How Will AI Play Into the Future of Design Tools?
Today’s issue is delivered by Mateusz Czajka, Chief Delivery Officer at Netguru
Working in design, I've witnessed firsthand the rapid evolution of the tools we use.?
In an industry where innovation and adaptation are paramount, staying ahead requires embracing the changing technologies.?
Here’s my prediction on what the future of design tools will be like. We’re witnessing a significant pivot towards AI-assisted design.
AI has been revolutionizing the design industry with its algorithms becoming indispensable in crafting aesthetic and engaging visuals. Through automated design tools, designers can swiftly produce high-quality projects, while AI-powered solutions accelerate the process. Moreover, AI analytics provides valuable insights into audience behavior and preferences, empowering designers to refine their strategies.
With its ability to recognize visual patterns and styles, designers can harness this intelligence to their advantage. AI-backed tools enable style transfer, transforming images while preserving their unique characteristics. Also, machine learning automates repetitive tasks, freeing up time for designers to explore new avenues of originality and innovation in their day-to-day.
Said that here are my speculations on the two directions AI in design will take:
1. AI Copilots
AI Copilots will mark a significant advancement in design, offering the potential to enhance day-to-day tasks and streamline design-to-code conversion processes.
Drawing parallels to AI advancements in development, such as Github Copilot, AI Copilots hold promise for revolutionizing the way we work. I envision AI Copilots playing a pivotal role at every stage of the design process, from analyzing user feedback and generating mood boards to facilitating bulk updates in large design projects.
Successful designers will evolve into more than just creators; they will act as Art Directors, harnessing the capabilities of AI Copilots to deliver superior results quickly and efficiently.
Designers who fail to adopt AI Copilots may risk being outperformed by their AI-enabled counterparts, highlighting the imperative for integration of AI into design workflows.
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2. Design-to-Code Conversion
Another outcome worth addressing is the perennial challenge of converting designs into functional code.?
The integration of AI presents a promising solution.
Previous attempts and current experiments, exemplified by initiatives like Locofy and Codejet, showcase the potential of AI in automating design-to-code conversion tasks. Seamless integration of AI tools into existing workflows is crucial for its success.
Design-to-code conversion, often regarded as a mundane and time-consuming task, is essential yet does not directly contribute to a business's competitive advantage. By leveraging AI for this task, designers and engineers can redirect their focus towards aspects of the product that truly differentiate it in the market.
Incorporating AI tools for design-to-code conversion is imperative, as this stage is ubiquitous across all projects, and AI positions itself to excel in it soon.
These possibilities already seem to be applied by Figma, making it my bet as a frontrunner platform that will be used. With its commitment to innovation, collaborative environment, and seamless integration of AI tools, Figma has set itself apart as a leader in the industry so far.
If you are interested in finding out more about this topic, check out these panels from Netguru’s recent Disruption Forum Design Horizons: AI and the Future of Digital Design:?
Best,
Mateusz?