The workplace of 2035 will not be defined by where people work, but by how work itself gets done in a world where humans and machines collaborate seamlessly. That insight emerged from ET Workplace 2035, a major conference held in Mumbai on August 20, 2026, where more than 300 business, technology, and workplace leaders gathered to examine the convergence of people, technology, and artificial intelligence.

The central tension facing enterprises today is stark: India's AI ambition is moving faster than organizational readiness. Companies are investing heavily in AI tools and platforms, yet many struggle to translate those investments into meaningful business outcomes. The real challenge, according to leaders at the conference, is not acquiring better technology but fundamentally redesigning the enterprise itself to operate in an AI-driven world.

What Does Enterprise Redesign for AI Actually Mean?

When executives talk about "enterprise redesign," they are not simply referring to adopting new software or hiring data scientists. Instead, they are grappling with four interconnected strategic choices that will shape the workplace for the next decade. These decisions cut across organizational structure, talent strategy, governance frameworks, and technology infrastructure.

The conference identified four critical decision areas that enterprises must address to build AI-ready organizations:

• Data Strategy: Organizations must decide how they will collect, manage, and govern data to fuel AI systems while maintaining security and compliance.
• Talent and Skills: Companies need to determine how to develop, recruit, and retain people who can work effectively alongside AI systems, not just technical specialists but entire workforces.
• Governance and Ethics: Enterprises must establish clear policies for how AI will be used, who is accountable for AI decisions, and how to ensure responsible deployment.
• Technology Architecture: Organizations require decisions about which AI tools to build, buy, or partner on, and how to integrate them into existing systems.

These are not one-time decisions but ongoing choices that will evolve as AI capabilities mature and organizational capabilities develop. The leaders at ET Workplace 2035 emphasized that the enterprise built today will determine the workplace of tomorrow, making these decisions consequential for long-term competitiveness.

How to Build a Skills-First AI Enterprise?

One of the most significant themes to emerge from the conference was the concept of a "skills-first AI enterprise." This approach prioritizes developing and deploying human talent as the foundation for AI success, rather than treating people as secondary to technology implementation. The leadership mandate is clear: organizations must invest in upskilling their existing workforce and creating pathways for employees to work effectively with AI systems.

Building a skills-first enterprise involves several practical steps:

• Workforce Assessment: Evaluate current employee capabilities and identify skill gaps that AI adoption will create or exacerbate across departments.
• Continuous Learning Programs: Establish training initiatives that help employees understand AI tools, learn how to collaborate with AI systems, and develop new competencies required in an AI-augmented workplace.
• Role Redesign: Reimagine job descriptions and career paths to reflect how work will change when AI handles routine tasks, freeing humans to focus on higher-value activities like strategy, creativity, and relationship management.
• Cross-Functional Collaboration: Create structures where HR, IT, and business leaders work together to align talent development with AI transformation initiatives.

Why Is IT Services Positioning AI at Scale as the Next Frontier?

India's IT services industry, which has long been a global leader in technology outsourcing and digital transformation, is now confronting a new challenge: making AI work at scale. The conference highlighted that moving AI from pilot projects and experiments to enterprise-wide deployment represents the next frontier for IT services firms.

This shift requires IT services companies to move beyond proof-of-concept projects and deliver AI solutions that integrate seamlessly with existing business processes, handle real-world data complexity, and deliver measurable return on investment (ROI). The challenge is not just technical; it involves helping clients redesign their organizations, retrain their workforces, and establish governance frameworks that allow AI to operate responsibly at scale.

For enterprises, this means that successful AI adoption will increasingly depend on partnerships with service providers who understand not just AI technology but also organizational transformation, change management, and business strategy. The conference underscored that IT services firms that can help clients navigate these broader organizational challenges will be better positioned to capture value from the AI wave.

What About AI and India's Job Market?

A critical concern raised at ET Workplace 2035 was whether AI will create or destroy jobs in India. The consensus among leaders was nuanced: AI itself will not necessarily create a jobs crisis, but it could deepen existing inequalities if organizations do not invest in workforce development and transition support.

The risk is that AI adoption could accelerate job displacement in routine, repetitive roles while simultaneously creating new opportunities in AI-adjacent fields like data science, AI ethics, and human-AI collaboration. Without deliberate investment in reskilling programs and career transition support, workers in vulnerable roles could face displacement without clear pathways to new employment. This is why the "skills-first" approach to enterprise AI is not just a business strategy but a social imperative for India's economy.

The conference made clear that the enterprises that succeed in the AI era will be those that treat workforce development as central to their AI strategy, not as an afterthought. This requires leadership commitment, investment in training and development, and a willingness to redesign work itself rather than simply automating existing processes.

As organizations move forward with AI adoption, the lesson from ET Workplace 2035 is straightforward: the technology is the easy part. The hard part is redesigning the enterprise, rethinking how work gets done, and ensuring that humans and machines can collaborate effectively. The choices enterprises make today about data, talent, governance, and technology will shape the workplace of 2035 and determine which organizations thrive in an AI-driven world.