For all the conversation around artificial intelligence in the enterprise, there is a quieter, more consequential truth: most organizations haven’t actually changed how work gets done. They’ve added intelligence to the edges, but the core remains intact, structures, workflows, and decision-making models built for a different era.
That tension is precisely what the Future of Knowledge Work Summit 2026 sets out to address.
Taking place in Bengaluru on 17th June, the summit arrives at a moment when knowledge work itself is being redefined, not gradually, but fundamentally. For decades, work was divided neatly into the physical and the cognitive. Machines transformed the former; humans retained control of the latter. That distinction is no longer holding. AI is not just supporting knowledge work, it is participating in it.
The implications run deeper than efficiency gains. When intelligence becomes embedded in workflows, the nature of roles begins to shift. Decision-making compresses. Teams reorganize around problems rather than functions. And perhaps most critically, value is no longer created through effort alone, but through how effectively humans and machines operate together.
Yet for many leaders, the path forward remains unclear. The challenge is not a lack of tools or ambition, but a lack of coherence. What does an AI-enabled operating model actually look like? Where does one begin, and what, realistically, needs to change?
The registrations are now open.
The summit is designed to answer these questions without abstraction. Over the course of a single, tightly curated day, more than 300 enterprise leaders, AI practitioners, and transformation heads will come together to examine what is working in practice. Not in theory, not in isolated pilots, but within the constraints of real organizations.
The format reflects this intent. Keynotes set the context, but it is the practitioner-led panels, deep dives, and interactive sessions that carry the weight. Conversations move quickly from idea to implementation, how AI copilots are being deployed at scale, how knowledge systems are being reorganized, how leadership is adapting to faster, more distributed decision environments.
What distinguishes the experience is its insistence on usefulness. Attendees are not there to be persuaded that change is coming; they are there to understand how to navigate it. By the end of the day, they leave with working frameworks, clearer benchmarks, and a more grounded view of how leading enterprises are approaching this shift.
The audience is deliberately narrow: senior decision-makers responsible for shaping how work evolves within their organizations, CEOs, CHROs, CTOs, and CIOs.That focus lends the room a different quality, less performative, more pragmatic.
If the past few years have been about exploring what AI can do, the next phase is about deciding what work should become.
Registrations are now open.
That tension is precisely what the Future of Knowledge Work Summit 2026 sets out to address.
Taking place in Bengaluru on 17th June, the summit arrives at a moment when knowledge work itself is being redefined, not gradually, but fundamentally. For decades, work was divided neatly into the physical and the cognitive. Machines transformed the former; humans retained control of the latter. That distinction is no longer holding. AI is not just supporting knowledge work, it is participating in it.
The implications run deeper than efficiency gains. When intelligence becomes embedded in workflows, the nature of roles begins to shift. Decision-making compresses. Teams reorganize around problems rather than functions. And perhaps most critically, value is no longer created through effort alone, but through how effectively humans and machines operate together.
Yet for many leaders, the path forward remains unclear. The challenge is not a lack of tools or ambition, but a lack of coherence. What does an AI-enabled operating model actually look like? Where does one begin, and what, realistically, needs to change?
The registrations are now open.
The summit is designed to answer these questions without abstraction. Over the course of a single, tightly curated day, more than 300 enterprise leaders, AI practitioners, and transformation heads will come together to examine what is working in practice. Not in theory, not in isolated pilots, but within the constraints of real organizations.
The format reflects this intent. Keynotes set the context, but it is the practitioner-led panels, deep dives, and interactive sessions that carry the weight. Conversations move quickly from idea to implementation, how AI copilots are being deployed at scale, how knowledge systems are being reorganized, how leadership is adapting to faster, more distributed decision environments.
What distinguishes the experience is its insistence on usefulness. Attendees are not there to be persuaded that change is coming; they are there to understand how to navigate it. By the end of the day, they leave with working frameworks, clearer benchmarks, and a more grounded view of how leading enterprises are approaching this shift.
The audience is deliberately narrow: senior decision-makers responsible for shaping how work evolves within their organizations, CEOs, CHROs, CTOs, and CIOs.That focus lends the room a different quality, less performative, more pragmatic.
If the past few years have been about exploring what AI can do, the next phase is about deciding what work should become.
Registrations are now open.
