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The New Delhi Declaration: 88 Countries Agree on AI Governance — What It Means for Government Procurement

The New Delhi Declaration on AI, $200B in investment commitments, and the Pentagon's AI strategy signal a massive wave of government AI procurement. Here's what it means for technology vendors.

Alvaro de la Maza AlbaFebruary 27, 202611 min read

The New Delhi Declaration on AI, signed by 91 countries in February 2026, triggered over $200 billion in AI investment commitments from governments and the private sector — making it the largest single-event concentration of AI investment pledges in history. In parallel, the Pentagon released a strategy backed by $13.4 billion in AI procurement, the EU AI Act is creating compliance requirements that affect 30% of Europe's AI market, and India alone expects $200 billion in AI and deep-tech investment over the next two years. For technology companies, consultants, and service providers, government AI procurement has emerged as one of the largest and fastest-growing tender categories in the world.

The declaration itself is a nonbinding set of principles adopted at the India AI Impact Summit (February 18-21), the first global AI summit hosted by a country in the Global South. But the concrete procurement frameworks, defense mandates, and regulatory requirements emerging around it are turning principles into demand at a pace that few anticipated.

What the New Delhi Declaration Actually Says

The declaration was guided by the Sanskrit principle of "Sarvajan Hitaya, Sarvajan Sukhaya" — welfare for all, happiness for all — and emphasizes that the benefits of AI must be equitably shared across humanity. Its core commitments include:

  • Democratizing access to AI tools and infrastructure, particularly for developing countries
  • Expanding AI's role in healthcare, education, agriculture, and climate resilience
  • Ensuring ethical safeguards and transparency in AI systems
  • Promoting inclusive governance that gives all nations a voice in AI policy
  • Supporting open-source AI and shared research infrastructure

The signatories include the United States, the United Kingdom, China, Brazil, Australia, Canada, Switzerland, and dozens of countries across Asia, Africa, and Latin America. The breadth of endorsement is notable — this is the first AI governance document to attract support from both the US and China, as well as from major developing economies.

What the declaration does not do is prescribe specific procurement rules or spending mandates. That work is happening separately, in national capitals and defense ministries, and it is moving fast.

$200 Billion in Investment Commitments

The summit generated the largest single-event concentration of AI investment pledges in history. India's Electronics Minister Ashwini Vaishnaw announced that over $200 billion in AI and deep-tech investment is expected in the country over the next two years. The headline commitments include:

Indian conglomerates leading the charge. Reliance Industries and its telecom arm Jio pledged $110 billion over seven years to build AI and data infrastructure. The Adani Group matched with a $100 billion commitment to renewable-powered AI data centers by 2035. Combined, these represent the largest single-event investment commitment in India's technology history.

Global technology companies expanding. Microsoft is on pace to invest $50 billion across the Global South by 2030, building on $17.5 billion already committed to India. Google announced a $30 million AI for Government challenge and a separate $30 million AI for Science fund, alongside a new climate technology center in partnership with the Indian government. OpenAI agreed to be the first customer of the TCS data center unit under its Stargate initiative. Anthropic revealed the opening of a new office in Bengaluru, with India now its second-largest market.

Government venture capital. The Indian government earmarked $1.1 billion for a new AI venture capital fund, signaling intent to back domestic AI startups and create a pipeline of homegrown solutions for government procurement.

These investment commitments are not abstract. Data centers need to be built, equipped, and connected. AI systems need to be developed, tested, and deployed. Each step in that chain generates procurement — from construction and electrical engineering to cloud services, hardware supply, cybersecurity consulting, and systems integration.

The Pentagon's AI Strategy: $13.4 Billion and Counting

While the New Delhi Declaration framed global AI governance, the United States Department of Defense was already turning AI procurement into operational reality. On January 9, 2026, the Pentagon released two memoranda that fundamentally reshape how the world's largest defense buyer acquires AI capabilities.

The first, "Artificial Intelligence Strategy for the Department of War," sets out seven Pace-Setting Projects designed to embed AI across warfighting, intelligence, and enterprise operations:

  • Swarm Forge — AI-enabled fighting tactics
  • Agent Network — AI battle management and decision support
  • Ender's Foundry — AI-enabled simulation capabilities
  • Open Arsenal — Accelerating weapons development
  • Project Grant — Dynamic deterrence approaches
  • GenAI.mil — AI model access across classification levels
  • Enterprise Agents — Rapid deployment of AI agents for administrative workflows

The second memorandum reorganizes the defense innovation ecosystem under a single Chief Technology Officer with decision authority, replacing the fragmented committee structure that had slowed AI adoption.

What This Means for Contractors

The procurement implications are sweeping. The Department now mandates that AI vendors be able to deploy the "latest models" within 30 days of their public release — a primary procurement criterion that favors agile, cloud-native companies over legacy defense contractors. A "barrier removal" team has been empowered to waive non-statutory requirements that slow acquisition.

Military departments must deliver federated data catalogs within 30 days. Contract language now permits "any lawful use" of AI systems. Monthly progress reports go directly to the Deputy Secretary.

For companies seeking to enter the defense and security procurement space, these changes fundamentally lower barriers to entry while raising the bar on technical capability and deployment speed. The Pentagon is explicitly seeking nontraditional defense contractors and technology-focused firms that can deliver rapid integration and iterative development.

The EU AI Act: Compliance as a Procurement Gateway

While India convened the global conversation and the Pentagon moved to operationalize AI, the European Union is creating the regulatory framework that will shape AI procurement across 27 member states and beyond.

The EU AI Act, now entering its critical implementation phase, establishes compliance requirements that directly affect who can sell AI to European governments. Key procurement impacts include:

High-risk AI systems deployed by public authorities must meet specific transparency, documentation, and human oversight requirements. Legacy systems deployed before August 2, 2026 must be brought into compliance or retired.

Model contractual clauses for public procurement of AI services have been published in 24 EU languages, creating standardized terms that government buyers across the EU will use when issuing tenders for AI solutions.

Certified AI systems gain preferential treatment in public procurement, which represents an estimated 30% of the EU's AI market. For companies targeting European government tenders, AI Act certification is becoming a de facto requirement.

Enhanced vendor due diligence is now mandatory. Procuring entities must assess AI vendors on role clarity, transparency artifacts (model cards, safety specifications), incident reporting timelines, and audit log capabilities.

For technology and IT tenders in Europe, these requirements represent both a barrier and an opportunity. Companies that invest in compliance infrastructure now will have a significant competitive advantage as EU member states ramp up AI procurement.

Where the Tenders Will Be

The convergence of global governance frameworks, massive investment commitments, and concrete procurement strategies points to several areas where AI-related tender volume will grow substantially.

AI Infrastructure

Data centers, cloud computing platforms, GPU clusters, networking equipment, cooling systems, and power supply infrastructure. India alone is planning billions in new data center construction. The Pentagon's GenAI.mil project requires classified AI model hosting infrastructure. Every country that signed the New Delhi Declaration and lacks domestic AI compute capacity will need to procure it.

AI Solutions for Government Services

Healthcare diagnostics, agricultural advisory systems, education platforms, fraud detection, tax administration, benefits processing, and citizen services. The New Delhi Declaration specifically identifies healthcare, education, and agriculture as priority areas for AI deployment. These are sectors where governments are the primary buyers.

Cybersecurity and AI Safety

AI audit tools, adversarial testing services, red-teaming, compliance assessment, and monitoring systems. The EU AI Act's compliance requirements create a new category of procurement. The Pentagon's emphasis on AI security across classification levels adds defense-specific demand.

Consulting and Advisory Services

AI strategy development, procurement framework design, regulatory compliance consulting, change management, and training. Many governments — particularly in developing countries that signed the New Delhi Declaration — will need external expertise to develop their AI procurement capabilities. This creates opportunities for consulting tenders across multiple regions.

AI-Powered Procurement Systems

Governments are not only buying AI — they are using AI to improve how they buy everything else. Automated bid evaluation, contract management, supplier risk assessment, and procurement analytics are all areas where governments are issuing tenders for AI-powered tools.

Regional Opportunities

India and South Asia

With $200 billion in investment flowing into AI infrastructure, India will be the epicenter of AI procurement in the developing world. The $1.1 billion government AI venture capital fund will seed domestic companies, but international firms with specialized capabilities in data center construction, semiconductor supply, cloud infrastructure, and AI consulting will find substantial opportunities. Browse tenders in India to track emerging opportunities.

United States

The Pentagon's $13.4 billion AI budget is the tip of the iceberg. Civilian agencies are also ramping up AI procurement under various executive orders and agency-specific strategies. The key differentiator for winning US government AI contracts is speed — the ability to deploy working systems within weeks, not years, and to update models continuously. Explore US tenders for current opportunities.

European Union

The EU AI Act creates a regulatory moat that benefits compliant companies. As member states transpose AI procurement guidelines into national procurement law, expect a wave of tenders for AI systems that meet the Act's requirements, along with consulting tenders for compliance assessment and implementation support.

Africa and the Global South

Many New Delhi Declaration signatories in Africa and Southeast Asia are at the earliest stages of government AI adoption. The declaration's emphasis on democratizing access and the investment commitments from global tech companies will generate demand for foundational AI infrastructure, capacity building, and pilot projects. Development banks like the World Bank and African Development Bank are likely to fund AI-related tenders as part of their digital transformation programs.

Positioning for AI Procurement Opportunities

The AI procurement wave is not a future possibility — it is happening now. Companies looking to capture these opportunities should consider several strategic priorities.

Build compliance credentials early. Whether it is EU AI Act certification, Pentagon security clearances, or alignment with the New Delhi Declaration's principles, procurement frameworks increasingly require demonstrated compliance before companies can even bid.

Develop government-specific AI capabilities. Government buyers have different requirements than commercial customers. Explainability, audit trails, data sovereignty, multilingual support, and accessibility are often mandatory in public procurement but optional in commercial markets.

Monitor multiple procurement channels. AI tenders are being issued by defense ministries, health departments, education agencies, tax authorities, development banks, and technology offices. They appear across multiple sectors and contract types. Setting up broad monitoring is essential to avoid missing opportunities in unexpected categories.

Form strategic partnerships. The New Delhi Declaration's emphasis on inclusive access and the EU's local content tendencies both favor consortia that combine global AI expertise with local market presence. For companies without a presence in target markets, partnering with local firms can be the difference between eligibility and exclusion.

The New Delhi Declaration marked a political moment. The investment commitments and procurement frameworks emerging around it are creating the commercial reality. For technology companies and service providers in the international procurement market, the question is no longer whether governments will buy AI, but how fast and from whom.

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Alvaro de la Maza Alba

Partner at Aninver Development Partners

Founding Partner at Aninver Development Partners, a global development consultancy operating in 50+ countries. IESE Business School alumnus with over 15 years of experience advising development finance institutions, governments, and multilateral organizations including the World Bank, IDB, AfDB, and UNIDO. Specialized in infrastructure & PPPs, private sector development, climate finance, and digital transformation for emerging markets.

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