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