With technology’s ability to continuously evolve, we have something to look forward to all the time. In 2022, it was AI, primarily ChatGPT. In 2024, it was Tesla’s Full-Self-Driving system, the Cybertruck in 2023. Moving on, generative AI became the talk of the town.
Technology keeps us on the edge. With so much innovation and research happening globally, it always has something cool in store for us. All new technology aims to solve problems for us. It can either be something major like making healthcare accessible through remote surgeries or something menial like a spoon that tricks you into eating food with less salt.
So, with 2025, let us see which technology trends and innovation will come to the forefront.
1. Synthetic Media
For the people calling AI-generated content fake, back off! We have a proper term for that now, i.e. Synthetic Media.
Synthetic media is set to appear on the mainstream this year, with hopes of not being treated with disdain. Synthetic media includes all kinds of AI-generated media or content, including images, videos, text, and even music. The media that is partially generated using AI also comes under the synthetic media definition.
In fact, you might have already listened to synthetic songs on your Spotify, without even realizing it. That is how proficient AI is becoming in creating content. Apart from AI singers, we also have AI-video generation platforms like Synthesia. Moreover, some radio stations are already turning towards AI virtual radio hosts. However, while this may threaten human artists, synthetic media is actually geared towards making content generation accessible to everyone.
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2. Agentic AI
We are hoping to see serious progress in the world of intelligent and autonomous AI.
As the next big thing in AI technology, Agentic AI is a sophisticated system made to streamline processes for agents. Its stellar reasoning skills allow to solve complex problems. As opposed to simple chatbots, that can answer simple questions, Agentic AI can handle multiple tasks at once.
This technology will mainly transform customer service and other business processes, by solving multi-step problems on its own. It is trained on large data sets, which empowers it to solve challenges independently and build strategies to complete multiple tasks in seconds. For instance, it can analyze a customer’s payment history, check their account balance, and tell them the best strategies to pay off their bills in seconds. Other examples of Agentic AI are autonomous vehicles and RPA (Robotic Process Automation).
3. Micro Large-Language Models (LLMs)
LLMs like ChatGPT are considered groundbreaking already, with their ability to help users by using natural language. But imagine a mini ChatGPT that is tailored to a specific use case, like helping employees with their HR-related queries and internal company policies.
Micro LLMs are just that. They are small, easy-to-build, and easy-to-train AI models that are concise and direct in their scope. An LLM sounds pretty cool, but it is not aware of your internal company processes.
Training an LLM requires numerous resources and large amount of data. Contrarily, you can train a micro LLM on specific data, related to the tasks you want it to. Which, in this case, is guiding employees about company policies.
Micro LLMs make AI accessible to small organizations that do not have enough resources to do major projects with LLMs. A micro LLM can also be used to train an AI model to do feats like:
- Automate workflows
- Generate Code
- Improve Customer Service
- Give Personalized Recommendations
4. Post-Quantum Cryptography (PQC)
This one is a personal favorite. With the new era of quantum computing unfolding, we will soon have something beyond it that can surpass its complex abilities.
Post-Quantum Cryptography consists of encryption algorithms that can deter attacks made by powerful quantum computers. Also known as quantum-safe or quantum-resistant, these algorithms are so complex, that even a quantum computer cannot solve them.
This takes cybersecurity to a whole new level. With cyber-threats already advancing in their abilities with quantum computing, PQC can establish the most secure encryption protocols.
Tech giants like Google, Microsoft, and Cloudflare use post-quantum cryptography to secure their internal communications. The technology can also help governments in securing super-sensitive information from hackers who use quantum computers to break into their systems.
When you think about all innovation the world of tech has in store for us, stuff like voice-controlled TVs and ChatGPT starts feeling menial. This is why we consider the world of tech an unexplored galaxy, full of surprises, something to always look forward to.
