With its generative powers and intelligent help, Autodesk AI—which was unveiled last
fall—enables users to unleash creativity, find quick solutions to issues, and get rid of a variety of unproductive tasks. Autodesk AI is a virtual assistant, based on generative AI, that is available across the Autodesk product line. It helps designers and engineers become more productive, operate more efficiently, and innovate more quickly by reducing their learning curve.
in the operating unit of AEC. AI is used by Autodesk's Construction IQ product to forecast, stop, and manage construction hazards that could affect schedule, budget, quality, and safety. AutoCAD uses artificial intelligence (AI) to understand both digital and handwritten markups, allowing drafters to iterate more quickly. It first ascertains the user's purpose before suggesting context-aware actions.
Autodesk's generative AI(gen AI) capabilities in product design and manufacturing fully enable the auto industry's conceptual design exploration, resulting in accelerated outcomes and 3D models that can be quickly created and edited in real-time using natural language and semantic controls without the need for advanced technical skills. Users can automatically develop product designs that are optimised for production costs and procedures using Autodesk's Fusion 3D CAD platform.
(Source: Forbes)
The Generative AI Landscape
By year's end, the generative AI models market is projected to grow to $66.62 billion globally. The biggest individual market, the United States, will account for a substantial portion of that rise and is predicted to reach $23 billion by year's end.
According to a Bloomberg analysis, the market for generative artificial intelligence (AI) might grow at a CAGR of 42%. By 2032, this explosive increase might bring in an additional $280 billion in software income.
Deloitte polled 2,620 companies worldwide to learn about their opinions regarding GenAI. In the next five years, AI, according to 94% of company executives, will help their companies. Businesses utilise this technology for voice assistants, chatbots, and conversational AI, according to 44% of respondents, and for cloud pricing optimisation (41%)
How Generative AI is Powering Product Design and Innovation
Industrial designers may now explore a wider range of ideas and product experiences, even ones they had never considered, and build initial design concepts much more quickly than they could with old approaches. Applications of generative algorithms range from product packaging to automotive components and shop displays.
Additionally, as businesses strive to perfect every aspect of the user experience, they may get more accurate input from customers thanks to the capacity to visualise concepts in high fidelity far earlier in the design phase (see images below). According to McKinsey, generative AI in design might increase productivity by $60 billion only in product research and design.
- Enhanced creativity: Generative AI allows designers to experiment with more choices than they could independently. More imaginative and unique product designs may result from this.
- Better decision-making: Generative AI can be used to swiftly and effectively generate and assess various design possibilities. This can aid in the decision-making process for product designers.
- Saved money and time: Product designers at any software product engineering company can benefit from the automation of certain jobs by utilising generative AI. This may shorten the product development process and lower costs.
You may drastically alter how you innovate, investigate, and choose which new business opportunities and software product engineering solutions to pursue with the aid of generative AI. For example, Rationale is a tool that assists business owners in making critical decisions by taking your background and all pertinent factors into account.
Powering Concepts and Ideas with Gen AI
The technology's capacity to produce original, lifelike visuals in response to professional cues can encourage more daring research and provide unique, possibly groundbreaking concepts. The concept development process can be greatly accelerated by using these visualisations, data, and other outputs that are produced when designers enter rough sketches, insights from ethnographic research, and features based on customer sentiment into a general artificial intelligence (gen AI) tool.
All the same, the images generated usually cannot be used in their initial state (some may not match the company's vision, some may not meaningfully reflect the designer's prompt, and some still may be unusable), so human intervention by an expert designer is still required to validate, test, and refine outputs to make them meaningful, manufacturable, and impactful.
Generative AI in product development
Designers and product teams are being forced to embrace a new era of product development through AI-powered UX interactions as the emergence and integration of Gen AI into product development continues to push the boundaries of what is possible, redefining how we interact with digital products and services.
By providing immediate direction and user-guided limits to enable real-time content development, generative AI has also completely redesigned the creative process and revolutionised how we produce and engage with digital material.
The concept of personalisation may now be redefined and enhanced thanks to generative AI, which allows us to dynamically adjust user interfaces to individual preferences and behaviours.
The Bottom Line
Leaders should keep a close eye on the gen AI space if they want to employ the technology for product testing and simulation in the future. We expect even more features to become available to streamline the handoff between design and engineering and significantly speed up engineering processes as the technology continues to evolve at a rapid pace.
Gen AI software solutions are now making their way onto the market, allowing engineers and industrial designers to quickly convert product conceptions into CAD models. This enables them to start the engineering process and model goods much more quickly. Even though the generative AI tools are still in their infancy, we can already envision that they will significantly enhance and expedite design-to-engineering handovers in the not too distant future.
