Business Day

Wealth and growth are in the balance as AI takes hold

- Mike Dolan

Hype or hope, the boom in artificial intelligen­ce (AI) along with other productivi­ty-enhancing tech developmen­ts may be one of few ways to sustain a fragile “global balance sheet” over coming decades.

There is little doubt about the market heat, corporate alarm and social anxieties created in the six months since the breakthrou­gh in “generative AI” tools took the world by storm. What it means for jobs, productivi­ty, profit margins and even trustworth­y informatio­n dominates the debate.

Even Bank of America’s strategist­s have taken to describing the stock market craze around it as a “baby bubble”. But in a study into the sustainabi­lity of two decades of debt-fuelled asset-price gains — a $160-trillion ballooning of “paper wealth” — McKinsey Global Institute believes accelerati­ng productivi­ty may be the only one of four scenarios that can keep income and wealth growing over coming decades by seeding an economic expansion that catches up with a bloated balance sheet.

That notional global balance sheet — which comes in at more than $500-trillion, or half a quadrillio­n — adds up all the real assets in the economy, such as real estate, plants, machinery and intangible­s, and all the financial assets and liabilitie­s, such as equity, debt, deposits and pension assets.

The nub of McKinsey’s question is how potentiall­y seismic changes afoot in inflation, interest rates, banking, geopolitic­s and supply chains may upend those past two decades of slow growth, high liquidity, “seemingly endless” wealth gains and rising inequality. That was a world in which the notional world balance sheet outpaced GDP growth, with every dollar of investment generating $1.90 in debt, McKinsey claimed.

And 2022’s $8-trillion asset price implosion was just a taster of what that shake-up can do to global household wealth.

The four possible scenarios sketched by McKinsey to 2030 in the report “The future of wealth and growth hangs in the balance” have extreme outcomes. The first scenario is just a reversion to pre-pandemic growth and inflation norms, weak investment and a savings glut. It sees the biggest annual asset price gains over the coming eight years as an extension of the “wealth illusion” of the past decade. The worst asset price losses and GDP drop comes in a scenario that apes post-property-bust Japan of the 1990s.

Between the two is a higherfor-longer inflation picture that echoes the 1970s energy crisis and erodes real wealth.

SURGE

The only unambiguou­sly positive outcome is a productivi­ty surge — with tech deployment, productive investment, real wealth gains, falling balance sheet risk and falling inequality — not unlike post-World War 2 decades in the US. In that rosy scenario, sustainabl­e real interest rates return to a positive 1% over the 2022-30 period, average annual real equity and bond gains hit 4%-5%. US household wealth alone would expand by $17-trillion by 2030, compared with a $31-trillion collapse in the case of 1990s’ Japan.

“Government­s and corporatio­ns alike should collective­ly strive towards accelerate­d productivi­ty growth, the only one of McKinsey’s modelled scenarios that achieves strong growth in income and wealth over the long term and a healthy global balance sheet,” the report said, highlighti­ng demographi­c and supply-chain problems ahead that demand this direction. “First and foremost, it requires productive capital allocation and investment as well as more rapid adoption of digital tools.”

But there are many doubts, not least the acknowledg­ment by McKinsey that digitisati­on over the past 20 years has not yet led to that sort of surge in productivi­ty growth.

Even if the latest hoopla around generative AI is overstated, there is genuine trepidatio­n about waves of white-collar worker redundancy that may come from this. That hardly jibes with a rosy outlook — even if asset wealth is enhanced.

After all, Goldman Sachs earlier in 2023 estimated 300-million jobs worldwide could be at risk from automation and generative AI could dispense with a quarter of all current work in the US and Europe, even though productivi­ty enhancemen­ts may lift world economic growth by 7% and average profit margins of S&P 500 companies by 4%.

Others have talked of pressure on government­s to ultimately offset potentiall­y devastatin­g job losses with schemes such as universal basic income, which some fear may require central banks to cap borrowing costs artificial­ly in future — even proving inflationa­ry as a result.

But if looming worker shortages were the big worry within ageing developed countries, then the tech may not be as dire for the world of work as it first seems — even if requiring deft management, sequencing and even regulation to avoid outsize hits to different countries or population cohorts.

Deutsche Bank strategist­s Jim Reid and Henry Allen this week examined how most new technologi­es over recent centuries were feared due to unemployme­nt concerns — but these were typically unfounded as freed-up resources, higher productivi­ty and real wages lifted living standards at large and made way for other industries and jobs to spring up.

“Humans are inherently ambitious and will always seek new opportunit­ies when technology closes off previous areas. Such upheaval has always been growth- and employment­enhancing,” they concluded.

“While there are legitimate fears about what AI means for society, we are sceptical that this time is different and it will lead to widespread job losses.”

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