The Emerging Technology and Generative AI Forum: How AI is transforming professional services

Key takeaways:

Human oversight and ethical standards are essential – Successful AI integration into professional services requires strong human oversight and clear ethical guidelines to ensure trust, accuracy and responsible innovation.

Customer-centric strategies drive value – Organizations must align AI adoption with specific business goals and customer needs, focusing on pragmatic data organization and workflow improvements rather than pursuing technology for its own sake.

Agentic AI and human-in-the-loop learning are transforming workflows – The rise of agentic AI systems and human-in-the-loop machine learning enables more adaptive, efficient and innovative solutions, but these technologies must be carefully managed to balance automation with human expertise.

AUSTIN, Texas – As professional services organizations stand at an unprecedented inflection point, AI has evolved from a promising technology to a force that is fundamentally reshaping how they deliver value to customers.

The Thomson Reuters Institute’s (TRIs) recent 2025 Emerging Technology and Generative AI Forum delved deeper into this situation by bringing together industry leaders, technologists, academics and visionaries to explore the transformative impact of AI on professional services.

The current state of AI in professional services

The Forum’s opening panel, Hello World! The state of emerging technology and generative AI set the stage by emphasizing that the most value in AI lies in data consistency, gradual digital transformation and human oversight during implementation. A striking statistic that emerged from the discussion showed that in a recent survey, 91% of service professionals say they believe AI should be held to higher accuracy standards than human work. This highlights a critical reality – trust and data protection remain top concerns across the board.

Panelists emphasized the importance of aligning AI strategies with specific business objectives to maximize value creation. Indeed, they explained, rather than pursuing AI adoption for its own sake, organizations should focus on prioritizing the critical factors that enable implementation, while harnessing AI’s potential to ensure the positive change and innovation the technology promises.

Exploration of agentic AI systems

The second panel, AI on Autopilot: Exploring the Rise of Agentic AI and its Potential within Professional Services, delved into one of the most exciting frontiers in AI development. Panelists discussed how professional service leaders must adjust expectations around AI’s capabilities, primarily by breaking down complex problems into manageable pieces and measuring AI’s impact with quantifiable data.

In fact, a recurring theme throughout the Forum was the critical importance of keeping people informed. Panelists emphasized that AI agents do their best work with adequate oversight, and organizational leaders need to understand risk factors before deploying AI agents in production environments, especially those involving any customer-facing matters.

The conversation also touched on alternative fee arrangements, exploring AI’s dual role as both assistants and autonomous agents and how professional service leaders must harmonize technology with increased workflow management.

Man-in-the-loop learning

Prof. Peter Stone, Truchard Foundation Chair in Computer Science at the University of Texas–Austin and Principal Scientist at Sony AI, delivered a compelling speech at the Forum, entitled Human-in-the-Loop: Machine Learning for Robot Navigation and Manipulation. Prof. Stone’s research explores how to create autonomous intelligent agents that adapt, interact, and embody complex, human-like behaviors. He also demonstrated these abilities through touching videos of robots playing soccer and mastering Tetris.

Prof. Stone’s work has significant implications for several applications, including healthcare and manufacturing—fields in which intelligent robotic systems can transform operational efficiency and innovation. His emphasis on the importance of training with the human-in-the-loop clearly demonstrated that we remain in the nascent stages of agentic machine learning, despite such great development over the past decade.

Customer-centric technology strategy

The panel, Wired for Success: Creating a Forward Focused, Client Centric Technology Strategy, explored how professional services firms can develop technology strategies that both improve client engagement and drive value creation. Panelists emphasized the need to ensure that AI’s work is thoroughly vetted, treating the innovative technology like any other employee.

Panelists also acknowledged the challenge of organizing data prior to implementing the technology, but determined that this particular technology does not need to be perfect to speed up workflow. Rather, organizational leaders need only ensure that their metrics reflect a realistic qualification of value. This pragmatic approach recognizes that organizing data to make it AI-compatible—especially in the legal technology industry—are essential steps in the journey to effective AI adoption.

Ethical considerations in AI development

The final panel, A Unified Field: Ethical Considerations Amidst AI Development and Deployment, tackled one of the most critical aspects of AI adoption: The need for a strong ethical foundation for AI use. Panelists emphasized the need for organizations to establish clear guidelines and leverage diverse perspectives for ethical AI practices.

As AI continues to evolve into highly personal applications such as facial recognition technology, ethical decisions become less straightforward. The panel explored questions about the next generation’s interaction with AI, including whether it is ethical to harness AI to teach children through new educational approaches

Panelists also emphasized that ethical AI is a collective responsibility that falls on all users’ shoulders, setting the stage for a future in which AI development is both responsible and visionary.

The AI-enabled way forward

TRI’s 2025 Emerging Technology and Generative AI Forum determined that successful AI implementation requires more than technological sophistication – it requires a holistic approach that includes data strategy, talent development, customer engagement and an unwavering commitment to ethical standards. The future of professional services will not be defined by whether firms adopt AI, but by how thoughtfully and strategically they integrate these transformative technologies into their core operations.

The insights shared by the Forum further underscore a fundamental truth: As professional service firms navigate this transformation, the frameworks and strategies discussed provide a roadmap for sustainable innovation that enhances rather than replaces human expertise. The ethical considerations discussed are not simply compliance requirements, but rather fundamental principles that will determine whether AI serves as a force for positive transformation or something else entirely.

Forum attendees took away the importance of leveraging AI’s potential while maintaining the trust, transparency and human judgment that customers expect from their most critical business partnerships. Indeed, the way forward requires continued collaboration, shared learning, and collective commitment to responsible innovation that truly serves humanity’s best interests.