The State of AI Adoption in 2025
Three years since generative AI tools triggered a new era of artificial intelligence, nearly nine out of ten organizations are regularly using AI--but the pace of progress remains uneven. While AI tools are now commonplace, most organizations have not yet embedded them deeply enough into their workflows and processes to realize material enterprise-level benefits.
The share of organizations using AI in at least one business function has increased significantly: 88 percent report regular AI use in at least one business function, compared with 78 percent a year ago. However, at the enterprise level, the majority are still in the experimenting or piloting stages, with approximately one-third reporting that their companies have begun to scale their AI programs.
For businesses looking to stay competitive, understanding these trends is essential. Our AI and automation services help organizations move beyond experimentation to realize measurable business value. Additionally, exploring AI integration with CRM systems can accelerate the path from pilot to production.
AI Adoption by the Numbers
88%
Organizations using AI in at least one business function
62%
Organizations experimenting with AI agents
39%
Organizations reporting EBIT impact from AI
3x
High performers more likely to pursue transformative AI
The Rise of Agentic AI
Organizations are also beginning to explore opportunities with AI agents--systems based on foundation models capable of acting in the real world, planning and executing multiple steps in a workflow. 23 percent of organizations are scaling an agentic AI system, and an additional 39 percent have begun experimenting.
Where AI Agents Are Making an Impact
Agent use is most commonly reported in:
- IT: Service-desk management, automated troubleshooting
- Knowledge Management: Deep research, document synthesis
- Customer Service: Multi-turn conversations, complex queries
AI agents represent a shift from AI as a tool to AI as a collaborator. Where traditional automation follows predefined rules, agentic AI can understand context, make decisions, and take multi-step actions to achieve goals.
For content creators looking to leverage AI, understanding how to get started with AI as a content creator provides practical guidance on building AI-powered workflows. To explore how AI agents can transform your operations, learn more about our workflow automation solutions that leverage intelligent agents for complex business processes.
Organizations seeing the greatest impact from AI share common characteristics
Growth & Innovation Focus
High performers set growth and innovation objectives, not just efficiency goals
Workflow Redesign
Nearly 3x more likely to fundamentally redesign workflows for AI
Senior Leadership
Strong executive ownership and commitment to AI initiatives
Higher Investment
More than 20% of digital budgets committed to AI
Industrial AI Trends: From Factory Floor to Executive Suite
The Industrial Internet of Things (IIoT) has moved beyond trend to a standard way of doing business. Also called Industry 4.0 or smart manufacturing, the IIoT means connecting machines and devices for real-time data monitoring and creating smart, optimized operations.
Edge and Cloud Computing
Edge computing processes data closer to its source for real-time analysis, ideal for organizations without extensive on-site IT expertise. The major advantage is achieving fast response times with low latency. Many manufacturers integrate both edge and cloud computing--edge for real-time monitoring and machinery control, cloud for data analytics and storage.
Digital Twins
A digital twin is a virtual representation of a real-world object, system, or process. Users can simulate, monitor, and analyze behavior to optimize performance, make informed decisions, and predict potential issues before they occur. Future trends include managing intricate simulations from supply chains to smart cities, and using digital twins for sustainability initiatives.
AI-Powered Robotics
The IIoT and AI are accelerating robotic evolution. Enhanced flexibility and adaptability are making robots sophisticated collaborators. Collaborative robots (cobots) are designed to work alongside humans, improving efficiency and safety while being smaller, more affordable, and easier to program than traditional industrial robots.
As organizations navigate AI adoption, understanding the regulatory landscape for AI in the US is essential for compliance and risk management. For organizations looking to implement industrial AI solutions, our technology consulting services provide strategic guidance on selecting and integrating the right technologies for your operations.
Workforce Development: The Human Side of AI
A significant shortage of skilled workers remains a challenge. Organizations are implementing a multifaceted approach, leveraging technology and innovative methods to upskill their existing workforce.
Building AI-Ready Teams
- Upskilling Programs: Training in advanced technologies and processes
- Public-Private Collaborations: Partnerships between educational institutions and businesses
- Apprenticeships: Intensive, multiyear programs for technical skill development
Connected Worker Technology
Mobile and wearable technology extends access to information and control systems traditionally confined to control rooms. Using smartphones, tablets, and smart glasses with integrated cameras and sensors, connected worker technology provides:
- Access to manuals anywhere
- Equipment identification and lookup
- Real-time superimposed data
- Audio and visual links to subject matter experts
- Access to production availability information
Gathering customer feedback through strategic approaches can help organizations understand how AI implementation affects their workforce and customer relationships. Successful AI implementation requires investment in both technology and people. Our digital transformation services help organizations build the workforce capabilities needed to succeed with AI.