The notion that building a larger stockpile of “data” and denying it to other countries will give one a relative advantage is misguided. Countries implementing data nationalism in Asia are some of the most populous countries in the region/world, i.e. they already produce a large amount of data. What would be more helpful is for them to maximize their existing supply of reusable data by getting more firms to use ICT to generate, collect, and analyze data. Having a large cache of raw, unprocessed data is itself not helpful. What is important is how that data is leveraged to generate insights and unlock value. To this end, countries should focus on how to assist local firms, MSMEs in particular, to understand how they can generate and create value from data, including information they create and collect themselves. This should be complemented by efforts to increase data literacy among workers and improve digital infrastructure. As more firms use ICT services, more data can be generated, collected, and analyzed. This will lead to the sort of virtuous cycle of growth that countries need to propel their data aspirations.
A Turning Point for US Trade Policy
American trade policy has been like the proverbial frog in a pot, slowly simmering under increasing heat. At a certain point, the frog will not be able to survive, even if it were suddenly rescued. The US, it appears, has reached this juncture. Were any country other than the United States to have taken this set of steps in a week, Washington would have been aghast. Instead, it was largely shrugged off as “just another week in DC.” The fact that the United States could take such actions as escalating tariffs to 25% on potentially $500 billion in goods from China, possibly seal the fate of one of the most important telecommunications firms globally, make national security arguments about the threat level emanating from cars arriving from US allies, and continue to watch the multilateral trade system crumble and then argue that it is “just another week” is especially telling.