HomeNewsBusinessMarketsPPFAS' Rajeev Thakkar backs 'Mag 7' amid AI-frenzy fears, calls China’s ‘cheap’ stocks a trap

PPFAS' Rajeev Thakkar backs 'Mag 7' amid AI-frenzy fears, calls China’s ‘cheap’ stocks a trap

The value investor says US tech giants’ cash flows justify current multiples, while China’s governance overhangs and foreign ownership limits make developed markets the safer global bet.

November 24, 2025 / 15:50 IST
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On China, Thakkar said the risks far outweigh the low valuations. “You would rather be safe than sorry,” he remarked, arguing that US- or Europe-domiciled multinationals offer global exposure without the structural uncertainty and governance risks embedded in China. He highlighted restrictions on foreign ownership in key Chinese sectors and warned that ADR structures leave investors exposed.
On China, Thakkar said the risks far outweigh the low valuations. “You would rather be safe than sorry,” he remarked, arguing that US- or Europe-domiciled multinationals offer global exposure without the structural uncertainty and governance risks embedded in China. He highlighted restrictions on foreign ownership in key Chinese sectors and warned that ADR structures leave investors exposed.

Prominent value investor and PPFAS Mutual Fund CIO Rajeev Thakkar defended the valuations of America’s “Magnificent Seven” stocks, drawing a sharp line between their cash-spinning business models and the cash-burn dynamics of newer AI firms — and said the US remains a far safer investment destination than cheaper Chinese equities.

Speaking at PPFAS’ annual shareholder meeting in Mumbai on Nov. 22, Thakkar said the big US platforms such as Alphabet, Meta, Amazon and Microsoft “generate a huge amount of cash flow” and shouldn’t be compared with high-burn AI ventures or cyclical chipmakers. “These are businesses which earn a huge amount of cash flow,” he said, contrasting them with companies like OpenAI, which he described as “burning cash because their revenue is far short of the expenditure.”

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He added that even semiconductor leaders face more volatility. “NVIDIA is dependent on the chip cycle… margins can break,” he said, noting that hyperscalers are already developing their own AI chips, which could dent NVIDIA’s demand over time.

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