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What Does 2025 Hold in Store for Us?

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February 2025

From AI and blockchain technology to robotics and automation, the tech trends and predictions for 2025 suggest a year of steady progress.

- Janani G. Vikram

What Does 2025 Hold in Store for Us?

Global trendwatchers and analysts foresee no major upheavals with Al continuing its transformative rampage. Notable advancements are also expected in areas like quantum computing and robotics. Here is a bird's eye view of what is in store for us. What we have covered here is just the tip of the iceberg, capturing only a fraction of the broader landscape. Join us as we delve deeper into the developments shaping the tech world, exploring the breakthroughs and possibilities that lie ahead.

Artificial intelligence (AI) and machine learning (ML)

In 2025, AI is expected to become more autonomous, task-driven, secure, and responsible. Here are the key trends to follow.

Agentic AI:

Even if you ask AI about the top AI trend in 2025, the reply is agentic AI! Almost every industry expert seems to be betting on agentic AI making it big in 2025.

Agentic AI is basically an advanced AI system that can act pretty much autonomously and proactively without constant hand-holding. It is trained with intensive domain knowledge and can solve complex, multi-step problems. Using a feedback loop, an agentic AI system learns from the environment and interactions and adapts itself. Companies are piloting agentic AI for various tasks like customer support, supply chain optimisation, financial management, cybersecurity vulnerability analysis, and so on. Human supervision and intervention will be required initially to prevent problems like hallucination that AI systems are prone to.

In its 2025 predictions, Forrester warns that agentic AI architectures are convoluted, requiring diverse and multiple models, sophisticated retrieval-augmented generation stacks, advanced data architectures, and niche expertise. It suggests that companies should prefer working with AI service providers and systems integrators rather than attempting to build advanced agentic architectures themselves.

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