Demis Hassabis’ Post

Read more about our new collaborations with India and our National Partnerships for AI initiative: https://deepmind.google/blog/accelerating-discovery-in-india-through-ai-powered-science-and-education/

Good to see the incredible momentum and energy around AI in India — the technical talent and scale are truly impressive. In my opinion, for India to fully unlock its global AI leadership potential, there is still a trust and IP culture gap that needs attention. The technology capability is clearly there, but concerns around idea copying and intellectual property protection remain a barrier in the perception of many international partners. If this cultural and ecosystem challenge is addressed, India could accelerate even faster toward becoming a dominant and trusted AI powerhouse.

AI will not replace 100% of human work. Even at 90–99% automation, a critical human layer remains: decision-making, ownership, ambition, direction. What disappears is repetitive labor. What scales is leverage. AI-driven productivity growth is exponential. As production becomes more abundant and efficient, the structural drivers of war weaken. Historically, wars emerge from scarcity—energy, land, materials, strategic control. If AI dramatically increases output per unit of energy and capital, resource competition loses economic logic. The constraint shifts from human labor to energy infrastructure and system design. That is why energy is the base layer. AI runs on electricity. Robotics runs on electricity. Data centers run on electricity. If productivity is to scale, distributed generation and storage must scale first. The bottleneck is not intelligence. It is power infrastructure. The mission is not selling products. It is building, controlling, and distributing energy capacity in an AI-amplified world.

It is inspiring to see summits like the AI Impact Summit 2026 galvanize international cooperation around AI, placing research, responsible innovation, and real applications at the center. India shows how talent can be catalyzed when public policy, science, and entrepreneurship converge on concrete challenges rather than abstract models. In contexts where access to data, infrastructure, and funding remains limited, this collective energy reminds us that impact does not come only from computing power or cutting‑edge models, but from how technology meets real human needs — health, agriculture, education, energy, and digital inclusion. This global dialogue is an invitation to reflect not only on what AI can do, but on who it serves and how it can be shaped to reduce technological divides rather than deepen them. What approaches do you see as most effective to ensure AI innovation truly reaches communities beyond traditional tech hubs?

🙏 The miracle of AI lies not in its ability to mimic human thought, but in its potential to amplify human compassion. In the hands of the many, it is a tool of liberation; in the hands of the few, it is a wall of privilege. By democratizing access to compute and data, we ensure that a farmer in Vidarbha or a student in Varanasi has the same "intelligence advantage" as a developer in Silicon Valley. India’s message to the world is simple: When silicon speed meets human soul, we don't just solve problems; we redefine what it means to be a global civilization. The table is built, the blueprint is "MANAV," and the future is being coded in the language of inclusion.

The focus on AI for local challenges makes a lot of sense. As we move toward broader capabilities, often associated with Artificial General Intelligence, the real differentiator will likely be how agents connect to institutional knowledge through open data ecosystems and emerging standards such as the MCP - Model Context Protocol. However, the order of factors matters. Many organizations are still evolving in foundational capabilities such as API-driven architectures, data governance, and compliance with regulations like the "Lei Geral de Proteção de Dados" in Brazil, the General Data Protection Regulation in Europe, or initiatives such as the California Consumer Privacy Act in North America. Accelerating AI on fragile foundations may lead us to a scenario of “RPA-like AI”, where models are mainly orchestrating workflows and automations with slightly more intelligence. Perhaps the real reflection we need is whether we are truly enabling new use cases and value creation, or simply automating existing processes with smarter tools.

Great summary, Demis. While the industry fixates on a self-contained system to crack the code on planning and continuous learning, there’s a strong case that Functional AGI is already live via the Human + AI unit. In this loop, the human provides the high-level 'System 2' reasoning, while the AI acts as a 10x force-multiplier for synthesis and execution. Whether it’s the AlphaGenome work in Bengaluru or personalised learning at scale, we’re already seeing a collective intelligence that dwarfs any individual human capability. We shouldn't be waiting for a future software update to declare the AGI era, it isn't a 5-year forecast, it’s the environment we’re building right now. The 'Golden Age' is a present reality. .

Strongly agree on humility and inclusion. If AGI truly unfolds at this pace and scale, the limiting factor won’t be scientific capability — it will be whether societies can govern execution, not just intention. International dialogue matters, but the hard part comes after: how authority, accountability and safeguards are embedded into systems as they move from research → deployment → real-world decisions. The opportunity is extraordinary. So is the responsibility to make governance operational, not symbolic.

No doubt the event was a grand success and has opened doors for various initiatives and collaborations. While collaboration with various sectors and academia may be an ongoing process. I feel an immediate connection to Agentic AI. The most relevant use case is Autonomous Workflow Orchestration—specifically in Finance, HR, and Sales Operations . As a superadmin for HR & Operations to start with, Autonomous onboarding of employees, autonomous financial reconciliation of Accounts, Sales, and Market intelligence, Intelligent agents for a hypercompetitive B2B Market( Hunt rather than just respond)

It is inspiring to see Global South nations beginning to address the "bigger picture" by hosting the inaugural AI summit in New Delhi. With a combined population of approximately 6 billion people and a myriad of complex local challenges, AI holds immense potential for this region. In areas struggling with poor governance and restricted access to world-class knowledge, AI-driven data analytics and streamlined solutions could serve as a vital boon for these large populations. Historically, a lack of capital and expertise served as the two primary bottlenecks for the Global South; however, recent AI developments offer a new sense of hope by providing sophisticated expertise with significantly lower capital requirements.