Agentic AI: How 2025’s Top Tech Trend Will Redefine Work

Remember when the catchphrase “There’s an app for that!” became so popular and widespread that Apple trademarked it in 2010? Well, get ready for a new one to start making the rounds. By the end of 2025, for every task or problem you find, we predict that someone will reply, “There’s an AI agent for that!”

Agentic AI is predicted as the top tech trend of 2025. Why? Experts project that 25% of organizations will be using AI agents by the end of the year, growing to 50% by 2027, and contributing an estimated US$2.6 trillion to US$4.4 trillion annually to global GDP by 2030. It’s hard to believe something could be so transformative, so quickly, and across so many industries, but this is where we are: taking the next leap forward in the AI revolution, literally moving from talk to action.

I believe agentic AI is the most profound shift in how we interact with technology since the smartphone; one that will take us from fragmented, repetitive work to streamlined, strategic productivity. Think back to how smartphones revolutionized our lives — devices that once just made calls and sent texts suddenly held apps that connected, organized, and entertained. Now imagine a workday where the most time-consuming and repetitive tasks are handled autonomously, leaving you free to focus on what’s strategic, rewarding, creative and human. No more browsing, micromanaging, or information overload; instead, an assistant can take notes, summarize, book, order, dream up and find whatever you need, instantly.

Unlike apps, which require manual input and constant oversight, agentic AI is different. It’s not just a tool, it’s a user. AI agents autonomously execute tasks, make decisions, and adapt to user input and environmental changes. And this transition from AI tools to AI partners will define how we work in 2025 and beyond.

These AI agents can be trained to handle complex, vital workflows. In e-commerce, they can personalize shopping experiences, manage orders, and even complete purchases, independently and seamlessly. In finance, they can automate transactions, optimize expenditure planning, and manage investments based on specific risk and return goals. In healthcare, AI agents can schedule appointments or assist doctors by cross-referencing medical records, family history, and test results. For those working in logistics, they’ll plot routes, re-route shipments in response to changing environments, and optimize deliveries for time, energy, and cost efficiency.

As these examples demonstrate, agentic AI is purpose built for specialization and can be applied to virtually any field or industry. While AI and automation are both already in use throughout various sectors, their applications are broader. Agentic AI can be trained for a multitude of granular tasks, but they can also take care of a wider variety of interconnected jobs that require greater cognitive reasoning and more advanced contextual decision-making skills.

Agentic AI doesn’t just enhance productivity; it reshapes how we collaborate with technology. By managing intricate tasks with precision, these AI agents make human-machine collaboration feel more seamless and intuitive. However, their reasoning and execution power don’t eliminate the need for human oversight. Success will depend on two critical factors: setting clear, strategic goals to guide AI agents effectively, and calibrating the boundaries where human intervention is still essential.

It goes without saying that rapid technological advances come with risks. At Gupshup, we’re building AI agents with built-in guardrails to ensure safety, reliability, and business security. This is because we believe agentic AI won’t replace human intelligence; it will amplify it. 

We also believe that the world is ready for this next leap. Advances in machine learning and natural language processing, growing trust in automation, and demand for personalization are all combining to power this shift. Like apps before them, AI agents will soon become essential, driven by user demand, innovation, and cost efficiency. They’re also incredibly accessible: no coding or technical expertise required. You train them in a chat interface, just like you would a colleague.

By this time next year, we won’t be asking if there’s an app for that, or even an AI tool for that. Instead, we’ll expect an AI agent to take care of it — efficiently, intelligently, and autonomously. At Gupshup, we’re looking forward to helping companies embrace this monumental transformation in how we live, work, and play. Together, we believe we can use agentic AI to set new standards for innovation, customer satisfaction, and what it means to exceed our potential.

About Gupshup

Gupshup is a Conversation Cloud that enables businesses to advertise, communicate, and converse with their customers by leveraging AI and CPaaS. Gupshup’s conversational engagement solutions enable 75,000+ brands across India, Latin America, Europe, Southeast Asia, the Middle East, and the United States to deliver better customer experience, and increased revenue while saving costs. Citibank, AkzoNobel, Khan Academy, Unilever, Dream11, Netflix, Flipkart, and Ola are a few of its leading clients. With an industry-trained Conversational AI platform and real-time unified profiles, Gupshup powers over 10 billion messages per month. Valued at $1.4 bn, the company has marquee investors such as Tiger Global, Fidelity Management and Research Co. LLC, and others on its cap table. For more details, please visit www.gupshup.io.