Posts
 |
| Artificial intelligence will behave differently in different cultures. Photo: Wikimedia Commons |
Efforts to develop artificial intelligence (AI) are increasingly being framed as a global race, or even a new Great Game. In addition to the race between countries to build national competencies and establish a competitive advantage, firms are also in a contest to acquire AI talent, leverage data advantages, and offer unique services.
In both cases, success will depend on whether AI solutions can be democratized and distributed across sectors.
The global AI race is unlike any other global competition, because the extent to which innovation is being driven by the state, the corporate sector, or academia differs substantially from country to country. On average, though, the majority of innovations so far have emerged from academia, with governments contributing through procurement, rather than internal research and development...
Moreover, in the current environment, national AI programs are competing for a limited talent pool. And though that pool will expand over time, the competencies needed for increasingly AI-driven economies will change. For example, there will be a greater demand for cybersecurity expertise.
So far, AI developers working out of key research centers and universities have found a reliable exit strategy, and a large market of eager buyers. With corporations driving up the price for researchers, there is now a widening global talent gap between the top firms and everyone else. And because the major technology companies have access to massive, rich data stores that are unavailable to newcomers and smaller players, the market is already heavily concentrated.
Read more...
Source: Asia Times
