What's the read on industrials and automation, and how is positioning shifting?

A significant strategic realignment is underway in the industrials sector, characterized by a move away from the diversified conglomerate model toward specialized, pure-play entities [3, 10]. Honeywell's split into three focused companies—automation, aerospace, and chemicals—exemplifies this de-conglomeration trend, which is often influenced by activist investors and aims to unlock shareholder value by creating more agile firms for a targeted investor base [1, 12, 24]. This structural shift is accompanied by a pivot in corporate focus from margin expansion to aggressive top-line revenue growth [5, 11]. Having achieved high profit margins, with Honeywell reaching **23% in 2023**, leadership now sees greater opportunity in capturing market share and scaling new technologies rather than pursuing incremental efficiency gains [11, 12]. This repositioning reflects a belief that the current business environment, shaped by geopolitical and supply chain realities, favors a combination of scale and specialization over the broad diversification that thrived during the peak globalization era [7, 10, 20].

The primary catalyst for this strategic and operational shift is the application of artificial intelligence to solve a pervasive skilled labor shortage [1, 6, 22]. The core strategy involves moving beyond simple process automation to intelligent autonomy by adding an AI-powered "intelligence layer" on top of existing industrial systems [4, 5, 13]. This is not a speculative, long-term technology play but a practical solution to immediate operational challenges, enabling companies to bridge the gap between technology providers and industrial clients with purpose-built applications that enhance productivity and profitability [2, 4]. The adoption rate for this industrial AI is expected to be exceptionally rapid, with some executives predicting a widespread implementation timeline of **18-30 months**, not decades, precisely because it addresses a known and critical business need [9, 16, 18]. This transition is creating a massive addressable market, with the new pure-play Honeywell Automation company alone targeting a $200 billion opportunity .

These corporate shifts are occurring within a favorable macro environment defined by a global CapEx supercycle driven by AI infrastructure, reindustrialization, and the energy transition . Investor positioning appears to be evolving; while broad positioning in mega-cap AI themes may have decreased in 2024 , capital is flowing into industrial firms whose order books are increasingly tied to AI spending, causing some to be **trading like semiconductor stocks** . This suggests a broadening of the AI investment thesis beyond pure technology companies into sectors like industrials and utilities, which are seen as having reasonable valuations [15, 30]. Over the long term, the widespread adoption of AI is expected to act as a disinflationary force, lowering the cost of goods and services [26, 27] and driving a convergence in productivity, profit margins, and valuations between early tech adopters and the rest of the market . This realignment is further reinforced by geopolitical pressures that favor supply chain resilience and "local for local" manufacturing footprints, creating durable demand for domestic industrial automation [7, 17, 20].