Within this chapter, several automation, artificial intelligence (AI), the future of work, digital platforms for entrepreneurship, and job creation preceptive are illustrated, showing how the technology, we expect to accelerate our work on the technology SDGs has a tendency to be omitted when it comes to classified and over-classified information due to limited technological acceptance. Sustainability reports and published literature rarely discuss it, and company blogs rarely highlight it. For this reason alone, it is surprising that we include here two mentions of technology with weighty implications for ensuring that developing countries do not get left behind in the technological chasm despite the best efforts of the market. The principle of replicability, or striving to create something that can be copy-pasted into scores of projects yet to come, could not be more pertinent. Furthermore, the existing framework posits that although its purpose is not to be unique, it has passed a sufficient number of tests that we, with our knowledge and know-how, can confidently adjust it complimentary to what is unique about each area that we aim to influence using promising technologies, thus “scaling” our impact when it comes to economic growth and decent work. Bringing these “enough,” “unique,” and “confident” variables into our proof-of-concept or pilot work will make for the most effective replication and scaling efforts. The “what” of replicability and scalability is, therefore, fundamental, and this explainer provides inputs aplenty. Finally, the chapter also shares lessons on how co-creating with future replicators, having flexibility top of mind without “equating flexibility with changing,” using net benefits to attract stakeholders, and the “dynamic baseline philosophy” can help deliver.