The AI industry invests heavily in digital twin technology, creating virtual replicas of humans and objects for research. Tech companies believe these digital twins can unlock AI's full potential by mirroring our physiologies, personalities, and objects around us. Digital twins can range from models of complex phenomena, like organisms or weather systems, to video avatars of individuals. This new technology promises to revolutionise healthcare by providing personalised treatment, accelerating drug development, and enhancing our understanding of environments and objects.

Gartner predicts the global market for digital twins will surge to$379 billion by 2034, mainly driven by the healthcare industry, which is expected to reach a market size of$110.1 billion by 2028. The concept of digital twins began in engineering and manufacturing but has expanded thanks to improved data storage and connectivity, making it more accessible and versatile.

One notable example is LinkedIn co-founder Reid Hoffman, who created his digital twin, REID.AI, using two decades of his content. Hoffman demonstrated the potential of this technology by releasing videos of himself conversing with the twins and even sending them for an on-stage interview. While most digital twins focus on statistical applications, their everyday utility is evident in projects like Twin Health, which uses sensors to monitor patients' health and provide personalised advice. The technology has shown promise in helping diabetic patients reverse their condition and reduce medication reliance.

Like the broader AI boom, the digital twin market starts with impressive demonstrations but aims to deliver significant practical benefits, especially in healthcare and personalised services.