
The potential for Generative AI to transform industries and drive value creation is immense. To maximize the benefits, investments and value creation should be aligned with Technology maturity levels.
Understanding Tech Maturity Levels and Future of AI
Generative AI is an emerging science, and its journey towards achieving Artificial General Intelligence (AGI) can be mapped through several key levels. Each level represents a significant leap in its capabilities and value creation potential.

Incremental Initiatives (Level 1): Utilising AI initiatives as Co-Pilots
At this stage, AI systems function as competent consultants or collaborators or co-pilots, assisting humans in decision-making processes and enhancing productivity. Value creation at this level is more in the nature of productivity improvements with ROI in the range of 10%-15% over a time frame of 1-3 years, enabled by advanced Large Language Model (LLM) algorithms.
Applications of Incremental AGI include chatbots for customer service, expert systems (Knowledge Copilots), process automations, advanced demand forecasting, code copilots, decision intelligence, hyper-personalized recommendations, and content creation optimized for various media.
Transformative AGI (Level 2)
The next stage, Transformative AGI or Level 3, elevates AI to the status of an expert. Here, AI systems possess deep domain knowledge and can perform complex tasks with high accuracy and efficiency.
This can be possibly achieved in a time frame of 5-7 years, supported by enabling technologies like Edge AI, 5G & beyond connectivity, and neuromorphic computing.
Use cases for Level 3 include risk management, autonomous factories, semi-autonomous logistics, autonomous warehousing, and content creation optimized for various media. Edge AI brings processing capabilities closer to data sources, reducing latency and improving real-time decision-making.
Disruptive AGI (Level 3)
At this level, AI systems act as autonomous agents capable of performing tasks independently and making strategic decisions. The timeline is projected as 10+ years, with enabling technologies such as quantum computing and advanced materials for computing (e.g., superconductors).
Use cases for disruptive AGI include AI-powered formulation creation, market simulation, subscription-based business models, and advanced supply chain optimization. Quantum computing offers unparalleled processing power, enabling AI to solve problems that are currently intractable.
The Transformative Force of AI Across Industries
Once AI surpasses Level 4 AGI, it will become a transformative force in every industry. The potential applications are limitless, from revolutionizing manufacturing with self-optimizing factories to demand forecasting with near-perfect accuracy in retail.
Embrace Gen-AI for Future Success: Optimize AI Investments
Organizations must embrace Gen-AI now to build the necessary capabilities for a competitive edge in the future. Investing in the right technologies and understanding the different levels of AI maturity will be crucial for leveraging the full potential of AI.
As we see, the journey towards Artificial General Intelligence is filled with opportunities for value creation. By aligning investments with AI maturity levels, organizations can harness the power of AI to drive innovation, efficiency, and growth in the future of AI.
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