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<v ->Generative AI could make it easier than ever before</v>

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for your company to adopt AI at scale.

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We are, of course, seeing a lot of excitement

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about how generative AI will impact productivity

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and significantly reduce cost.

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However, generative AI's democratizing powers also means,

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by definition, that your competitors

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will have the same access to these use cases.

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And this is why we think CEOs

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should focus less on these table stakes use cases

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and instead focus on golden use cases

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that will bring true competitive advantage in the long term.

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These use cases could come from any point

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along the value chain.

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At the beginning of the value chain,

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generative AI can be used to innovate quickly

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on entirely new offerings.

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For example,

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Profluent Bio integrated Salesforce's ProGen model

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into their R&amp;D process to quickly discover new drugs

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through inverse design.

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But what is inverse design?

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It means you ask for specific functionality

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and the model will generate molecules

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with that functionality.

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Soon, they will simply prompt for molecules

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that will tackle diabetes

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and create new therapies from the results.

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Once CEOs have their golden use cases,

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they will need to work with their tech teams

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to decide how to embark with LLM (Large Language Model) providers.

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The market is rapidly evolving,

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so it is important to be careful

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about where you place your commitments and your bets.

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Look across the entire spectrum of options,

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while carefully assessing cost,

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talent requirements, data privacy concerns,

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and partnership options,

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varying what you do in-house

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versus outsource to these providers.