Agentic AI Trends - the very near future of agentic AI

You have almost certainly heard of artificial intelligence, or AI, in some way, shape, or form. Whether or not you use it in your own life or work, there is no doubt that AI is changing the face of industries across the globe, from IT to healthcare to business to marketing. 

The newest iteration of AI models, agentic AI, is transforming these spaces once more with unprecedented autonomy and independence. It’s clear that the future of agentic AI is bright – so let’s take a closer look at some agentic AI trends to expect in 2025 and beyond. 

What is agentic AI? 

Agentic AI refers to AI models that are capable of operating autonomously. These programs can learn, adapt, make independent decisions, and take actions based on context and data in real time – within a defined scope, of course. 

Agentic AI tools operate in pursuit of predefined goals, analyzing real-time data and context in order to move toward achieving those goals. With that in mind, agentic AI vs the older generative AI is a big jump forward. 

How does agentic AI differ from generative AI? 

Generative AI (often abbreviated as “genAI”) is all about creating novel content in various forms based on training data – whether that is via images, text, code, or other formats. Well-known genAI tools include ChatGPT, DALL-E, Jasper AI, and Google Gemini. These tools can produce creative outputs and in doing so, boost efficiency and simplify workflows – but they are not able to conduct multi-step processes without human guidance and oversight. 

An image created with genAI (Source: UVA Darden)

Agentic AI, on the other hand, is capable of completing complex, multi-step tasks and processes without the need for human intervention. Agentic AI utilizes decision-making frameworks like reinforcement learning and memory-based reasoning in real time, enabling agentic AI tools to analyze challenges, develop strategies, and execute tasks aligned with the preset goals. With its intelligence and adaptability, agentic AI is poised to redefine the workplace. 

Possibilities for the future of agentic AI 

As agentic AI adoption trends take off, these tools are set to make a splash in all kinds of different industries. Tools like Atera’s Copilot and Autopilot programs are at the forefront of agentic AI in IT. Atera’s agentic AI platform provides users with a digital workforce of AI agents that can proactively and autonomously support your entire IT operation. 

Our all-in-one IT management platform consolidates remote monitoring and management (RMM), helpdesk, automation, and ticketing in one comprehensive dashboard, empowering both IT teams and MSPs to efficiently manage and protect infrastructure, automate tasks, and boost service quality. With this scalable solution, both small-scale and enterprise-level customers can drive sustainable growth and boost organizational efficiency.

Source: Atera

But IT is far from the only area in which you’re sure to see agentic AI trends creating a bright future. In addition to IT-focused applications, agentic AI has incredible potential in cybersecurity, healthcare, biotech, finance, business, consumer technologies, robotics, and so much more. Here are some of the top agentic AI trends we’re expecting to take hold in the next few years. 

Top 5 agentic AI trends you need to know

#1: Agentic AI products are exploding in popularity

Innovative agentic AI products are driving technological breakthroughs in countless different industries. From Atera Autopilot to Microsoft Copilot+ and IBM’s WatsonX Agent, it’s clear that big tech companies understand the importance of this new AI model. In fact, Gartner predicts that by 2028, 33% of all enterprise software applications will employ agentic AI. It’s clear that agentic AI adoption trends are moving in a positive direction. 

#2: Agentic AI will revolutionize customer service

Researchers believe that agentic AI will have a major impact on customer service. Gartner predicts that, by 2029, AI agents will be able to resolve 80% of common customer service issues without the need for human intervention. And it’s not just Gartner that thinks so – in one survey, over 64% of respondents believed agentic AI will improve customer service outcomes. 

Why do agentic AI trends point toward better customer service and user satisfaction? First of all, agentic AI tools can improve ticket resolution times and empower end users to solve common problems independently, leading to less downtime and a more enjoyable experience during the troubleshooting process. But additionally, agentic AI is expected to allow for unprecedented levels of customization and tailored interactions with end users. 

This is expected to be a boon for any organization hoping to employ more adaptive and precise personalization models – and that won’t be just enterprises in the IT space. Sectors like e-commerce, entertainment, and marketing will likely see huge benefits here. Higher levels of personalization are also correlated with stronger customer satisfaction across the board. 

#3: Agentic AI trends show cost reductions

As we look at agentic AI predictions for the next few years, one of the common threads is that agentic AI tools are expected to help enterprises cut costs. This is because agentic AI tools can boost workplace efficiency, improve productivity, and even help with managing inventory and assets. Some industries in particular – such as the healthcare industry – have predicted especially high cost savings. 

Accenture reports that the adoption of agentic AI tools could save the industry $150 billion or more, all while improving administrative and clinical functions through these tools. At the same time, AI investments in the healthcare industry are set to explode, with a predicted compound annual growth rate of 40%. 

#4: Experts believe it is crucial to embrace agentic AI proactively

As agentic AI trends skyrocket toward more adoption of these tools, experts like analysts at McKinsey & Company believe that it is essential for business owners and executives to embrace these tools as soon as possible – if not, your company risks falling behind. McKinsey’s most recent “State of AI” survey found that more than 72% of companies are currently deploying AI in some form. Marc Benioff, co-founder and CEO of Salesforce, told Yahoo! Finance that he expects over 1 billion AI agents to be in use by the end of 2026.

With these major escalations in the number of scope of agentic AI tools available, it’s imperative that enterprises take advantage of these tools to keep up with the current climate. Staying on top of agentic AI trends is a great first step to see what your company might need to do. 

#5: Agentic AI can reach unprecedented levels of intelligence

One of the most incredible features of agentic AI is its ongoing development – unlike previous AI models, it has a “memory” that allows it to learn and adapt, reflecting on the consequences of actions and improving its abilities over time. Essentially, it grows “smarter” the longer it is in use. Of all the overarching agentic AI trends we covered, this is one that is virtually certain to occur. 

Elon Musk (who has expertise in the AI space through his work on OpenAI, xAI, Neuralink, SpaceX, and more) speaks to the incredible possibilities of agentic AI in this foreshadowing post from social media site X, stating an agentic AI quote that highlights its transformative potential.

Source: X

Harness the power of agentic AI in IT with Atera 

At Atera, we’re changing the way that our customers do IT by leveraging the autonomy and versatility of agentic AI. Our AI Copilot tools offer AI-powered ticketing, automation, and predictive analytics as well as advanced functions like remote session summaries, command-line generation, real-time device troubleshooting, instant ticket summaries, script generation, knowledge base connection, and more. 

Ready to make the most of agentic AI? Take our AI-driven IT tools for a test drive today with a 30-day free trial, no credit card required.