Wall Street sticks with AI playbook after historic technology unwind
Wall Street investors are showing limited appetite for abandoning the artificial intelligence investment theme despite a sharp technology sell-off that has triggered one of the largest momentum unwinds in approximately four decades. According to the FT, JPMorgan strategists led by Dubravko Lakos-Bujas have identified increasing signs of investor capitulation following the sharp reversal in…
Amid a significant technology sell-off, Wall Street investors appear hesitant to abandon their artificial intelligence investment strategy. Despite the technology sector experiencing one of the largest momentum reversals in nearly four decades, JPMorgan strategists remain cautious about any potential capitulation among investors.
Deleveraging indicators have reached levels reminiscent of the market turmoil surrounding the Trump administration's tariff announcements, and investor sentiment has shifted from bullish in June to bearish. The impact of the correction has been particularly pronounced in the technology sector, as investors reassess the valuations of companies heavily invested in AI infrastructure.
Goldman Sachs data revealed that hedge funds finished the week as net buyers, although much of the activity was seen as a covering of broader market positions rather than a decisive return to individual technology stocks. The broader market has also shown signs of weakness, with the S&P 500 recording its largest weekly decline since April 2025.
JPMorgan strategist Dubravko Lakos-Bujas argues that the recent decline represents an intra-cycle adjustment rather than a sign that the AI investment cycle has ended. For hedge fund managers, the correction presents both risks and opportunities. Those who reduced their technology exposure ahead of the sell-off may have more flexibility to rebuild their positions, while those with concentrated exposure must navigate continued volatility and uncertainty over valuations.
Written by urgent.news from Hedgeweek's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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