Author: IRPA AI Senior Analyst, Kieran Gilmurray

Imagine a world where an engineer can design a product in virtual reality (VR) with the support of an AI mentor. Or imagine a customer gets their unique problem solved instantly by a polite avatar who never puts them on hold. AI-driven digital humans (i.e., human like avatars, chatbots, and virtual assistants) and digital twins (virtual replicas of physical entities or systems) are transforming industries.

Organizations are using digital twins to improve processes and using digital humans to redefine customer and employee engagement. This article explores their impact across healthcare, manufacturing, customer service, and finance, with insights into future industry trends.

What Are Digital Humans and Digital Twins?

Digital humans are AI-powered avatars that mimic human interactions through speech, gestures, and facial expressions. They enable scalable, empathetic communication, serving as customer service agents, healthcare assistants, or virtual instructors. For example, Synthesia’s avatars use emotion recognition and large language models to deliver personalized support.

Digital twins are dynamic virtual models of physical systems, updated in real time. They allow businesses to simulate scenarios, predict outcomes, and optimize performance. For instance, hospitals use digital twins to model patient flow, while manufacturers simulate factory layouts.

There are multiple examples of digital humans and digital twins in operation across multiple industries.

Healthcare: Virtual Care and Predictive Analytical Models

The healthcare industry is benefit tremendously from digital humans such as Sensely’s “Molly” which act as 24/7 virtual nurses that monitor patients remotely. Molly uses Mayo Clinic’s algorithms to triage patient symptoms, alerting doctors to anomalies that may need their attention.

Trials show that Molly has reduced hospital visits and improved patient adherence. Similarly[1] [2] , Ping An Good Doctor’s AI-powered “digital doctor” provides on-demand consultations via avatars, expanding healthcare access.

Johns Hopkins researchers created patient-specific digital heart twins to simulate arrhythmia treatments, improving surgical precision. The UK’s NHS piloted a digital twin for two hospitals, optimizing bed allocation and reducing emergency wait times by simulating seasonal demand.

Manufacturing: Virtual Factories and AI Training

Foxconn built a virtual factory in NVIDIA’s Omniverse to optimize robotics and workflows for NVIDIA Blackwell systems, reducing physical trial-and-error. Siemens uses digital twins to simulate energy consumption, cutting waste. BMW’s virtual assembly line twin streamlined electric vehicle production, reducing ergonomic issues through worker movement simulations.

Digital Humans for Workforce Training: Companies are already using AR-guided digital humans to train technicians. Avatars enable workers to learn from simulations of complex scenarios, improving cost efficiency and skill retention.

Customer Service: Always-On Virtual Agents

Denmark’s Krifa deployed “Aida,” a digital human receptionist, to handle routine inquiries, freeing staff for complex tasks. Customer engagement improved, with employees reporting higher job satisfaction. Deutsche Telekom’s digital assistants increased sales conversions by 5.6× and reduced cart abandonment by 9%.

Scalability and Personalization:

  • NatWest’s AI avatar Cora answers banking queries 24/7, easing call-center loads. Customers preferred Cora’s friendly interface over traditional chatbots. Hilton’s robot concierge “Connie” assists guests with amenities, enhancing hospitality efficiency.

Finance: AI Advisors and Risk Modelling

  • Bank of America’s Erica and NatWest’s Cora deliver AI-driven financial guidance. Whilst insurers can use avatars to simplify claims processes, blending efficiency with human like empathy.
  • JP Morgan’s risk digital twin simulates market crises, enabling proactive hedging. Accenture’s acquisition of a digital twin platform aids banks in modernizing legacy systems without disruption, boosting revenue by up to 60%.

Future Trends

What will we organizations see ahead?

  1. Ubiquitous Adoption: I The digital human market is predicted to reach $530 billion by 2030. In the near term digital humans will be become indistinguishability from humans, with Metahuman-like avatars and immersive digital twin “metaverses” created for, and supporting, human decision-making.
  2. Workforce Augmentation: Agentic AI will handle repetitive tasks, freeing humans for creative roles. Demand will surge for AI trainers and digital twin architects with the World Economic Forum predicting 170 million new AI-related jobs by 2030.
  3. Leadership Evolution: Chief AI Officers will emerge to oversee blended human-AI teams. Ethical guidelines and transparent AI use will be critical if both are to work in harmony.
  4. Lifelong Learning: Lifelong learning, change and adaptability valuable career skills. The half-life of knowledge workers and those with technical skills is shortening – what a data scientist knows today will very likely become obsolete knowledge in less than 5 years. Professionals will have to continuously update their skill set to remain employable and employed. Companies will need to deliver continuous education and learning, and we might see more mid-career sabbaticals for upskilling in AI. In essence, the mindset shifts from “train once for a job” to “train constantly for a changing job landscape” will be adopted as the only way of working.

Conclusion

Digital humans and twins are transitioning from novelty to necessity. Companies such as the Mayo Clinic, Foxconn, and JP Morgan demonstrate their value in scaling efficiency and personalization. Leaders must prioritize workforce reskilling, ethical AI integration, and cultural adaptability. The future workforce will thrive as a blended human-AI ecosystem, where creativity and strategic oversight define success. Organizations, and individuals, embracing this shift will succeed in leading industries, turning today’s innovations into tomorrow’s business norms.

About the Author: Kieran Gilmurray

Senior IRPA AI Analyst & Advisor, Kieran Gilmurray is a certified executive coach, intelligent automation & digital transformation thought leader & content guru focused on helping solve complicated problems others can't.  For the past 25+ years, he has driven business digital transformation programs across a range of industries like digital technologies, intelligent automation, data analytics, social media and robotic process automation, having generated millions of dollars of value.

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Originally posted in the IRPA AI Network — Announcements & Updates

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