TLDR: Capgemini and Google Cloud recently hosted their third global virtual hackathon, focusing on Agentic AI. Over 800 innovators participated, submitting more than 100 projects. Nine finalists presented their solutions on June 26, 2025, demonstrating the practical application of autonomous AI in enterprise settings. The event highlighted the rapid advancement of agentic AI and its potential to drive significant business value.
Capgemini and Google Cloud have successfully concluded their third global virtual hackathon, a significant event that brought together over 800 innovators from across Capgemini’s global network. The hackathon, which ran from June 9 to June 27, 2025, focused exclusively on Agentic AI, challenging participants to develop minimum viable products (MVPs) addressing high-priority use cases directly sourced from Capgemini clients. The initiative underscores the accelerating ‘agentic era’ in AI, where intelligent agents move beyond reactive tools to become proactive, autonomous systems capable of understanding, anticipating, and acting independently.
From more than 100 submissions, nine standout projects were selected to advance to the final round. These finalists showcased their innovative solutions during a Demo Day and Awards Ceremony held on June 26, 2025. The insights gleaned from this event are expected to help clients accelerate their digital transformation through intelligent, autonomous systems that emphasize human-AI collaboration.
Participants leveraged Google Cloud’s cutting-edge Agentic AI capabilities, including Vertex AI, Gemini, Customer Engagement Suite, and the Agent Development Kit. This access enabled them to prototype advanced applications that seamlessly integrate human ingenuity with autonomous execution. The most promising prototypes from the hackathon may be further developed and piloted within client environments post-event.
Anirban Bose, CEO of Americas SBU, Capgemini, emphasized the immediate impact of this shift, stating, “One of the key takeaways is the agentic era has already arrived; our clients and their enterprises are excited to bring this innovation to life, creating business value in their organizations and for their customers.” This sentiment was echoed at Google Cloud Next 2025, where Capgemini, as a Google Cloud partner, highlighted the agentic era as a present reality unfolding faster than anticipated.
Successful deployment of AI agents, as identified in Capgemini’s latest Agentic AI CRI report, relies on four foundational pillars: defining the agent’s role and scope, ensuring access to relevant real-time data, specifying actionable capabilities (e.g., triggering workflows, calling APIs), and establishing robust guardrails for safe and ethical operation. These pillars are crucial for building intelligent agents aligned with business goals and governance standards.
Despite the rapid adoption, trust in fully autonomous AI agents has seen a slight decrease, with only 27% of organizations currently expressing full trust, down from 43% a year ago. This indicates a maturing understanding of the complexities and limitations inherent in agentic systems. However, industry predictions remain strong; Gartner forecasts that by 2028, 33% of enterprise software applications will incorporate agentic AI capabilities, a significant leap from less than 1% in 2024.
Google Cloud is playing a pivotal role in this transformation, offering tools like Vertex AI Agent Builder for creating deployable agents, Agentspace for human-AI collaboration, and Data Agents for conversational data interaction. These tools are instrumental in moving enterprises from experimental phases to full-scale, enterprise-grade deployments.
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The economic impact of agentic AI is projected to be substantial, with the Capgemini Research Institute’s report, “Rise of agentic AI,” estimating up to $450 billion in economic value by 2028 through revenue uplift and cost savings across surveyed countries. Early adopter organizations are already integrating AI agents into their operations, with a projected 48% growth in agentic AI projects by the end of 2025, and an average 1.7x return on AI investments.
