– Generative AI's impact on design is not limited to image services but encompasses various aspects of the design process.
– It will help conceive experiences, from entire products to microinteractions, using designs suitable for training models.
– Generative AI can assist in design research by generating synthetic data for quantitative and qualitative studies while protecting user privacy.
– It enables the creation of new design assets and variants, combined with existing design systems for brand alignment and consistency.
– Popular design technology providers are increasingly incorporating generative AI features for digital product teams.
– Current applications include clustering concepts, summarizing research findings, generating ideas, eliminating tedious tasks, and creating images from illustrative to photorealistic.
– Organizations are advised to apply generative AI in areas where it can benefit today, learn through experimentation, and try AI-enhanced tools from design tech providers.
– Caution must be exercised when using generative AI to vet its output, edit and improve as needed, and eliminate or adjust biases in the outputs.
– Confidential information should not be provided as prompts unless the organization controls the model.
– Despite generative AI's power, organizations should continue creating from scratch to avoid stagnation and stale results.
– The report discusses Kick, an upstart platform, that is challenging Twitch by offering large contracts to popular streamers, potentially disrupting the live-streaming market.
– Kick's aggressive approach to attract creators has resulted in significant growth, but its long-term profitability and revenue model are still in question.