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Agents are the 'third wave' of the AI revolution
Marc Benioff, CEO of Salesforce, calls agentic AI the "third wave" in the rapid evolution of the field. "In just a few years, we've already witnessed three generations of AI," he observed in a recent piece in the New York Times. "First came predictive models that analyze data. Next came generative
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What is an AI agent? A computer scientist explains the next wave of artificial intelligence tools
Interacting with AI chatbots like ChatGPT can be fun and sometimes useful, but the next level of everyday AI goes beyond answering questions: AI agents carry out tasks for you. Major technology companies, including OpenAI, Microsoft, Google and Salesforce, have recently released or announced plans
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What is an AI agent? A computer scientist explains the next wave of artificial intelligence tools
Quinnipiac University provides funding as a member of The Conversation US. Interacting with AI chatbots like ChatGPT can be fun and sometimes useful, but the next level of everyday AI goes beyond answering questions: AI agents carry out tasks for you. Major technology companies, including OpenAI,
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What exactly is an AI agent? | TechCrunch
AI agents are supposed to be the next big thing in AI, but there isn't an exact definition of what they are. To this point, people can't agree on what exactly constitutes an AI agent. At its simplest, an AI agent is best described as AI-fueled software that does a series of jobs for you that a
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We've come a long way from RPA: How AI agents are revolutionizing automation
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In the past year, the race to automate has intensified, with AI agents emerging as the ultimate game-changers for enterprise efficiency. While generative AI tools have
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Unlock the Power of AI Agents to Scale Your Business
Artificial Intelligence (AI) agents are transforming task automation and workflow management by handling complex, multi-step processes with minimal human involvement. These autonomous systems are indispensable for businesses and individuals seeking greater efficiency and scalability. Using advanced
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What are the risks and benefits of 'AI agents'?
Here's what you need to know about harnessing the benefits of AI agents, while mitigating the risks. In the rapidly evolving landscape of artificial intelligence, a new frontier is emerging that promises to revolutionize the way we work and interact with technology. Imagine you're taking a break
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AI agents are emerging as the next wave of AI technology, offering autonomous task completion and decision-making capabilities beyond traditional chatbots and large language models.

AI agents are emerging as the next frontier in artificial intelligence, promising to revolutionize how tasks are performed and decisions are made. Unlike chatbots or large language models, AI agents are designed to autonomously carry out complex tasks across multiple systems
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. Marc Benioff, CEO of Salesforce, describes this as the "third wave" of the AI revolution, following predictive models and generative AI1
.AI agents are technological tools that can learn about a given environment and, with minimal human prompting, work to solve problems or perform specific tasks within that environment
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. They range from simple reflex agents, like smart thermostats, to more complex utility-based agents capable of weighing risks and benefits before making decisions2
.AI agents are being developed to handle a wide range of tasks, from booking travel arrangements to planning meals and assisting with online shopping
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. Major tech companies like OpenAI, Microsoft, Google, and Salesforce are investing heavily in this technology, seeing potential applications in healthcare, robotics, gaming, and various business processes3
.Unlike traditional chatbots or large language models, AI agents can take actions on behalf of users, potentially running independently for extended periods
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. This represents a significant step towards artificial general intelligence (AGI), with the ability to transfer skills across different domains3
.Despite their potential, AI agents face several challenges. These include the need for access to sensitive user data, raising privacy and security concerns
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. Additionally, there's the risk of agents making poor or disagreeable choices on behalf of users3
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As AI agents evolve, they are expected to handle increasingly complex tasks with minimal human intervention. Gartner predicts that 33% of enterprise software applications will include agentic AI by 2028, up from less than 1% in 2024
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. This shift is likely to transform enterprise workflows and decision-making processes significantly.As AI agents take on more complex roles, maintaining high accuracy becomes crucial. Even small errors can compound across multiple tasks, potentially leading to significant issues in automated processes
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. Organizations must invest in robust evaluation frameworks, observability tools, and continuous feedback mechanisms to ensure AI agents perform reliably in production environments.In conclusion, AI agents represent a significant leap forward in artificial intelligence technology. While challenges remain, their potential to transform various industries and workflows is immense, marking a new era in the ongoing AI revolution.
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