As Digital Technologies Rapidly Permeate Every Industry
As digital technologies rapidly permeate every industry, a new paradigm called "Co-Intelligence" — which goes beyond the single word "artificial intelligence" — is drawing increasing attention. Sharath Bulusu, a Product Manager at Google Pay, introduced the concept of co-creation while sharing the evolution of mobile devices, the rise of cloud computing, and the current state of AI as it penetrates deeply into daily operations and organizations. Co-Intelligence refers to a new form of intelligence in which AI goes beyond merely producing outputs in response to human instructions and instead collaborates with humanity's rich subjectivity and experience to generate synergies of mutual complementation. For example, a case from a government-led public service initiative in rural India — where farmers can receive guidance on appropriate subsidies and support through various application procedures simply by speaking to AI in their native language — clearly demonstrates the possibilities created by digital public infrastructure and co-creation.
Venkat Ramaswamy, a pioneering thinker on co-creation, and Krishnan Narayanan also discussed the full picture of the co-creation revolution and its social and economic implications. They explained with concrete examples how AI systems connect with human life experiences and co-create value, building on a foundation of natural intelligence. This trend toward co-creation is predicted to bring major transformation to business processes, product development, and even management practice — and is expected to promote more inclusive, human-centered innovation as the shift from traditional value-exchange models to interactive value creation takes hold.
This article explores the full picture of this "Co-Intelligence Revolution" — where technology and human intelligence fuse to create new value — covering the importance of digital public infrastructure, tokenized digital intelligence, and organizational evolution and management redesign, with concrete examples throughout.
Human-Centered Co-Creation and Life Experiences: The Synergy of New Intelligence Digital Public Infrastructure and Tokenized Intelligence: The Foundation for Future Value Co-Creation Organizational Evolution and Management Redesign: The Co-Intelligence That Will Define the New Enterprise Era Summary Human-Centered Co-Creation and Life Experiences: The Synergy of New Intelligence
The concept of co-creation is first rooted in "natural intelligence" — the creativity and subjective experience that humans possess. Until now, products and services were mass-produced in factories, and methodologies such as Six Sigma were developed to maintain uniform quality by following established processes. Today, however, we are moving beyond fixed value-exchange models toward an interactive world in which users participate themselves and collectively build their experiences. In the co-creation framework, AI systems are designed to go beyond the role of mere tools — to "dialogue" with users and provide value instantly in response to their momentary needs and sensibilities. For example, in a case implemented in rural India, a system was introduced in which farmers use their own language on smartphones to ask a chatbot about their situation and questions — and the system automatically provides not only answers specific to government subsidy programs but also support for application procedures. Rather than the old one-way information delivery, this creates a process where users and the system interactively exchange information to generate the optimal solution for each situation.
The concept of co-creation also focuses on users' "life experiences" — the experiential world where the physical, digital, and virtual intersect. Life experiences are understood as the space in which the various sensations and contexts of daily life interact in real time with AI systems. This concept expresses a new paradigm in which users are not merely passive recipients of products and services but become creative participants at every moment, collectively constructing their experiences. For example, when a consumer uses a cosmetics brand's app, diverse information — skin condition, mood that day, climate — is instantly reflected, and a product customized specifically for that user is suggested. Here, the user's experience is not treated as a single data point but is incorporated as part of an entirely personalized experience, allowing the quality of the product itself to evolve through moment-by-moment consensus-building.
For co-creation to be realized, an environment is essential in which humans and AI mutually learn from and continuously feed back to each other on the same platform. Information that traditional market research and customer surveys could not capture — deeper, more intuitive experiential information — is now being collected as diverse signals including voice, images, and text. This information is extracted and analyzed from real-time dialogues in the field and rapidly fed back into system improvements. For example, when a farmer receives guidance on agricultural subsidies in conversational form and that conversation reveals what support is needed and where the procedures could be improved, the system builds on that information to consider the next update or new service.
This kind of co-creation process brings not only technical progress but also wider social impact. As AI becomes intimately connected to human life and syncs with individual life experiences, the possibility increases that benefits will be available not just to specific user groups but to entire local communities — and even to the national infrastructure and product development at a whole-country level. In areas where information gaps and technology gaps tended to arise under traditional, uniform systems, co-creation makes it possible to take in the experiences of diverse users and enables an integrated approach, achieving more inclusive and equitable value delivery.
Realizing co-creation requires not only technological change but also a transformation in consciousness — both within organizations and across society as a whole. Managers, engineers, and everyone working on the front lines must shift their mindset away from fixed processes toward embracing a dynamic, flexible collaborative environment and collectively creating new value. By shifting from traditional top-down management structures to cultivating a bottom-up feedback culture, companies can achieve product improvements that prioritize users' real-time experiences — ultimately improving competitiveness across the entire market.
In this way, "co-creation" is not merely the introduction of AI or automation, but an innovative process for deepening human intuition, creativity, and individual experience. This process, in which people and AI complement each other to create new value, has the potential to dramatically transform industrial structures and market environments going forward. How the concept of co-creation will permeate real society as technology evolves, how its benefits will spread, and how companies and organizations will choose to take advantage of its value — the era of co-creation is opening at this very moment.
Digital Public Infrastructure and Tokenized Intelligence: The Foundation for Future Value Co-Creation
The co-creation revolution is not confined to dialogue between humans and machines alone. At its core lies the development of digital public infrastructure and the use of the tokenized digital intelligence that runs on top of it. These contain the potential to fundamentally change value creation across entire industries as the operational foundation for AI use in modern society. Digital public infrastructure refers to systems such as India's authentication systems and the various public service platforms built by the government — and as these function as familiar tools for farmers, small businesses, and ordinary citizens, the frameworks of traditional administrative procedures and financial services are being dramatically transformed.
Hardware evolution has also contributed significantly to the AI revolution. For example, the high-speed, high-capacity computing power provided by Nvidia has enabled large-scale data processing and real-time analysis that were previously impossible, establishing the foundation for AI to spread across all industries. In these systems — dubbed "AI factories" — tokenized intelligence is generated from input data, much like industrial manufacturing uses energy and electricity as raw materials, and these tokens contribute to value co-creation in various forms. These intelligence tokens appear in the forms of text, images, audio, video, and even complex scientific data, making a major contribution to rapid decision-making and individual product optimization in industrial settings.
For companies to realize the value of co-creation, it is also essential that the public sector, private sector, and civil society as a whole work together. Just as the development of public infrastructure was a critical foundation supporting corporate growth in traditional industrial revolutions, its role remains unchanged in the co-creation era. Reliable authentication systems and KYC (Know Your Customer) processes provided by public infrastructure are prerequisites for AI systems to function accurately and fairly. For example, in the PM Kisan service deployed by the Indian government for farmers, digital infrastructure seamlessly connects everything from farmer authentication to transactions and creates an environment where farmers can express their intent in their own language.
The development of this kind of digital infrastructure gives rise to a new process — not the traditional "one-way" service delivery, but one in which users and systems jointly create value. Furthermore, as L'Oréal's example demonstrates, companies are now using AI factories, digital twins, and simulation technologies to deliver personalized products tailored to customers' condition on any given day and their environment. For example, L'Oréal's Perso system has been introduced as a system that suggests optimal skincare products and cosmetics based on consumers' own photos and environmental data. Products are reproduced not in physical factories but on devices and apps within consumers' homes, reflecting needed information in real time to deliver high-quality, highly individualized services.
At the same time, the rapid spread of such systems is also bringing new risks to the surface — including energy consumption, privacy, and security concerns. According to NIST (National Institute of Standards and Technology), the risks posed by generative AI are more diverse than those of conventional technology, so companies need to strengthen their management of these risks, requiring a new approach that simultaneously manages risk and creates value. Companies must use both transparency and governance to maintain user trust even in this complex environment.
The concept of tokenized digital intelligence also represents an important turning point reminiscent of the Industrial Revolution itself. Just as traditional factories used electricity as their power source to streamline manufacturing processes, modern AI factories convert computing resources and data into intelligence tokens — which then interact across various systems to co-create interactions. These tokens form the foundation for companies to respond to markets and customers more flexibly and quickly, enabling seamless service delivery while also holding the potential to transform the organization-wide decision-making process itself. This new system of intelligence, realized together with digital public infrastructure, has the potential to provide a fair and efficient arena for value exchange for companies, local governments, and individual consumers around the world — and there is no doubt that it will have a major impact on future economic activity and social structures.
In this way, the use of digital public infrastructure and intelligence tokens paints a picture of the future — functioning not merely as a technological innovation but as the foundation for value co-creation across the economy and society as a whole. Going forward, companies will be required to abandon traditional fixed product and service delivery models and develop the flexibility to respond to real-time environmental changes and user needs. Finding the path to realize future digital transformation — while grappling with the seemingly contradictory challenges of technological innovation and ensuring safety and transparency — has become an urgent task.
Organizational Evolution and Management Redesign: The Co-Intelligence That Will Define the New Enterprise Era
Traditional organizational management has relied on top-down command structures and fixed processes, with management methods focused on quality control and productivity improvement. In today's era of co-creation, however, the very nature of organizations and management methods are being pressed for fundamental review. The companies of the new era must be redesigned not merely as entities that provide products and services, but as "co-creative living organisms" — dynamic systems that continuously change like living entities.
In new organizational structures, each individual at every level is required to actively participate in frontline decision-making and creative problem-solving rather than playing a passive role. For example, in one manufacturing company, a system has been introduced in which frontline workers use digital twin technology based on real-time sensor data and customer feedback to simulate production lines — discovering improvement opportunities that would have gone unnoticed before and implementing countermeasures immediately. By introducing systems like this, not only executives but each employee can contribute to problem-solving based on their own intuition and experience, establishing an organizational structure that is both flexible and highly coordinated.
From the perspective of co-creation in particular, it is important to view users and customers as part of the organization and to create mechanisms for immediately reflecting their feedback. For example, in the financial industry's digital transformation, cases are increasing in which traditional fixed account-opening and loan application processes are being redesigned as customized procedures tailored to each user's life experience. This enables customers to instantly receive services appropriate to their situation, while companies can flexibly respond to real-time market changes. In educational settings as well, personalized learning tailored to each student's learning style and pace is being realized — attracting attention for a learning environment that transcends the traditional uniform educational model and grows together.
For organizations to adapt to such environments, management systems themselves need to be fundamentally redesigned. Rather than traditional performance-based management or fixed compensation structures, flexible indicators that evaluate the process of creative value co-creation by each individual should be introduced. For example, real-time performance evaluation mechanisms that respond to project progress and market feedback are being introduced, and managers are required to evaluate the "experiential value" that each employee creates and reflect it in future improvement initiatives. The introduction of co-creation tools that enable employees at each level to participate in decision-making, and AI-powered dialogue systems, will dramatically improve company-wide coordination.
The key to this transformation is not to be constrained by fixed frameworks, but to continuously promote fluid information sharing and collaboration within the organization. For today's business leaders, cultivating an environment within the entire organization that nurtures co-creation is an indispensable strategy for differentiating from competitors. For example, systems called digital twins — in which virtual space and real factories operate in real time — have been found to dramatically reduce the time devoted to trial and error in manufacturing line improvements and troubleshooting. The introduction of these advanced technologies plays an extremely important role not only in internal organizational decision-making but also in collaborative work with external stakeholders.
In co-creative organizations, risk management also changes substantially from conventional frameworks. In the new environment, not only security and privacy risks but also risks related to the quality of the experience in dialogues with users and to real-time decision-making processes come to the fore. For example, risks include users coming to depend on incorrect information in their dialogue with AI, and uncertainty arising from system fluctuations. For these, companies are required to build systems capable of rapidly responding to risks through flexible simulation and pre-emptive measures via digital twins, as well as real-time feedback loops. Management must view these risks not as mere obstacles, but as opportunities for continuous improvement through dialogue with users, and must cultivate a mindset across the organization of confronting risks together.
In this way, the era of Co-Intelligence provides an opportunity to innovate the internal structures and management processes of enterprises themselves. By enabling every organizational level to coordinate flexibly and creating an environment in which frontline creative initiatives are directly linked to overall productivity gains, companies can achieve new innovations that go beyond mere efficiency. The transition to a new co-creative living organization raises fundamental questions about conventional management methods and culture, while clearly pointing the direction that future enterprises should aspire toward. Each company must now establish a new value creation framework centered on co-creation while flexibly adapting to changing market conditions going forward.
Summary
The co-creation revolution discussed in this article represents not just the arrival of advanced AI technology, but a new concept in which humans and machines seamlessly collaborate to jointly create experience and value. By transcending traditional fixed value-exchange models and incorporating users' life experiences and real-time feedback, the quality of products and services improves fundamentally. The use of digital public infrastructure and intelligence tokens enables the delivery of personalized experiences, laying the foundation for various organizations — including enterprises, local governments, and educational institutions — to ride the new wave of transformation. Furthermore, management systems within organizations themselves also need to evolve away from fixed management methods toward flexible mechanisms that can reflect the opinions and experiences of each individual. In this new era of co-creation, establishing transparent governance and flexible operating policies while addressing both risk and opportunity will be indispensable not only for enterprises but for the flourishing of society as a whole. The diverse transformations that accompany technological progress bring us new possibilities and challenges — but at their core lies the universal theme of how to respect the richness of human experience and jointly create value. Going forward, we will be called upon to share a vision for how to harness this co-creation revolution and open the future of our own organizations and society — and to steadily make it a reality.
Reference: https://www.youtube.com/watch?v=Kz1dXcs8zMY
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