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How far do you think AI has evolved? The constant stream of new AI features has become so commonplace that it's no longer surprising. Among all technological innovations, AI's rapid advancement stands out for its unprecedented pace.
In this article, we'll explore five crucial AI trends that marketers need to understand and embrace in 2025.
The marketing industry has witnessed an explosive growth in generative AI over the past two years. 2024 marked the year when generative AI was fully integrated into marketing practices. Marketers began implementing AI across various tasks, from SEO content creation to advertising data analysis and cold email copywriting. As of 2024, approximately 75% of marketers have incorporated AI tools into their daily operations.
Most notably, AI has evolved beyond simple task automation to become a strategic planning and decision-support tool. There's growing demand for combining real-time data with AI to generate insights and determine optimal marketing mixes. This shift allows marketers to focus more on creative and strategic work.
While previous Language Learning Models (LLMs) primarily evolved around text, as exemplified by ChatGPT, 2025 marks our entry into an era of integrated multimodal AI that encompasses visual and auditory capabilities. The rising popularity of multimodal AI tools like Midjourney is expected to drive enterprise adoption rates to 40% by 2027.
In marketing, this technology is revolutionizing campaign planning and execution by simultaneously understanding and generating text, images, and voice content. Samsung Life Insurance has already demonstrated this potential by using multimodal AI to automate their entire advertising process - from script generation to voice synthesis and video editing - improving production efficiency by 40%. In 2025, we anticipate the introduction of new modalities such as tactile and biosignal integration alongside existing AI advancement.
According to Gartner's Top 10 Strategic Technology Trends for 2025, AI agents are predicted to independently handle 15% of routine tasks by 2028. AI agents are software programs that can perform tasks without human intervention, designed to perceive, learn, make decisions, and act like humans in specific domains or tasks.
OpenAI has pioneered the AI agent era by launching "Operator" for ChatGPT Pro subscribers. Trained to interact with graphical user interfaces (GUI), it can perform digital tasks without requiring OS or web-specific APIs, from booking flights to making restaurant reservations and online shopping. While current limitations exist in handling complex tasks and non-standard web interfaces, technological advances are expected to expand their capabilities from routine tasks to complex decision-making.
2024's breakthrough RAG (Retrieval-Augmented Generation) technology is evolving into GAR (Generation-Augmented Retrieval). While RAG helps language models provide context-appropriate search results, GAR enhances searches with generated content, allowing AI models to perform more sophisticated information retrieval.
To illustrate, RAG functions like a librarian who finds and reads books to answer questions, while GAR operates more like an expert who first considers possible answers based on their knowledge, then searches for precise information to enhance their response. GAR is gaining attention for enabling more natural and creative responses. For instance, when asked about "eco-friendly energy startup ideas," GAR can first generate various ideas, then search for information to validate their feasibility and market potential, providing more practical suggestions than RAG's existing case-based approach.
While general-purpose AI, commonly used in our daily lives, serves various fields and situations, it often lacks specialized knowledge for specific industries or domains and faces monetization challenges. Most critically, it's difficult to customize for specific business needs. This has led to the rise of 'vertical AI' in the AI business sector.
Vertical AI refers to customized AI services specialized for specific fields such as travel, legal, medical, autonomous driving, or small businesses. The stock market has already recognized its potential - Palantir, a military vertical AI company, has seen its stock price surge over 300% in the past year, surpassing major defense contractors like Lockheed Martin and Raytheon in market capitalization. Various startups are targeting niche markets with vertical AI solutions, from highly accurate medical AI to manufacturing-specific AI capable of complex data analysis.
The announcement of the DeepSeek R1 model captured global media attention, making waves even among those less familiar with AI. Developed at a cost of approximately $80 million, R1's cost innovation challenged the perception that LLM development requires astronomical investment, previously considered exclusive to major U.S. corporations.
However, behind AI's remarkable progress lie serious social and ethical concerns. The collection and use of vast amounts of personal and sensitive data for AI model improvement poses significant challenges in user privacy and data security. Google and Gartner emphasize the importance of privacy-conscious AI marketing, highlighting the need for technical advancement in encryption, distributed storage, and differential privacy protection.
In 2025, AI continues to become more powerful and ubiquitous. Marketers will soon automate content creation with multimodal AI, streamline routine tasks through AI agents, and perform more sophisticated data analysis using GAR. The growth of vertical AI demonstrates the potential for industry-specific solutions, while increasing focus on AI ethics highlights the importance of data privacy and security.
However, effectively utilizing these innovative AI capabilities in marketing requires systematic integration and management of marketing data. Without proper data management - including data cleaning, deduplication, and structuring - even the most advanced AI technology cannot deliver optimal results.
In this context, Adriel's Business Intelligence with real-time data integration and visualization dashboard helps marketers easily understand complex data and make better decisions. By providing powerful data analysis capabilities while complying with privacy regulations, Adriel enables marketers to confidently leverage the benefits of the AI era. Join Adriel to harness AI effectively and achieve superior results.
