The global technology landscape is undergoing significant shifts, propelled by fast-moving innovations in technologies from robotics and AI to quantum technologies, exponentially increasing demand for computing power, and growing interest and early experimentation. These developments are occurring against a backdrop of rising global competition as countries and corporations race to secure leadership in producing and applying these critical technologies.

This year’s McKinsey Technology Trends Outlook provides in-depth perspectives on 13—a “baker’s dozen”—frontier technology trends with the potential to transform global business. Executives today face a mandate to navigate rising complexity, scale emerging solutions, and build trust in a world where the lines between digital and physical and centralized and decentralized continue to blur. The insights in this report can help business leaders decide which of these frontier technologies are most relevant to their companies by demonstrating how others are starting to apply these technologies. These findings emerge from our analysis of quantitative measures of interest, innovation, equity investment, and talent that underpin each of the 13 trends and explore the underlying technologies, uncertainties, and questions around them. (For more about our research, please see the sidebar, “Research methodology.”)

This outlook highlights transformative trends that are driving innovation and addressing critical challenges across sectors. Artificial intelligence stands out not only as a powerful technology trend on its own but also as a foundational amplifier of the other trends. Its impact increasingly occurs in combination with other trends, as AI both accelerates progress within individual domains and unlocks new possibilities at the intersections—accelerating the training of robotics, advancing scientific discoveries in bioengineering, optimizing energy systems, and much more. The evolution of AI solutions in the marketplace combines aspects of trends we previously analyzed separately as applied AI and generative AI, so this year, they are examined together.

Even as excitement about AI applications and their use cases builds, realizing AI’s full potential across sectors will require continued innovations to manage computing intensity, reduce deployment costs, and drive infrastructure investment. This will also demand thoughtful approaches to safety, governance, and workforce adaptation, creating a wide frontier of opportunities for industry leaders, policymakers, and entrepreneurs alike.

New and notable

In addition to the growing reach of AI, another new trend we have chosen to highlight in this year’s report is agentic AI, which has rapidly emerged as a major focus of interest and experimentation in enterprise technology. Agentic AI combines the flexibility and generality of AI foundation models with the ability to act in the world by creating “virtual coworkers” that can autonomously plan and execute multistep workflows. Although quantitative measures of interest and equity investment levels are as yet relatively low compared with more established trends, agentic AI is among the fastest growing of this year’s trends, signaling its potentially revolutionary possibilities.

AI is also the primary catalyst for another trend we highlight this year: application-specific semiconductors. While Moore’s Law and the semiconductor layer of the technology stack have long been key enablers of other tech trends, innovations in semiconductors have spiked as reflected in quantitative metrics such as number of patents and other measures. These innovations have come in response to exponentially higher demands for computing capacity, memory, and networking for AI training and inference, as well as a need to manage cost, heat, and electric power consumption. This has given rise to a slew of new products, new competitors, and new ecosystems.

Technology trends also have a variety of profiles along the dimensions we analyzed. AI is a widely applicable trend with use cases in every industry and business function—and thus lots of innovation and interest—and it is scaling rapidly across the business landscape. Quantum technologies have a different profile. Quantum computing has the potential for transformative impact in certain domains, such as cryptography and material science, and the technology is gaining traction. Recent announcements, particularly by technology giants, have sparked increased interest, but real-world business impact will require even more technology advancements to make quantum computing practical. Other trends and subtrends vary across the multiple dimensions we analyzed, offering different approaches—from watchful waiting to aggressive deployment—to business leaders depending on their industries and competitive positions.

From the rise of robotics and autonomous systems to the imperative for responsible AI innovations, this year’s technology developments underscore a future where technology is more adaptive, collaborative, and integral to solving global problems. This is illuminated by themes that cut across trends this year:

• The rise of autonomous systems. Autonomous systems, including physical robots and digital agents, are moving from pilot projects to practical applications. These systems aren’t just executing tasks; they’re starting to learn, adapt, and collaborate. Autonomy is moving toward broad deployment, whether through coordinating last-mile logistics, navigating dynamic environments, or acting as virtual coworkers, among other skills.
• New human–machine collaboration models. Human–machine interaction is entering a new phase defined by more natural interfaces, multimodal inputs, and adaptive intelligence. From immersive training environments and haptic robotics to voice-driven copilots and sensor-enabled wearables, technology is becoming more responsive to human intent and behavior. This evolution is shifting the narrative from human replacement to augmentation—enabling more natural, productive collaboration between people and intelligent systems. As machines get better at interpreting context, the boundary between operator and cocreator continues to dissolve.
• Scaling challenges. The surging demand for compute-intensive workloads, especially from gen AI, robotics, and immersive environments, is creating new demands on global infrastructure. Data center power constraints, physical network vulnerabilities, and rising compute demands have exposed cracks in global infrastructure. But the challenge isn’t just technical: Supply chain delays, labor shortages, and regulatory friction around grid access and permitting are slowing deployments. As a result, scaling now means solving not only for architecture and efficiency but also for the messy, real-world challenges in logistics, policy, and execution.
• Regional and national competition. Global competition over critical technologies has intensified. Countries and corporations have doubled down on sovereign infrastructure, localized chip fabrication, and funding national quantum programs. This push for self-sufficiency isn’t just about security; it’s about reducing exposure to geopolitical risk and owning the next wave of value creation. The result is a new era of tech-driven sovereignty where nations compete to lead in critical industries.
• Specialized solutions catalyzing new ecosystems. While cloud computing increases, competition in AI semiconductors and application-specific software stacks is also ramping up, coupled with interest in deploying more capabilities toward the edge. Specialized AI chips; a proliferation of larger, general-purpose models; and the development of efficient, vertical AI models are creating fragmented but tailored ecosystems. Leaders will balance centralized scale with localized control: Think modular microgrids for clean energy or bespoke robotics for niche manufacturing.
• Responsible innovation imperatives. As technologies become more powerful and more personal, trust is increasingly the gatekeeper to adoption. Companies face growing pressure to demonstrate transparency, fairness, and accountability, whether in AI models, gene editing pipelines, or immersive platforms. Ethics are no longer just the right thing to do but rather strategic levers in deployment that can accelerate—or stall—scaling, investment, and long-term impact.

The following illustrations show how different frontier technologies can work together to provide innovative solutions in the future:

After a year in which the macroeconomic environment and broader market weakness provoked significant declines in equity financing for technology across several of our trends, the investment climate for frontier technologies stabilized and, in many cases, rebounded in 2024. Levels of equity investment in trends such as cloud and edge computing, bioengineering, and space technologies increased despite the broader market dip in 2023, while investments in other trends, such as AI and robotics, dipped only to recover to higher levels in 2024 than they achieved two years prior. The two trends with the highest levels of equity investment, the future of energy and sustainability technologies and the future of mobility, declined overall in 2023, but the former bounced back in 2024 (exhibit).

Our baker’s dozen of technology trends shaping 2025 underscores the vast potential of emerging technologies and the need for strategic alignment in an AI-powered future. For executives, success will hinge on identifying high-impact domains in which they can apply these trends, investing in the necessary talent and infrastructure, and addressing external factors like regulatory shifts and ecosystem readiness. By fostering collaboration, bridging ecosystem gaps, and maintaining a long-term vision, leaders can accelerate adoption and position their organizations to drive the next wave of technological transformation. Those who act with focus and agility will not only unlock new value but also shape the future of their industries and the future of today’s emerging frontier technologies.