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Data and AI

Rise of agentic AI:

How trust is the key to human-AI collaboration

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 Capgemini 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.

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Meet our experts

Sergey Patsko

Vice President – Data & AI Group Offer Leader ​
As a Digital Transformation strategist, Sergey leverages Data & AI to drive impactful change and deliver value. His expertise spans Artificial Intelligence, Industrial IoT, Data Science, Venture Capital, and Generative AI. Currently, as the leader of Data & AI Group offer, he is focused on Agentic AI and evolving the Data & AI Portfolio of services to generate significant business outcomes for Fortune 500 companies.

Anne-Laure Thibaud (Thieullent)

Executive Vice President, Data & AI Group Offer Leader
Choosing the right technology for the right usage is key, but how your company should change the way it acts around data is vital. My passion is to bring technology, business transformation and governance together and take our clients to where they want to be as Intelligent Enterprises, while cultivating the values of trust, privacy and fairness.

Marc Chemin

Global Sales Officer at Insights & Data Global Business Line

Mark Oost

AI, Analytics, Agents Global Leader
Prior to joining Capgemini, Mark was the CTO of AI and Analytics at Sogeti Global, where he developed the AI portfolio and strategy. Before that, he worked as a Practice Lead for Data Science and AI at Sogeti Netherlands, where he started the Data Science team, and as a Lead Data Scientist at Teradata and Experian. Throughout his career, Mark has worked with clients from various markets around the world and has used AI, deep learning, and machine learning technologies to solve complex problems.

Itziar Goicoechea

Agentic AI for Enterprise Offer Leader
Itziar is a tech-savvy professional who’s all about results. With extensive experience across e-commerce, technology, and pharma industries, she has a proven track record of not just designing, but implementing data-driven strategies that create impact. From crafting machine-learning techniques and driving business growth to leveraging large data-sets for actionable insights, she thrives on turning complex challenges into high-impact solutions. Itziar has been instrumental in guiding impactful projects, building high-performing teams, and providing training and mentoring in data science and machine-learning.