Synthetic reality is prompting a transformative shift in media creation and business communication. Unlike augmented and virtual reality, which require people to use display devices to enhance the real world or create artificial ones, synthetic reality can create a digital twin of a real person, in some cases with just a few minutes of webcam video as a baseline. And the technology is fast becoming more than just another capability to add to an ever-growing list of AI-driven innovations. It’s far bigger than that, both in its promise and challenges for doing business in a world where reality itself can sometimes come into question.
The rapid rise of AI, especially generative AI (GenAI), has sped up synthetic reality’s growth and adoption. In the past year alone we’ve seen a torrent of new academic research, tools, startups and even established tech giants demonstrate capabilities in this emerging space. VASA-1, an AI model from Microsoft, produces “lifelike audio-driven talking faces generated in real time” with nothing more than a single static image and an audio clip. Nvidia-backed Synthesia creates expressive avatars that can learn facial expressions and body movement in relation to spoken content and sentiment.
What once seemed futuristic is now becoming mainstream — and as AI and GenAI become intrinsic to business operations, they can enable even more sophisticated and accessible tools for creating synthetic reality media and experiences. This rapid evolution, however, also means that our ability to keep up with ethical standards, security measures and verification processes is bound to be constantly tested. The same technology that enables innovative customer interactions can also lead to misinformation and trust issues.
But while enterprises should proceed with diligence to implement these technologies responsibly, they shouldn’t delay adoption. The ability to create personalized, multilingual interactions at scale with uncanny accuracy can significantly enhance customer experience, expand market reach and improve operations.
Synthetic reality’s now part of our new business reality, and it’s here to stay.
People don’t scale, but technology does. Synthetic reality uproots our previously conceived ideas of what an enterprise can accomplish while still maintaining one-to-one human connections.
Synthetic reality solutions have the ability to create tailored, audience-specific content in a more cost and time-efficient manner without compromising quality. Using nothing more than a text input, avatars can say anything in almost any language, use different accents or emulate our speech patterns and inflections. They can express human-like emotions, answer questions and engage in live streaming discussions thanks to GenAI large language models and natural language processing.
No special software or systems are needed to experience these avatars, allowing organizations to level up their communications with unprecedented efficiency, speed and scale. For amplified effect, these avatars can also be placed in virtual or augmented environments requiring more specific software or systems or devices.
Here are some of the many potential use cases for synthetic reality.
When anyone with an internet connection and some software can create convincingly realistic media, trust becomes both precious and precarious. You should take the following steps to help enable the verification needed to earn stakeholder and customer trust.
Responsible approaches and practices are critical to successful synthetic reality execution and adoption. Embracing this technology can be crucial for maintaining trust and leveraging its full potential.
Synthetic reality is not about machines replacing humans. It’s about humans using technology to help improve our work and grow our relationships. It’s about achieving emotional as well as enterprise scale, freeing ourselves to make greater use of our time and energy.
By placing human values at the core of technological development, we can create a future where synthetic reality strengthens our trust in digital interactions and with each other.
Discover new ways to transform your business with emerging technologies.
Chief AI Engineering Officer, PwC US
Larry Gioia
Emerging Technology R&D Director, PwC US