Embrace the top Generative AI Trends in 2024

top Generative AI Trends in 2024 - USAII

2024 is around the corner, it’s important to stay updated on emerging AI trends which are expected to enhance productivity, improve customer experience, and provide more benefits.

In the coming new year, significant improvement will come from using generative AI which is applied to reform IT operations. It continues to reshape the business landscape and online world, presenting new opportunities.

The Generative AI market size is estimated to reach $207 billion, with a yearly growth rate of 24.4%, as reported by Statista. It will account for 10% of all generated data by 2025, with less than 1% in 2022. If you don’t want to stay behind, upscale your skills with AI engineer certification teaching the fundamentals of different AI concepts and trends.

What is Generative AI?

Generative Artificial Intelligence is not a new concept, but it is the main AI trends in 2024 and the coming years with the increasing popularity of AI chatbots and others. This type of content can be used to generate different sorts of data like audio files, text, lines of code, and images. It will continue to be an AI trend in 2024 for the obvious reasons.

  • Most generative AI applications are easy to use and extremely accessible.
  • The media hype around this AI type and associated tools will keep on increasing awareness.

How Companies May Use New Generative AI Developments?

Whenever any organization, person, or team requires generating something new, generative artificial intelligence helps in speeding up the process.

  • Using chatbots for technical support or customer service
  • Delivering social media reports and captions
  • Providing informative content in different lingos using CHATGPT
  • Creating models of innovative products
  • Enhancing product presentation videos

Top 7 Generative AI Trends for 2024

  1. Autonomous Generative AI

Autonomous agents refer to a term used to represent a class of generative artificial intelligence applications that work themselves by constantly producing and responding to prompts. AutoGPT is an example of an autonomous agent. In 2024, AI engineers will continue the search for generalized AI.

  • Continued Advancements in OpenAI’s GPT-3.5

GPT-3.5 (Generative Pre-trained Transformer 3.5) has become the popular trend in the AI community to create human-like text. Continued advancement in GPT-3.5 is projected in 2024. 

  • AI-Generated Video Content

The entertainment sector has been fueled by AI-generated video content in the past years. Filmmakers can develop whole synthetic actors, special effects, and scenes using AI, availing of new possibilities for storytelling. Learning generative AI skills will revolutionize the way videos are created, edited, and customized.  

  • Edge Computing for Generative AI

The use of generative AI models on edge devices will rise in 2024. It facilitates making generative AI more applicable in real-time, edge-centric applications by allowing prompt processing, reduced latency, and increased privacy.

  • Generative AI’s Interdisciplinary Applications

Generative artificial intelligence will intersect with several sectors like education, science, and finance. Collaboration and revolution across different domains become easier with AI-powered models that make data analysis, hypothesis creation, and informative content development seamless.

  • Introduce Prompt Engineering Services

In 2024, generative artificial intelligence will help show AI prompt engineering skills. It helps in covering the gap in the data science toolkit. Approximately 80% of them will provide key engineering intelligence internally, leveraging data scientists and business SMEs (small and medium enterprises).   

  • Alleviate Climate Changes

Generative AI helps identify climate impact by creating climate settings, improving energy usage, and allowing renewable energy solutions. AI-driven climate models help in knowing and alleviating the impact of environmental change.  

Stay Informed with Online AI Certifications

According to a recent State of IT report by Salesforce, 86% of IT leaders predict generative AI to be a key strategy in their companies. 57% of them find generative AI to be a game changer. Gartner predicts that by the end of 2023, 40% of the operation and infrastructure teams in leading organizations will leverage AI-augmented automation for higher productivity and revenue. So, employees should be skilled enough in the latest AI technologies to achieve optimal outcomes and career growth.

Master in-demand skills and earn a career credential by enrolling with the best AI engineer certification courses designed for varying expertise levels and experience. Top leading institutes and universities like Harvard University, USAII® (United States Artificial Intelligence Institute), Stanford University, Cornell University, Massachusetts Institute of Technology (MIT), etc. have different courses providing fundamental knowledge of key practices and implementation of different concepts and trends. Be sure to check the course duration and content, fee structure, schedule, and testimonials before applying for any course.   


If you’re looking to begin a new growing AI career, it is pivotal to understand what is next in the artificial intelligence sector. With the increase in demand and interest in artificial intelligence, generative AI has become one of the fastest-revolving types of AI widely adopted across several industries. It has become a top priority of 33% of IT leaders while 67% focus on using it within the coming 18 months (Statista). So, get yourself updated with this type of AI with the best certification and welcome the AI future with open arms and greater opportunities.