AI-Designed Physics Experiments in 2026: When Artificial Intelligence Starts Inventing the Laboratory
How AI is moving from tuning experiments to proposing new physical configurations — and what reliability, simulation and human oversight must look like before AI-designed science becomes routine.
AI in HealthcareAI-Enabled Clinical Trials: Digital Twins, Agentic AI and the Future of Drug Development
A 2026 analysis of how AI, digital twins, patient matching and agentic data workflows could reshape clinical trials without weakening validation, regulation or human oversight.
AI and GenomicsAlphaGenome Atlas and the Future of Predictive Genomics: What Nine Billion DNA Variant Predictions Could Change
What the new AlphaGenome Atlas means for research on non-coding DNA, variant prioritization and AI-enabled biology — and why prediction at genome scale still requires experimental validation.
AI, Climate and InfrastructureWeatherNext 3 and the Future of AI Weather Forecasting: From Prediction Model to Decision Infrastructure
How faster, higher-resolution AI weather forecasting could reshape energy, logistics, agriculture and climate resilience — and why forecast skill must be translated into better decisions.
Multimodal and Agentic AIAgentic Video Understanding: When AI Decides What to Watch, Remember and Investigate
Why agentic video understanding is a major step for multimodal AI: systems can navigate long recordings selectively instead of processing every frame, opening applications in research, operations and personal computing.
AI, Future and WarMilitary AI and the Future of War: Why Human Judgement Still Matters
How military AI changes decision-making, why human oversight can fail, and what meaningful accountability requires before high-stakes deployment.
AI, Future and WarAI and Crisis Escalation: When Faster Analysis Increases Risk
An analysis of AI-driven crisis escalation, correlated mistakes and uncertainty, with practical ideas for slower, better-verified strategic decisions.
AI, Future and WarDeepfakes in Wartime: Building a Reliable Verification Process
How organisations can verify crisis videos and messages using provenance, corroboration and clear escalation rules without trusting AI detectors blindly.
AI, Future and WarAI and Civilian Infrastructure: Resilience During Conflict
A practical assessment of AI dependence in essential services, focusing on degraded operation, supplier concentration and tested recovery during disruption.
AI, Future and WarAI, Maritime Disruption and War: A Better Supply-Chain Risk View
How AI can organise maritime disruption evidence while scenario analysis connects rerouting, delivery delays, working capital and supplier resilience.
AI, Future and WarAI and Energy Security in a Fragmented World
Why AI resilience depends on electricity, physical infrastructure and supplier diversity, with scenario questions for geographically concentrated compute.
AI, Future and WarHumanitarian AI in Conflict: Useful Assistance Without New Harm
How humanitarian organisations can assess AI translation and information tools while protecting sensitive data, maintaining access and correcting mistakes.
AI, Future and WarAI and War-Risk Insurance: Understanding Accumulation Before Prediction
An insurance risk perspective on AI-supported exposure analysis, conflict scenarios, coverage uncertainty and correlated losses across connected businesses.
AI, Future and WarProcuring AI for Crisis Decisions: Questions Leaders Should Ask
A practical procurement framework for AI used in crisis decisions, covering evidence, supplier changes, exit planning and the limits of demonstrations.
AI, Future and WarAI and the Future of War to 2035: Three Scenarios for Leaders
Three explicitly hypothetical scenarios for AI and conflict by 2035, with indicators and practical resilience choices that avoid false forecasting precision.
Artificial IntelligenceThe EU AI Act Is Now Operational: Turning Transparency Rules into Product Controls
A practical 2026 framework for converting EU AI Act transparency duties into governed product controls, evidence, monitoring and accountable decisions.
Futurism and ForesightAI for Strategic Foresight: How to Improve Horizon Scanning Without Automating Judgment
An evidence-led framework for using AI in strategic foresight while protecting source quality, scenario diversity, human judgment and decision accountability.
Emerging TechnologyQuantum Sensing Beyond the Laboratory: A Readiness Framework for Critical Infrastructure
A practical framework for assessing quantum-sensing applications, noise resilience, validation evidence, deployment constraints and infrastructure readiness.
Digital SocietyEU Digital Identity Wallets in 2026: Designing Trust Without Creating a New Point of Control
How EU Digital Identity Wallets can improve verification while protecting selective disclosure, privacy, interoperability, recovery and user agency.
Technology and SustainabilityAI Data Centres and Electricity: Why Compute Strategy Must Become Grid Strategy
An evidence-led framework for connecting AI compute planning with electricity capacity, grid constraints, efficiency, resilience and location decisions.
Future SocietyAI Companions and Synthetic Relationships: What Happens When Machines Become Social Actors?
AI companions are becoming a distinct technology category. What current evidence says about attachment, well-being, design incentives and the future norms of human–AI relationships.
Artificial IntelligenceAutonomous AI Scientists: Can Self-Driving Laboratories Accelerate Discovery Without Losing Scientific Trust?
Self-driving laboratories are closing the loop between hypothesis, experiment and analysis. The next challenge is provenance, reproducibility, scale and scientific judgement.
Future HealthcareBrain–Computer Interfaces in 2026: Medical Breakthrough, New Interface or Both?
Brain–computer interfaces are making real medical progress while broader human-computer-interface claims remain speculative. A grounded look at restoration, enhancement and neural-data ethics.
Futures ThinkingQuantum Computing After the Hype: What Would Useful Quantum Advantage Actually Change?
Quantum computing matters when it solves valuable problems better than classical alternatives. A grounded guide to useful quantum advantage, hybrid systems and the signals that matter.
Future of WorkAI Tutors and the Future of Education: Personalised Learning Without Outsourcing Thinking
Generative AI can improve tutoring and teaching, but completing a task is not the same as learning. What pedagogy-first AI means for teachers, assessment and future skills.
Future HealthcareWhen AI Designs Biology: The Emerging Future of Proteins, Medicines and Synthetic Biology
Generative AI can search enormous protein design spaces, but generated sequences are hypotheses until biology validates them. How AI, wet labs and automation may reshape biotechnology.
Future SocietyThe AI-Generated Internet Needs Receipts: Can Content Provenance Help Us Know What Is Real?
Perfect AI detection may be impossible. Content provenance offers a different approach: record where media came from and how it changed. What Content Credentials can and cannot solve.
RoboticsPhysical AI and World Models: Why the Next AI Frontier May Be Outside the Screen
AI systems are moving from modelling language to acting in physical environments. World models, embodiment, simulation and the sim-to-real gap may define the next robotics frontier.
Future CitiesRobotaxis Are Becoming Real: How Autonomous Mobility Could Reshape Cities Without Fixing Congestion
Commercial robotaxis are expanding, but autonomy does not automatically solve traffic. A 2026 look at safety, empty miles, kerb space, labour, transit and urban policy.
Artificial IntelligenceNeuromorphic Computing in 2026: Can Brain-Inspired Chips Make AI More Efficient?
Neuromorphic computing promises event-driven, low-power AI hardware inspired by biological nervous systems. What 2026 research shows, what remains difficult and where it could matter first.