Gartner analysts, using a “surfer” analogy to navigate innovation waves, spotlight six key technology trends grouped into three core themes focusing on AI, new computing paradigms, and human-machine interaction.
At the Gartner IT Symposium/Xpo, analysts presented the Top Strategic Tech Trends for 2025, framing the rapid pace of innovation as a series of waves that organizations must decide to “ride.” The list, compiled after reviewing over 2,000 Innovation profiles from the Gartner Hype Cycles and consulting more than 2,500 analysts, is clustered around three foundational themes, or “beaches”: AI Risk and Imperatives, New Frontiers of Computing, and Human Machine Synergy. The overarching goal uniting these trends is the pursuit of responsible, ethical, and trusted technology implementation. These trends are projected to shape the future, with timeframes ranging from the immediate (now/near-term) to the future (five years and beyond).
Theme 1: AI Imperatives Demand New Governance and Security
The first major theme focuses on the immediacy and risk associated with artificial intelligence, categorized into three strategic trends.
Agentic AI (Now to Two to Three Years)
The deployment of Agentic AI, which builds on previous keynote concepts, is projected to hit full force within two to three years. This technology is characterized by its ability to plan, sense, make decisions, and monitor. A speaker noted the significant operational benefits: “Agents are employees that never need benefits, they don’t call it sick, they work 24 hours a day” .
- Impact on Work: Agents can perform tasks that are often mundane, and crucially, can upskill the existing workforce. An example cited was an employee named Ula who “was able to become productive in less than six months and have the equal productivity of somebody with five years”. This capability can also enable new concepts of scale and create “new co-workers,” likened to Tony Stark and his AI assistant Jarvis.
- Shadow IT Risk: Analysts warned that agents are “not the next generation of RPA” but rather the next generation of Shadow IT, as developers may build and deploy agents (e.g., one that “monitors all of our critical infrastructure”) without organizational awareness.
AI Governance Platforms (Two to Four Years)
To manage this new AI-driven workforce, AI Governance Platforms are necessary within the next two to four years. These platforms are critical for mitigating risks such as privacy being broken, discrimination due to bias, and manipulation of markets. A core function is establishing trust through transparency, requiring visibility into the data and algorithms used to train models and how prompts generate specific answers.
- Mandates: These platforms will ensure the AI serves everyone equally by enabling checks for bias during application or agent development. Analysts stressed that “Responsible AI will be as standard as cyber security and just as critical”. Organizations must also guard against “ethics washing,” where a policy is written without the tools to prove or implement it.
Disinformation Security (One to Three Years)
Disinformation security, happening in the next one to three years, has become a critical concern, worsened by AI. The technology has made phishing attacks “so good” they can bypass controls. This emerging category involves technologies aimed at discerning trust and assessing the truth of information.
- The Pandora’s Box: AI has given red team hackers the ability to create video, audio, and imagery—often referred to as deep fakes—that are so convincing they can bypass biometric controls and compromise real-time communications.
- Mitigation: Solutions include deep fake identification tools, synthetic media tools, and impersonation prevention tools, such as a watermark to authenticate speakers: “This is the real Gene Alvarez. We’ve authenticated that”. This is deemed a “team sport” that requires cooperation between the business (e.g., marketing detecting dropping sentiment analysis) and cyber security.
Theme 2: New Frontiers of Computing Reshape Core IT Infrastructure
The second theme addresses fundamental shifts in computing hardware and algorithms necessary to sustain innovation.
Postquantum Cryptography (Timeline Not Specified, but Urgent)
Postquantum Cryptography is presented as a challenge that “will be bigger than Y2K” because Quantum Computing has the potential to break every asymmetric encryption method currently used by every application reaching the web.
- The Threat: The “Harvest now and decrypt later” scenario describes hackers gathering encrypted data now and storing it, “waiting for Quantum to come along to be able to unencrypt it”.
- The Solution: This is a set of algorithms designed to resist attacks from both classical computers and quantum computers. This transition is not a “simple patch” but requires a full inventory of all encryption use, a move to a crypto agile approach, and budget allocation for 2025.
Ambient Invisible Intelligence (Tags Hit 10 Cents in Five Years)
This trend redefines the initial promise of RFID. New tags are now low-priced, paper-thin, and capable of charging themselves using ambient radio frequency. This enables new concepts of large-scale tagging and tracking, leading to a “world of smart everything”.
- Applications: It provides real-time inventory for millions of items in industries like retail, food production, and warehousing. An example included monitoring the temperature of ice cream through the supply chain to catch a “nefarious truck driver” who raises the temperature to save fuel.
- Adoption: Organizations should start looking for opportunities when tags hit 20 cents, anticipating a drop to 10 cents in the next five years.
Energy Efficient Computing (Current Demand is Unsustainable)
With computing demand “through the roof,” the rising power consumption driven by AI, simulation, optimization, and media is currently unsustainable. Pressure from executives, regulators, partners, and customers is forcing IT to reduce its carbon footprint.
- Solutions: Incremental improvements are insufficient. Short-term actions include adopting Green Cloud, rewriting algorithms to prioritize energy savings over space savings, and shifting compute load to different times of the day. Long-term, organizations should pilot technologies like Optical computing, Morphic Computing, and other novel accelerators that offer 10x or 100x improvement for big-ticket items like AI.
Conclusion
Gartner’s analysis presents a future defined by radical technological change that requires proactive and immediate investment. The implications of these trends are far-reaching, demanding a systemic move toward digital responsibility. Organizations are urged to begin the challenging work of inventorying their encryption use, budgeting for postquantum upgrades in 2025, and piloting novel accelerators to address the energy crisis. Ultimately, successfully navigating these “waves of innovation” requires a holistic, team-based approach to ensure that new technological capabilities remain ethical, trusted, and sustainable.
