Edward Robinson, chief economist at the Monetary Authority of Singapore, said at the Beijing Financial Street Forum on October 20 that central banks may be able to ease monetary policy once artificial intelligence delivers broad productivity gains. For now, however, the AI investment boom is boosting demand, so policy should remain appropriately restrictive.
He noted that AI-related investment is driving economic growth, but the technology has yet to deliver significant productivity gains across the broader economy. He called for a gradual, data-dependent approach.
A statement on October 14 warned that domestic inflation could remain elevated if the AI boom spills over into the broader economy and pushes up unit labor costs.
Robinson said AI-driven electronics accounted for more than 70% of Asia’s export growth this year. But growth in industries producing AI-related technologies has stemmed mainly from increased investment and more intensive use of existing resources, rather than efficiency gains.
Citing OECD estimates, he said that, if adopted broadly enough and supported by adequate investment, AI could raise annual total factor productivity growth by up to 0.6 percentage points.
Regarding the disclosure that “Edward Robinson, chief economist at the Monetary Authority of Singapore, said at the Beijing Financial Street Forum on October 20,” I am more interested in whether the conditions set out in the original report can be verified than in simply accepting a bullish or bearish conclusion. This records the interpretation and judgment of a particular person; an opinion should not be treated as a policy change that has already happened or as a future outcome.
Going forward, I will compare the conditions cited in the original report with actual data, one by one. If those conditions do not materialize, or if developments run counter to the assumptions, this interpretation will need to be reassessed. Do you agree with the conditions in the original report, or do you have counterevidence that better explains the trend?
He noted that AI-related investment is driving economic growth, but the technology has yet to deliver significant productivity gains across the broader economy. He called for a gradual, data-dependent approach.
A statement on October 14 warned that domestic inflation could remain elevated if the AI boom spills over into the broader economy and pushes up unit labor costs.
Robinson said AI-driven electronics accounted for more than 70% of Asia’s export growth this year. But growth in industries producing AI-related technologies has stemmed mainly from increased investment and more intensive use of existing resources, rather than efficiency gains.
Citing OECD estimates, he said that, if adopted broadly enough and supported by adequate investment, AI could raise annual total factor productivity growth by up to 0.6 percentage points.
Regarding the disclosure that “Edward Robinson, chief economist at the Monetary Authority of Singapore, said at the Beijing Financial Street Forum on October 20,” I am more interested in whether the conditions set out in the original report can be verified than in simply accepting a bullish or bearish conclusion. This records the interpretation and judgment of a particular person; an opinion should not be treated as a policy change that has already happened or as a future outcome.
Going forward, I will compare the conditions cited in the original report with actual data, one by one. If those conditions do not materialize, or if developments run counter to the assumptions, this interpretation will need to be reassessed. Do you agree with the conditions in the original report, or do you have counterevidence that better explains the trend?