Five ways Generative AI is already copiloting work.

Generative AI assists workers in two key ways. First, by automating well-defined and highly repetitive asks, GAI allows workers to spend more time on the more complex aspects of their jobs. Importantly, this is likely to improve job satisfaction for all workers. Second, GAI can augment and assist workers to complete these more complex tasks. For example, the ability to suggest step-by-step problem solving instructions means GAI is guiding workers through new skills and new ways of approaching problems.

The Developer

While coding companions aren’t new, GAI powered companions surpass existing technology by being able to understand a coder‘s aims and suggest an entirely new approach to solving a problem. This allows coders to do more high-value thinking, including collaborating with product managers to think carefully about the desired end-user experience. Additionally, GAI can translate natural language to code, making coding a skillset available to all.

Users of GAI coding companions complete tasks in 56% less time than non-users2

The Creative

GAI can handle repetitive and time-consuming tasks – allowing creatives to focus on higher-level tasks such as creative direction, ideation, and strategy. DALL-E, an AI system developed by OpenAI, can generate high-quality images based on textual descriptions, which can be useful for advertising, marketing, and branding. Another example is Copy.ai, an AI-powered tool that could be used to generate human-like text for ads, product descriptions, and social media posts.

In 2022, 14% of surveyed creatives were already using Generative AI in their work3

The Salesperson

GAI can provide hyper-personalised intelligence to improve customer interactions. This could include crafting personalised engagements based on customer data and preferences, generating engaging marketing materials, creating interactive product demos and providing real-time language translation during sales calls with non-native speakers. This leads to a more streamlined and interactive experience for the customer.

GAI conversational assistants help customer support agents resolve 14% more issues per hour4

The manager

GAI can help managers stay in tune with their team by supporting communication, creating training
materials, identifying trends in employee sentiment, and analysing performance data. Additionally, GAI can allow easier access to business intelligence, analysing company data to assist managers in completing request for proposals (RFPs), understanding clients, and assisting resource planning.

GAI tools have been shown to reduce the time of writing tasks by 37%, with improved quality5

The Researcher

GAI can be a valuable copilot for researchers. Through interactive conversations, GAI models can help researchers think through complex problems and develop frameworks to structure research projects. Furthermore, GAI can assist with writing tasks, such as generating outlines, suggesting word choices, and proofreading. Image-based models can also increase the size of datasets, by creating realistic synthetic images (for example, of biological structures) that assist research.

AlphaFold2 has predicted the 3D coordinates of over 375,000 protein structures, significantly accelerating research in structural biology6

REFERENCES: Notes: 1. One of the first Integrated development environment (IDE), Turbo Pascal, was released in 1983. 2. Kalliamvakou, E (2022). Research: quantifying Github Copilot’s impact on developer productivity and happiness. 3. Shutterstock (2022) What do creators think about Generative AI. 4. Brynjolfsson et al (2023) Generative AI at work. Working Paper. NBER 5. Noy and Zhang (2023) Experimental Evidence on the productivity effects of Generative Artificial Intelligence. Working Paper. MIT. 6. Jones DT, Thornton JM. (2022) The impact of AlphaFold2 one year on. Nat Methods. 2022 Jan;19(1):15-20



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