欧晰析咨询：2024年专业服务领域的生成式AI变革：挑战与机遇分析报告（英文版）（11页）.pdf

1、The Ivory Tower RethoughtGenAI Disruption in White Collar Strongholds2|OC&C Strategy Consultants 2023Common ComplacenciesThese are sometimes true,but not as often as people tend to thinkA rude awakening:white collar businesses are often complacent about the defensive moat the complexity of their wor

2、k provides against GenAICommon GenAI Myths for White Collar BusinessesCommon GenAI MythsSource:OC&C analysisEvidence to the ContraryLLMs are developing rapidly OpenAIs ChatGPT has advanced significantly in the space of a few years,e.g.GPT-2(2019)had 1.5bn parameters,but GPT-3(2020)had 175bn;GPT-4 wa

3、s the first model to feature internet connectivity significantly boosting its capabilitiesCosts and complexities of fine-tuning currently put“data lake”benefits out of reach for most businesses even after significant investment and internal AI headcount,hallucinations and performance issues are wors

4、e where the tool is fed with private/proprietary data(as shown by high-profile struggles of Bloomberg GPT)Scale players are developing private LLMs running off ringfenced data sources e.g.EYs EYQ chatbot that is fully privateGenAI cannot do my type of workData security means GenAI cant do my workMy

5、proprietary data will be my defence mechanismLower cost to serve means more demand for my servicesIn some scenarios demand increases driven by lower cost to serve will drive volume increases(e.g.translation).However,this is not always the case(e.g.court reporting)and it is not self-evident that incu

6、mbents are best placed to win the incremental demand that is created2GenAI B2B IP v0603243|OC&C Strategy Consultants 2023In the face of this,there are 3 key questions that white collar businesses should be considering in the age of GenAIEven if I can be front-footed on GenAI,what are the implication