Systems and methods for artificial intelligence optimization of developing advertisements

A system for developing, using artificial intelligence, optimized advertisements comprising:

• at least one non-transitory memory;
• and
• at least one processing device, the memory containing software code configured to cause the processing device to:
• gather data from a plurality of data sources;
• extract, using a machine learning algorithm, at least one of a plurality of customer behavior features or a plurality of financial institution behavior features based on the gathered data;
• process the customer behavior features and financial institution behavior features using one or more trained foundation models, wherein the trained foundation models are selected based on a plurality of foundation model selection variables, and wherein the trained foundation models output one or more foundation model outputs related to an advertisement instruction;
• input the foundation model outputs and a plurality of goal inputs into a trained campaign execution model, wherein:
• the goal inputs comprise one or more of a plurality of financial institution products, a plurality of financial institution product variants, a plurality of financial institution parameters, a plurality of financial institution regions, a plurality of financial institution growth strategies, a product response, a market response, a plurality of a campaign duration, a campaign budget, or an available campaign channel;
• the trained campaign execution model is trained based on the foundation model outputs and the goal inputs;
• output, from the trained campaign execution model, a natural-language advertisement response, wherein the advertisement response is based on the goal inputs.