Resources

The GenAI Divide: State of AI in Business 2025

Despite $30–40 billion in enterprise investment into GenAI, this report uncovers a surprising result in that 95% of organizations are getting zero return. The outcomes are so starkly divided across both buyers (enterprises, mid-market, SMBs) and builders (startups, vendors, consultancies) that we call it the GenAI Divide. Just 5% of integrated AI pilots are extracting millions in value, while the vast majority remain stuck with no measurable P&L impact. This divide does not seem to be driven by model quality or regulation, but seems to be determined by approach.

The AI responsibility gap: Why leadership is the missing link

This report highlights the critical role of leadership in aligning AI innovation with ethics, safety, sustainability, and inclusiveness. Based on insights from 2,300 senior leaders across 35 countries, the report underscores the urgent need for a leadership-driven mandate to balance innovation and responsibility. As GenAI investment surges, organizations must embed responsibility into AI’s foundations to unlock its full potential and ensure sustainable growth.

AI has arrived in the workplace and has the potential to be as transformative as the steam engine was to the 19th-century Industrial Revolution. With powerful and capable large language models (LLMs) developed by Anthropic, Cohere, Google, Meta, Mistral, OpenAI, and others, we have entered a new information technology era. This report explores companies’ technology and business readiness for AI adoption (see sidebar “About the survey”). It concludes that employees are ready for AI. The biggest barrier to success is leadership.

Agentic AI: Instilling the right balance

AI agents are set to make the promised impact of GenAI increasingly tangible. Using large language model (LLM) approaches and reasoning capabilities, they carry out tasks autonomously, creating value throughout the enterprise. In this guide, we explain the characteristics and technology behind agentic AI systems, their associated challenges, and the tradeoffs to consider before implementation. We also share domain- and industry-specific use cases.

Sustainable AI for a greener tomorrow

As AI adoption accelerates, so does the urgency to align technological advancements with environmental responsibility. Discover actionable strategies, real-world case studies, and cutting-edge solutions that redefine AI’s role in building a greener tomorrow. From reducing infrastructure emissions to optimizing energy efficiency, our comprehensive guide empowers organizations to embed sustainability into every stage of the AI lifecycle.

Controllers’ Guide to Artificial Intelligence (AI)

Artificial Intelligence (AI) is permeating business and organizations of all types and sizes. For those in the accounting and finance department, AI may have one of the most significant impacts on the way you work. In fact, companies have taken steps to implement artificial intelligence into their organization to deliver improvements for everything from fraud detection to simplifying the monthly close.

Modernizing AP: How AI Transforms Invoice and Payment Processing

Discover how AI streamlines invoice intake, coding, approvals, and payment, while improving accuracy and freeing your team for higher-value work. This practical guide explains the fundamentals of AI in Accounts Payable, how deep learning applies to real AP tasks, and what to expect as the technology continues to advance.