Torsten Slok, chief economist at Apollo, has raised concerns that AI's ability to boost profit margins outside the technology sector may fall far short of market expectations. Slok argues that AI company valuations are largely based on the promise of rising margins at S&P 500 companies excluding the 'magnificent seven.' However, in regulated industries such as healthcare, banking, energy, pharma, and manufacturing, the benefits of AI adoption may be delayed due to process overhauls and privacy requirements. Markets are currently priced for rapid earnings growth, but actual cash flows could lag significantly if productivity gains take longer than anticipated. Slok warned that if the productivity boost from AI takes five years instead of five months, many AI stocks could face a painful revaluation. Source: thedecoder
Another challenge is the difficulty in measuring productivity gains in knowledge-based work. Even when employees become more efficient, the improvements are hard to quantify without clear metrics. This makes it difficult for management to act on the changes, and the productivity gains often do not appear on the balance sheet. Instead, they are integrated into daily operations, making it hard to track their impact. Slok emphasized that without measurable outcomes, the true value of AI adoption remains unclear. Source: thedecoder
Slok's analysis highlights the gap between market expectations and the real-world application of AI in non-tech sectors. He pointed out that the current market scenario assumes a quick return on AI investments, but the actual timeline for profitability may be much longer. This discrepancy could lead to a reassessment of AI stocks if the expected gains do not materialize as quickly as anticipated. Source: thedecoder
