KUALA LUMPUR: Marc Faber, the Swiss-born economist, investment strategist and publisher of The Gloom, Boom & Doom Report, has long been known for his contrarian views and warnings about excessive financial market valuations. Often referred to as “Dr Doom”, Faber is particularly sceptical of investment manias, excessive optimism and the tendency of investors to extrapolate current growth trends indefinitely into the future.
His views on the current technology and artificial intelligence (AI) boom are consistent with his broader investment philosophy: a revolutionary technology does not necessarily translate into attractive investment returns for shareholders. While he acknowledges the significance of AI, he believes that investors may be underestimating the financial risks associated with the enormous enthusiasm and capital expenditure surrounding the industry.
AI is real, but the investment enthusiasm may be excessive
Faber does not necessarily dispute the transformative potential of artificial intelligence. AI has the capacity to change how businesses operate, improve productivity, reduce costs and create entirely new industries.
However, he distinguishes between the commercial potential of a technology and the investment attractiveness of companies associated with it.
History provides numerous examples of technologies that transformed the world but failed to generate satisfactory returns for many investors who financed their development.
The development of railways, automobiles, telecommunications and the internet created enormous economic value. Yet many companies operating in these industries eventually failed or delivered disappointing returns to shareholders.
Faber believes that AI could follow a similar pattern. The technology may become indispensable, but many companies investing heavily in its development may never generate sufficient profits to justify their current valuations.
The danger of excessive capital expenditure
One of Faber’s major concerns is the extraordinary amount of capital being committed to AI infrastructure.
Technology companies are investing billions of dollars in semiconductor chips, data centres, cloud computing facilities and other supporting infrastructure. These investments are based on expectations of enormous future demand and profitability.
However, there is no guarantee that the returns will justify the expenditure.
Faber draws comparisons with previous investment manias, when entire industries expanded rapidly, attracting enormous amounts of capital. Eventually, competition, excess capacity and disappointing returns resulted in substantial financial losses.
In a June 2026 interview, he highlighted that although the AI boom is real, history suggests that only a small proportion of companies participating in such investment booms ultimately become major winners.
Excessive valuations and unrealistic earnings expectations
Faber is particularly concerned about the valuations of companies associated with artificial intelligence and semiconductors.
In his view, investors have become excessively optimistic about future earnings growth. Stock prices increasingly reflect expectations of exceptional profitability for many years ahead.
The danger arises when investors pay prices that already incorporate highly optimistic assumptions.
If actual earnings fail to meet expectations, share prices could decline dramatically, even if the underlying businesses remain fundamentally sound.
In a June 2026 interview, Faber specifically identified companies such as Nvidia and other major technology businesses as carrying significant valuation risks. He warned that popular technology stocks could experience substantial declines when market sentiment eventually changes.
Similarities with the dot-com bubble
Faber’s concerns are influenced by his experience during previous market cycles, particularly the technology boom of 1999 and 2000.
During the dot-com bubble, investors were captivated by the internet’s potential. Companies with attractive technology-related business models attracted enormous valuations, sometimes despite having little revenue or no meaningful profits.
When confidence collapsed, many companies disappeared and investors suffered substantial losses.
Faber sees similarities between that period and today’s AI enthusiasm. Investors are once again prepared to pay premium prices based on expectations of future technological dominance.
However, there is an important lesson: identifying a promising industry is not the same as identifying a profitable investment.
Even if AI becomes considerably more important over the next decade, investors purchasing shares at excessive valuations may still lose money.
Not every participant will become a winner
Perhaps one of Faber’s most important observations is that investment booms generally produce relatively few winners and numerous losers.
The AI industry may eventually be dominated by a handful of highly successful companies. However, many businesses investing heavily in infrastructure, research and development may struggle to achieve adequate returns.
Competition could erode profit margins, technological developments could make existing infrastructure obsolete, and customers may be unwilling to pay enough for AI services to justify the enormous investments.
Investors should therefore avoid assuming that every company associated with AI will benefit equally.
Implications for investors
Faber’s investment philosophy suggests that investors should exercise considerable caution rather than blindly follow market enthusiasm.
In his October 2026 interview with Business Standard, he expressed an even more negative assessment, suggesting that the AI bubble had begun to burst and that weakness in semiconductor and cloud-computing stocks could continue. He favoured reducing equity exposure and maintaining greater cash holdings.
His broader message is that investors should focus on valuations, earnings quality, cash flows and financial fundamentals rather than exciting narratives.
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