Social Media In 2025? Let AI Agents Do The Heavy Lifting For You!

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AI Agents: The Ultimate Social Media Managers of 2025

Social media remains a critical component of any effective marketing strategy, and its importance is set to increase even further in 2025. For entrepreneurs, marketing professionals, and social media managers, the challenge is maintaining an active and engaging social media presence, which demands constant creativity, planning, execution, and interaction. This is where AI agents can play a transformative role.

Unlike conventional AI tools, agentic AI is proactive; it doesn’t just create content or suggest ideas; it takes initiative. These agents can research trends, devise strategies, and carry out tasks independently, allowing professionals to focus on higher-priority activities.

The Advantages of AI Agents in Social Media Management

For content creators, a category that now includes nearly every professional—consistently generating fresh ideas can be a struggle. Building a strong social media presence requires regular posting and a consistent, personalized brand voice. Sustaining this effort can be overwhelming and time-consuming.

With the right setup, an AI agent can take over content ideation, solving the common problem of facing a blank page. It can analyze extensive research to produce compelling ideas and experiment with new content formats using its advanced reasoning capabilities. Beyond generating ideas, an agent can evaluate past performance and audience behavior to identify the best times to post, helping to maximize engagement.

At Jotform, we prioritize scalable automation solutions, and AI agents fit this need perfectly. As your social media presence grows across multiple platforms, the impact and efficiency of these agents increase significantly.

Real-World Applications of AI Agents in Social Media

To illustrate how AI agents can be utilized, here are a couple of practical examples:

Many content creators interact with their audience through community posts that include interactive elements like polls and discussion prompts. These features help build a loyal following. AI agents can handle the heavy lifting by generating fresh, relevant ideas based on current trends and audience interests.

The automated process begins with research, where the agent scans Google News and other sources for the latest updates relevant to his subscribers. It then compiles insights and generates post ideas, complete with polls and response options. You can review the suggestions, select the best ones, make adjustments if needed, and schedule the posts. This ensures a consistent flow of high-quality, engaging content.

AI agents can also expand on ideas, turning them into full-fledged media such as podcasts, long-form articles, or video scripts. For example, a podcaster could create a Podcast Research & Topic Generator agent to analyze trending discussions and structure them into podcast episodes. The agent can scan Google News and other sources to identify trends within the podcaster’s niche. It then synthesizes the most compelling insights and suggests episode topics, complete with talking points, discussion angles, and supporting research. The agent can even refine an episode idea further by adding additional resources and articles for deeper discussion. This allows the creator to skip the brainstorming, research, and outlining stages, focusing instead on delivering a compelling conversation.

By leveraging AI agents in these ways, professionals can streamline their workflows, enhance creativity, and maintain a strong social media presence with greater efficiency.

AI Agents Just Got Smarter! Browser Use Raises $17M To Dominate Web Navigation

The concept of an AI "agent" remains loosely defined, but numerous startups are racing to develop tools that enable these agents to automate online tasks. One such company, Browser Use, has garnered significant attention from developers and investors for its innovative solution, which enhances website readability for AI agents.

Browser Use recently revealed that it secured a substantial $17 million in seed funding. The round was led by Astasia Myers of Felicis, with contributions from Paul Graham, A Capital, and Nexus Venture Partners. This funding had not been disclosed prior to the announcement.

As part of Y Combinator’s 2025 winter cohort, Browser Use has gained notable traction in recent months. Its collaboration with Chinese startup Butterfly Effect, which integrated Browser Use into its widely popular Manus tool, significantly boosted its visibility.

Magnus Muller and Gregor Zunic founded the company last year through ETH Zurich’s Student Project House accelerator. Müller, who had been developing web-scraping tools for years, met Zunic in 2024 while both were pursuing master’s degrees in data science. Together, they conceived the idea of merging web scraping with data science to enable browsers to execute tasks autonomously.

Within just five weeks, Muller and Zunic created a demo of Browser Use, which quickly gained momentum. They later decided to open-source the project. The tool essentially simplifies website elements, such as buttons, into a more accessible, text-like format for AI agents. This allows agents to better comprehend and navigate websites independently.

Muller explained that many agents rely on vision-based systems, attempting to interact with websites through screenshots, which often leads to errors. Browser Use, however, transforms websites into a format that agents can process effectively, enabling repetitive tasks to be performed more reliably and at a lower cost.

The demand for tools that facilitate smoother interactions between AI agents and websites is growing, and Müller believes Browser Use can serve as a foundational layer to address this need. He noted that over 20 companies in the current Y Combinator Winter batch have already adopted Browser Use for their own purposes.

Muller shared that some companies are approaching Browser Use with questions about how to make their websites more agent-friendly. He cited LinkedIn as an example of a site that frequently changes its structure, causing agents to struggle. Browser Use aims to mitigate such challenges.

Astasia Myers of Felicis highlighted that the firm has been closely monitoring the AI agents space for several years and saw Browser Use as a promising addition to its portfolio. She praised the founding team and their open-source-first approach as key factors in the decision to invest.

Myers stated the potential of web AI agents to revolutionize task automation, describing them as a dynamic link between static, text-focused pre-trained models and the constantly evolving digital environment. She believes Browser Use is well-positioned to play a pivotal role in this emerging field.

Oracle’s AI Agent Studio Just Went “Free” for Fusion Cloud Customers

Oracle has introduced a new AI Agent Studio for its Fusion Cloud business applications, offering it at no extra cost to strengthen its appeal to enterprise customers. This move comes as competing software providers intensify their focus on agent-based solutions to capture a larger share of the market.

Hyoun Park, chief analyst at Amalgam Insights, emphasized the importance of such tools. He stated that having AI agents has become essential for any enterprise platform aiming to stay relevant in a market increasingly driven by generative AI. He noted that the launch of AI Agent Studio underscores this trend.

AI-based agents are gaining significant traction, with Gartner predicting that by 2028, nearly 33% of enterprise software applications will incorporate agentic AI, up from less than 1% in 2024. Similarly, a report from Grand View Research estimates the global AI agents market, valued at $5.4 billion in 2024, will grow at a compound annual growth rate (CAGR) of 45.8% from 2025 to 2030. This growth is fueled by rising demand for automation, advancements in natural language processing (NLP), and the need for personalized customer experiences.

In response to this demand, major software vendors and cloud service providers, including ServiceNow, Salesforce, Workday, AWS, IBM, Google, and Microsoft, are expanding their agent-based offerings. Cam Cross, a partner at West Monroe specializing in technology and experience, believes Oracle is aligning itself with other industry leaders by integrating AI into workflows to enhance automation and user efficiency.

Cross noted that this strategy helps Oracle remain competitive and appeals to customers who prioritize AI capabilities when selecting vendors. Dion Hinchcliffe, lead for CIO practice at The Futurum Group, added that AI Agent Studio strengthens Oracle’s Fusion Applications by embedding AI-driven automation directly into core business processes. This approach not only enhances the platform’s value but also increases customer reliance on Oracle Cloud Infrastructure (OCI).

According to Natalia Rachelson, Oracle's group vice president of outbound products for Fusion Cloud Applications, Oracle’s AI Agent Studio is a no-code toolset designed to help enterprise IT teams build, deploy, and manage agents using natural language. Key features include agent template libraries, team orchestration, extensibility, native Fusion integration, third-party system compatibility, and a robust security framework.

The agent template libraries enable users to create AI agents using pre-built templates paired with natural language prompts. Oracle highlighted that these templates support various business scenarios, such as opportunity-to-quote processes, return order management, and shift scheduling. Rachelson explained that users can customize these agents by incorporating documents, tools, prompts, or APIs to meet specific industry and business requirements.

Stay tuned as we bring you actionable insights, smart hacks, and proven tips to keep you ahead—straightforward, no-nonsense strategies to level up your skills.

What’s coming? Challenge limits, test new approaches, and see how AI is transforming the landscape.

Until next time—keep chasing bold, game-changing ideas.

Thanks for reading!

Shen Pandi & team