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Emerging technologies

“Emerging technologies” refers to new or rapidly developing technologies that are not yet widely adopted but show strong potential to change how people live, work, or solve problems. They often start in research labs or early commercial pilots, then grow as costs fall, performance improves, and standards mature.

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  1. Meaning of “Emerging Technologies”

    “Emerging technologies” refers to new or rapidly developing technologies that are not yet widely adopted but show strong potential to change how people live, work, or solve problems. They often start in research labs or early commercial pilots, then grow as costs fall, performance improves, and standards mature.

  2. Common Examples

    Examples include artificial intelligence (AI) and machine learning, generative AI, quantum computing, advanced robotics, augmented/virtual reality (AR/VR), blockchain and decentralized systems, edge computing, Internet of Things (IoT), and new battery or energy-storage technologies. The “emerging” label usually reflects both novelty and ongoing evolution rather than proven maturity.

  3. Why They Matter

    Emerging technologies can create new capabilities, efficiencies, and business models. They may also introduce risks—such as privacy concerns, cybersecurity threats, bias or fairness issues, safety and reliability challenges, and regulatory uncertainty—so responsible evaluation and governance are important.

FAQ

How is “emerging” different from “new” technology?

“Emerging” emphasizes that the technology is developing and gaining momentum, often with limited adoption and evolving best practices.

Are emerging technologies always ready for everyday use?

No. Many are still in pilot stages, require specialized expertise, or have constraints that limit broad deployment.

What should organizations consider before adopting them?

They should assess benefits vs. risks, data privacy and security, reliability and safety, compliance and standards, and the availability of skills and support.

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