Strategy, governance, and the agentic future

Our “Leadership perspectives: AI realities” report centers on the emergence of agentic AI and its impact across industries. We also explore the growth of AI adoption, new use cases, and the challenges of scaling

Drawing from real-world AI applications and extensive interviews with Chief Data and AI officers from across industries, we’ve uncovered the current state of maturity, challenges, and breakthroughs in AI adoption. With 80% of organizations increasing their investments into their generative AI strategy, they face a new set of hurdles as they look to successfully scale and deploy AI for emerging use cases.

As organizations move from experimentation to enterprise-wide transformation, our report “Leadership perspectives on the state of AI” offers a grounded view of how generative and agentic AI are reshaping strategy and operations. This report explores how companies are navigating the complexities of AI adoption challenges – what is working, where the barriers lie, and how leaders are building at scale. For executives seeking to understand how AI is delivering measurable value and where it is falling short, this report provides a clear perspective, supported by data, on what it takes to lead in a rapidly evolving AI landscape.

To better understand how AI is being applied across industries, the report examines a range of use cases. These include generative AI use cases such as productivity tools, customer support, software engineering, and process automation. Each is examined through the lens of organizational maturity, contrasting late adopters with the average organization and industry leaders in how they structure and execute AI strategies. We also share practical insights on scaling, governance, and sustainability.

Explore “ Leadership perspectives: AI realities”

Get the latest insights on the trends, use cases, and challenges that are defining the world of AI, especially as new agentic processes emerge and companies seek to master scaling.

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Additionally, we analyze agentic AI use cases and how they are reshaping automation, customer experience, and product innovation. It’s important to note that large language models consume as much as 4,600 times the energy used by traditional natural language processing models, highlighting the significant environmental considerations in their adoption. Finally, we explore the biggest barriers to adoption and strategies for overcoming them.

Despite growing investment, many organizations still face basic challenges. Successful pilots fail to scale, while ROI is often poorly tracked, and many organizations underestimate the hidden costs of change management. And yet, the potential of AI is unmistakable. Our report helps business leaders anticipate the pitfalls and maximize the value from AI.

Organizations must adapt to evolving AI 

The constant evolution of AI means that organizations need to stay on top of insights to get the most value from their AI investments. They also need to consider new forms of governance, training, and security to become a leading AI organization that harnesses the most effective use cases.