The seaweed farming industry is steadily growing in the Western world, fueled by rising interest in advanced farming techniques and premium applications. Similar to agriculture, a significant breakthrough in large-scale farming can be anticipated once the farming process becomes mechanized. However, considerable manual labor is still required in today’s seaweed farming, which limits opportunities for scaling. In this chapter, we assess the methods of propagating, seeding, and deploying kelp while evaluating how the process has become mechanized. We discuss traditional methods of using twine and other vectors to aid the attachment of juvenile seaweeds to the cultivation substrate. Additionally, we evaluate the alternative approach of applying MultiAnnual Delayed (MAD) gametophytes as a “seed” utilizing the potential of the full generative cycle of kelp. Applying MAD gametophytes for propagation enables cost-effective and relatively rapid genetic improvements by leveraging stable gametophyte parental strains to produce F1 hybrids. Induced gametophytes and juvenile sporophytes can be generated through low-maintenance operations and are employed in precision direct seeding. The genetic and physiological advancements (e.g., priming) achievable through the propagation of gametophytes instead of meiospores are substantial, leading to a significant increase in the predictability of sporophyte density. Over the past decade, significant progress has been made in alternative propagation and seeding technologies for kelp species. However, the implementation of these technologies remains relatively limited, particularly in Asia, where they are seldom utilized in production. The use of MAD gametophytes presents an opportunity to scale seaweed farming for the future economically, turning potential impacts on the environment, climate, and food security into a reality. Reforestation projects will also benefit from knowledge about direct seeding, as this method is applicable to natural substrates like rock. Technological advancements are happening rapidly and are currently being tested and implemented.