A tax policy allowing for 100% accelerated depreciation on capital equipment like planes, tractors, and generators is creating super-hot markets for these assets. This provision is a significant driver of business investment and infrastructure build-out, contributing to higher GDP growth.

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The outlook for 2026 is significantly more optimistic than 2025, primarily due to fiscal policy. Deficit-financed tax cuts are expected to add nearly half a percentage point to GDP growth. This stimulus, not AI, is seen as the main force lifting the economy from below-potential to at-potential growth.

While AI is often viewed abstractly through software and models, its most significant current contribution to GDP growth is physical. The boom in data center construction—involving steel, power infrastructure, and labor—is a tangible economic driver that is often underestimated.

While the industry standard is a six-year depreciation for data center hardware, analyst Dylan Patel warns this is risky for GPUs. Rapid annual performance gains from new models could render older chips economically useless long before they physically fail.

The tangible economic effect of the AI boom is currently concentrated in physical capital investment, such as data centers and software, rather than widespread changes in labor productivity or employment. A potential market correction would thus directly threaten this investment-led growth.

Hyperscalers are extending depreciation schedules for AI hardware. While this may look like "cooking the books" to inflate earnings, it's justified by the reality that even 7-8 year old TPUs and GPUs are still running at 100% utilization for less complex AI tasks, making them valuable for longer and validating the accounting change.

The useful life of an AI chip isn't a fixed period. It ends only when a new generation offers such a significant performance and efficiency boost that it becomes more economical to replace fully paid-off, older hardware. Slower generational improvements mean longer depreciation cycles.

While the current AI phase is all about capital spending, a future catalyst for a downturn will emerge when the depreciation and amortization schedules for this hardware kick in. Unlike long-lasting infrastructure like railroads, short-term tech assets will create a significant financial drag in a few years.

Instead of taking profit and paying taxes, a business can reinvest that capital into a growth driver, like hiring. This investment reduces taxable income while dramatically increasing the company's profit potential, leading to a much larger, tax-efficient gain in enterprise value.

According to the Kalecki-Levy equation, gross investment spending immediately becomes revenue for another company. Unlike consumption-driven revenue which has immediate wage costs, the cost of investment (depreciation) is recognized slowly over time, creating a powerful, immediate boost to aggregate corporate profits.

An overlooked driver for enterprise robotics adoption is the "100% bonus appreciation" clause in US tax law. This allows a company to depreciate the entire cost of a qualifying asset, such as a robot, in the first year. This dramatically shortens the payback period and strengthens the business case for automation.