Top 5 AI Trends to Watch in 2025

Artificial intelligence (AI) has taken the technology industry by storm, and it’s only growing from here. According to PricewaterhouseCoopers, 73 percent of US companies use AI in some capacity in their business [1].

One of the most recent trends is generative AI, which has the potential to generate trillions of dollars in value across industries [2]. People worldwide have begun to incorporate generative AI into their workflows, adding to the popularity and penetration of AI.

Learn about some of the top AI trends for 2025 below. Afterward, if you want to learn even more about AI, consider enrolling in DeepLearning.AI's AI For Everyone course.

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5 trends in artificial intelligence for 2025

Artificial intelligence is quickly transforming how we live and the business landscape in which we work. Wondering what some of the potential impacts of this exciting technology might be?

Here are five of the top AI trends you can expect to see in 2025.

1. More GenAI app integration

Generative AI has arguably been the biggest trend in AI over the last several years. When ChatGPT and other text and image generators became accessible to the general public, they were widely used and adopted by business teams worldwide. This democratization of AI meant it was available to everyone—even those without technical knowledge. 

Now, GenAI is becoming increasingly integrated into many of the apps that both organizations and individuals rely on every day. Hundreds of AI tools today already allow us to create content faster, translate between languages, and populate search engines. Over the next year, expect these integrations to increase, effectively continuing to change how we interact with each other, whether it's between friends and family, customers and businesses, or employers and workers.

Read more: How To Write ChatGPT Prompts: Your 2025 Guide

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2. Increasing AI adoption in the workplace

Another trend we'll see in AI this year is its place in workplace productivity. Artificial intelligence can speed up and enhance how we work—in particular, how it automates time-consuming or repetitive daily tasks. Whether inputting data in a spreadsheet, writing an outline for a business plan, or controlling quality at a manufacturing plant, AI has massive potential to increase our productivity at work.

While previous years have seen a steady increase in AI adoption in the workplace, this year is projected to see significantly greater investment. According to one recent Lenovo study, IT leaders project that 20% of their tech budgets will be devoted to AI in 2025, with the lion's share going to GenAI applications. In fact, while only 11 percent of enterprises in the Lonovo study said they previously used GenAI-powered applications, a whopping 42 percent said they'd lean into tech in 2025 [3].

For those who may be concerned about AI replacing jobs, the technology often simply acts as a tool for automating repetition, leaving room for humans to focus on creativity, emotional intelligence, and moral judgment.

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3. More advanced multimodal AI

Many large language models (LLMs) process only text data. Multimodal AI models, however, can grasp information from different data types, like audio, video, and images, in addition to text. This technology is enabling search and content creation tools to become more seamless and intuitive and integrate more easily into other applications we already use. 

For example, iPhones can now figure out who and what objects are in your photographs because they can process images, metadata text, and search data. Similar to how a human can look at a photo and identify what’s in it, multimodals enable that same characteristic.

In 2025, multimodal AI is expected to advance significantly, equipping both individual users and organizations with technology capable of performing increasingly complex tasks without human intervention. In particular, multimodal models enable business leaders to analyze a greater variety of data types and equip them with valuable insights that drive more strategic decision-making for a competitive.

4. AI will accelerate scientific research and boost health care outcomes

Besides their influence in business, AI tools also have great potential in science and health care. In early 2025, for example, Google revealed an "AI co-scientist system" meant to be a collaborative tool for scientists, capable of uncovering new and original knowledge rather than just reviewing standard research literature [4]. Tools like this aim to assist researchers and accelerate potentially transformative discoveries.

Chatbots are being deployed across disciplines, from agriculture to health care, helping farmers identify weeds and medical professionals diagnose patients. While the accuracy of this AI is in progress, these steps can accelerate scientific discoveries and medical breakthroughs.

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5. Broader AI regulations and greater scrutiny of AI ethics

With the proliferation of AI worldwide, mitigating any risks associated with AI is paramount. Government agencies and organizations like OpenAI must ensure AI is used and deployed responsibly and ethically. In March 2024, the European Union debated a landmark comprehensive AI bill designed to regulate AI and address concerns for consumers. It became law later that year in August.

On January 1, 2025, California began enforcing several AI laws focused on various areas, such as consumer privacy, health care, patient communications, and the use of deep fake technology [5]. Over the coming year, more states and agencies are expected to consider adopting greater AI oversight and regulations.

Ultimately, if AI is not regulated, data manipulation, misinformation, bias, and privacy risks can arise and pose greater societal risks. For example, tools can be susceptible to discrimination or legal risk if AI doesn’t collect data representative of a population. Generators like ChatGPT pull information from internet searches worldwide, but companies and publications have sued OpenAI for copyright infringement.

Read more: AI Ethics: What It Is and Why It Matters

Trends in AI security

Cybersecurity is a major concern for AI, particularly as more and more business processes rely on computing resources with access to vast amounts of sensitive information. Some of the top cybersecurity artificial intelligence trends include:

Privacy concerns: Generative models can help organizations be more productive, but business owners should ensure platforms are secure before sharing private information or trade secrets with them.

Data breaches: While AI-driven systems can be used to better detect data breaches, they can also facilitate them.

Improved analytics: AI can help organizations improve their security with improved analytics, capable of spotting trends in vast amounts of incident report data.

Read more: AI in Cybersecurity: How Businesses are Adapting

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