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AI Investing Is Expanding Beyond Big Tech: Where Could the Next Opportunities Be?
Artificial intelligence investing is entering a more selective phase. Instead of focusing only on companies that build AI models, chips or software, wealthy investors are increasingly looking at businesses that can use AI to improve productivity, reduce costs or create new revenue streams.
That shift was highlighted by Annabelle Bryde, Head of Private Bank International at Barclays Private Bank, who said high-net-worth investors are taking a more practical, application-focused approach to the technology theme.
The AI Investment Story Is Getting Broader
The first phase of the AI investment boom was dominated by companies directly involved in the technology. Semiconductor manufacturers, cloud platforms and AI developers attracted enormous investor attention as spending on computing infrastructure surged.
The next phase could be broader. Companies in industries such as financial services, healthcare, manufacturing, logistics, energy and retail may benefit if AI helps them automate processes, improve decision-making and increase employee productivity.
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This creates a different way of looking at AI stocks. Instead of asking only “Who makes AI?”, investors can also ask “Who makes money because AI is being adopted?”
Why HNIs May Prefer AI Beneficiaries
For wealthy investors, the objective is not necessarily to find the most obvious AI stock. Businesses already trading at very high valuations can carry significant expectations about future growth.
Companies that use AI as part of their existing business model may offer a different opportunity. If AI allows a company to reduce operating costs, serve more customers without proportionally increasing expenses or improve margins, the financial benefit could appear directly in earnings.
This approach also expands the investment universe beyond technology. A bank using AI for fraud detection and customer service, a manufacturer using AI for predictive maintenance, or a logistics company using AI to optimise routes could all benefit without being AI companies themselves.
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AI Is Becoming an Earnings Question
The investment debate is increasingly moving from AI potential to AI profitability.
A recent Bank of America Asia Fund Manager Survey showed that 64% of Asian fund managers want to see profits from AI before increasing their technology exposure. That suggests professional investors are becoming more focused on whether the enormous investment in AI infrastructure can ultimately translate into sustainable earnings.
This could be an important development for markets. Companies that successfully convert AI investment into higher revenue, lower costs or better margins may receive greater investor attention, while businesses unable to demonstrate measurable benefits could face pressure.
India Could Have Its Own AI Beneficiaries
For Indian investors, the AI opportunity does not necessarily require investing only in US technology giants.
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Indian IT services companies, financial institutions, industrial businesses, data-centre operators, power companies and digital platforms could benefit from increasing AI adoption. The impact will differ significantly from company to company, however.
For example, an IT company may generate new AI-related service revenue but could simultaneously face pressure if clients use AI to reduce traditional outsourcing requirements. Similarly, a manufacturing company could benefit from automation, but investors need to determine whether those efficiency gains are large enough to materially improve profitability.
The key is therefore measurable economic benefit rather than simply using the word AI in a company’s presentation.
The Risk of Chasing the AI Theme
AI remains a powerful long-term technology trend, but investors should be careful about paying excessive valuations for companies associated with it.
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The market can price future growth years before it appears in financial statements. If expectations become too high, even strong companies can experience sharp corrections when earnings fail to match forecasts.
Investors should therefore examine revenue growth, margins, free cash flow, return on capital and valuation rather than treating AI exposure itself as an investment thesis.
What This Means for Investors
The AI investment opportunity may gradually move from a narrow group of technology companies to a much wider group of businesses that successfully adopt the technology.
For investors, this means looking beyond the obvious AI names and identifying companies where AI adoption can produce a measurable improvement in business performance.
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The next winners of the AI cycle may not necessarily be the companies building the technology. Some could be the companies that use it better than their competitors.
This article is for educational purposes only and does not constitute investment advice.
