Summary
A new report from KPMG shows that while companies are spending huge amounts of money on Artificial Intelligence (AI), many are struggling to see a clear return on that investment. The survey found that global organizations plan to spend an average of $186 million on AI over the next year. However, only 11 percent of these businesses have successfully started using AI agents at a large scale. This gap suggests that simply throwing money at technology is not enough to guarantee success.
Main Impact
The biggest takeaway from the KPMG Global AI Pulse survey is the growing divide between "AI leaders" and other companies. AI leaders are those that have moved past just testing tools and are now using AI agents to change how their entire business functions. These leaders are seeing much better results because they do not just add AI to their old ways of working. Instead, they rethink their business processes from the ground up to make room for automated decision-making. This approach allows them to improve their profit margins and work more efficiently than their competitors.
Key Details
What Happened
KPMG looked at how global companies are handling AI. They found that while 64 percent of businesses say AI is helping them, the actual gains are often small. Most companies use AI for simple tasks like summarizing documents or helping write emails. In contrast, the top 11 percent are using AI agents. These are advanced systems that can coordinate work across different departments, make decisions without a human checking every step, and find problems in real-time. These agents are being used heavily in IT, engineering, and supply chain management.
Important Numbers and Facts
- Average AI Spend: Companies plan to spend about $186 million on AI in the next 12 months.
- Regional Spending: The Asia-Pacific (ASPAC) region leads with $245 million, followed by the Americas at $178 million and Europe, the Middle East, and Africa (EMEA) at $157 million.
- Success Rates: 82 percent of AI leaders report meaningful value from their investments, compared to only 62 percent of other companies.
- Risk Management: Only 20 percent of companies in the early stages of AI feel confident about managing risks, while 49 percent of AI leaders feel prepared.
Background and Context
In simple terms, an AI agent is a type of software that can perform tasks and make choices on its own to reach a specific goal. For a long time, businesses have used "chatbots" or "copilots" that require a human to give them instructions for every single action. AI agents are different because they can handle more complex workflows. For example, an agent might notice a delay in a shipping route and automatically find a new supplier without waiting for a manager to tell it what to do. This shift from "human-led" to "agent-led" work is what separates the most successful companies from the rest.
Public or Industry Reaction
Industry experts note that the high cost of AI is not just about buying the software. A large part of the $186 million budget goes toward the "hidden costs" of technology. This includes hiring engineers to connect new AI tools to old computer systems and cleaning up messy data so the AI can understand it. There is also a regional difference in how people feel about these tools. In East Asia, many workers are comfortable with AI agents leading projects. In North America and Australia, people generally prefer to work alongside AI as partners or have humans stay in charge of the final decisions.
What This Means Going Forward
Despite the high costs and challenges, AI investment is not slowing down. In fact, 74 percent of companies say that AI will remain a top priority even if the economy goes into a recession. This shows that businesses believe AI is necessary for survival in the future. However, to get the most out of their money, companies must focus more on governance. This means setting clear rules for what AI can and cannot do. Companies that have strong rules in place actually move faster because they are not afraid of the risks. Those that treat rules as a boring chore often find themselves stuck in the testing phase for too long.
Final Take
The era of just experimenting with AI is coming to an end. The companies that will win in the coming years are those that stop treating AI as a shiny new toy and start treating it as a core part of their business structure. Success requires more than a big budget; it requires a willingness to change how work is done and a strong framework to keep the technology safe and reliable. For the majority of companies still struggling to see results, the lesson is clear: fix your data and your rules before you spend your next million.
Frequently Asked Questions
What is an AI agent?
An AI agent is a smart software system that can complete tasks and make decisions on its own to achieve a goal, rather than just following simple, one-step commands from a human.
Why are some companies seeing more value from AI than others?
Successful companies, or "AI leaders," redesign their business processes to work with AI from the start. Other companies often try to force AI into old, inefficient ways of working, which leads to smaller gains.
Is AI spending expected to decrease if the economy gets worse?
No. According to KPMG, nearly three-quarters of businesses plan to keep AI as a top spending priority even during a recession, as they see it as vital for long-term competition.