Jefferies latest research report: The implementation of the HALO framework in the transportation sector—In the AI era, the real “moat” is not code, but railways

Hello everyone, this is You Dou.

On March 2, 2026, Jefferies released the Transportation & Logistics industry report:

“Physical Networks at the Heart of the HALO Trade; Raising PTs Across Transports”

The core viewpoints of the report are clear:

In an environment where the risks of AI substitution are increasingly magnified, transportation assets possessing irreplicable physical networks are becoming typical representatives of the HALO framework (Heavy Assets, Low Obsolescence).

Jefferies emphasizes that while AI can optimize efficiency, it cannot digitize physical infrastructure. Long-term, capital-intensive assets such as rail networks, port systems, and airline fleets are being repriced due to their scarcity.

In the current market context of widespread discussions on the logic of AI disruption, this perspective is structurally meaningful.

I. Distinguishing ‘Automatable Tasks’ from ‘Irreplicable Assets’

The first main thread of the report is to distinguish between tasks and assets.

AI can optimize:

Routing efficiency

Pricing models

Asset utilization rate

But it cannot replicate:

Railway right-of-way

Terminal network density

Routes and fleet systems

Large-scale operational data tied to physical networks

Jefferies points out that the core value of railway companies such as UNP, NSC, CSX, CNI, and CPKC lies in the networks themselves.

These assets have three characteristics:

Extremely long construction cycles

Very high regulatory thresholds

Almost impossible to duplicate construction

AI enhances efficiency but does not weaken network barriers.

Amid rising "replacement anxiety," the scarcity premium of such assets is instead reinforced.

II. Fundamental Improvement: Simultaneous Supply Contraction and Demand Recovery

The second logic comes from industry fundamentals.

Jefferies notes:

Capacity exit is accelerating

Load-to-truck ratio is rebounding

Spot rates outperform seasonality

ISM Manufacturing PMI above 50 for the second consecutive month in February 2026

After inventory destocking, manufacturing activity is marginally stable.

Historical experience shows:

New orders rebound → Lagged transmission to freight volume → Improved pricing power

Against the backdrop of supply constraints, marginal demand uptick means improved earnings visibility.

The logic of the transportation sector is shifting from “cyclical pressure” to “profit recovery.”

III. Target Price Upgrades: Valuation Anchors Shift Upward

Based on the above judgments, Jefferies raises the target price for several companies:

UNP: $300 (was $285)

NSC: $350 (was $300)

CSX: $50 (was $42)

CNI: $130 (was $115)

CP: $105 (was $85)

Target prices for companies such as XPO, UPS, and FedEx are also raised.

The logic framework is clear:

Capacity tightness improves price structure

Increased stability of cash flow

AI strengthens the perceived scarcity of physical network assets

The focus of the valuation system is tilting towards "predictability of cash flow."

My Understanding:

The value of this report is not in the specific target prices.

What is truly noteworthy is the application of the HALO framework in real sectors.

What the market has been discussing over the past two years is whether AI would compress the profit margins of traditional industries.

But the answer Jefferies gives is:

When substitutability rises, the premium for irreplaceable assets also rises.

If placed in a broader asset allocation logic:

The premium of software comes from growth imagination.
The premium of heavy assets comes from irreplicability.

When the market shifts from a “growth narrative” to “cash flow certainty,”
the valuation structure naturally undergoes change.

The transportation sector is just one sample.

What is truly being repriced is the certainty of “low obsolescence risk assets.”