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Top 6 Current & Future Generative AI Trends & 2025 Predictions

7 min read
Last updated on
June 5, 2025

A QUICK SUMMARY – FOR THE BUSY ONES

Generative AI trends for 2025

Robotic Process Automation (RPA)

  • Goal: Replace repetitive tasks with AI for more natural and accurate actions.
  • Example: UiPath - a business automation tool with great integration possibilities.

AR and VR

  • Goal: Enhance virtual and augmented reality experiences using AI.
  • Example: Roblox - a platform for user-generated, immersive 3D images with nearly 60 million daily users.

Natural Language Processing (NLP)

  • Goal: Understand and process human language for applications like chatbots and voice assistants.
  • Example: Monkeylearn - a no-code Generative AI tool for text analysis.

Autonomous Vehicles and Intelligent Transport Systems

  • Goal: Improve autonomous driving and transport systems using AI.
  • Example: Waze - delivers personalized route recommendations in real-time based on user preferences.

Generative AI in Healthcare

  • Goal: Revolutionize healthcare with AI-driven solutions for drug development, patient monitoring, and more.
  • Example: DirectSchifts - a platform that matches clinicians with job postings.

Generative AI in Education

  • Goal: Transform education by creating personalized learning experiences and AI-driven instruction.
  • Example: Character.ai - a chatbox that allows users to chat with AI-generated characters and historical figures.

Generative AI in E-commerce

  • Goal: Enhance the retail and e-commerce sector with AI-driven content creation, customer communication, and more.
  • Example: Shopify Magic - a tool that writes e-commerce product descriptions.

State of Generative AI Today

Generative AI is one of the fastest-developing types of AI that already achieved wide adoption across industries. 

A boom for Generative AI started in late 2022, right after the launch of Chat GPT. Only five days later, the Open AI’s tool had already attracted over one million users. The search ranks also started to grow rapidly - at the beginning of February 2023, the phrase “generative artificial intelligence” reached 100 index points. Shortly after, the next tech giants started to follow, with Google’s Bard as the iconic example.

Now, let’s take a look at some statistics revealing the current state of development of the Generative AI landscape:

Source: Statista
  • The most impressive growth in CAGR can be observed in Asia-Pacific, especially in China and India, where the AI adoption rate has already reached 60%.
  • By 2025, 30% of outbound messages sent by large organizations will be synthesized, starting from 2% in 2022. 
  • By 2025, generative AI will account for 10% of all produced data, with less than 1% in 2022. 
  • 67% of IT leaders prioritize using generative AI within the next 18 months, while it became a top priority for 33%.

Get ready for 2024: Generative AI Market Landscape

So, how can you prepare for the 2024 opportunities and challenges? Let’s talk about risks and opportunities associated with trends in Generative AI.

Risks of Generative AI

As AI adoption continues to rise, there are more and more critical voices expressing concerns and discussing potential dangers. The risks are associated mostly with ethics, regulatory compliance and liability, cybersecurity, and poor data quality.

The reasonable doubts are raised by IT decision-makers themselves:

  • 71% of respondents are afraid that generative AI will introduce new security threats to their data
  • 66% believe that their employees don’t have sufficient skills to use AI tools 
  • 59% raises the concern about the lack of a unified data strategy. 

In fact, despite its widespread popularity, many consumers also remain skeptical about AI:

  • 70% of non-users claim that they would use AI if they knew more about the technology
  • 64% wish AI to be more secure
  • 72% of consumers say it is important for them to be aware of the company’s AI policy before making a purchase. 

Moreover, nearly two-thirds of people in the US want the implementation of AI regulations in the near future. This trend raises questions about the uncertain future of AI development and its potential for unrestricted use. The directions it might take are challenging to predict.

Opportunities for Generative AI

Despite the obvious risks, Generative AI can still make a significant contribution to the advancement of various industries and holds substantial business potential. Let's take a look at some industry data:

  • By now, only 6 companies in the generative AI area managed to reach unicorn status, meaning they are worth more than $1 billion (with OpenAI, Hugging Face, and Jasper as examples).
  • The Generative AI field has already received $1.7 billion of VC funding in the past three years.
  • 33% of more than 250 Generative AI companies have not yet received funding from outside sources. 

This obviously means that the Generative AI field is still young and has a lot of room for innovation. Investors keen on exploring these opportunities, however, face the main challenge of finding ways to overcome or reduce the risks and be able to satisfy their audiences. 

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Authors

Olga Gierszal
github
IT Outsourcing Market Analyst & Software Engineering Editor

Software development enthusiast with 7 years of professional experience in the tech industry. Experienced in outsourcing market analysis, with a special focus on nearshoring. In the meantime, our expert in explaining tech, business, and digital topics in an accessible way. Writer and translator after hours.

Matt Warcholinski
github
Chief Growth Officer

A serial entrepreneur, passionate R&D engineer, with 15 years of experience in the tech industry. Shares his expert knowledge about tech, startups, business development, and market analysis.

Olga Gierszal
github
IT Outsourcing Market Analyst & Software Engineering Editor

Software development enthusiast with 7 years of professional experience in the tech industry. Experienced in outsourcing market analysis, with a special focus on nearshoring. In the meantime, our expert in explaining tech, business, and digital topics in an accessible way. Writer and translator after hours.

Matt Warcholinski
github
Chief Growth Officer

A serial entrepreneur, passionate R&D engineer, with 15 years of experience in the tech industry. Shares his expert knowledge about tech, startups, business development, and market analysis.

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