- BofA’s Asia-Pacific research head Chris Oberoi says investors in Asia are shifting focus from AI exposure to proof of AI-driven revenue and earnings.
- Oberoi frames the key question as whether AI adds to productivity and is being monetised, answering “absolutely yes.”
- The comments signal a more mature phase for the AI trade, where demonstrated monetisation matters more than thematic positioning.
- The original report also referenced a separate item involving President Xi Jinping and the US, which is not detailed in the available excerpt.
From Exposure to Earnings
Investors in Asia are increasingly demanding clearer evidence that artificial intelligence can translate into revenue and earnings, rather than simply seeking exposure to the technology, according to Chris Oberoi, head of Asia-Pacific research at Bank of America Global Research. His remarks, reported in the original article, describe a market that has moved past the early phase of the AI cycle, when buying almost any company with a credible link to the technology was enough to attract capital.
“The issue increasingly is: does it add to productivity, and is it being monetised,” Oberoi said. “And the answer is, ‘absolutely yes’.” That framing places the burden of proof squarely on corporate managements. It is no longer sufficient for a company to announce an AI initiative, a partnership, or a capital expenditure programme. Investors want to see the effect flow through to the income statement — in higher revenue, better margins, or measurable cost savings that lift earnings per share.
Why the Bar Has Risen
The shift reflects the natural progression of a technology theme that has already delivered substantial gains. Once valuations embed expectations of future AI profits, the market’s tolerance for vague promises narrows. Companies that can point to concrete monetisation — subscription revenue from AI features, pricing power from productivity tools, or efficiency gains in their own operations — are better positioned to justify their multiples than those still in the investment phase.
This dynamic is visible across Asia’s technology landscape. Semiconductor and hardware suppliers have benefited from the build-out of AI infrastructure, while platform and software companies face harder questions about how AI features convert into paying customers. For investors, the distinction matters because the two groups carry very different earnings trajectories: infrastructure spending is visible in order books today, whereas application-layer monetisation often arrives later and with less certainty.
What to Watch
For the AI trade to keep broadening, evidence of monetisation will need to appear in quarterly results rather than in strategy presentations. Management commentary on AI-attributable revenue, disclosure of AI-related margins, and any signs of pricing power will be the practical tests. Where companies decline to quantify AI’s contribution, investors are likely to apply a discount until the numbers arrive.
Oberoi’s assessment that AI is indeed adding to productivity and being monetised is a constructive signal, but it is a general one. The investment case now rests on identifying which specific businesses can demonstrate that outcome in reported financials. That is a more demanding exercise than gaining exposure to the theme, and it is the exercise Asian investors appear increasingly willing to undertake.
The original report also referenced a separate development involving President Xi Jinping and the United States, but the available excerpt does not provide details, so its substance and market implications cannot be assessed here. Investors should treat that item as unverified pending fuller reporting.
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