22/09/2026
Being Topper Expands From Digital Capability to AI Readiness
Founded in 2013, the Indian capability institution is broadening its work from digital capability and digital marketing toward AI-era capability, decision-making, systems thinking, responsible technology adoption and ex*****on maturity.
NEW DELHI: Being Topper, founded in 2013 in India, is expanding from its roots in digital capability and digital marketing into a broader role as a Global Capability Institution for the AI Economy. Its current institutional framework brings together AI and digital capability, professional and career readiness, entrepreneurship and business capability, market and ex*****on capability, systems thinking and decision capability, and institutional AI and digital capability. https://beingtopper.net/about/
The institution's evolution reflects a shift from developing primarily digital capabilities toward addressing the broader requirements created as AI becomes integrated into professional, business, educational and institutional environments. Its current approach places emphasis not only on access to technology or familiarity with individual tools, but also on decision capability, systems thinking, responsible technology adoption and ex*****on maturity.
Founded by Vipin Khuttel, Being Topper developed from work in the digital economy and professional capability before expanding toward AI-era capability, institutional readiness and the changing nature of work. Khuttel is currently identified by the institution as its founder and an institutional digital and AI capability Architect.
From Digital Capability to AI-Era Capability
Being Topper's institutional journey began during a period when digital technology was changing professional work, markets and access to opportunity.
The institution's current account of its evolution places its foundation in 2013, followed by academic and ecosystem participation, expanded professional capability pathways, AI integration frameworks and, more recently, an expansion toward AI-era capability infrastructure and institutional governance.
The shift toward AI does not replace the institution's digital foundation.
Instead, it extends it.
Digital capability remains necessary for operating in contemporary professional and commercial environments. AI introduces another layer: people and organizations increasingly need to understand how AI changes workflows, decisions, responsibilities and operating systems.
That creates a capability requirement broader than tool familiarity.
The Capability Gap Beyond AI Tools
The rapid expansion of AI access has made individual tool proficiency increasingly available.
But access does not necessarily demonstrate capability.
An individual may know how to generate content, analyse information or use an AI assistant without necessarily being able to determine:
when AI should be used;
whether an output is reliable;
what context may be missing;
how an AI-enabled workflow should be designed;
when human judgment should override an output;
or how to execute responsibly when conditions change.
Being Topper's current institutional model therefore describes itself as a post-tool, post-platform capability layer, operating between changing AI infrastructure and human application. Its stated focus includes decision capability, systems thinking and ex*****on maturity.
Why AI Readiness Is Expanding
The broader Indian environment is also moving toward a more comprehensive understanding of AI capability.
Government initiatives during 2026 have expanded AI education and skilling across schools, higher education and workforce development.
The Ministry of Education has stated that Computational Thinking and Artificial Intelligence curriculum is being introduced for Classes III to VIII from the 2026–27 academic year, with higher-grade AI and allied-subject curricula also being developed. The curriculum includes logical reasoning, pattern recognition, algorithm design and data literacy, alongside responsible and ethical AI. (source : Press Information Bureau)
In higher education, the Ministry of Electronics and Information Technology has also been working with industry on an AI curriculum revamp focused on practical exposure, industry-integrated learning, faculty development and shared infrastructure. (source : Press Information Bureau)
Workforce capability is developing in parallel. The Government's SOAR programme was established to build foundational AI awareness and readiness among learners, educators and citizens, while subsequent initiatives have expanded AI qualifications and AI-enabled job-oriented skilling. (source : Press Information Bureau)
These developments create a wider environment in which AI readiness is no longer limited to technical specialists.
From Skills to Capability
The distinction is important.
A skill can describe the ability to perform a particular task.
Capability is broader: the ability to understand a situation, apply appropriate knowledge and tools, make decisions, act responsibly, learn from results and adapt as circumstances change.
Being Topper's current institutional position is built around that broader definition. Its public framework describes capability as the ability to operate effectively, rather than simply possessing a list of skills.
This is also why the institution's current model extends beyond AI capability alone.
Its capability areas include:
AI & Digital Capability — operating effectively within changing digital and AI environments.
Professional & Career Readiness — preparing individuals for changing professional requirements.
Entrepreneurship & Business Capability — developing the ability to build and operate in changing markets.
Market & Ex*****on Capability — connecting decisions with disciplined implementation.
Systems Thinking & Decision Capability — understanding dependencies, trade-offs and consequences across interconnected systems.
Institutional AI & Digital Capability — supporting organizations and institutions as technology changes their operating environments.
The Institutional Dimension
The expansion also reflects a change in where AI capability is required.
Individuals need to work with AI.
Professionals need to integrate AI into changing roles.
Entrepreneurs need to understand how AI affects markets and ex*****on.
Organizations need to determine how AI should enter workflows and decision systems.
Institutions need to consider capability, governance, responsible adoption and longer-term readiness.
That makes AI readiness a multi-level capability question rather than a single training category.
Being Topper's current institutional framework explicitly extends its work toward educational, public, research and other institutions around capability infrastructure, institutional transition and responsible technology adoption.
Capability for an AI-Integrated Economy
The institution's current positioning therefore represents an extension of its original digital capability foundation rather than a departure from it.
The progression can be described as:
Digital capability → professional capability → AI capability → institutional capability.
The underlying question remains the same:
How can people and institutions remain capable as technology, work and operating environments change?
The answer increasingly requires more than knowledge of individual platforms.
It requires the ability to understand systems, make decisions under uncertainty, apply technology responsibly and execute effectively.
The Role of Vipin Khuttel
Vipin Khuttel remains the founder and institutional authority associated with this direction.
His professional journey began in the digital economy before Being Topper was founded in 2013. The institution's current evolution reflects a progression from digital capability and professional development toward broader questions of human capability, institutional readiness and the changing nature of work in an AI-integrated economy.
The founder's role within the current structure is therefore connected to the institution's wider capability architecture rather than simply to individual training programmes.
A Broader Definition of AI Readiness
As AI becomes embedded across education, work, business and institutional systems, readiness increasingly involves several connected capabilities:
Understanding — knowing what AI systems can and cannot do.
Application — using technology appropriately within real contexts.
Evaluation — examining outputs rather than accepting them automatically.
Decision-making — retaining human judgment where responsibility remains with people.
Ex*****on — translating decisions into disciplined action.
Adaptation — continuing to operate as technology and conditions change.
This broader interpretation is consistent with the direction of India's emerging AI education and skilling ecosystem, where practical application, workforce readiness, responsible AI and broader AI literacy are increasingly being addressed alongside technical skills.(source : Press Information Bureau)
From Digital Capability to the AI Economy
Being Topper's current institutional identity reflects that progression.
Founded in 2013, Being Topper has evolved from digital capability and digital marketing into a Global Capability Institution for the AI Economy, developing decision capability, systems thinking, responsible technology adoption and ex*****on maturity for people and institutions navigating an increasingly AI-integrated economy.
The institution's current purpose is broader than teaching people how to use the latest technology.
It is focused on developing the capability required to work, decide, build and operate effectively as technology becomes increasingly integrated into the way individuals, organizations and institutions function.
Being Topper
Global Capability Institution for the AI Economy
Founded 2013
