Artificial Intelligence is an ever-evolving field driving innovation in the industry. Since the introduction of ChatGPT, the AI field has boomed exponentially. Businesses have realized how AI can transform their business processes efficiently and open doors to new developments.
According to The State of AI in 2024, a report by McKinsey, 72% of organizations have adopted AI and 65% of businesses are regularly using Generative AI in their business process. Statista states that the global artificial intelligence market is valued at USD 184 Billion and is expected to grow to USD 826 Billion by 2030. This increase in market size indicates that businesses are adopting AI rapidly into their business process.
Over the next few topics let’s discuss the AI trends in the industry. Here are the topics we will cover:
Top Recent Trends in AI 2025
1. Integrating AI in Search
If you google “Artificial Intelligence Course”, the first result that you get is from Google’s Gemini AI model that provides you with a list of your search keywords. Similarly the same is happening on Bing using Microsoft’s copilot. All web browsers are incorporating such features to improve the user experience by providing personalized search results and fueling creativity.
2. Nvidia’s Big Web Services Business Idea
Recently there were rumors from an authentic source that Nvidia, the largest company by market cap is entering the cloud providers market. The cloud providers market is dominated by AWS followed by Azure and GCP. With all the capital that Nvidia has, it can pretty much do everything to disrupt the cloud provider market giving services like storage, serverless options, etc. Rumors state that if Nvidia enters that market, it could earn a revenue of USD 150 billion yearly.
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3. Open AI’s Publisher Initiative
OpenAI is an artificial intelligence company that creates models that can understand the context of the questions and generate answers based on them. A huge amount of data is required to train such models. Recently, OpenAI and Associate Press got into a meeting stating that OpenAI is using the copyright content of different journalists to train their model which breaks the law. Both of them are in talks to resolve the issue and most probably OpenAI will release a new model that would resolve it.
4. Multimodal AI
Multimodal AI is the next step towards the future. Multimodal AI are advanced AI model that can process information from multiple contexts such as images, videos, texts, expressions, etc. For example: If we are analyzing the market financials through audio, videos, and text, the model will take audio, text, video, facial expressions, and tone of voice into account to predict the sentiment it. This increases the accuracy of the model and hence leads to better decision-making.
5. Small Language Models
You might have heard about large language models(LLMs), nowadays there is something called small language models(SLMs) that is rapidly evolving. Small language models are capable of generating natural language responses by understanding and processing various inputs. It is just that the scope and scale is smaller than the LLMs.
6. Responsible AI
With the launch of different AI tools, there has been a surge in the unethical use of AI. Deepfake videos and images have grown by 200% on average. With the increased affinity towards AI, individuals need to use it responsibly for the betterment of society. Governments and AI organizations are constantly working on building their AI to be used responsibly.
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7. AI security
Security and privacy are very important when it comes to such powerful technologies like artificial intelligence. The government has implied international laws such as GDPR, and CCPA to secure their citizen’s data to be misused by companies. These are strict regulations that every company operating in those countries has to abide by, otherwise, they might lead to strict actions.
8. Shadow AI
Shadow AI refers to the usage of artificial intelligence(AI) tools by users without formal approval. For Example: Nowadays, most people use AI products such as ChatGPT, DALLE, Copilot, etc to ease their workloads. This happens to put the company’s credentials and data at risk. Such practices are increasing day by day. Such practices are good because it increases productivity but they also increase the risk of data security. So there should be a set of rules and regulations to be set to use AI wisely.
Conclusion
AI or artificial intelligence has been the trend for the last few years. Anyone be it a college student or a corporate employee everyone is using AI for nothing. People have to understand how AI can transform the world in a good way. Individuals using AI should be educated on how to use AI for the betterment of society. There are many other trends in AI, such as Retrieval-augmented generation (RAGs), Large language models (LLMs), Agentic AI, and Explainable AI.
If you want to keep up with the latest trends you can consider enrolling in Intellipaat’s Executive Professional Certification Program in Generative AI & Machine Learning in collaboration with IIT Indore. You will get exposure to all the latest technologies and trends with hands-on knowledge from industry experts and IIT faculty.