AI Disruption Fears: The Market's Expectation Gap on Two Investing Myths

The market's current reaction is a direct rejection of a long-held investing paradigm. For years, the playbook favored software companies, which were rewarded for their intangible assets and recurring revenue. The logic was clear: higher customer stickiness meant better earnings visibility and a premium valuation. In contrast, industrial firms with tangible assets like factories and equipment were seen as cyclical and unloved, their higher book value a liability, not an asset.

That story is unraveling. The AI scare trade, which fears new AI-powered players will reshape competitive landscapes, is turning the narrative around. Investors are now questioning the sustainability of recurring sales at legacy software firms. The evidence is in the rotation: while US stocks have selloffs, South Korea's blue-chip Kospi Index is up 44% this year. This isn't just a regional bounce; it's a massive market shift toward tangible, asset-backed businesses.

The semiconductor and hardware rally is the clearest signal. The two leading Korean chipmakers have warned that the supply crunch will continue through 2027, fueling a yearslong supercycle. In this environment, the physical infrastructure of these firms is now the prized asset. The market is valuing predictable demand and capital-intensive capacity over pure software growth narratives. This represents a fundamental guidance reset. It's a shift from valuing intangibles to valuing the physical assets that underpin the AI revolution itself.

The sell-off in software and services stocks is a direct challenge to the old paradigm. It's not just about tech; the fear is spreading across sectors with high fees and reliance on human labor, from insurance to wealth management to commercial real estate. The market is now pricing in a future where AI compresses information asymmetry and erodes the human capital moat. In this new setup, the companies with the highest book value-those with the factories, the equipment, the physical infrastructure to meet soaring demand-are the ones that matter. The market is saying the old rule, that intangibles are inherently more valuable, is no longer priced in.

The Demographic Deflation Myth: Robotics as a Growth Engine

The market's AI fears are creating a paradox in aging societies. The same technology feared for displacing human labor is also emerging as the solution for shrinking workforces. This tension is forming a new expectation gap around demographic trends, where robotics adoption could offset labor shortages and fuel productivity growth.

The sell-off is a direct reaction to this fear. Last week, AI disruption nerves spread from software to sectors like insurance, wealth management, and commercial real estate, all seen as vulnerable due to their reliance on human intermediaries high-fee, labor-intensive business models. The contagion reached logistics and trucking, with shares of firms like RXO dropping sharply after an AI optimization tool was demoed truck-broker RXO dropping 20%. The market is pricing in a future where AI compresses the value of human capital across white-collar industries.

Yet in countries like South Korea and China, facing severe demographic headwinds, this same automation is a potential growth engine. The market's current rotation toward tangible assets, like the semiconductor supercycle in Korea, hints at this reframing. The physical infrastructure and robotics that power AI are not just defensive plays; they are the tools to maintain economic output as populations age. The expectation gap here is between the short-term fear of job displacement and the long-term view that robotics can sustain productivity and growth.

This dynamic is already visible in the market's divergence. While US stocks selloff on AI disruption fears, South Korea's blue-chip index is up 44% this year, driven by its industrial and tech sectors blue-chip Kospi Index is up 44% this year. The market is beginning to price in a future where the solution to demographic deflation is not more labor, but more automation. The key question for investors is whether this shift is fully priced in, or if the next leg of the AI scare trade will test the resilience of these robotics-driven growth stories.

The Expectation Gap: Terminal Value vs. Reality

The sell-off in software stocks isn't a story about broken quarterly reports. It's a story about broken long-term assumptions. While near-term earnings expectations remain largely intact, the market's confidence in how to value these businesses years from now has evaporated. This is the core of the AI scare trade: a repricing of terminal value.

In a discounted cash flow model, terminal value-the estimated value of a company's cash flows beyond the explicit forecast period-can account for the majority of a stock's total valuation. When uncertainty about that "forever" value spikes, as it has with AI fears, the entire present-day price gets dragged down. Small changes in terminal value assumptions can drive far larger swings in today's share price than changes to near-term earnings projections. That's why the carnage has been so dramatic and seemingly unending, even as profits haven't collapsed.

This repricing is "unending" because the market is still grappling with an existential question. The fundamental growth assumptions for intangible-heavy software firms are in flux. The fear is that AI will compress margins, disrupt recurring revenue models, and fundamentally alter the economics of the industry. Until the market settles on a new, stable view of that long-term earnings power, terminal value will remain volatile, keeping stocks under pressure.

Yet, this creates a clear expectation gap. Company counter-arguments suggest the scare may be overdone, pointing to a potential divergence between the market's priced-in doom and underlying business reality. Figma's CEO pushed back hard, noting that its AI tool, Figma Make, saw weekly active users rise more than 70% quarter over quarter. That kind of explosive growth for an AI feature is a direct rebuttal to the narrative of inevitable disruption. It implies the tool is not a threat, but a powerful new growth engine.

The same dynamic is playing out in other sectors. Logistics giants like C.H. Robinson are arguing they are the disrupters, not the disrupted, and their shares have partially bounced back. Wall Street analysts are echoing this, calling the recent de-rating of AI-exposed sectors "somewhat overdone" and pointing to AI as a future tailwind for cybersecurity. This creates a potential "whisper number" divergence. While the broad market consensus is pricing in severe long-term damage, some companies and analysts see a path to integration and growth. The arbitrage opportunity lies in identifying which businesses have the strongest fundamentals to weather the terminal value storm.

Catalysts and What to Watch: The Path to a New Equilibrium

The market's current rejection of the book value and demographic deflation myths is a powerful but volatile signal. Whether this is a temporary scare or a permanent structural shift hinges on a few forward-looking catalysts. The key is to watch for capital allocation and adoption data that will either validate or undermine the new narrative.

First, monitor capital allocation. If companies across the software complex begin investing heavily in AI infrastructure-buying GPUs, building data centers, and scaling compute-the market's bet on hardware will be confirmed. This would be a direct validation of the terminal value shift, proving that the "yearslong supercycle" for semiconductors and hardware is real and durable. Conversely, if spending remains tight or is redirected to other areas, it would suggest the hardware rally is overdone and the fear-driven rotation is losing steam.

Second, watch robotics adoption data in aging economies. Strong, sustained growth in industrial automation in countries like South Korea and China would be the clearest challenge to the demographic deflation myth. It would show that robotics is not just a defensive hedge but a true growth engine, capable of offsetting labor shortages and boosting productivity. This would support the equity thesis for these markets and validate the market's current rotation toward tangible assets. Weak adoption, however, would confirm fears that AI's primary impact is displacement, not augmentation.

The biggest risk is that AI disruption fears become self-fulfilling. If the sell-off in software stocks forces a permanent reduction in growth expectations and capital expenditure across the entire sector, it could create a new, lower baseline for valuations. This would cement the market's new paradigm, making the old software premium a thing of the past. The expectation gap here is between the market's priced-in doom and the potential for companies to adapt and integrate AI as a growth tool, as seen with Figma's explosive user growth.

The path to a new equilibrium will be defined by these signals. The market is currently pricing in a high degree of uncertainty. The catalysts to watch will determine if that uncertainty resolves into a stable, new long-term view-or if the current scare trade simply sets a new, lower floor for a generation of software companies.