On February 2, 2026, national AI infrastructure policy accelerated with India’s decisive moves, security frameworks for agents matured with zero-trust approaches, and the open-source ecosystem continued its rapid evolution across agent platforms and deployment tools.
🧭 Key Highlights
- 🇮🇳 India launches Semiconductor Mission 2.0 with zero-tax AI policy
- 🔐 Teleport outlines zero-trust agentic identity framework
- 🛠️ AIsa Skills launches unified API for agents
- 📊 Analysts project AI infrastructure boom through 2028
- ⚡ Open source agent platforms gain momentum
National AI Infrastructure Policy
🇮🇳 India Moves Decisively on AI-Native Infrastructure
According to India Today, India’s Union Budget introduced India Semiconductor Mission 2.0 to bolster domestic equipment, materials, and full-stack IP—explicitly covering critical AI infrastructure.
🇮🇳 India Announces Zero-Tax Policy Until 2047 for Foreign Cloud Providers
According to TechCrunch, India announced a zero-tax policy until 2047 for foreign cloud providers that build in-country data centers and sell AI services abroad. The policy aims to attract global AI workloads while routing local services via Indian resellers, creating a strategic advantage in the global AI infrastructure race.
💰 India AI Data Center Incentives Include 15% Safe Harbor
According to Multibagg, budget measures also flagged AI data center incentives, including a 15% safe harbor on costs for resident entities, alongside broader capex and logistics corridors to support digital infrastructure growth.
Security and Agent Frameworks
🔐 Teleport Outlines Agentic Identity Framework
According to Cyber Magazine, Teleport outlined an agentic identity framework built on zero-trust principles—featuring cryptographic, hardware-backed identities; dynamic access control; and no standing privileges. The framework provides a standards-driven deployment model for securing autonomous AI systems in enterprise environments.
⚖️ 2026 AI Accountability Framework Positioning
According to LinkedIn, a 2026 AI Accountability Framework positioned accountability as a binding legal duty across prevention, transparency, remediation, and governance, with doctrines on non-delegable responsibility and perpetual accountability for AI systems.
Platforms and APIs
🛠️ AIsa Skills Launches Unified API for Agents
According to Chaincatcher, AIsa Skills launched as part of a unified API for agents, centralizing capability access, billing, and AI-native resource orchestration for the agent ecosystem. This standardization effort addresses fragmentation in agent tooling and deployment.
Industry Analysis
📊 AI Infrastructure Build-Out Continues Through 2028
According to Dig, analysts project continued AI infrastructure build-out through 2028, with rising rack power densities and constraints centered on power and workforce availability.
🚀 2026 Framed as Year Inference Scales to Production
According to LinkedIn, 2026 is framed as the year inference scales into mission-critical production, emphasizing durable infrastructure, human-agent collaboration layers, and continuous traceable updates.
Open Source Momentum
🦙 Ollama Launch Streamlines Local or Cloud Coding Agents
According to Medium, Ollama’s launch streamlines local or cloud coding agents using open-weight models, reducing friction in AI-powered development workflows.
🎭 Shakespeare AI Debuts as 100% Open-Source, Nostr-Native Site Builder
According to USA Today, Shakespeare AI debuted as a 100% open-source, Nostr-native site builder, representing decentralized infrastructure for AI-powered web development.
🤖 Zuckerman Introduces Minimalist Self-Editing Personal AI Agent
According to Pulse, Zuckerman introduced a minimalist, self-editing personal AI agent that can modify its own code, representing research toward autonomous self-improving systems.
📝 Voiden Proposes Git-Native, Markdown-First Offline API Workflow
According to Brutalist Report, Voiden proposed a Git-native, Markdown-first offline API workflow, addressing developer tooling for local-first AI development.
Community Discussions
🔥 OpenClaw Local Setup Discussions
According to Reddit, hot threads cover OpenClaw local setup with Qwen3-8B via Koboldcpp, including manual onboarding, skill disabling for context limits, and memory embedding configuration.
⚠️ Security Alert: Scam Vectors Targeting OpenClaw Users
According to Reddit, security alerts warn of six scam vectors targeting OpenClaw users, including malicious npm packages, impersonation phishing, and exposed default ports—highlighting security challenges in popular agent frameworks.
🎯 Red-Team vs Blue-Team Agent Test Results
According to Reddit, a red-team vs blue-team agent test found that direct attacks were blocked, but indirect payloads via JSON metadata with hidden shell expansion succeeded—highlighting document and memory paths as harder to defend in agentic systems.
🔍 Infra Insights
February 2 developments highlight three accelerating trends: national AI infrastructure policy becoming a competitive lever, security frameworks for agents maturing toward zero-trust models, and open-source tooling consolidating around standards.
India’s aggressive policy mix—Semiconductor Mission 2.0, zero-tax incentives for foreign cloud providers, and safe harbor provisions—represents a comprehensive national strategy to attract AI infrastructure investment. The zero-tax policy until 2047 is particularly notable as a long-term signal to global cloud providers.
Teleport’s zero-trust agentic identity framework and the AI Accountability Framework address critical security gaps as autonomous systems enter production. The emphasis on cryptographic identities, no standing privileges, and perpetual accountability provides guardrails for enterprise deployment.
The open-source ecosystem’s momentum—from Ollama’s coding agents to Shakespeare AI’s decentralized site builder—demonstrates continued developer-driven innovation. However, security alerts around OpenClaw scams and red-team testing revealing vulnerabilities in document/memory paths underscore that agent security remains an active challenge.
Collectively, these trends indicate AI infrastructure is scaling from experimental projects to national strategic priorities with corresponding security frameworks and policy support.