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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AI forecasts help millions of Indian farmers

More than 38 million farmers in India have received AI-powered forecasts predicting the start of the monsoon season, helping them plan when to sow crops.

The forecasts, powered by NeuralGCM, a Google Research model, blend physics-based simulations with machine learning trained on decades of climate data.

Unlike traditional models requiring supercomputers, NeuralGCM can run on a laptop, making advanced AI weather predictions more accessible.

Research shows that accurate early forecasts can nearly double Indian farmers’ annual income by helping them decide when to plant, switch crops or hold back.

The initiative demonstrates how AI research can directly support communities vulnerable to climate shifts and improve resilience in agriculture.

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Startups gain new tools on Google Cloud

Google Cloud says AI startups are increasingly turning to its technology stack, with more than 60% of global generative AI startups building on its infrastructure. Nine of the world’s top ten AI labs also rely on its cloud services.

To support this momentum, Google Cloud hosted its first AI Builders Forum in Silicon Valley, where hundreds of founders gathered to hear about new tools, infrastructure and programmes designed to accelerate innovation.

Google Cloud has also released a technical guide to help startups build and scale AI agents, including retrieval-augmented generation (RAG) and multimodal approaches. The guide highlights leveraging Google’s agentic development kit and agent-to-agent tools.

The support is bolstered by the Google for Startups Cloud Program, which offers credits worth up to $350,000, mentorship and access to partner AI models from Anthropic and Meta. Google says its goal is to give startups the technology and resources to launch, scale and compete globally.

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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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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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Landmark tech deal secures record UK-US AI and energy investment

The UK and US have signed a landmark Tech Prosperity Deal, securing a £250 billion investment package across technology and energy sectors. The agreement includes major commitments from leading AI companies to expand data centres, supercomputing capacity, and create 15,000 jobs in Britain.

Energy security forms a core part of the deal, with plans for 12 advanced nuclear reactors in northeast England. These facilities are expected to generate power for millions of homes and businesses, lower bills, and strengthen bilateral energy resilience.

The package includes $30 billion from Microsoft and $6.8 billion from Google, alongside other AI investments aimed at boosting UK research. It also funds the country’s largest supercomputer project with Nscale, establishing a foundation for AI leadership in Europe.

American firms have pledged £150 billion for UK projects, while British companies will invest heavily in the US. Pharmaceutical giant GSK has committed nearly $30 billion to American operations, underlining the cross-Atlantic nature of the partnership.

The Tech Prosperity Deal follows a recent UK-US trade agreement that removes tariffs on steel and aluminium and opens markets for key exports. The new accord builds on that momentum, tying economic growth to innovation, deregulation, and frontier technologies.

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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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