As the quarterly earnings release season begins, investors might even see a correction as stock prices hit all-time highs.
Morgan Stanley’s chief U.S. equity strategist warned that the present third quarter might be “chilling” for investors as a consequence of uncertainty surrounding a variety of different issues, including corporate earnings, the final result of the November election, future tariffs and central bank policy.
“Right now, valuations look very, very unspectacular to me,” Mike Wilson told Bloomberg TV on Monday. “I think the probability of a 10% correction sometime between now and the election is very high.”
The Morgan Stanley strategist was quick to indicate that, aside from just a few dozen US corporations, the profits of average firms wouldn’t increase, and this may not occur until the Federal Reserve begins to ease its monetary policy.
Investors are hoping to get some helpful guidance on the direction of monetary policy when Chairman Jay Powell testifies before Congress today and tomorrow. Currently, the market is pricing in a 80% likelihood of rate of interest cut in September as labor market data is weaker.
“We need to lower interest rates, that’s the most important thing,” Wilson told Bloomberg Television. “Or we need some kind of positive shock from the outside on the growth side that doesn’t lead to an inflation problem. Tell me where that shock comes from.”
AI chip supplier Taiwan sees sharp rise in exports to the US
This is where artificial intelligence and particularly generative AI comes into play.
Whether Apple, Meta or Amazon, many firms are setting latest records because they consider that artificial intelligence will fundamentally change corporate profits and increase productivity without driving up prices.
The query is whether or not this will likely be confirmed by the earnings figures when the primary banks announce their results later this week. The big Wall Street banks will likely be the primary to achieve this on Friday.
“I expect that in the second quarter, many companies will give us concrete examples of how AI increases productivity and reduces costs,” said Yardeni Research President Ed Yardeni. told CNBC on Monday.
The latest export data from Taiwan, a serious supplier of cutting-edge electronics needed for AI-powered data centers, shows that goods shipped to the U.S. rose 74% in June in comparison with the identical period last yr, because of firms like Taiwan Semiconductor Manufacturing Company.
On Monday, even the country’s industry-leading foundry, which produces AI chips on behalf of Nvidia, joined the trouble. but shortthe elite club of megacap stocks valued at a trillion dollars or more.
Given this momentum, Yardeni believes there’s little reason for investors to not push the market higher.
“The market has simply continued to climb over the past few weeks, reaching new record highs despite disappointing economic indicators,” he said.
“I think investors have come to the conclusion that we shouldn’t worry too much about an economic slowdown or even a recession, because if that becomes even a significant risk, the Fed will cut rates pretty quickly.”
AI hallucinations could wipe out among the predicted productivity gains
But AI will not be the panacea that everybody expects.
James Ferguson, founding partner of the British economic research firm MacroStrategy Partnership, argues that investors are failing to bear in mind the tendency of generative AI, hallucinatei.e. they spit out fictitious data and data that dilutes productivity gains.
Companies that do not take the time to double-check their work can find themselves in an identical predicament to the law firm Levidow, Levidow & Oberman.
The company made headlines across the country in all of the improper ways after it filed a legal argument citing precedents that ChatGPT had fabricated.
“Fake it till you make it may work in Silicon Valley, but for the rest of us, I think ‘once burned, once avoided’ might be more appropriate,” he said. told In a recent Bloomberg podcast, he warned that the hype around AI has created a concentrated market bubble harking back to the dot-com era. “If AI is not trustworthy, […] then AI is – in my opinion – practically useless.”
