Consume or customize: Generative AI for everyone Companies will use these models to reinvent the Creating. Generative AI will become an essential Automating. Generative AI’s sophisticated way work is done. Every role in every enterprise creative partner for people, revealing new ways understanding of historical context, next has the potential to be reinvented, as humans to reach and appeal to audiences and bringing best actions, summarization capabilities, and working with AI co-pilots becomes the norm, unprecedented speed and innovation in areas like predictive intelligence will catalyze a new era dramatically amplifying what people can achieve. In production design, design research, visual identity, of hyper-efficiency and hyper-personalization any given job, some tasks will be automated, some naming, copy generation and testing, and real- in both the back and front office—taking will be assisted, and some will be unaffected by the time personalization. Companies are turning to business process automation to a transformative technology. There will also be a large number of state-of-the-art artificial intelligence systems like new level. One multinational bank is using new tasks for humans to perform, such as ensuring DALL·E, Midjourney and Stable Diffusion for their generative AI and LLMs to transform how it the accurate and responsible use of new social media visual content generation outreach. manages volumes of post-trade processing AI-powered systems. DALL·E, for example, creates realistic images and emails—automatically drafting messages with Consider the impact in these key functions: art based on text descriptions and can process up recommended actions and routing them to the to 12 billion parameters when transforming words recipient. The result is less manual effort and Advising. AI models will become an ever-present into pictures. Images created can then be shared smoother interactions with customers. 5 co-pilot for every worker, boosting productivity on Instagram and Twitter. Protecting. In time, generative AI will support by putting new kinds of hyper-personalized Coding. Software coders will use generative AI to enterprise governance and information security, intelligence into human hands. Examples include significantly boost productivity — rapidly converting protecting against fraud, improving regulatory customer support, sales enablement, human one programming language to another, mastering compliance, and proactively identifying resources, medical and scientific research, programming tools and methods, automating code risk by drawing cross-domain connections corporate strategy and competitive intelligence. writing, predicting and pre-empting problems, and inferences both within and outside the Large language models could be useful in and managing system documentation. Accenture organization. In strategic cyber defense, LLMs tackling the roughly 70% of customer service is piloting the use of OpenAI LLMs to enhance could offer useful capabilities, such as explaining communication that is not straightforward and 6 can benefit from a conversational, powerful and developer productivity by automatically generating malware and quickly classifying websites. intelligent bot, understanding a customer’s intent, documentation – for example, SAP configuration In the short term, however, organizations can formulate answers on its own and improve the rationale and functional or technical specs. The expect criminals to capitalize on generative AI’s solution enables users to submit requests through capabilities to generate malicious code or write 4 7 accuracy and quality of answers. a Microsoft Teams chat as they work. Correctly the perfect phishing email. packaged documents are then returned at speed — a great example of how specific tasks, rather than entire jobs, will be augmented and automated. A new era of generative AI for everyone | 7