Key Tech Trends to Watch

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

I always share a post each year talking about my predictions in technology. Here are my general technology trends for 2025. 🔺 Wider Adoption of Generative AI 🔹 Domain-specific models: We’ll see more specialized generators trained on targeted data (e.g., legal, medical, scientific) that can produce highly accurate and context-specific content. 🔹 Hybrid approaches: Enterprises will use generative AI alongside rule-based or traditional ML methods to achieve more reliable outcomes, minimizing hallucinations and biases. 🔺 Rise of Multimodal Systems 🔹 Unified AI experiences: Instead of siloed text, image, audio, and video models, we’ll see integrated systems that seamlessly handle multiple data types. This leads to richer applications, from next-gen customer support to advanced robotics. 🔹 Context-aware processing: AI will better understand real-world context, combining visual, audio, and textual cues to offer smarter responses and predictions. 🔺 Advances in Explainability and Trust 🔹 Regulatory frameworks: With stricter AI regulations on the horizon, model explainability and audibility will become core requirements, especially in finance, healthcare, and government. 🔹 AI “nutrition labels”: Standardized ways of conveying model biases, training datasets, and reliability will help build user trust and improve transparency. 🔺 Edge and On-Device AI 🔹 Lower latency, better privacy: More powerful AI models will run directly on phones, wearables, and IoT devices, reducing dependence on the cloud for tasks like speech recognition, image processing, and anomaly detection. 🔹 Specialized hardware: Continued investment in AI accelerators, TPUs, and neuromorphic chips will enable high-performance AI at the edge. 🔺 Human-AI Teaming and Augmented Decision-Making 🔹 Decision intelligence platforms: AI will shift from purely providing recommendations to working interactively with humans to explore complex problems—reducing cognitive load, but keeping humans in the loop. 🔹 Collaborative coding and content creation: AI co-pilots will expand from code generation and text drafting to more sophisticated collaboration, shaping design, research, and strategic planning. 🔺 Rapid Growth of AI as a Service (AIaaS) 🔹 “No-code” and “low-code” tools: Tools that allow non-technical users to deploy custom AI solutions will proliferate, lowering barriers to entry and accelerating adoption across industries. 🔺 Emphasis on Ethical and Responsible AI 🔹 Bias mitigation: Tools and techniques to detect and reduce bias will grow more advanced, spurred by public scrutiny and regulatory demands. 🔹 Standards for accountability: Organizations will create ethics boards and formal guidelines to ensure AI alignment with corporate values and social responsibility. 🔺 Quantum Computing Experiments 🔹 Hybrid quantum-classical models: Though still early-stage, breakthroughs in quantum hardware could lead to specialized quantum-assisted AI algorithms.

Reviewing CB Insights' 2025 Tech Trends data — these big shifts caught my eye: *Cost to reach orbit now 1/8th of what it was in 2008. Y Combinator is actively calling for more #spacetech startups. Watch the proliferation of satellites and geospatial use cases across defense, environmental monitoring like wild fires, and more. The world changed big time when we all got sensors in our pocket – smartphones. What happens when we wrap earth in sensors? *US dominating the AI race — now taking 71 cents of every AI funding dollar globally, up from 61 cents in 2020. But don’t count out regional hubs in Europe and Asia. *Traditional data centers can't keep up with #AI demand. We're tracking $1T+ in upcoming infrastructure spending. Big tech companies like Meta and Google are becoming major energy innovators to support their AI workloads. *Financial services at an inflection point — wealth managers trying "cyborg advisors", payment rails adapting for AI agents (Stripe, Coinbase leading here), and stablecoins gaining ground with Stripe's $1.1B Bridge acquisition. *Disease management enters a new phase with AI. Startups are building testing and screening solutions to detect diseases earlier, even before symptoms appear. Watch their scaling commercial networks with leaders like Mayo Clinic. The common thread? AI is forcing massive infrastructure buildout across sectors. Companies that invest early and smartly in these capabilities will likely pull ahead. Deep dive on these trends in the comments. Where do you see the biggest opportunity?

🚀 McKinsey & Company Tech Trends 2025: What Business Leaders Must Know Now. The future is arriving faster than expected—and AI is at the core of it. McKinsey’s Technology Trends Outlook 2025 is a must-read for executives, founders, and technologists looking to stay ahead. The report evaluates 15 breakthrough technologies based on adoption, investment, talent availability, and real-world momentum. Here are the key insights and strategic takeaways 👇 🔮 1. #AI is the Central Force AI is not just one of many trends—it’s a foundational technology driving others. From developer productivity to robotics, AI is now integrated across industries and functions. Use cases have matured beyond experimentation into real-world value creation. 🧠 2. Generative & Agentic AI: From Tools to Teammates Generative AI continues to surge, but Agentic AI —tools that can reason and take action autonomously—is emerging as the next frontier. These systems will move from responding to prompts to completing tasks, triggering a shift in business automation. ⚙️ 3. Next-Gen Software Development AI-assisted development environments are accelerating time-to-code and shifting how engineering teams function. Companies investing here are cutting product cycles by up to 30%, according to McKinsey insights. 📡 4. Advanced Connectivity Fuels Edge Innovation With maturing 5G, low-Earth-orbit satellites, and edge computing, advanced connectivity is unlocking real-time applications across manufacturing, logistics, and smart infrastructure. This isn't future-talk—deployment is accelerating now. 🔬 5. Applied AI in Real Operations AI-powered vision systems, robotics, and simulation tools are already optimizing everything from warehousing to agriculture. What’s new? These tools are being used at scale, not just in pilot programs. 📊 6. Trust Architecture & Responsible AI As AI grows more autonomous, McKinsey emphasizes trust architecture—governance, risk controls, and ethical design must evolve in tandem. Regulation is coming fast. Companies that prepare early will lead with confidence. 🌱 7. Sustainable Tech: From Buzzword to Bottom Line Tech is finally aligning with sustainability goals. Energy-efficient compute, circular hardware design, and green cloud are becoming investment priorities, not side projects. 💡 Leadership Takeaways ✅ Embed AI as a horizontal strategy, not a vertical investment ✅ Invest in next-gen developer tools to stay agile ✅ Build or upskill talent to lead agentic workflows ✅ Establish clear AI governance frameworks early ✅ Use advanced connectivity to optimize operations ✅ Don’t overlook trust, ethics, and sustainability—they are competitive differentiators. #McKinsey #AI #TechTrends2025 #AgenticAI #DigitalTransformation #FutureOfWork #TrustInTech #GenerativeAI #Sustainability #AILeadership #TechStrategy #BusinessInnovation 🤖📈🌐💼

Accenture launched the “Technology Vision 2025” report at #CES last week. The report emphasizes the transformative potential of #AI, likening it to the #digital #revolution. Trust in AI is highlighted as a critical factor for AI’s success and widespread adoption. Quick report summary: Key Trends 1. The Binary Big Bang: * AI’s Expansion: AI is set to redefine technology systems, pushing the limits of software and programming. * Abundance, Abstraction, Autonomy: These are identified as the pillars of future technology, driving digital innovation and customization. 2. Your Face, in the Future: * AI Personality: The importance of imbuing AI with brand personality to avoid generic customer experiences. * Customer Engagement: AI can enhance customer relationships by providing personalized and consistent interactions. 3. When LLMs Get Their Bodies: * Robotics Evolution: Foundation models are transforming robots into versatile, reasoning machines. * Generalist Robots: The rise of robots that can perform a wide range of tasks in human environments. 4. The New Learning Loop: * AI and Workforce: Generative AI can enhance employee skills and engagement, creating a virtuous cycle of learning and innovation. *Employee Autonomy: Empowering employees with AI tools to drive innovation from the ground up. 5. Conclusion * Future of AI: The report envisions a future where AI is deeply integrated into all aspects of business and society, driving unprecedented growth and innovation. * Building Trust: Establishing trust in AI systems is crucial for realizing their full potential and ensuring they are used responsibly and effectively. https://lnkd.in/gCVkYPit

𝐌𝐢𝐝-𝟐𝟎𝟐𝟓 𝐌𝐢𝐥𝐞𝐬𝐭𝐨𝐧𝐞: 𝐀𝐈 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐌𝐨𝐯𝐞𝐬 𝐟𝐫𝐨𝐦 𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 According to #IBM’s “5 Trends for 2025” report, leaders are now scaling innovation and empowering teams to unlock AI’s full potential. 🔹𝐊𝐞𝐲 𝐒𝐡𝐢𝐟𝐭𝐬 𝐢𝐧 𝐀𝐈 𝐀𝐝𝐨𝐩𝐭𝐢𝐨𝐧  👉AI is moving from experimentation to execution ▪46% of executives say their organizations are scaling AI this year, focusing on optimizing existing processes and systems. ▪44% are using AI for innovation, driving new opportunities and business models. ▪Only 6% of organizations are still in the experimentation phase, down sharply from 30% just a year ago.  👉AI is now a core driver of business transformation ▪85% of executives believe AI is enabling business model innovation. ▪89% say AI is driving product and service innovation. 🔹𝐇𝐨𝐰 𝐋𝐞𝐚𝐝𝐞𝐫𝐬 𝐀𝐫𝐞 𝐏𝐮𝐬𝐡𝐢𝐧𝐠 𝐓𝐞𝐚𝐦𝐬 𝐅𝐨𝐫𝐰𝐚𝐫𝐝  👉Empowering people at every level ▪Democratizing decision-making so teams can act quickly and effectively. ▪Providing robust tools, training, and support for employees to succeed with AI.  👉Fostering a culture of innovation ▪Leaders are redefining leadership by delegating more decisions as AI augments roles across the organization. ▪Teams are encouraged to rethink workflows and deploy AI agents in new ways to boost performance.  👉Strategic support for teams ▪Implementing strong security and governance as AI becomes more embedded in operations. ▪Leveraging data-driven decision support for smarter, faster choices. 🔹𝐓𝐡𝐞 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐂𝐚𝐬𝐞 𝐟𝐨𝐫 𝐀𝐈 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧  👉AI is now a business imperative ▪68% of CEOs say AI is changing core aspects of their business. ▪61% believe competitive advantage depends on having the most advanced generative AI. ▪64% of leaders see automation’s productivity gains as essential to staying competitive.   👉Bold investment and risk-taking ▪62% of leaders invest in new technologies before fully understanding their value, determined not to fall behind. ▪The winners are balancing experimentation with strategic, incremental innovation. 🔹𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐒𝐭𝐞𝐩𝐬 𝐋𝐞𝐚𝐝𝐞𝐫𝐬 𝐀𝐫𝐞 𝐓𝐚𝐤𝐢𝐧𝐠  👉Talent and skills ▪Rethinking talent strategies—people are the most important tech investment. ▪Focusing on targeted training, upskilling, and making AI proficiency a must-have.  👉Technology and data ▪Building integrated, enterprise-wide data architectures for cross-functional collaboration. ▪Using proprietary data to unlock the full value of generative AI. The organizations that will win are those where leaders empower their people, invest in skills, and foster a culture where AI-driven innovation thrives. 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/gRNGWqNQ #AI #DigitalTransformation #GenerativeAI #GenAI #Innovation  #ArtificialIntelligence #ML #ThoughtLeadership #NiteshRastogiInsights 

Our latest Tech Trends 2025 report reveals the extent to which #AI is being woven into the fabric of our lives. The future of #technology isn’t so much about "more AI" as it is about "ubiquitous AI"! Dive deeper into the 6 chapters: 💡 Spatial computing takes center stage What is the future of spatial computing? With real-time simulations as just the start, new, exciting use cases can reshape industries ranging from health care to entertainment. 💡 What’s next for AI? While large language models continue to advance, new models and agents are proving to be more effective at discrete tasks. AI needs different horses for different courses. 💡 Hardware is eating the world The AI revolution will demand heavy energy and hardware resources—making enterprise infrastructure a strategic differentiator once again 💡 IT, amplified: AI elevates the reach (and remit) of the tech function As the tech function shifts from leading digital transformation to leading AI transformation, forward-thinking leaders are using this as an opportunity to redefine the future of IT 💡 The new math: Solving cryptography in the age of quantum Quantum computers are likely to pose a severe threat to today’s encryption practices. Updating encryption has never been more urgent. 💡 The intelligent core: AI changes everything for core modernization For years, core and enterprise resource planning systems have been the single source of truth for enterprises’ systems of records. AI is fundamentally challenging that model. Deloitte #DeloitteAI