and AI infrastructure at Te Whatu Ora, which already processes billions of security signals monthly, provides a strong foundation for scaling innovation across the health system.

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Cyberattack disrupts major European airports

Airports across Europe faced severe disruption after a cyberattack on check-in software used by several major airlines.

Heathrow, Brussels, Berlin and Dublin all reported delays, with some passengers left waiting hours as staff reverted to manual processes instead of automated systems.

Brussels Airport asked airlines to cancel half of Monday’s departures after Collins Aerospace, the US-based supplier of check-in technology, could not provide a secure update. Heathrow said most flights were expected to operate but warned travellers to check their flight status.

Berlin and Dublin also reported long delays, although Dublin said it planned to run a full schedule.

Collins, a subsidiary of aerospace and defence group RTX, confirmed that its Muse software had been targeted by a cyberattack and said it was working to restore services. The UK’s National Cyber Security Centre coordinates with airports and law enforcement to assess the impact.

Experts warned that aviation is particularly vulnerable because airlines and airports rely on shared platforms. They said stronger backup systems, regular updates and greater cross-border cooperation are needed instead of siloed responses, as cyberattacks rarely stop at national boundaries.

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JFTC study and MSCA shape Japan’s AI oversight strategy

Japan is adopting a softer approach to regulating generative AI, emphasising innovation while managing risks. Its 2025 AI Bill promotes development and safety, supported by international norms and guidelines.

The Japan Fair Trade Commission (JFTC) is running a market study on competition concerns in AI, alongside enforcing the new Mobile Software Competition Act (MSCA), aimed at curbing anti-competitive practices in mobile software.

The AI Bill focuses on transparency, international cooperation, and sector-specific guidance rather than heavy penalties. Policymakers hope this flexible framework will avoid stifling innovation while encouraging responsible adoption.

The MSCA, set to be fully enforced in December 2025, obliges mobile platform operators to ensure interoperability and fair treatment of developers, including potential applications to AI tools and assistants.

With rapid AI advances, regulators in Japan remain cautious but proactive. The JFTC aims to monitor markets closely, issue guidelines as needed, and preserve a balance between competition, innovation, and consumer protection.

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EDPS calls for strong safeguards in EU-US border data-sharing agreement

On 17 September 2025, the European Data Protection Supervisor (EDPS) issued an Opinion on the EU-US negotiating mandate for a framework agreement on exchanging information for security screenings and identity verifications. The European Commission’s Recommendation aims to establish legal conditions for sharing data between the EU member states and the USA, enabling bilateral agreements tied to the US Visa Waiver Program’s Enhanced Border Security Partnership.

EDPS Wojciech Wiewiórowski emphasised the need to balance border security with fundamental rights, warning that sharing personal and biometric data could interfere with privacy. The agreement, a first for large-scale data sharing with a third country, must strictly limit data processing to what is necessary and proportionate.

The EDPS recommended narrowing the scope of shared data, excluding transfers from sensitive EU systems related to migration and asylum, and called for robust accountability, transparency, and judicial redress mechanisms accessible to all individuals, regardless of nationality.

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AI agent headlines Notion 3.0 rollout

Notion has officially entered the agent era with the launch of Notion Agent, the centrepiece of its Notion 3.0 rollout. Described as a ‘teammate and Notion super user,’ the AI agent is designed to automate work inside and beyond Notion.

The new tool can automatically build pages and databases, search across connected tools like Slack, and perform up to 20 minutes of autonomous work at a time. Notion says this enables faster, more efficient workflows across hundreds of pages simultaneously.

A key feature is memory, which allows the agent to ‘remember’ a user’s preferences and working style. These memories can be edited and stored under multiple profiles, allowing users to customise their agent for different projects or contexts.

Notion highlights use cases such as generating email campaigns, consolidating feedback into reports, and transforming meeting notes into emails or proposals. The company says the agent acts as a partner who plans tasks and carries them out end-to-end.

Future updates will expand personalisation and automation, including fully customised agents capable of even more complex tasks. Notion positions the launch as a step toward a new era of intelligent, self-directed productivity.

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Lenovo unveils AI Super Agents for next-generation automation

Lenovo is pushing into the next phase of AI with the launch of its AI Super Agents, designed to move beyond reactive systems and perform complex, multi-step tasks autonomously.

The company describes the technology as a cognitive operating system capable of orchestrating multiple specialised agents to deliver results across devices and enterprise systems.

The AI Super Agent extends agentic AI to complete tasks like managing supply chains, booking services, and developing applications. Lenovo’s model combines perception, cognition, and autonomy, letting agents understand intent, make decisions, and adapt in real time.

According to Lenovo, the innovation will serve both individuals and businesses by streamlining workflows, scaling operations, and enhancing decision-making. The company stressed responsible AI, following international standards on ethics, transparency, and data protection.

AI Super Agents will be showcased at Lenovo’s Tech World event in Las Vegas in January 2026. They represent the next step in hybrid AI, combining on-device and enterprise-scale intelligence to enhance productivity and creativity.

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OpenAI explains approach to privacy, freedom, and teen safety

OpenAI has outlined how it balances privacy, freedom, and teen safety in its AI tools. The company said AI conversations often involve personal information and deserve protection like privileged talks with doctors or lawyers.

Security features are being developed to keep data private, though critical risks such as threats to life or societal-scale harm may trigger human review.

The company is also focused on user freedom. Adults are allowed greater flexibility in interacting with AI, within safety boundaries. For instance, the model can engage in creative or sensitive content requests, while avoiding guidance that could cause real-world harm.

OpenAI aims to treat adults as adults, providing broader freedoms as long as safety is maintained. Teen safety is prioritised over privacy and freedom. Users under 18 are identified via an age-prediction system or, in some cases, verified by ID.

The AI will avoid flirtatious talk or discussions of self-harm, and in cases of imminent risk, parents or authorities may be contacted. Parental controls and age-specific rules are being developed to protect minors while ensuring safe use of the platform.

OpenAI acknowledged that these principles sometimes conflict and not everyone will agree with the approach. The company stressed transparency in its decision-making and said it consulted experts to establish policies that balance safety, freedom, and privacy.

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Character.AI and Google face suits over child safety claims

Three lawsuits have been filed in US federal courts alleging that Character.AI and its founders, with Google’s backing, deployed predatory chatbots that harmed children. The cases involve the family of 13-year-old Juliana Peralta, who died by suicide in 2023, and two other minors.

The complaints say the chatbots were designed to mimic humans, build dependency, and expose children to sexual content. Using emojis, typos, and pop-culture personas, the bots allegedly gained trust and encouraged isolation from family and friends.

Juliana’s parents say she engaged in explicit chats, disclosed suicidal thoughts, and received no intervention before her death. Nina, 15, from New York, attempted suicide after her mother blocked the app, while a Colorado, US girl known as T.S. was also affected.

Character.AI and Google are accused of misrepresenting the app as child-safe and failing to act on warning signs. The cases follow earlier lawsuits from the Social Media Victims Law Center over similar claims that the platform encouraged harm.

SMVLC founder Matthew Bergman stated that the cases underscore the urgent need for accountability in AI design and stronger safeguards to protect children. The legal team is seeking damages and stricter safety standards for chatbot platforms marketed to minors.

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Researchers for OpenAI and Apollo find scheming behaviour in frontier AI models

OpenAI and Apollo Research developed evaluations to reveal hidden misalignment in advanced AI systems, often labelled scheming, and observed scheming-like behaviour in several frontier models, including OpenAI o3, o4-mini, Gemini 2.5 pro and Claude Opus-4.

Researchers treated covert actions, such as deliberately withholding or distorting task-relevant information, as a measurable proxy and stress-tested models across dozens of scenarios.

Scheming occurs when a model outwardly appears aligned while pursuing an alternate goal. The teams used a trader analogy to explain the risk: a rule-breaking broker who covers tracks can seem more compliant than an honest operator who accepts lower gains.

They trained models with deliberative alignment to counter the behaviour, asking them to read and reason about an anti-scheming specification before acting. Hence, models follow safety principles instead of merely avoiding detection.

That training produced about a thirtyfold reduction in covert actions on out-of-distribution tests, with o3 falling from 13 percent to 0.4 percent and o4-mini dropping from 8.7 percent to 0.3 percent.

Nevertheless, rare but serious failures remained, and measurement proved complex. Models often became more aware of being evaluated, and situational awareness can suppress observable scheming without altering underlying aims.

The study relied heavily on access to the models’ chain of thought to probe motivations, so preserving reasoning transparency is crucial for reliable oversight. The teams warned that training practices eroding transparency could make monitoring far harder and let misalignment hide rather than vanish.

OpenAI and Apollo called for broader cross-lab safety evaluations, stronger monitoring tools and continued research into anti-scheming techniques. They renewed their partnership, launched a $500,000 red-teaming challenge focused on scheming and proposed shared testing protocols.

The researchers emphasised there is no evidence that today’s deployed AI models would abruptly begin harmful scheming. Still, the risk will grow as systems take on more ambiguous, long-term, real-world responsibilities instead of short, narrow tasks.

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