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Agentic AI at Google Cloud Next 2025: Shaping the Future of Work and the Skills We Need
Agentic AI at Google Cloud Next 2025: Shaping the Future of Work and the Skills We Need

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At this year’s Google Cloud Next 2025, Agentic AI wasn’t just another buzzword—it took center stage as the next leap in enterprise intelligence. Google’s unveiling of agent-driven systems signals a move beyond traditional AI, toward autonomous agents that can make decisions, collaborate, and act—without constant human intervention. For businesses and professionals alike, this is not just technological evolution; it's a transformation of how work gets done and what skills will define tomorrow’s leaders.

Agentic AI refers to systems that are goal-driven, adaptive, and capable of interacting with other agents or systems to accomplish tasks. Google’s demo featured a range of such AI agents:

  • Agent2Agent (A2A) Protocol, an open standard enabling AI agents to seamlessly coordinate tasks across platforms like Salesforce, Atlassian, and SAP.

  • Vertex AI Agent Builder, giving businesses tools to design and orchestrate custom multi-agent systems linked to enterprise data.

  • Gemini 2.0, Google's latest AI model that understands multimodal inputs (text, images, audio) and uses tools like a skilled teammate—not just a chatbot.

  • A new AI Agent Marketplace, offering pre-built solutions tailored for verticals from partners like Wipro, Accenture, and Cognizant.

These developments shift AI from being a passive tool to an autonomous co-worker, capable of handling workflows, customer queries, infrastructure diagnostics, and even cross-departmental collaboration.

The Agentic AI vision is clear: AI will no longer simply assist—you’ll delegate.

That means a rethinking of roles, teams, and competencies. Business transformation will be less about deploying tech platforms, and more about embedding intelligent, evolving agents into core business processes.

Industries like telecom, BFSI, healthcare, and logistics in India stand to benefit significantly—especially in operational efficiency, hyper-personalization, and adaptive decision-making.

As Agentic AI reshapes how organizations operate, the skills needed to lead and thrive will evolve too. Here’s what will matter most:

  • Agent-Oriented Thinking – Understanding how to frame business problems in terms of autonomous agents, goals, and interactions.

  • Prompt Engineering & Multi-Agent Design – Crafting instructions and workflows that enable AI agents to act independently yet collaboratively.

  • AI-First Strategic Leadership – Moving beyond “AI adoption” to AI-native business models where agility, experimentation, and automation are foundational.

  • Data-AI Fluency – Knowing how to harness, govern, and operationalize enterprise data in ways that empower intelligent agents.

  • Change Management & Responsible AI – Leading cross-functional teams through transformation while ensuring ethical, transparent use of autonomous systems.

India’s unique diversity, scale, and digital infrastructure make it a fertile ground for Agentic AI adoption. With tools like the Vertex AI Agent Builder and Google’s AI Agent Marketplace, Indian enterprises—from startups to public sector units—can build scalable, affordable, and inclusive AI-powered solutions.

It’s a strategic moment: the businesses that invest in agentic intelligence today will become the intelligent enterprises of tomorrow.

Agentic AI is more than a trend—it's a paradigm shift. As seen at Google Cloud Next 2025, we’re entering an era where AI doesn’t just support tasks—it leads them. Organizations must now prepare for this new reality by upskilling teams, reimagining workflows, and creating space for machines to think.

The future of business won’t be built by humans alone—or machines alone—but by the synergy of both.


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