What are the most influential trends shaping the UX industry right now? Discover the top UX trends for 2024\u2014and what they mean for designers.<\/p>\n
The UX industry is in a constant state of evolution. And now, with the rise of AI, we find ourselves entering a new and exciting phase. \u00a0 As AI technology advances, the opportunities for UX designers are seemingly endless. AI can streamline many aspects of the UX design process\u2014and it\u2019s empowering designers to create more personalised, user-centric products and experiences than ever before. But, for every opportunity that AI brings, it also presents a whole new set of challenges. It\u2019s both an exciting and testing time for the UX industry and navigating this next wave of trends will prove crucial.<\/p>\n
The trend of all trends, artificial intelligence is transforming the world\u2014and UX\u2014as we know it. By 2025, it\u2019s estimated that AI and machine learning (ML) will drive over $4 trillion in business value. As it stands, over 80% of businesses have adopted AI in one way or another. \u00a0For the UX industry in particular, the impact of AI is huge\u2014and we\u2019re just at the beginning. 53% of companies are currently using AI technology to innovate their products and services; a number that will grow significantly through 2024 and beyond. Indeed, interest in\u2014and demand for\u2014AI-powered design tools is high and growing. According to Google Trends, the search volume for AI design-related tools and software has increased 1700% from 2022 to 2023 alone. Likewise, searches for the term \u2018generative AI\u2019 have increased by 8,500% in the last few years.<\/p>\n
Personalisation<\/em> has long been a hot topic in user experience (UX) and user interface (UI) design, and it\u2019s nothing new. The likes of Netflix and Spotify have been using machine learning algorithms to provide highly personalised experiences for almost twenty years. \u00a0But, with advancements in AI technology, personalisation is now reaching unprecedented levels of complexity and sophistication. Cue the era of hyper-personalisation.<\/p>\n Take Spotify<\/strong> for example. When Spotify first launched, its personalisation capabilities were relatively basic. It relied on simple algorithms that considered factors such as user listening history, favourite artists, and manually curated playlists to generate recommendations.<\/p>\n Now, as AI technology has advanced, Spotify can analyse much larger volumes of data that go beyond user listening history. It can also evaluate contextual factors such as time of day, location, what device is being used, and even what mood the user is in.<\/p>\n Google\u2019s Gemini<\/strong> also speaks to the rise of increasingly bespoke user interfaces that adapt and respond based on the user\u2019s intent. \u00a0Launched at the end of 2023, Gemini is being touted as Google\u2019s most capable AI model to date. It\u2019s been built to be \u201cnatively multimodal\u201d which means it can seamlessly understand, operate across, and combine different types of information\u2014including text, code, audio, image, and video. \u00a0Based on the information and context provided by the user, Gemini will generate a completely custom-made interface to provide the user with the information they want, in the most valuable format\u2014be that a list, a selection of images, a step-by-step guide, or something else entirely. We recommend watching the Gemini product demo to see this AI newcomer in action.<\/p>\n UX designers aren\u2019t only designing with <\/i>AI. They\u2019re also increasingly tasked with the new challenge of designing for <\/i>AI. That is, integrating AI into existing products or designing AI-assisted experiences from scratch. As a result, we\u2019re seeing the first hints of a new trend: the emergence of distinct interaction patterns and principles for designing AI-assisted experiences. Luke Wroblewski, an internationally recognised digital product leader, introduces three high-level interaction patterns<\/strong> he\u2019s noticing.<\/p>\n