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AI agents are no longer just a concept – they are becoming a core part of enterprise operations, reshaping business models, workforce dynamics, and competitive advantage.

Rise of agentic AI: How trust is the key to human-AI collaboration, a new report from the ÎÚÑ»´«Ã½ Research Institute, explores the emergence of AI agents as a transformative force in business. Drawing on insights from a survey of 1,500 senior executives across 14 countries, the report examines adoption trends, economic impact, trust dynamics, and the organizational shifts required to scale agentic AI effectively.

Key findings from the report include:

• A $450 billion opportunity: By 2028, AI agents could generate up to $450 billion in economic value through revenue growth and cost savings across surveyed markets.
• Adoption is accelerating – but maturity remains low: 2% of organizations have deployed AI agents at scale, 12% at partial scale, while 23% have launched pilots and 61% are exploring deployment. 15% of business processes are expected to reach semi- or full autonomy in the next 12 months. However, fewer than one in five organizations report high maturity with respect to data and technology infrastructure needed to implement agentic AI.
• Trust in fully autonomous AI agents is declining, dropping from 43% to 27% in one year. Ethical concerns, lack of transparency, and limited understanding of agentic capabilities are key barriers.
• Human-AI collaboration is the future: By 2028, 38% of organizations will have AI agents as team members within human teams. Blended teams – where humans and AI agents collaborate – will become the norm, driving productivity and innovation.

The report is a key resource for senior executives in data and AI, strategy, innovation, finance, IT, and risk and compliance functions, providing a roadmap for understanding the opportunities, risks, and organizational shifts required to scale agentic AI successfully. To unlock the full potential of AI agents, organizations must:

• Redesign processes and reimagine business models for agentic AI
• Transform workforce structures to support human-agent collaboration
• Balance autonomy with human oversight to build trust
• Strengthen data and technology foundations for scalability
• Align agent behavior with business goals, and ensure explainability
• Develop and integrate ethical AI to mitigate risks and build confidence.

As AI agents evolve from tools to teammates, organizations have an opportunity to lead the next wave of enterprise transformation. To explore how, download the Rise of agentic AI report today.