Investor sentiment toward Asian technology has flipped with unusual speed, according to a new Bank of America Corp. survey that places software and platform companies at the top of the region's most attractive artificial-intelligence trades — a ranking they held near the bottom only a month earlier.

The reversal, reported by Bloomberg Markets, captures a broader repositioning underway in global markets as fund managers rethink which parts of the AI supply chain still offer upside after a prolonged run in semiconductors and hardware. Alongside the survey, Bank of America has raised price targets on ten software stocks and identified sixteen knocked-down AI names it views as bargains, according to separate reports.

A Swift and Startling Rotation

Few sentiment shifts in recent memory have been as abrupt. At the start of the period, software and platform names were languishing near the bottom of BofA's regional preference list, weighed down by concerns that generative AI would cannibalize traditional subscription software models rather than enrich them. Investors fretted that AI-native challengers could undercut incumbent vendors on price, compress seat-based licensing, and force costly rewrites of legacy products.

That narrative has now been at least partially unwound. Software and platform stocks have "quickly gained favor with investors," BofA's survey found, vaulting to the top of the region's AI picks. The swing suggests that many investors now see software as the next leg of the AI trade — the layer where model capability is actually monetized through applications, agents, and enterprise workflows.

Software and platform stocks have gone from near the bottom of the rankings to the region's most attractive AI trade in the space of a single month, according to Bank of America's survey.

Why Software Fell — and Why It's Coming Back

The whipsaw reflects a market still struggling to price the second-order effects of AI. Through much of the past two years, the clearest winners were the builders of infrastructure: chipmakers, server manufacturers, and the cloud providers that rent out compute. Software companies, by contrast, faced a double bind. They had to spend heavily to embed AI features, while customers questioned whether those features justified higher prices.

The current rebound rests on a different thesis: that AI's cost curve will fall fast enough to make intelligent software ubiquitous, and that incumbents with distribution, data, and enterprise trust are better positioned to capture that value than startups building from scratch. Agentic tools — software that executes multi-step tasks on a user's behalf — are central to that bet, since they can expand what customers are willing to pay for rather than simply replacing existing seats.

Asia adds its own dynamic. The region is home to large platform businesses spanning e-commerce, payments, gaming, and cloud services, many of which trade at valuations well below their US peers. That discount has long been a source of frustration for investors; in a moment when global funds are hunting for AI exposure outside the most crowded trades, it becomes an argument for buying.

The Bargain Hunt

The survey data dovetails with two other BofA actions that frame the same thesis from different angles. The bank has raised price targets on ten software stocks, signaling upgraded earnings or multiple assumptions rather than a purely sentiment-driven call. Separately, it has pointed to sixteen AI-linked names that have been heavily sold off and now look inexpensive relative to their growth prospects.

The combination matters. A price-target increase typically implies analysts see fundamentals — revenue growth, margin trajectory, or free cash flow — supporting higher valuations. A bargain list, by contrast, is a valuation argument: these are companies the market has punished, and the question is whether the punishment overshot. When the same institution is doing both, it suggests a view that the sector's risk-reward has shifted, not merely that momentum has turned.

How Different Outlets Framed the Story

Coverage of the shift has varied in emphasis. Bloomberg Markets led with the survey itself, foregrounding the ranking change as a signal of investor positioning across Asia. The framing is macro: what fund managers say they prefer, and how quickly those preferences move.

Other coverage took a more bottom-up approach. One report focused on the sixteen discounted AI stocks BofA flagged, presenting the story as a value opportunity for investors willing to look past recent declines. Another centered on the ten software names receiving higher price targets, treating the news as a straightforward upgrade cycle. A fourth framed the development as a recovery narrative — software stocks "bouncing back from AI fears" — with the bank projecting further gains.

Read together, the accounts describe the same event from three altitudes: the sentiment survey at the top, the target revisions in the middle, and the individual stock picks at the bottom. The differences are less about disagreement than about which part of the chain each outlet considers the real story.

Risks and What to Watch

• Sentiment is not fundamentals. A one-month swing in a survey can reverse just as quickly. Positioning data often lag the price moves that cause them.
• The disruption question is unresolved. If AI-native competitors genuinely erode subscription economics, cheaper valuations will prove justified rather than generous.
• Execution risk on AI features. Monetizing agents requires pricing models, trust, and integration work that many vendors have yet to demonstrate at scale.
• Macro and rate sensitivity. Asian tech, particularly in growth-heavy markets, remains exposed to currency moves, US rate expectations, and shifts in global risk appetite.

For now, the survey suggests the market's center of gravity within AI is rotating — away from the pure infrastructure trade and toward the software and platforms that sit closer to the end customer. Whether that rotation proves durable or merely a tactical bounce will depend on whether the next several quarters of earnings validate the thesis that AI can lift software economics rather than undermine them.