AI-driven state action implicates the Fundamental Rights triad — Article 14 (equality, non-arbitrariness), Article 19 (free speech and movement), and Article 21 (life, liberty, privacy). The Puttaswamy (2017) judgment requires any privacy intrusion to satisfy the four-part test: legality, legitimate state aim, proportionality, and procedural safeguards. Algorithmic decisions in welfare exclusion, predictive policing, or visa adjudication often fail the proportionality test — they are opaque, non-reviewable, and lack due-process guarantees. The Anuradha Bhasin (2020) ruling on Section 144 and the Justice K.S. Puttaswamy (Aadhaar) (2018) judgment on biometric proportionality offer the doctrinal scaffolding India urgently needs to apply to AI.

AI is rewriting the grammar of national security. Autonomous drone swarms, AI-enabled cyber operations, deepfake-driven information warfare, and algorithmic SIGINT analysis are now central to capability planning. India's adversaries — China's 'intelligentised warfare' doctrine and Pakistan's expanding cyber units — make AI catch-up an existential imperative. Yet, as Raja Mohan warns, ceding security judgment to algorithms risks strategic blunders: AI cannot read the silence of a Wagah-border handshake, the tactical pause of a diplomat, or the cultural nuance of a Galwan-type standoff. The CDS, theatre commands, and DRDO's Centre for Artificial Intelligence and Robotics (CAIR) must embed AI as a decision-support, not a decision-replacement, system.

AI governance straddles the Union List (Defence, Foreign Affairs, Communications), State List (Public Order, Police), and Concurrent List (Criminal Law). States like Telangana (T-AIM), Karnataka, and Tamil Nadu have launched independent AI policies, while predictive policing operates without uniform legal standards. This creates a federal patchwork resembling the GST era pre-2017. The absence of a national AI Authority — analogous to the Data Protection Board under DPDP Act 2023 — leads to regulatory arbitrage and rights asymmetry. Cooperative federalism, invoked in the Sarkaria (1988) and Punchhi (2010) Commission reports, must extend to algorithmic governance through an inter-state council mechanism.

AI has become the new currency of geopolitical influence. India's chairmanship of the Global Partnership on AI (GPAI) in 2024, the New Delhi Declaration, and its leadership at the Bletchley (2023) and Seoul (2024) AI Safety Summits position it as a bridge between the Global North's regulatory rigour and the Global South's developmental priorities. The US-India iCET (initiative on Critical and Emerging Technologies) and the EU-India Trade and Technology Council (TTC) reflect strategic alignment, but India must avoid 'digital colonialism' — where foundational models, training data, and standards remain western-controlled. Sovereign AI — Indic-language LLMs like BharatGPT, AI4Bharat, and Sarvam — is therefore a strategic, not merely cultural, imperative.

The deepest concern is moral, not technical. Algorithmic bureaucracy, by design, optimises for efficiency, scale, and pattern-recognition — values orthogonal to empathy, discretion, and forgiveness, which are constitutive of democratic statecraft. Welfare exclusion of ineligible-flagged Aadhaar beneficiaries, wrongful arrests via facial misrecognition (documented in the US Robert Williams case, 2020), and the dehumanisation of consular and refugee adjudication illustrate the danger. Gandhian ethics of 'antyodaya' (uplifting the last person) and Ambedkar's constitutional morality demand that AI systems incorporate explainability (XAI), human-in-the-loop oversight, and right to algorithmic appeal — not as add-ons, but as design principles.

AI is projected to add $957 billion to India's economy by 2035 (Accenture-NASSCOM). It can transform agriculture (precision farming reducing input costs by 15-20%), healthcare (AIIMS-tele-radiology), and education (NEP 2020's adaptive learning vision). Yet, automation threatens 30-40% of routine jobs (NITI Aayog estimates), disproportionately affecting India's informal sector and women workers. The IndiaAI Mission's FutureSkills pillar and Skill India 2.0 must be scaled tenfold to manage this transition. Without redistributive policy — universal basic services, reskilling guarantees, and progressive taxation of AI-derived productivity gains — AI risks deepening inequality, contradicting the Directive Principles under Articles 38 and 39.