The limitation to improvement in AI efficiency is not in the technology, but in the implementation of the technologies. One of the problems is placing too much confidence in new equipment or techniques and abandoning basic principles. Performance optimums must be defined so they can be achieved with the new technology. This will benefit operations by reducing costs, reducing labour, or improving the use of genetically superior animals. If these cannot be defined it will be hard to sell that technology. Problems with adoption of new technologies include lack of training and information, lack of focus on detail, lack of success and fear of failure, and increased costs and labour (rather cancelling out the benefits of the new technology). Principles behind adopting new technologies for employees include participation in learning, repetition of task, relevance (what it means to do what they do), transference (training in relevance to the actual job), and feedback. Make sure that the employees know that this new technology does not replace the basics! Educate employees about every step from every perspective to help them understand what and why the technique is performed. Never assume information is known or understood.