13 October 2021
Since writing about peak macro in the last edition of Global Macro Outlook, global economic data has presented—as expected—upside surprises on inflation with downside surprises on growth.
Over the summer, we saw mounting evidence that supply chain disruptions were hampering growth activity and that stagflationary dynamics were at play; however, we continue to believe that inflation will moderate in 2022 and global growth will remain relatively elevated, particularly in the United States.
As we approach Q4, we believe that the worst of the stagflationary concerns have mostly been priced into the markets as upside surprises to inflation moderate and downside surprises to growth should ease.
To be clear, this has less to do with these stagflationary pressures actually moderating and more to do with the (improved) alignment of market expectations with what’s really happening. We believe this to be particularly true for the United States and Europe. In our view, the market narrative will now likely shift away from stagflation to what we call a fragile and transitory Goldilocks base case in Q4.
In terms of monetary policy, while the current environment might feel a little more hawkish relative to even just a couple of months ago, we expect central banks will adopt a more dovish stance heading into year end, particularly in 2022.
Broadly speaking, the main macro drivers that point us in the direction of a fragile Goldilocks narrative are:
We believe that the key downside risks confronting markets can be categorized into three buckets, which we call the three bears, any of which could put an end to the fragile fairy tale pretty quickly—not least because we’re already in mid- to late cycle and have also likely seen peak earnings expectations. Put differently, this is not the time for big bets. We could find ourselves back in the stagflationary regime, or a more problematic stagnation regime (declining growth and declining inflation), without warning.
Monetary policy—Global central banks are sounding more hawkish—U-turns from the Bank of England (BoE), policy adjustments from the European Central Bank (ECB), a Bank of Canada (BoC) that’s actively tapering, and a U.S. Federal Reserve (Fed) that’s set on winding down its asset purchase program.
Fiscal policy—Global fiscal policy is also in tightening mode, and we believe we’re well past the point of peak fiscal support, especially in Asia and Europe. The picture isn’t too different in the United States. Heading into year end, we believe there’s ample room for headline risk related to a smaller-than-expected bipartisan infrastructure bill, potential corporate tax increases, and the growing likelihood of being faced with another debt ceiling—all of which would have an impact on the global growth outlook.
While we believe the market is far more aware and sensitive to the risk of stagflationary developments (i.e., rising prices that could erode growth) than before, it still represents a material risk to global growth dynamics—particularly as major economies continue to shutter ports and place a cap on economic activity in pursuit of a zero-COVID-19 strategy. More than ever, investors should pay attention to developments on the supply side.
In our view, the downside risks in the coming quarter are most concentrated in China, where the delayed effects of policy tightening (credit, monetary, fiscal, regulatory) are likely to continue to weigh on growth, perhaps a little more than expected or had been intended. We also expect broader regulatory clampdowns to persist through 2022. Unsurprisingly, investor sentiment toward China remains negative. Crucially, we believe China isn’t well positioned to tackle risks associated with a stagflationary environment.
Real assets and the infrastructure behind AI
Artificial intelligence (AI) is often positioned as a story of models and applications, but its growth depends heavily on something far more tangible. Real assets such as data centres, power grids, and raw materials form the physical that supports AI development. As structural forces reshape the investment landscape, real assets are emerging as an enabler of the AI buildout.
AI innovation: Asia helps build many of the world’s technologies behind it
When electricity first arrived, the world built the necessary infrastructure – power plants, transmission lines – before the real transformation could take hold. A similar process is happening with artificial intelligence (AI). Today's massive investment in chips, data centres, and power grids is laying the foundation for a potential expansion in AI application that could take years to develop. In our view, the discussion is increasingly shifting from whether AI adoption will continue to how the enabling infrastructure is being built. Asia appears to be playing an important role in that development.
The engine behind AI: Semiconductors are fuelling the next era of technology
Semiconductors belong to one of the most specialised yet globally integrated industry chains. From design, equipment, and materials to manufacturing and commercialisation, the production of a smartphone chip alone spans many countries across continents, creating tremendous opportunities for companies, consumers, and investors. With semiconductors increasingly becoming the backbone of an artificial intelligence (AI) race few are prepared for, understanding this sector is key to unlocking where the next wave of technology competition is heading.
Real assets and the infrastructure behind AI
Artificial intelligence (AI) is often positioned as a story of models and applications, but its growth depends heavily on something far more tangible. Real assets such as data centres, power grids, and raw materials form the physical that supports AI development. As structural forces reshape the investment landscape, real assets are emerging as an enabler of the AI buildout.
AI innovation: Asia helps build many of the world’s technologies behind it
When electricity first arrived, the world built the necessary infrastructure – power plants, transmission lines – before the real transformation could take hold. A similar process is happening with artificial intelligence (AI). Today's massive investment in chips, data centres, and power grids is laying the foundation for a potential expansion in AI application that could take years to develop. In our view, the discussion is increasingly shifting from whether AI adoption will continue to how the enabling infrastructure is being built. Asia appears to be playing an important role in that development.
The engine behind AI: Semiconductors are fuelling the next era of technology
Semiconductors belong to one of the most specialised yet globally integrated industry chains. From design, equipment, and materials to manufacturing and commercialisation, the production of a smartphone chip alone spans many countries across continents, creating tremendous opportunities for companies, consumers, and investors. With semiconductors increasingly becoming the backbone of an artificial intelligence (AI) race few are prepared for, understanding this sector is key to unlocking where the next wave of technology competition is heading.