This study undertakes an empirical exploration of the intricate interplay between macroeconomic variables and poverty in Pakistan. By employing an autoregressive distributive lag model, we scrutinize both short- and long-term relationships between these critical factors over a span of 41 years: 1980-2021. Our findings elucidate that in the short-run, GDP, inflation, and education exhibit negative impacts on poverty, while in the long-run, GDP, inflation, interest rates, exchange rates, and education maintain negative associations with poverty. Moreover, imports, exports, and the balance of payments show no significant short-term impact on poverty, but in the long-run, they establish a positive relationship with poverty. These results underscore the imperative of enhancing the education system, particularly in technical education, as a means to combat poverty. Furthermore, improving the ease of doing business to attract foreign investment emerges as a crucial avenue for stimulating economic activity, reducing unemployment, and alleviating poverty.