Emerging Technology Trends

What’s next for tech in 2026? Gartner just published their findings in their Top 10 Strategic Technology Trends for 2026, and it’s a fascinating snapshot of where we’re heading. This isn’t just about new tools — it’s about how we build, secure, and scale in an AI-native world. Here's what was interesting: 1. AI-Native Development Platforms - Generative AI is rewriting how software gets made. “Tiny teams” of 2–3 people can now deliver production-grade apps using AI co-developers. 2. AI Supercomputing Platforms - The race for compute is real. Expect hybrid architectures that mix GPUs, quantum, and neuromorphic chips to handle foundation model workloads. 3. Geopatriation - Cloud strategy meets geopolitics. Workloads are moving back to sovereign or regional environments to balance performance, compliance, and risk. 4. Domain-Specific Language Models (DSLMs) - The era of giant, generic LLMs gives way to specialized, fine-tuned models built for verticals like finance, healthcare, and manufacturing. 5. Preemptive Cybersecurity - Defense shifts from detection to prediction. AI-driven deception, automated red teaming, and threat simulation become core capabilities. 6. Digital Provenance - Every artifact (code, dataset, or model) will need a verifiable origin. Expect BOMs, attestation databases, and watermarking to become standard. 7. AI Security Platforms - New category emerging: unified control planes that secure both AI services and in-house models from prompt injection and data exfiltration. 8. Confidential Computing - Protecting data in use (not just in transit or at rest) is the new compliance frontier. Hardware TEEs will be table stakes for regulated workloads. 9. Multiagent Systems - The “Internet of Agents” is coming. Modular, interoperable AIs that can delegate, negotiate, and collaborate across platforms. 10. Physical AI - Robots, drones, and autonomous systems become extensions of digital intelligence. The boundary between IT and OT is vanishing fast. https://lnkd.in/gsMPKJM8

One of our most anticipated reports each year is out—a comprehensive look at the most significant tech trends unfolding today, from agentic AI to the future of mobility to bioengineering. It provides CEOs with insights on how to embrace frontier technology that has the potential to transform industries and create new opportunities for growth.   Here’s my top-line take: —Equity investments rose in 10 out of 13 tech trends in 2024, with 7 of those trends recovering from declines in the previous year. This rebound signals growing confidence in emerging technologies. —We're witnessing a significant shift in autonomous systems going from pilots to practical applications. Systems like robots and digital agents, are not only executing tasks but also learning and adapting. Agentic AI saw a $1.1 billion equity investment in 2024 alone. —The interface between humans and machines is becoming more natural and intuitive. Advances in immersive training environments, haptic robotics, voice-driven copilots, and sensor-enabled wearables are making technology more responsive to human needs. —And, of course, the AI effect stands out as both a powerful trend in its own right and a foundational amplifier of others. AI is accelerating robotics training, advancing bioengineering discoveries, optimizing energy systems, and more. The sheer scale of investment in AI is staggering, with $124.3 billion in equity investment in 2024 alone.   Let's discuss: Which of these trends do you think will have the most significant impact on your industry? Share your thoughts in the comments below!   Big thanks to my colleagues Lareina Yee, Michael Chui, Roger Roberts, and Sven Smit.   #TechTrends #AI #Innovation #FutureOfWork #EmergingTech http://mck.co/techtrends

The WEF 2025 top 10 Emerging Technologies are not just scientific milestones. They represent choices that will either accelerate a sustainable and equitable future or widen the gaps we are already struggling to close. 1. Structural Battery Composites Vehicles and aircraft that store energy in their body panels could reduce emissions. Yet carbon fiber is energy heavy and recycling is limited. Without a closed loop strategy this may solve one problem while creating another. 2. Osmotic Power Systems Saltwater gradients can generate clean and steady power. This could bring resilience to coastal communities. The challenge is cost and ensuring installations do not harm fragile marine ecosystems. 3. Advanced Nuclear Technologies Small modular reactors and new cooling systems promise low carbon power. Yet the social license for nuclear is fragile. Communities need transparency, trust building, and waste strategies or progress will stall. 4. Engineered Living Therapeutics Microbes that produce medicines inside the body could transform care. Safety, patient consent, and equitable access must guide development or this may deepen inequalities. 5. GLP 1s for Neurodegenerative Disease Repurposed diabetes drugs may slow Alzheimer’s and Parkinson’s. But if affordability is not solved this will widen divides in access to years of quality life. 6. Autonomous Biochemical Sensing Continuous monitoring of health and environment could create early warnings for food safety and pollution. But constant data capture raises risks for privacy and governance. 7. Green Nitrogen Fixation Reimagining ammonia with renewable energy could eliminate one of the most carbon intensive processes in agriculture. Yet lithium dependency and toxicity concerns must be addressed to ensure true sustainability. 8. Nanozymes Synthetic enzymes can support medicine, water purification, and food safety at lower cost. The opportunity is vast, but ethical guidelines and biocompatibility will determine trust. 9. Collaborative Sensing Connected networks of sensors could create responsive cities and factories. The risk is surveillance and misuse of data. Without trust, adoption will falter. 10. Generative Watermarking Invisible markers to authenticate digital content may help combat misinformation. Crucial for protecting democracy, but technology alone cannot solve the social dynamics of disinformation. ⚡ Technology is not inherently good or bad? Its value lies in how we design the systems, supply chains, and governance that shape its impact. 👉 Which of these ten will most shape our world by 2030, and what blind spots do you see? Please 👍🏽 like, comment or reshare ♻️ to spread the message

10 Breakthrough Technologies That Could Redefine Life by 2050 A Glimpse Into Tomorrow’s World BBC Science Focus highlights 10 technologies that could transform how we live, heal, build, and explore. These innovations—ranging from molecular medicine to space cleanup—are on the cusp of shifting from lab experiments to everyday reality. While the timeline stretches toward 2050, early versions of many are already in development. Emerging Innovations to Watch 1. Nano-Medics • Operate at the scale of billionths of a meter. • Could deliver drugs directly to diseased cells or repair damaged tissues. • May revolutionize how we treat cancer and other complex conditions. 2. Digital Twins • Detailed digital replicas of physical objects or systems. • Used in industries, smart cities, and healthcare to simulate outcomes and plan responses. • Could allow doctors to model organs or engineers to test designs in real time. 3. Space Janitors • Robotic systems designed to collect dangerous space debris. • Prevent collisions and keep Earth’s orbit safe for satellites and future missions. • Critical for sustaining space infrastructure and exploration. 4. Self-Healing Infrastructure • Materials that autonomously repair cracks or wear, like bacteria-based concrete or reactive polymers. • Could reduce maintenance costs and extend lifespans of roads, bridges, and buildings. 5. Anti-Ageing Science • Research into slowing or reversing aging at the cellular level using gene editing and metabolic tweaks. • Aims to extend healthspan rather than just lifespan. • Raises complex questions about access and ethics. 6. Artificial Photosynthesis • Mimics plants to convert sunlight, water, and CO₂ into clean energy. • Could produce carbon-neutral fuels at scale. • Promising for both climate change and global energy demands. 7. Wireless Electricity • Systems that transmit power without cables using resonance or lasers. • Could one day charge devices and vehicles through the air. • A step toward fully connected, clutter-free environments. 8. Brain-Computer Interfaces (BCIs) • Allow users to control devices using brain signals. • Already being tested for restoring mobility or speech in paralyzed individuals. • Could reshape how we interact with technology. 9. Smart Dust • Tiny sensors that gather environmental data wirelessly. • Applications in agriculture, logistics, defense, and health. • Raises concerns about surveillance and privacy. 10. Ocean Energy Harvesters • Use wave and tidal motion to generate electricity. • Offers consistent, renewable energy from marine sources. Why It Matters These inventions could solve urgent global problems—from energy shortages and environmental degradation to disease and aging. They also present challenges, including ethical dilemmas, privacy risks, and unequal access. If developed responsibly, these technologies could create a healthier, more sustainable, and more connected world by mid-century.

Emerging Departments: How AI is Transforming Organizations Transformation in light of AI isn't just about digital change—it's strategic, cultural, and organizational. Early results of organizational optimization with AI reveal that traditional structures are evolving into new, combined departments that break down silos and enhance collaboration. Here are some emerging trends: 1. Human Experience Department (Led by the CXO) Combines marketing, HR, and customer service to create a unified experience approach. Focuses on customer and employee experience as a seamless continuum. Example: Airbnb and Starbucks blending internal and external engagement for holistic experience design. 2. The Intelligence Function (Led by Chief Data & Intelligence Officer (CDIO)) Merges IT, data analytics, and AI strategy into a unified intelligence function. Enhances decision-making with data-driven insights and technology integration. Example: Microsoft and Amazon use intelligence functions to support strategy and innovation. 3. Integrated Growth Department (Led by the CGO) Combines Marketing, Sales, and Customer Success to create cohesive client journeys. Prioritizes growth by aligning customer interactions across all touchpoints. Example: HubSpot and Salesforce driving client experience continuity. 4. Strategic Innovation & Transformation Office (Led by Chief Strategy Officer or Chief Transformation Officer) Combines strategy, innovation, and transformation initiatives for continuous evolution. Fosters agility by integrating foresight and innovation into long-term strategy. Example: Tesla blending innovation with strategic growth planning. 5. Technology and Digital Transformation Department (Led by the Chief Technology & Transformation Officer) Integrates IT, digital transformation, and cybersecurity under one strategic role. Embeds technology into workflows while ensuring security and compliance. Example: Cisco and IBM streamlining their digital transformation efforts. 6. Resilience and Continuity Department (Led by the Chief Risk Officer) Oversees Risk Management, Business Continuity, and Strategic Foresight. Ensures organizational resilience in an increasingly FLUX world. Example: JP Morgan building resilience to mitigate risks and ensure continuity. 7. Ethics and Responsible AI Office (Led by the CEAO) Ensures ethical AI use and compliance with regulatory standards. Maintains trust and integrity as AI becomes central to business strategy. Example: Microsoft and IBM proactively building ethics frameworks for responsible AI. In sum, AI is driving fundamental shifts in how we structure our organizations. To thrive, leaders must think beyond digital transformation and focus on strategic, cultural, and organizational evolution. The companies that succeed will be those that break down silos, integrate their functions, and embrace transformation as a continuous journey.

🤖 Big shifts happening in AI, and I'm excited to share my thoughts on what's next. OpenAI's latest image generation capabilities are impressive, but they're just scratching the surface. The real revolution? Visual reasoning - where AI will actually think through problems by creating and analyzing sequences of images. Today's AI can edit photos and generate variations. Tomorrow's AI will: • Design spaces by visualizing different layouts • Solve complex mechanical problems through visual simulation • Predict social interactions by imagining body language • Work through spatial puzzles by actually "seeing" solutions The training data is everywhere - from how-to videos to 3D simulations. And with companies like Google sitting on vast video repositories (YouTube), we're about to see an explosion in AI's ability to understand and reason about the visual world. This isn't just about better image generation - it's about fundamentally changing how AI understands and interacts with our physical world. 💡 Want to dive deeper? I've written a detailed analysis exploring where this technology is headed and why it matters. Check out the full post in the comments below. Follow me for more insights on AI, machine learning, and the future of technology. I regularly share analysis on emerging trends and breakthrough capabilities in AI.

🚀 Gartner’s Top 10 Strategic Tech Trends for 2025 Gartner just dropped its top tech trends for 2025, spotlighting where the future is headed. If you want to stay ahead in a shifting landscape, here’s the scoop: 1. Agentic AI 🤖 Autonomous AI systems are here. They can make decisions on their own and take over complex tasks. This means better efficiency and fewer manual processes. There are multiple platforms including OpenAI’s SWARM multi-agent infrastructure making agent creation and products more accessible. If you think AI exploded, just wait.. 2. AI Governance Platforms 🧑⚖️ With AI taking on bigger roles, governance platforms are crucial. They manage compliance, ethics, and transparency, which are non-negotiable in today’s landscape. Look to Nebuly or Liminal in this space. 3. Disinformation Security 🔒 Misinformation is a real threat. Tools that detect and tackle false information are essential to keeping data and communication secure. I just posted yesterday about Google’s watermark, not perfect but closer. 4. Post-Quantum Cryptography 🧠 Quantum computing is advancing fast, putting current cryptographic methods at risk. Post-quantum cryptography is all about future-proofing sensitive data. 5. Ambient Intelligence 🌍 Low-cost sensors are being embedded into environments to collect data and automate processes. But privacy concerns come with the territory. 6. Energy-Efficient Computing 🌱 Sustainability matters. Energy-efficient hardware and software solutions cut down on IT’s carbon footprint and help businesses meet their green goals. 7. Hybrid Computing ⚙️ By blending traditional and emerging tech, hybrid models offer flexibility and performance to tackle complex tasks in dynamic environments. 8. Spatial Computing 🕶️ Augmented and virtual reality are merging the digital and physical worlds. This shift is reshaping experiences from remote collaboration to product interaction. 9. Polyfunctional Robots 🤖 Labor costs are rising. Versatile robots that can handle multiple tasks are the solution, especially in manufacturing and logistics. Tesla and others already experimenting and launching. 10. Neurological Enhancement 🧠💡 Brain-machine interfaces are no longer sci-fi. They’re making strides in education, safety, and performance enhancement. Impact on GTM For GTM leaders, these trends are key to driving growth. Agentic AI improves customer engagement and speeds up sales cycles. AI Governance builds trust through secure and ethical practices. Disinformation Security safeguards your brand’s credibility. Hybrid and Spatial Computing create new channels and ways to connect with customers. Neurological Enhancements elevate training and insights with smarter tools. I’ll add one of my own which is TRUST. The more the digital experience can be cloned or created by AI, the more in person events will come back full swing so people can trust the person in front of them. What do you think?

AI is evolving at a pace that’s rewriting the playbook for leaders, technologists, and policymakers alike. Several trends are shaping the way enterprises and societies harness AI: • Agentic / Autonomous AI – Systems that plan, decide, and act with minimal human input, unlocking speed and scale but raising new governance challenges. • Multimodal & Contextual AI – Integrating text, images, video, and audio for richer insights and more natural human-machine interaction. • Reasoning & Memory Advances – Models that can explain their logic, “remember” past interactions, and adapt in real time are shifting AI closer to human-like thinking. • Smaller, Specialized Models – Domain-specific, efficient AI is gaining ground over massive general models, reducing cost and latency while boosting relevance. • Industrialization of AI – The shift from pilots to production is accelerating, with MLOps, governance, and AI-native architectures becoming the foundation for scale. • Responsible AI & Trust – Regulation, transparency, and safety are no longer optional; organizations are prioritizing ethical frameworks and adversarial resilience. • Compute & Sustainability Pressure – The race for compute power is stressing infrastructure and energy grids, spotlighting efficiency and carbon-aware AI strategies. The organizations that thrive will be those that balance innovation with responsibility, autonomy with oversight, and speed with trust. 👉 Which of these trends do you see making the biggest impact in the next 12 months? #AI #EmergingTech #DataStrategy #ResponsibleAI

We’re excited to announce the release of JPMorganChase’s 2026 Emerging Technology Trends report. It’s a must-read for anyone interested in the future of technology and innovation in financial services. This year’s report, produced by our Global Technology Strategy, Innovation and Partnerships team, spotlights key trends that are actively transforming our industry: • Context-driven architecture: AI agents are only as effective as the data and tools they access. Building applications rich in context is now essential for delivering standout products and services. • AI infrastructure build out: The growing need for AI inference is fueling investment in hybrid compute architectures, including classical-quantum workflows and neuromorphic systems. The pursuit of quantum advantage is accelerating! • Intent is the new interface: App switching is becoming obsolete. We’re moving toward AI-native environments that anticipate user needs and unify workflows into a single, personalized experience. • AI-powered simulation: Advanced simulations are revolutionizing how we test, validate, and optimize products and processes, enabling faster, safer innovation at scale. These aren’t just forecasts; they’re already influencing how we work, collaborate, and deliver value to our customers every day. Explore the full report for deeper insights and actionable takeaways. Share your thoughts and check out the 2026 Emerging Technology Trends report below!

The convergence of emerging technologies such as AI, immersive interfaces, and digital representations of people and customers will progressively redefine the dynamics of sales, shaping more adaptive, personalized, and emotionally aware interactions. In recent years we have seen strong signals of this transformation. Gartner has identified seven disruptions that are accelerating change: machine customers, multimodality, generative AI, augmented and virtual reality, emotion AI, digital humans, and the digital twin of the customer. Each of these elements carries a specific impact, but together they form an ecosystem that is starting to alter how companies design their customer experience strategies. Generative AI is already being used to create tailored content and recommendations. Emotion AI adds a new layer of sensitivity by interpreting sentiment and intention. Digital twins of customers allow organizations to simulate behaviors and predict preferences with growing accuracy. When combined with immersive tools such as AR and VR, these innovations create environments where engagement becomes more natural and interactive. The question is not only how to adopt these technologies, but how to shape them in ways that create value and trust in the relationship with customers. #AI #Sales #CustomerExperience #DigitalTransformation