Artificial intelligence, the simulation of human intelligence in machines, is already in your pocket — powering voice assistants, personalizing streaming recommendations, and optimizing your daily commute. But what AI capabilities will still trend in ten years, and what new will emerge?
This post will explore the five primary AI development trends—from multimodal to generative AI—and how they will impact businesses and society.
5 AI Development Trends for the Next Ten Years
Artificial intelligence https://s-pro.io/artificial-intelligence is becoming smarter, more accessible, and scalable in the coming decade. Here are the trends that will contribute to this:
1. Multimodal AI
Multimodal AI, which we’ve seen in GPT-4, will mature significantly, pushing unimodal systems back. Unlike unimodal AI, which handles one type of data, like text or images, multimodal solutions integrate:
- Text
- Images
- Videos
- Voice
- Non-verbal cues
How will it work? Companies using multimodal AI in advanced chatbots and virtual assistants will make human-computer interactions more intuitive.
2. Easier Model Creation
AI model development will get more accessible and simpler, even for non-technical users. The tools that will facilitate this include:
- API-driven AI to integrate AI functions into existing systems
- Microservices to implement modular AI components
- No-code and low-code platforms to build AI models with drag-and-drop interfaces and plug-and-play modules
The impact? Businesses will create AI apps https://s-pro.io/ai-app-development and tools from scratch faster for any function, from logistics to marketing.
3. Cloud-Based AI
AI powered by the cloud will make advanced capabilities accessible to businesses of all sizes. In particular, it will be possible through:
- Customizable and easy-to-integrate prebuilt AI models
- Scalable solutions for growing businesses
- Reduced need for expensive infrastructure
As a result, small businesses can adopt AI without significant upfront costs. At the same time, enterprises will have a simpler means of scaling their operations.
4. Generative AI
While generative AI, or genAI, has already changed how we interact with technology and create content, we’ve all seen its limitations. Sometimes, it makes mistakes or fails to process large datasets.
However, over the next decade, genAI will substantially improve via the use of:
- Open-source large-scale models
- Smaller, more efficient models
This dual focus will allow for experimentation through open-source solutions and cost-effectiveness through smaller, easier-to-deploy, and maintain models.
5. Synthetic Data
In the next ten years, fewer human-generated datasets will be available. That is why businesses will turn to synthetic data — artificial datasets replicating real-world patterns. This trend will completely change how AI models are trained.
Here’s what synthetic data will offer:
- Unlimited, diverse datasets that mimic real-world scenarios
- No privacy concerns, easier to comply with data regulations
Using synthetic data, businesses will improve the accuracy of their AI models.
Concerns of Widespread AI Adoption
While artificial intelligence has tremendous business potential, it’s not without its implications. Here are the major ones:
- Job disruption: AI, specifically automated workflows, can lead to unemployment in manufacturing, customer service, and data entry industries. Yet, it will create opportunities in data analysis, cybersecurity, and AI development.
- Climate issues: AI could increase energy demands owing to the computational power needed. At the same time, it can help deal with climate change through optimization and sustainable practices.
- Deepfakes: Deepfakes — manipulated videos, audio, and images — will become harder to detect. However, with advanced AI detection tools, dealing with this growing threat will be possible.
To Conclude
Multimodal, generative, cloud-based AI and other advancements will transform how we deal with data and solve problems.
In fact, these trends in AI development will be more than just technological milestones. They’ll change our approaches to workflow automation, product discovery, model training—you name it.
If you need help adopting any of the trends discussed, speak to our AI developers. The perfect time to act is now.
