Agent AI is one of the fastest emerging technologies in business, which has the ability to produce $ 450 billion in economic value through revenue uplift and cost savings in countries surveyed up to 2028, Rise of Agentic AI: How Trust is the key to human-AI cooperation, New report from Capgeemini research institute A survey of 1,500 senior officials in 14 countries reveals insight on the emergence of AI agents as a transformational force in business.
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Major conclusions from Capgemini Report
- Opportunity of $ 450 billion: By 2028, AI agents can generate up to $ 450 billion in economic value through revenue growth and cost savings in surveyed markets.
- Adoption eclipse is accelerating, but maturity is low: Only 2% of organizations have deployed AI agents on a scale, partial scale 12%, 23% have launched pilots, and 61% are discovered. Fifteen percent of business procedures are expected to reach semi or complete autonomy in the next 12 months. However, one of the five organizations reports high maturation in relation to the data and technology infrastructure required to apply agent AI.
- Faith is declining in completely autonomous AI agents: It fell from 43% to 27% in a year. Ethical concerns, lack of transparency, and limited understanding of agent abilities are major obstacles. Ethical concerns around AI, such as data privacy, algorithm bias, and “AI Black Box” are prevalent, but some organizations act decisively to reduce them.
- Human-AI cooperation is the future: By 2028, 38% of organizations will have AI agents as team members within human teams. Mixed teams – where humans and AI agents collaborate – productivity and innovation will become ideal. This means that in three years, organizations expect AI agents as members of the human-revised teams; AI agents should not be seen as a tool, but as part of the team.
What are AI agents and agent AI?
Here is the definition of Capgemini: “AI agent is a program/platform/software that is associated with a business environment with a defined range, autonomously decide, and serve to achieve achievement with or without human intervention. AI agents with the latest advances, AI agents, AI agents, AI agents, are the possible routes to find those solutions, through the possible routes to find the potential passage. From.
Capgemini notes that the capabilities of AI agents are increasing rapidly, and the cost of operating and developing AI agents is decreasing. AI agents are one of the top technology trends for 2025.
Capgemini’s research from my 10 major takeaways
- Effect of AI agents on economy
AI agents can generate around $ 450 billion in total economic value in 14 countries conducted by 2028. Scale organizations are estimated to produce an average of $ 382 million (2.5%of annual revenue) over the next three years, while we expect others to generate around $ 76 million (0.5%of annual revenue). This applies to an average outfit with $ 15 billion in annual revenue. Capgemini hopes that the surveyed organizations collectively gained $ 19 billion in the next 12 months, with this figure, it is estimated to increase to $ 92 billion by the third year.
Other predictions outside Capgemini include:
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Goldman Sachs has predicted that General AI will increase US GDP by 6.1% in the next decade – by 2028, it translates to about 540 billion dollars in the US.
The IDC estimates that AI Technologies will affect 3.5% of the global GDP by 2030 in total – by 2028, it means the impact of about $ 1.9 trillion globally.
MIT research estimates that a combination of AI capabilities may be automatic around one-fifth (slightly more than 20%) of added tasks.
2. Professional belief in AI agents
An enough 93% estimate is that organizations successfully enhancing the implementation of AI agents within the next 12 months have gained competitive advantage.
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3. Adopting AI agents is increasing
Currently, 23% of organizations have introduced AI agent pilot projects, while 14% have progressed for partial or full -scale implementation. About 30% are searching for AI agents, and another 31% are preparing for experimentation or deployment within the next six to 12 months. In fact, the speed of AI agent adoption eclipse reflects the rapid trajectory seen with normal AI.
4. Business on your way to become autonomous
Many organizations that claim to implement AI agents are deployed solutions with limited autonomy. More than 85% of business procedures are expected to be at low levels of autonomy in the next 12 months. The industries noted in the Capgemini report include automotive, financial services, life science, telecommunications and retailing company with examples and use cases.
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The report states that 62% of companies like to partner with solution providers, such as Sales force And the system integrators, to apply or tailor already available AI agents. The prepared availability of in-built agents, the integration already existing with heritage systems, and the possibility of the flow of employees in using these devices are likely to contribute.
5. AI agents are developing future roadmaps
Capgemini found that 16% of organizations have developed a strategy and roadmap to implement agents AI. Research found that 39% of organizations do not have a strategy, but there are many initiatives in tasks to develop innovative solutions.
6. AI leadership is important to speed up AI agent roadmap
The requirement of dedicated leadership to maintain AI agent initiatives is also a priority, appointing 26% new leaders especially for AI agents and handing over this responsibility to 59% existing AI or General AI leadership.
7. Favorite agents AI pricing models vary vary
More than half of organizations prefer consumption-based pricing for AI models within AI agents. Consumption-based (55%), platform-based (43%), and license-based (37%) models are preferred pricing models among organizations for agent AI solutions.
8. Customer-facing business works are most likely to adopt AI agents
Customer services and support, IT, and sales are the tasks where most of the officials estimate that the AI agents will actively perform at least one process or sub-process within the next 12 months. These functions often include high versions of interactions, require accountability on accuracy, and relevant, dependent on conjunctive engagement.
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9. Completely autonomous professional capabilities are a long journey
Digital labor will handle a process by 2028, as AI agents are likely to handle at least one process or sub-process in 58% of business functions within three years. In the next 12 months, we expect AI agents with level 3 autonomy or higher for the management of 15% processes and sub -availability in each business function. This will increase by 25% within the next one to three years. Fully autonomous AI agents (level 5) are expected to handle about 4% of business procedures within three years. Capgemini said that in the next 12 months, it hopes that AI agents will make 6% of day-to-day decisions, growing up to 8% in one to three years. And 25% of the processes within a commercial function are expected to be handled by AI agents with level 3 or higher autonomy by 2028.
10. It is important to accelerate the adoption of confidence in AI agents
In AI agents, the implementation phase report above the average level of the trust in AI agents, compared to about half (47%) of organizations, compared to 37% which are still in the exploration phase. This strong correlation between confidence and implementation confirms that the Trust plays an important role in adopting AI agents. Only 22% of officers rely on autonomous AI agents for enterprise applications, below 43% in 2024. The difference is widening in the wrong direction.
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Decline in trust is not limited to AI agents; It is also spread to AI and General AI. Capgemini said that half organizations have insufficient knowledge of the abilities of AI agents. Employee skills and AI Infrastructure Maturity combines the lack of trust. Five of five (82%) organizations report a minimum maturation in dimensions such as computing, integration, orchestration, fine-tuning and cyber security.
Capgemini report ends with this powerful reminder:
“In this next wave of AI, the winners will not be those who only deploy more AI devices. Rather, they will be those who reconsider their business, resume the workflows, resume their workforce, restructure their organizations, and begin moral security measures.”
I believe that AI agents can represent the biggest technical impact on businesses. It is not about new technology. It is about a new world. The most successful and flexible business of the future will be AutonomousAutonomous businesses will have a hybrid workforce – human and digital labor takes advantage of AI agents to increase and advance human abilities. AI agents will be used for both cognitive transfer and cognitive elevation opportunities. Autonomous business will also take yourself in a position to take the best advantage New stability-demonstration business operations Model.
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To learn more about Rise of Agentic AI: How Trust is the key to human-AI cooperation report form Capita Research Institute, you can travel Here,
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