# Introduction Remote work, hailed as the global work economy's future, continues to improve, thanks to the evolving artificial intelligence (AI) contribution. It’s no longer news that AI is reshaping industries globally, from software development and HR to inventory, project, and community management. In fact, it’s estimated that AI could contribute up to [$15.7 trillion](https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-the-prize-report.pdf) to the global economy by 2030, with [72% of organizations](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) already incorporating AI into at least one of their business functions. As remote work continues to grow, with [one in five workers working remotely](https://www.forbes.com/advisor/business/remote-work-statistics/) as of 2024, the need for AI-powered solutions becomes even more critical. In a recent survey, [90% of business leaders](https://www.microsoft.com/en-us/worklab/work-trend-index/ai-at-work-is-here-now-comes-the-hard-part) stated that AI improves work productivity—imagine how much it’d do for remote workers. This rise in AI usage and integration exposes the increasing demand for seamless, tech-driven solutions. In response to this trend and demand, Solisq aims to streamline the process of connecting buyers and sellers of AI services by offering a secure, decentralized platform where services and value can be exchanged effortlessly. Powered by Web3 crypto protocols, Solisq ensures complete anonymity for users, safeguarding their privacy while enabling a frictionless marketplace for AI-driven freelance services. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://solisq.gitbook.io/solisq-documentation/readme.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.