How AIGC Is Redefining Design Productivity: Insights and Practices

This article is a speech script titled “AIGC Design Productivity’s Epoch: Insights and Practices”. It reflects on the emergence of AGI and AIGC in 2023 as a faint light of hope in darkness.

The content was created with the assistance of large language models, framing the talk as a confession‑style presentation.

AGI and AIGC in 2023 are described as a dim beam of light offering hope in a dark night.

Two months ago the author received a topic request and used a large language model to generate the theme “AIGC Design Productivity’s Epoch: Insights and Practice”.

The talk begins with a video created from multiple open‑source Text‑to‑Video solutions, taking about 30 minutes to render.

The video’s core idea will be decoded at the end, inviting the audience to view the design concepts through an observer’s lens.

As AGI and AIGC approach a singularity, designers do not need grand narratives; the fundamental principles and methods they have already form the foundation of the AIGC era, allowing designers to focus on imagination.

How far can AIGC‑driven imagination go?

A recent analogy compares breaking the ceiling of imagination to a beautiful mushroom.

Design in the AIGC era starts from the “Prompt” as the origin point.

Sam Altman’s 2023 discussion on Prompt value highlighted that mastering Prompt‑based dialogue with chatbots is a high‑leverage skill.

AIGC presents an “ill‑posed” problem: design tasks lack fixed conditions, requiring designers to interpret based on personal worldview, leading to multiple possible solutions.

Two concepts introduced in 2017—affordance and AI‑native design—affect how designers interact with new technologies. Affordance signals how an interface can be used, while AI‑native design integrates AI seamlessly into user experiences.

These design patterns lower learning costs, increase user engagement, and boost brand value.

While AIGC can generate large volumes of content efficiently, lacking emotion and storytelling can make outputs dull.

Storytelling, a timeless human practice, can be combined with AIGC to create emotionally resonant designs that convey complex technical concepts in an accessible way.

Design’s role is to translate abstract ideas into tangible reality, providing value to users and enabling early‑stage testing.

Ethical considerations include bias in AIGC models, privacy protection, and the risk of reduced human creativity.

Positive computing combined with service design can make AIGC‑generated content more human‑centric, personalized, and valuable, improving user experience and fostering loyalty.