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Where next for equity valuations? The AI effect
Beth Beckett
Economist

Distinct valuation ‘eras’ can be seen in stock markets across the decades, typically driven by broader macro trends. These can have a significant influence on individual company valuations, even when bottom-up analysis points to different conclusions.


Valuation eras in the US over time

S&P 500 Price/Earnings Ratio (Using trailing four-quarter operating earnings per share)

Valuation eras in the US over time - chart

Past results are not a guarantee of future results. Investors cannot invest directly in an index.
Data to 31 August 2023. Source: Macrobond, Capital Group

How valuations evolve over the coming years will ultimately depend on where growth and interest rates settle. To explore this, we have looked at four potential scenarios based on two questions currently dominating markets: how disruptive Artificial Intelligence might prove to be and whether inflation returns to central banks’ 2% target on a sustained basis.


With AI, we have considered whether the disruption it brings could be benign or destructive. Benign implies that new technologies are easily absorbed into existing structures of capital and labour, creating new job opportunities and boosting output. Destructive suggests tech replaces labour and capital faster than they can be redeployed elsewhere, generating unemployment.


This is scenario planning, not prediction. Still, given the scale and pace of innovation in the AI space, and enormous range of its potential impact, work of this kind will be critical as we look to shape our portfolios for the future.



Beth Beckett is an economist at Capital Group. She has three years of industry experience and has been with Capital Group for one year. Prior to joining Capital, Beth worked as an economist covering the UK at Capital Economics. She holds a master's degree in economic history from the London School of Economics and Political Science and a bachelor's degree in economics from Durham University. Beth is based in London.


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