Current Buzzwords in Tech (May, 2025)

Generative AI (GenAI)

AI’s ability to create new content like text, images, audio, and code, increasingly integrated into various applications.

• Details: Advancements in models, multimodal capabilities, ethical considerations (deepfakes, copyright).
• Links: OpenAI Research Google AI DeepMind

Large Language Models (LLMs)

Powerful AI systems behind GenAI, trained on vast text data for understanding and generating human-like text.

• Details: Focus on efficiency, accuracy, control, specialized Micro LLMs, enterprise data accessibility.
• Links: Google AI Language Hugging Face

Agentic AI

AI agents that autonomously plan and execute tasks to achieve user goals, moving beyond simple interactions.

• Details: Applications in robotics, autonomous vehicles, virtual assistants, complex workflow automation.
• Links: Gartner Top Tech Trends 2025 Google Scholar Search “Agentic AI”

AI Governance Platforms

Platforms for managing the ethical, legal, and operational performance of AI systems.

• Details: Establishing and enforcing policies for responsible AI development and deployment.
• Links: Gartner on AI Governance Forrester on AI

Ambient Invisible Intelligence

AI working quietly in the background, making technology smarter and more intuitive without explicit interaction.

• Details: Seamless integration into everyday objects and environments, anticipating user needs.
• Links: (Search for recent articles and research on “Ambient Intelligence” and “Invisible AI”)

AI Trust, Risk, and Security Management (AI TRiSM)

Framework for ensuring the reliability and responsible use of AI systems, addressing bias, security, and performance.

• Details: Focus on building trustworthy and secure AI deployments.
• Links: Gartner on AI TRiSM (Requires Subscription) (Search for public resources on “AI TRiSM frameworks”)

Quantum Computing

Leveraging quantum mechanics to solve complex problems beyond classical computers.

• Details: Advancements in hardware and algorithms, applications in drug discovery, materials science, cryptography, Quantum as a Service (QCaaS).
• Links: IBM Quantum Google Quantum AI AWS Braket

Post-Quantum Cryptography (PQC)

Developing cryptographic systems resistant to attacks from quantum computers.

• Details: Migration of cryptographic systems to quantum-resistant standards.
• Links: (Search for “Post-Quantum Cryptography NIST” for standardization efforts: NIST PQC Announcement)

Neuromorphic Computing

Mimicking the brain’s architecture for efficient parallel processing, especially for AI tasks.

• Details: Brain-inspired hardware for AI acceleration.
• Links: (Search for research on “Neuromorphic Computing” from Intel, IBM, and universities)

Hybrid Computing

Combining different computing resources (CPUs, GPUs, accelerators, edge, quantum, cloud, on-premise) for optimal performance and cost.

• Details: Strategic allocation of workloads across diverse computing infrastructure.
• Links: (Search for “Hybrid Cloud Computing Trends” and “Heterogeneous Computing Architectures”)

Edge Computing

Processing data closer to its source (IoT devices, autonomous vehicles) to reduce latency and improve reliability.

• Details: Distributed computing for real-time applications.
• Links: IBM on Edge Computing Red Hat on Edge Computing

Spatial Computing

Blending the physical and digital worlds through AR, VR, and MR.

• Details: Evolution beyond gaming into education, training, retail, industrial applications, advancements in AR glasses and VR headsets.
• Links: (Search for market reports on “Spatial Computing” from IDC, Gartner, etc.) Metaverse Platforms (Meta)

Virtual Reality (VR) 2.0

Focus on more immersive and realistic VR experiences through AI-powered personalization and improved haptics.

• Details: AI-driven content generation and enhanced sensory feedback in VR.
• Links: (Search for advancements in “AI-powered VR” and “Haptic Feedback Technology”)

Augmented Reality (AR)

Digital overlays enhancing the real world on smartphones, tablets, and dedicated AR glasses.

• Details: Increasing integration into consumer and enterprise applications.
• Links: (Search for “Enterprise AR Applications” and “Consumer AR Trends”)

Sustainable Technology / Green Computing

Developing and using technology in an environmentally responsible way.

• Details: Energy-efficient hardware, green data centers, carbon-neutral initiatives.
• Links: (Search for “Green Computing Initiatives” and “Sustainable IT Practices”)

AI Ethics

Ensuring AI systems are developed and used ethically, addressing bias, fairness, transparency, and accountability.

• Details: Development of ethical guidelines and frameworks for AI.
• Links: Google AI Principles OpenAI Safety Approach

5G and Beyond

Continued rollout of high-speed, low-latency 5G networks and early discussions of 6G.

• Details: Enabling advancements in IoT, autonomous vehicles, and real-time applications.
• Links: (Search for “5G Network Rollout Status” and “6G Research”)

Nuclear Power for AI Infrastructure

Exploring clean and reliable energy sources like nuclear power to meet the massive energy demands of AI.

• Details: Addressing the sustainability challenges of large-scale AI deployments.
• Links: (Search for discussions and reports on “Nuclear Energy for Data Centers” and “AI Energy Consumption”)

Polyfunctional Robots

Robots capable of performing multiple tasks and seamlessly switching between them.

• Details: Increased efficiency and ROI in warehousing and manufacturing.
• Links: (Search for “Polyfunctional Robotics Applications”)

Advanced Robotics

Integrating AI into robots to enable more complex tasks, autonomous interaction, and adaptation.

• Details: AI-powered perception, planning, and control in robots.
• Links: Boston Dynamics (Example of advanced robotics)

Blockchain

Distributed ledger technology explored for secure data storage, supply chain, digital identity, and dApps.

• Details: Focus on real-world applications beyond cryptocurrency hype.
• Links: IBM on Blockchain

Decentralized Finance (DeFi)

Financial services built on blockchain technology, aiming for transparency and accessibility.

• Details: Regulatory landscape and real-world adoption challenges.
• Links: (Search for “Decentralized Finance (DeFi) Explained”)

Digital Twins

Virtual representations of physical assets for simulation and optimization.

Hyperautomation

Combining various automation technologies (including AI and RPA).

Cybersecurity Developments

AI in cybersecurity, Zero Trust security models.

Digital Transformation

Using technology to fundamentally change business operations.

Unifying and managing data across distributed systems.

Low-Code/No-Code Development

Platforms for building applications without extensive coding.