Part I. Generative AI and Conversational AI

1. Major Model Launches and Updates

2. AI Model Market Competition

As of late February, Anthropic maintains a dominant lead with an 84% probability of holding both 1st and 2nd place in AI model rankings. OpenAI has shifted its strategy, conceding general-purpose AI leadership to focus on a 76% dominance in coding-specialized domains. Market participants anticipate a Big Three structure of Anthropic-Anthropic-Google, while OpenAI faces the possibility of falling out of the top three despite its $500 billion valuation and massive user base.

3. Agentic AI and MCP Standardization

The Model Context Protocol (MCP) developed by Anthropic is rapidly emerging as the industry standard. OpenAI and Microsoft have officially adopted MCP, and Google has begun building its own managed MCP servers. As friction in connecting AI agents with external systems decreases, 2026 is expected to be the inaugural year where agentic workflows move beyond the demo phase and into practical operations.

Part II. AI Hardware and Infrastructure

1. Semiconductor and Chip Technology

2. Korean Semiconductors — Game of HBM Thrones

Implications for Korea: K-Semiconductors' HBM dominance signifies their status as a core provider for global AI infrastructure. The key is maintaining technical leadership during NVIDIA's architectural shifts or transitions to next-generation memory standards.

Part III. AI Applications by Industry

1. Autonomous Driving and Mobility

Waymo launched fully autonomous services in Dallas, Houston, San Antonio, and Orlando, bringing its commercial operation to 10 cities. It aims for over 1 million rides per week by the end of 2026. Uber established Uber Autonomous Solutions to provide robotaxi operators with integrated infrastructure including insurance, roadside assistance, and real-time control software. Wood Mackenzie predicts 2026 as the turning point for autonomous driving, with global autonomous vehicles expected to grow tenfold to over 100,000 by 2030. Notable moves include EV truck startup Harbinger acquiring autonomous software firm Phantom AI, and Germany’s ZF Group licensing this technology to sell to passenger car manufacturers. NVIDIA announced the Alpamayo family at CES 2026, a suite of open-source autonomous driving models and tools to accelerate safe, reasoning-based autonomous development.

2. Healthcare and Biotech

On January 7th, OpenAI unveiled ChatGPT Health, an encrypted space that integrates medical records and wellness apps to provide personalized health guidance. Five days later, Anthropic launched Claude for Healthcare, presenting an ecosystem strategy encompassing patients, providers, and insurers. Meanwhile, Google removed AI Overviews from specific health searches following an investigative report by The Guardian. A joint study by AstraZeneca and Tempus AI used contrastive learning to discover a biomarker predicting immunotherapy responses, proving a 15% improvement in survival rates in clinical trials. Numerous drug candidates discovered and optimized by AI will enter clinical trials in mid-to-late 2026.

3. AI Strategies of Korean Platform Companies

Naver plans to apply shopping agents to Naver Plus Store in Q1, create an AI tab in its search area in Q2, and launch 'Agent N,' integrating all services by summer. Kakao will officially release 'Kanana in KakaoTalk' on Android and iOS within Q1. This is an everyday AI that analyzes conversations to organize schedules, recommend locations, and assist with shopping. Both companies are expanding GPU infrastructure to enter the competition for agentic AI services.

Part IV. Investment and Market Trends

1. Major Investment Rounds

OpenAI secured a record-breaking $110 billion private investment (announced Feb 27). The round consists of $50 billion from Amazon, $30 billion from NVIDIA, and $30 billion from SoftBank, valuing the company at $730 billion (pre-money). Its 2026 revenue target is $30 billion. Earlier in January, xAI raised $20 billion from NVIDIA, Cisco, and Fidelity. Anthropic’s revenue target for 2026 is $150 billion.

2. Notable Startup Investments

Wayve raised a $1.2 billion Series D led by OEM partners (Mercedes, Stellantis, Nissan, Uber). Such strategic partnerships indicate that both the technology and business model in autonomous driving have been validated. Large capital is also flowing into vertical AI agents, including $500M for MatX, $1.15B for Basis (AI accounting), and $1B for Profound (AI marketing). 33% of all VC investment in 2026 is concentrated in AI startups, with HealthTech, AI, and ClimateTech as the three main pillars.

Part V. AI Security, Ethics, and Social Issues

1. Standoff between Anthropic and the Pentagon

Anthropic is in a deadlock with the U.S. Department of Defense after refusing requests for unlimited access to its AI technology. The company opposes the use of AI for mass surveillance and autonomous weapons. Over 300 Google employees and 60 OpenAI employees signed an open letter supporting Anthropic’s stance. Google DeepMind Chief Scientist Jeff Dean also expressed opposition to government mass surveillance. This issue has expanded into an industry-wide debate on where to set the limits for military AI usage.

2. Anti-AI Protests in London

On February 28th, hundreds participated in the largest-ever anti-AI protest at King’s Cross, London. Led by Pause AI and Pull the Plug in an area densely populated by the UK headquarters of OpenAI, Meta, and Google DeepMind, the protest raised issues ranging from 'AI slop' (low-quality content) and deepfakes to killer robots and concerns over human extinction.

3. Deepfake Threats and Responses

According to a September 2025 Gartner survey, 62% of organizations have already experienced deepfake attacks. Open-source platforms like DeepSafe and DeepFake-o-meter provide detection tools, but the democratization of generation technology allows low-skill actors to conduct sophisticated attacks, intensifying the arms race between detection and generation.

Part VI. Edge AI and Quantum Computing

1. The Proliferation of Edge AI

As of January 2026, AI features are embedded in the flagship devices of all major smartphone OEMs. Advancements in model optimization techniques like quantization have made it possible to run large language models and vision systems on resource-constrained devices. NPUs (Neural Processing Units) are becoming standard components; BrainChip completed its AKD1500 Edge AI co-processor for low-power devices, and Qualcomm expanded its IE-IoT platform. Apple is expected to announce its AI wearable strategy and new products in the first week of March, highlighting 'Visual Intelligence.' A completely revamped AI-powered Siri is set to launch in March with iOS 26.4, confirming a partnership with Google's Gemini 1.2 trillion parameter model.

2. Fusion of Quantum Computing and AI

In October 2025, Google demonstrated a 13,000x speedup in physical simulations over the Frontier supercomputer using only 65 qubits. In 2026, the first commercially useful quantum computers are expected to emerge. The fusion of neuromorphic computing, quantum computing, and edge AI processors is accelerating, with research exploring quantum algorithms to enhance neuromorphic learning and edge processors to support hybrid quantum-classical workflows.

Part VII. Comprehensive Analysis and Implications

1. Global Trend Analysis

As of March 2026, the AI technology landscape is organized along five axes. First, architectural diversification: with dLLMs and interpretable LLMs, the Transformer monopoly is cracking, driven by cost reduction and regulatory needs. Second, the practical implementation of Agentic AI: MCP has become a de facto standard, lowering the cost of system integration. Third, intensified hardware arms race: investments in NVIDIA Vera Rubin, AMD Helios, and Korea's HBM supercycle are unprecedented. Fourth, social tension: military AI refusal and protests show a gap between technology and social consensus. Fifth, the rise of vertical AI: billions are being invested in industry-specific agents for accounting, marketing, and healthcare.

2. Implications for Korean Companies

The 79% HBM market share of Samsung and SK Hynix makes Korea a core axis of the AI infrastructure supply chain. However, they must remain agile to changes in specs if NVIDIA adopts Groq technology or shifts architectures. Naver and Kakao's agentic strategies align with global trends, but they must differentiate through efficient operations and Korean-specific capabilities. As the Korean AI Basic Act takes effect, demand for law-technology convergence experts in compliance and governance will surge.

3. Future Outlook

Short-term (1-3 months): NVIDIA GTC 2026, Apple AI Siri/wearables, Anthropic Claude 5 launch, and Naver/Kakao agent services. Mid-term (6-12 months): Commercialization of non-Transformer architectures, HBM4 mass production, autonomous robotaxis exceeding 100,000 units, and the first commercial quantum computing use cases.