Say hello to AI Cloud

[MasudIbne756]

All the headlines touting the transformative powers of generative AI are, understandably, making some designers nervous. If they’ve had little or no experience working with AI or large language models (LLMs), it can be especially daunting. But, designers are actually well-positioned to meet this moment. Many just don’t know they have design skills that translate into AI skills.

Some core design skills that underpin strategies for generative AI include:

Interaction design
Systems design
Human-centered design
Ability to communicate ideas
Designers are more ready than they think and they can feel confident about the value they bring to AI.


You need real-time access to automation across your business to make AI work for you. Meet the end-to-end solution for every business to get started now.

Start your journey

Salesforce designers who work on Salesforce Artificial Intelligence, refer america phone number list to generative AI as a “word calculator” that can produce an output optimized for users. Framing the design and AI relationship this way makes it easier to understand how those who have a design background can make an impact. Plus, it’s especially worth calling out these transferable skills now when many companies are scrambling to build their generative AI teams.

Transferable design skills
Designers need to tap their existing superpowers, starting with these four design skills, and understand how they can inform AI innovations.

1. Interaction design improves personalization
Interaction design is a specialty within user experience that focuses on understanding the goals, context, and behavior of the person trying to complete a task. Designers use this knowledge to inform everything they create. This may include navigation structures, information design, click paths, and micro-interactions.

Today, personalized interactions are more possible with AI because it can get more granular about the user and the context. Increasingly specific commands, context, goals, and expectations equate to better results. When AI creates an email from a salesperson to a potential customer, for example, it needs to know more about the interaction including.