The Gartner IT Symposium/Xpo 2025 in Kochi opened with insights from Gartner analysts, setting the tone for a transformative week focused on AI readiness, automation, cybersecurity governance and strategic predictions for 2026. Day 1 brought a series of compelling sessions that outlined how CIOs can advance enterprise value, manage emerging risks and prepare their organizations for the next phase of digital evolution.
Below is a detailed overview of the top announcements and thought leadership shared during the opening day.
Opening Keynote: Walking the Golden Path to Value
Arun Chandrasekaran, Distinguished VP Analyst, Gartner, and Galliopi Demetriou, VP Analyst, Gartner, in the opening keynote, said that CIOs must strike the right balance between AI readiness and human readiness to unlock the next level of enterprise value. They urged leaders to avoid extreme viewpoints that either dismiss AI entirely or embrace it blindly.
Key Takeaways
Avoid the extremes of disbelief or hype around AI readiness. Instead, follow a balanced golden path that focuses on both AI capabilities and human capabilities.
Enterprises should appoint a dedicated AI leader to guide strategy, governance and value creation.
CIOs must evaluate AI readiness across the organization and manage hidden costs that can hinder scale.
Building human readiness requires strengthening critical skills and managing the behavioral impact of AI adoption.
Sustaining long-term AI value will require enterprises to prepare for an emerging era of autonomous business.
Future of Automation: Will AI Agents Replace My Bots
Saikat Ray, VP Analyst, Gartner, addressed one of the most urgent questions among CIOs today: whether AI agents will disrupt or replace traditional robotic process automation. He clarified that while AI agents introduce new possibilities, they do not eliminate the need for existing automation tools.
Key Takeaways
AI agents will not replace RPA bots, but they will reshape the automation landscape for enterprises that are unprepared.
Organizations should prepare for a hybrid environment where AI agents complement and enhance automation workflows.
AI agents offer higher value in low frequency, high value use cases where traditional bots show limitations.
Understanding the differences in adaptability, autonomy and functionality is essential to selecting the right automation method.
Orchestration will become the central capability that allows humans, bots and AI agents to collaborate effectively.
How to Increase Board Confidence in Cybersecurity
Kristin Moyer, Distinguished VP Analyst, Gartner, highlighted the troubling reality that most non executive board members lack confidence in their ability to oversee cybersecurity threats. She explained how CIOs and CISOs can build trust by aligning cybersecurity programs with business outcomes rather than focusing solely on breach reduction.
Key Takeaways
Ninety percent of non executive board directors lack confidence in cybersecurity value.
Sense maker CIOs and CISOs can bridge the gap by helping boards understand realistic protection levels and cost trade offs.
Fewer breaches will not build trust unless cybersecurity is tightly aligned with business priorities.
Transparency about exposure levels, even when uncomfortable, enhances board confidence and improves resilience.
Signature Series: Top Strategic Predictions for 2026 and Beyond
Ganesh Ramamoorthy, Managing VP, Gartner, unveiled Gartner’s predictions for 2026 and the years ahead. He urged CIOs to treat these predictions as a call to action as competition intensifies and AI driven business models reshape industries.
Key Takeaways
Through 2026, half of global organizations will require AI free skills assessments due to declining critical thinking skills driven by generative AI use.
By 2027, thirty five percent of countries will be locked into region specific AI platforms fueled by proprietary contextual datasets. Model distillation can help reduce dependency.
By 2028, organizations using multiagent AI for eighty percent of customer facing processes will dominate their sectors.
By 2028, ninety percent of B2B buying will happen through AI agent intermediaries, moving over fifteen trillion dollars in global B2B transactions.
By the end of 2026, legal claims tied to damaging AI outcomes will exceed two thousand cases. Strong AI risk guardrails and contingency funds will be required.
Conclusion
Day 1 of Gartner IT Symposium/Xpo 2025 Kochi delivered strong guidance for CIOs navigating a landscape shaped by AI acceleration, rising automation complexity, expanding cyber risks and shifting global technology dynamics. As the week progresses, the symposium will continue offering actionable insights to help technology leaders build resilient, high value digital enterprises.
The second day of Gartner IT Symposium/Xpo 2025 in Kochi delivered a series of high impact discussions focused on the realities of AI adoption, the challenges of emerging regulatory frameworks and the evolution of digital business strategies. With CIOs under pressure to secure long term value from AI programs, Day 2 offered practical guidance from Gartner analysts on how to overcome failures, manage compliance and prepare for the next phase of enterprise transformation.
Below are the major announcements and insights from Day 2.
India IT Spending to Cross $176 billion in 2026
Gartner announced that IT spending in India is expected to surpass $176 billion in 2026. The growth is driven by accelerated digital modernization, expanded cloud investments and rising enterprise adoption of AI technologies.
Top Reasons Why Generative AI Projects Fail and How to Fix Them
Arun Chandrasekaran, Distinguished VP Analyst, Gartner, explained why many enterprises struggle to extract meaningful value from early generative AI pilots. He highlighted the frequent technical, organizational and governance gaps that cause these projects to stall and offered a practical framework to scale AI responsibly.
Key Takeaways
The biggest risk today is taking no risk at all. Waiting for AI uncertainty to clear will leave enterprises behind.
Reason 1: GenAI Alone Is Not Enough
A composite approach to AI that blends multiple techniques can deliver more reliable value.
Reason 2: Technology Obsolescence
Prevent obsolescence by choosing the right techniques, building a composable AI platform and ensuring AI ready data.
Reason 3: Responsible AI Treated as an Afterthought
Responsible AI must sit at the center of all generative AI initiatives. Leaders must identify where AI should be applied and where it should not.
Reason 4: Low Investment in Data and AI Literacy
Strengthen data and AI literacy with personalized, hands on training programs that focus equally on doing and knowing.
The State of AI Regulation: How to Build a Unified Strategy
Anushree Verma, Sr Director Analyst, Gartner, said CIOs face growing pressure to remain compliant without slowing innovation as new AI regulations emerging globally at the same pace as new AI models. She provided clarity on how enterprises can prepare for a fragmented regulatory future while continuing to scale AI responsibly.
Key Takeaways
Most AI laws follow a similar structure. They define what AI is, create one or more risk tiers and assign compliance obligations for each tier.
When deploying high risk AI systems, enterprises must implement a risk management program that tracks performance, monitors usage and mitigates identified risks.
Data quality is crucial for both training and decision making. Enterprises should continuously monitor the quality of the data used in high risk AI systems.
Establish human oversight processes to ensure that high risk systems operate within acceptable parameters.
Build AI training and literacy programs so users can understand risks and report issues when systems behave outside expected boundaries.
Conclusion
Day 2 of Gartner IT Symposium/Xpo 2025 Kochi provided CIOs with clear guidance on why generative AI efforts fail, how to apply responsible AI design and how to navigate rapidly changing regulatory expectations. As digital business strategies evolve, Gartner analysts emphasized that success will depend on strong governance, data maturity and a culture that embraces continuous learning.
Rajani Baburajan
