By 2028, genetic engineering and advanced gene therapies will routinely be utilized to treat a wide variety of human diseases, catalyzed by rapid breakthroughs in artificial intelligence. This milestone is just one of many anticipated projections highlighted in the newly released 2030 Technology Megatrends Report published by the IEEE, a globally recognized organization dedicated to advancing technology for the benefit of humanity.
The comprehensive global study underscores a profound evolution in how modern technology matures and impacts society. According to IEEE Fellow Dejan Milojicic, chair of the IEEE Future Directions Committee’s Industry Advisory Board—the group responsible for spearheading the report—artificial intelligence is breaking out of isolated digital environments to embed itself directly into physical systems, energy grids, and critical global infrastructure. Milojicic, who also serves as a vice president at HPE Labs in Milpitas, California, and is a Hewlett Packard Enterprise Fellow, emphasizes that AI is no longer operating in a vacuum. Instead, it is becoming foundational to everyday human existence.
To compile the ambitious 2030 report, 166 distinguished experts from 38 countries across six distinct continents collaborated. Representing industry, academic institutions, and government sectors, these professionals successfully identified 30 breakthrough technologies categorized under five overarching "megatrends": artificial intelligence, energy, health, space, and physical AI. These megatrends represent broad, interconnected technological shifts with the potential to fundamentally reshape industries and daily life for decades to come. Each trend was evaluated against five rigorous criteria: likelihood of technical success, overall impact to humanity, technology maturity, market adoption, and the anticipated horizon to widespread adoption.
AI as a Common Thread and Infrastructure Backbone
At the core of the report’s findings is the concept that interconnected systems are driving future technological evolution, with artificial intelligence serving as the vital thread connecting them all. The IEEE report notes that AI technology is advancing at a velocity unmatched by any previous historical revolution, outstripping the sweeping changes seen during the industrial, electrical, and digital revolutions. This blistering pace has quickly transformed AI into a form of general-purpose infrastructure.
However, this rapid maturation is not without serious challenges. The report’s authors caution that critical bottlenecks—specifically the scarcity of sufficient computing hardware, data centers, and reliable energy sources—will heavily constrain the ability to scale up AI systems globally. Furthermore, the widespread integration of automated intelligence will inevitably necessitate a massive reshaping of the global workforce.
While workers have continuously adapted to economic and technological shifts throughout history to remain competitive, Milojicic points out that enterprise adoption of AI should not be viewed as an all-or-nothing proposition. Rather, businesses must carefully strategize when and how to deploy these tools effectively. Achieving long-term success will require an acute balancing act between advancing technical capabilities and nurturing the human-AI relationship. Key considerations such as operational trust, data security, system explainability, and thoughtful policymaking will ultimately determine which AI-supported applications successfully scale across society.
Mary Ellen Randall, the 2026 IEEE president and CEO, noted in an official news release that the report effectively shifts the global conversation toward how these various technological advances will intersect to shape everyday human lives. She emphasized that the data makes it unequivocally clear that trust, safety, and genuine human connection must guide every major technological breakthrough in the decade ahead.
Health Care Emerges as a High-Impact Bet
Among the diverse categories evaluated by the panel of international experts, personalized medicine emerged as the study’s highest-impact technology, scoring an impressive 4.93 out of 5 for its potential to radically improve human longevity and well-being. The report attributes this soaring potential to AI-driven breakthroughs in personalized diagnostics and therapeutic treatments, largely pioneered by innovative biotechnology startups.
Within the next two years, the panel predicts that genetic engineering and targeted gene therapies will transition from experimental trials into routine therapeutic areas. Looking further ahead to a five-year horizon, proactive disease diagnoses are projected to move out of specialized research laboratories and firmly into day-to-day medical practice. Additionally, researchers are expected to achieve the capability to manufacture simple synthetic proteins—molecules engineered entirely from scratch rather than sourced from nature—designed to perform highly specific bodily functions, such as targeting malignant tumors or supplementing missing vital enzymes.
Energy Sector Faces Urgent Demands from AI Infrastructure
The unprecedented power demands required to fuel modern artificial intelligence are currently outpacing the energy sector’s traditional ability to keep pace. Global technology infrastructure, including massive data centers, complex telecommunications networks, and heavy computing hardware, already consumes an estimated 10 percent of all electricity generated worldwide. To address this mounting pressure, experts predict that energy storage capacities in developed countries will double within the next two to three years.
Milojicic observes that the broader energy industry has remained relatively dormant for many years, experiencing very few foundational innovations since the pioneering eras of Thomas Edison and Nikola Tesla. Modern data centers possess the ability to ramp up electrical loads within milliseconds, yet the traditional power and energy sector often requires months or even years to scale up corresponding generation capacity. Consequently, governments worldwide will be forced to fundamentally rethink their approaches to power generation to stay safely ahead of escalating demand.
The report also highlights the Jevons paradox—the economic principle stating that technological improvements in efficiency tend to increase, rather than decrease, overall resource consumption. As the energy efficiency of AI microchips continues to improve, organizations will naturally deploy larger amounts of hardware to build increasingly massive frontier models. As a result, data centers are projected to draw as much electricity as local power grids can possibly supply, leaving virtually no surplus for other civic or industrial needs.
Physical AI Drives Rapid Automation
Physical AI represents systems embedded directly within machines that possess the ability to sense and physically interact with the world around them, encompassing advanced robotics and autonomous vehicles. Initially categorized in the report under the broader heading of "hyper-automation and robotics"—a software-driven process automation paired with physical hardware—the Industry Advisory Board eventually consolidated these concepts into a single physical AI megatrend.
According to the expert panel, human-AI interaction boasts the shortest adoption horizon of any of the 30 scored technologies, estimated at just two to three years. Furthermore, physical AI was judged to possess the highest probability of profound technical advancement over the next four years. Smarter, highly efficient robots are anticipated to substantially cut down energy consumption within the next two years alone.
Communications between humans and AI agents—whether operating through an android chassis or another smart device—will rapidly pivot away from traditional text-based commands toward predominantly audio and video instructions within a two-to-three-year window. Furthermore, industrial androids deployed in manufacturing environments are projected to incorporate advanced tactile and haptic feedback capabilities within two to five years. This will allow machines to accurately sense what they are touching and dynamically adjust their physical grip or applied force in response. Parallel advancements in bio-inspired skin, synthetic tissues, and specialized sensors will mature along the same timeframe, granting robots a level of physical perception that closely mirrors human touch.
Space Technology Prepares for Expansion
As defined by the IEEE report, space technology encompasses far more than planetary exploration and rocketry. It spans critical domains including satellite communications, in-flight manufacturing, advanced launch systems, and orbital infrastructure. Although it currently ranks as one of the lower-profile megatrends in the study, this position reflects its current state of market maturity rather than any lack of underlying promise.
Milojicic notes that while satellite communication receives substantial public attention today because it is practical and widely discussed, it remains a relatively small segment compared to the astronomical interest surrounding terrestrial AI. However, he remains confident that the aerospace sector will command significantly more prominence in the coming years as terrestrial communication and transportation boundaries inevitably extend outward into space.
The report highlights two critical technologies sitting on the near horizon: semiconductor manufacturing utilizing specialized components built in low-Earth orbit, and the wider commercialization of more affordable, reusable rockets. Over the next decade, the study also encourages industry watchers to keep a close eye on the potential development of clean energy generation in space and the commercial viability of orbital space debris collection.
Recommendations for a Sustainable Future
To successfully navigate this coming wave of innovation, the IEEE report strongly recommends deep, collaborative partnerships across academia, private industry, governments, and professional engineering associations. To build and maintain a well-trained global workforce, industry leaders must collaborate with professional societies to establish robust training programs and revive formal apprenticeships in foundational physical sciences like chemistry and physics. Businesses are similarly urged to treat their foundational AI assets—including computing hardware, clean data, and reliable energy—as long-term strategic investments.
Additional recommendations include expanding broad access to affordable, high-quality education focused on STEM coursework and AI literacy. Governments are encouraged to spearhead forward-thinking policies and implement effective reintegration programs designed specifically to support workers displaced by automation. Meanwhile, professional bodies like the IEEE are tasked with developing new AI-driven tools, strengthening rigorous safety and data governance standards, and acting as neutral collaboration platforms for industry, academia, and policymakers alike.
The underlying philosophy connecting every recommendation in the report remains steadfast: humanity must never lose sight of the vital human-AI relationship. Sophia A. Muirhead, IEEE executive director and chief operating officer, emphasized this principle in the organization’s official announcement, noting that as a public charity dedicated to advancing technology for the betterment of humanity, true progress must be measured by far more than raw development speed and implementation metrics. Whether retraining the global workforce or responsibly weaving artificial intelligence into the fabric of daily life, the ultimate success of these megatrends will depend entirely on ensuring that ongoing innovation serves to strengthen human well-being and safeguard public trust.
