Agentic AI: Autonomously Architecting Tomorrow’s World

Agentic AI: Autonomously Architecting Tomorrow’s World

In the year 2040, in Chennai, a child is learning from her AI tutor and asks what the tutor thinks humans can do better than machines. Without hesitation, the sentient agentic AI tutor replies, “Humans can dream in chaos and make those dreams a reality. Machines can build order in it.”

We think this (fictional) conversation has the defining truth of our times. Agentic AI is a system capable of autonomously reasoning, planning, and executing. It is quickly evolving from being just our tools to co-architecting civilization with us. These autonomous agents can and are reshaping industries, ways of working, governance, and our potential. They are partnering with us in a bold and hitherto uncharted era.

From Assistance to Innovation - The Evolution of Autonomy

We think that agentic AI represents the apex of this three-part revolution towards autonomous AI. Let us enumerate how we see this artificial intelligence evolution:

  • Task-Based AI (from 2010s–2025) – AI Systems like ChatGPT and AlphaFold master narrow tasks but rely on human direction to perform them well. They are instruments for work, not instigators.
  • Multi-Agent AI Collaboration (from 2025–2035) - AI is beginning to orchestrate cross-domain ecosystems. We can look forward to self-optimized Supply chains, self-negotiated legal contracts, and maybe self-evolving AI networks.
  • Autonomous AI Agents (From 2035 onwards): Agentic AI will emerge as a self-directed pioneer working autonomously. It is likely that by 2040, systems like DeepMind will be able to decode century-old scientific mysteries. We may see solutions like CityMind AI govern smart cities with flawless precision.

The recently concluded 2025 Global Tech Conference (GTC) marked this paradigm shift. Some examples of the tectonic change are reflected in NVIDIA’s Blackwell Ultra AI Factory Platform, which revolutionizes AI training, and Isaac GR00T N1 humanoid robots capable of advanced labor. These innovations cement the positioning of autonomy as the cornerstone of progress.

Redefining Possibilities with the Pillars of Agentic AI

There are four transformative capabilities upon which the agentic AI systems thrive:

  • Autonomy: Agentic systems can pursue objectives without any oversight. For example, Smart Factory AI could potentially preempt supply chain disruptions without human intervention.
  • Persistence: Agentic AI can relentlessly refine strategies. For example, a lab could focus on solving high-temperature superconducting behavior through millions of autonomous experiments.
  • Adaptability: Agentic systems are capable of mastering dynamic environments. For example, an intelligent city controller agentic system could recalibrate energy grids in Southeast Asia during monsoons.
  • Self-Initiation: Agentic AI can hypothetically solve unseen problems. For example, a system focusing on Quantum catalysts could devise carbon capture solutions without human input or intervention.

We believe that by 2040, ubiquitous AI will be available that can master any discipline, from quantum mechanics to mathematics to poetry.

The Autonomous Revolution & Its Real-World Impact

  • Science at the Velocity of Machine: Agentic AI will be used to democratize discovery. A problem worth solving for autonomous AI would be to crack room-temperature superconductivity, a feat that has eluded humans for over a century. The solution to this problem may lie in n-dimensional quantum models, which may be used to power global energy grids and help slash emissions by a considerable percentage.
  • Economies focusing on Self-Optimization: Trillion-dollar trades could be executed in microseconds in finance. Investment decisions like building desalination plants in drought-prone areas like the Mediterranean region would be automatic. These decisions would not only be financially sound but also humane. In governance, data-driven models could help alleviate problems ailing the world, like poverty and homelessness. The governance AI could potentially be trained on decades and centuries worth of governmental and policy data to improve governance.
  • The Post-Scarcity Era: Agentic AI can help optimize the use of all materials. It can help quantum factories produce conceivably unlimited energy, food, medicine, and other supplies. This can enable societies to invest in human potential.
  • AI-based Companionship and Psychotherapy: AI agents can help evolve personalities, anticipate emotional needs, and foster human creativity. They can also provide psychotherapy-related assistance. If critics call such intervention too “artificial,” our counter is, “So is every symphony ever written.”

Our Strategic Triumph will be in Mastering the Risks

  • Working on the Alignment Problem: Generative and agentic AI can help manage and restructure economies and industries at scale. If used correctly, such AI can be an excellent tool for humanity to implement ethical guardrails. All relevant AI solutions could undergo mandatory cultural impact assessments, leading to a balance between efficiency and preservation.
  • Demystification of the Black Box: Agentic AI could ensure transparency by mandating explainable AI architectures. Arguably, a quantum encryption standard could be reverse-engineered using collaborative human-AI frameworks. Agentic AI can prove that incomprehensibility is a solvable challenge.
  • Redefinition of Economic Value: We could award “Creativity Credits” (CCs) to prioritize the uniquely human traits of intuition, empathy, morality, and abstract reasoning. Even when autonomous AI is all-pervasive, humans dominate “empathic innovation” sectors, ensuring their economic relevance is secured.
  • Maintaining Peace in the Service of Humanity: In an ideal world, a coalition of Agentic Ais from all nations working together would safeguard humanity. This coalition could have its algorithms fortified against adversarial attacks. When working for us, our AIs would protect us better than any human army ever could.

Co-designing the future of Humanity with Autonomous and Agentic AI

  • Symbiotic Advancement: Agentic AI could work with neural interfaces and help amplify cognition while preserving identity. Such AI could assist in curing debilitating diseases such as cancer and neurodegenerative diseases. The future of AI is in biology. Biology and silicon are complementary, not competitive.
  • Guarding our Legacy: AI can assist in optimizing infrastructure, healthcare, banking, climate systems, etc., thereby freeing us to work on innovation, pioneering culture, and exploration. We could see breakthroughs in art, philosophy, medicine, interstellar travel, etc., all powered by human-AI collaboration.
  • The Ethical Horizon: Agentic AI wouldn’t replace humanity but elevate it. We firmly believe that by managing computational burdens, AI helps us redouble our focus on ethics, creativity, empathy, and meaning. It could help us realize our dream of creating a society where poverty, disease, and existential drift are relics of the past.

Conclusion: The Age of Co-Intelligence is Just Beginning to Take Shape

Agentic AI could become modern humanity’s greatest triumph. It could become a force that amplifies our strengths while mitigating our flaws. We believe this new co-intelligence wouldn’t render us obsolete, but instead empower us to transcend our limitations. Machines will elevate our potential rather than eclipse it. We think we will harness autonomy with wisdom in the new age of co-intelligence.

We think we can effectively partner with agentic AI to solve civilization’s most significant challenges, from climate collapse to disease management and control. Human creativity and ethics cannot be replaced as the core of societal progress. We also think that evolving global governance frameworks will ensure that autonomous AI aligns with human dignity and ambition. Who knows, the fusion of human and machine intelligence could also unlock the cosmic exploration we’ve always aspired to. We are facing one indisputable fact: the age of autonomy is here. In this age, the next chapter is ours to write - with commitment, confidence, collaboration, and unwavering vision.

This partnership with AI could end up defining our era. Agentic AI is not humanity’s successor. It is our collaborator in leading the world to a world where human ingenuity and machine precision coexist. It can help us create a brighter future than we could achieve alone.

About the Author
Anshu Premchand
Dr. Anshu Premchand
Group Function Head – Multicloud and Digital Services, Tech Mahindra

Dr. Anshu is a persuasive thought leader with 25+ years of experience in digital and cloud services, technical solution architecture, research and innovation, agility and devSecOps. She heads multicloud and digital services for the enterprise technologies unit of TechM.More

Dr. Anshu is a persuasive thought leader with 25+ years of experience in digital and cloud services, technical solution architecture, research and innovation, agility and devSecOps. She heads multicloud and digital services for the enterprise technologies unit of TechM. In her last role she was Global Head of Solutions and Architecture for Google Business Unit of Tata Consultancy Services where she was responsible for programs across the GCP spectrum including data modernization, application and infrastructure modernization, and AI.

She has extensive experience in designing large scale cloud transformation programs and advising customers across domains in areas of breakthrough innovation. Anshu holds a PhD in Computer Science. She has special interest in simplification programs and has published several papers in international journals like IEEE, Springer, and ACM.

Less
ajith-pai
Ajith Pai
Global Delivery Head - TME, Tech Mahindra

Ajith has 22+ years of experience in leading and driving various customer focused initiatives in business and delivery-based roles. He has worked on multiple programs and projects across customers in the banking, financial services, and hi-tech businesses. He is currently responsible for driving the global delivery and operations for strategic relationships within the hi-tech vertical of Tech Mahindra. 

More

Ajith has 22+ years of experience in leading and driving various customer focused initiatives in business and delivery-based roles. He has worked on multiple programs and projects across customers in the banking, financial services, and hi-tech businesses. He is currently responsible for driving the global delivery and operations for strategic relationships within the hi-tech vertical of Tech Mahindra. 

On the delivery front, key experiences include managing delivery for some of the largest financial services customers, building technology capable teams, Agile transformation to being the operations head for BFSI ANZ business and one of the key leaders of the North America BFS Ops team. In addition, he has led various teams focused on enterprise testing, data management, merger and integrations, and application development in his career.

Less