Humans seem to love predictability. As a result we seem to choose the comfort of predictable outcomes rather than face the uncertainty of reality. We too often show this in the support we give to false economic prophets who espouse populist industrial policy, socialist central control, or perfection through technology. We could really use someone like the late Austrian School economist Ludwig Lachmann to remind us of the unpredictability of reality.
Lachmann spent his entire career attempting to explain economics with an uncompromising focus on radical uncertainty and the subjective meanings guiding human action. Lachmann’s influence surged in 1974 when he served as one of the three primary lecturers (alongside Israel Kirzner and Murray Rothbard) at the South Royalton conference, which helped to spark the modern American revival of Austrian economics.
At its core, Lachmann’s radical subjectivism argues that the economic future is not a stable, predictable landscape waiting to be measured, but an unwritten void shaped entirely by the highly unique, ever-shifting expectations, and creative imaginations of individual human minds. Because knowledge is decentralized, dynamic, and fundamentally incomplete, any centralized attempt to dictate or pre-engineer market outcomes is doomed to disrupt the delicate coordination of human plans. This insight deals a double blow to the prevailing economic trends of our time: it shatters both the top-down industrial planning of Donald Trump’s populist industrial policies and the sweeping social engineering of the Democratic Socialists’ state-directed resource allocation.
Lachmann rejected neoclassical “general equilibrium” models, asserting that because individual expectations are subjective and diverse, the market has no automatic tendency toward a perfect state of rest. Rather, it is an ongoing, dynamic process of trial, error, and coordination.
Lachmann focused on the subjective meaning individuals assign to their actions and argued that the market is more like a kaleidoscope: one sudden turn, and the entire pattern rearranges into something completely new and unexpected.
Lachmann would be extremely critical of the major developments we are presently dealing with in our economy.
Lachmann would have viewed the Trump administration’s aggressive industrial policy—characterized by sweeping tariff regimes, paired with targeted domestic manufacturing tax subsidies—with profound skepticism. To Lachmann, an economy was not a centralized machine that can be fine-tuned by technocrats to achieve a specific domestic outcome; it is a “kaleidic” web of subjective human plans.
By imposing massive tariff distortions on foundational inputs the administration’s trade policies fundamentally disrupt the delicate process of entrepreneurial planning. Lachmann would argue that forcing domestic producers to buy from politically-favored local suppliers does not create “growth” in an aggregate sense; rather, it forcefully shatters the existing structure of capital complementarity, rendering previous international supply chain investments obsolete and forcing a costly, artificial regrouping of resources.
Lachmann would have analyzed the unpredictability generated by the administration’s rapid, shifting policy maneuvers as a severe assault on the social institutions that market actors use as navigational landmarks. When the average US tariff rate swings wildly due to executive actions, subsequent Supreme Court invalidations, and immediate administrative pivots to new statutory authorities, the legal and economic landscape becomes illegible. From a Lachmannian perspective, when the institutional rules of the game change dozens of times in a short period, prices cease to function as reliable signals of genuine consumer desires. Instead, prices become distorted reflections of Washington’s bureaucratic whims, shifting entrepreneurial focus away from consumer satisfaction and toward defensive political maneuvering.
Ultimately, Lachmann would dismiss the underlying neoclassically-oriented or protectionist data models used to justify these interventions as dangerous technocratic illusions. Whether policy analysts calculate a minor aggregate impact on GDP or try to balance tariff revenues against household losses, Lachmann would point out that these metrics totally miss the subjective, heterogeneous nature of capital and expectations.
Analytical deep dives into the manufacturing sector, such as published by Equitable Growth, demonstrate that broad tariffs create vastly unequal, highly-volatile cost penalties across specific subsectors like machinery, fabricated metals, and construction. Lachmann would view this uneven friction as proof that central planners cannot possibly map out or foresee the complex, localized web of human interpretations and production processes. Top-down attempts to force an economy into a politically-desired mold inevitably breed structural discoordination, replacing organic market discovery with pervasive, state-induced uncertainty.
Regarding the political and market obsession with Artificial Intelligence (AI), Lachmann would view the current AI investment boom as a textbook example of a market driven by divergent, subjective expectations under radical uncertainty. In his eyes, the massive surge in tech capital expenditures is not a calculated response to a known future, but a speculative leap into an imagined one. The rush to build out massive data centers and power infrastructure represents entrepreneurs acting on highly divergent interpretations of a technology whose long-term economic utility remains entirely unwritten.
Many companies are finding that satisfying returns are taking years longer than expected because the technology must be deeply integrated into messy, existing business operations. Lachmann would argue that AI is not a homogenous blob of “productivity” you can just plug into a balance sheet; its value is entirely dependent on its complementarity with human capital, legacy data systems, and unique corporate cultures. He would claim that a significant portion of current expenditures will inevitably result in malinvestment, forcing a painful and costly “capital regrouping” phase as businesses scramble to repurpose failed or underutilized AI assets.
Confronted with this uncertainty, Lachmann’s advice to business leaders and investors would be to discard rigid technocratic forecasting models and embrace decentralized flexibility. He would urge firms to prioritize organizational agility and micro-level experimentation. The ultimate value of AI will not be discovered by top-down political mandates or corporate hype, but through the creative “entrepreneurial imagination” of individuals discovering localized, highly-specific ways to fit the tool into existing workflows.
Ludwig Lachmann would be most critical of the Democratic Socialists of America (DSA). He would describe Modern Monetary Theory (MMT) as a classic technocratic illusion built upon the dangerous myth of macro-aggregates. Because MMT treats government spending as the primary force that creates the value of currency, its proponents argue that a sovereign state faces no real financial budget constraint, only a ceiling dictated by the capacity of physical resources. To Lachmann, this approach treats a highly complex, living economy like a simple plumbing system where liquidity can be pumped in or drained out via taxation to achieve “full employment.” According to that framework the state serves as the ultimate monopoly-issuer of currency, managing inflation entirely through top-down fiscal fine-tuning. Lachmann would view this as a total misunderstanding of the market process. He would argue that money is not just an abstract unit of state accounting, but a crucial vehicle for calculating subjective human plans; injecting massive quantities of state-created fiat money inevitably distorts relative price signals, destroying the landmarks entrepreneurs rely on to interpret the market.
Lachmann’s critique of the DSA and their attempt to structurally overhaul the economy through federal “job guarantees,” single-payer healthcare, and the “Green New Deal”—would focus heavily on the impossibility of democratic central planning. Lachmann would point out that the DSA’s underlying assumption—that a benevolent state can accurately calculate where to direct labor and capital without market-driven prices—ignores the reality of radical uncertainty. When the state forces an economy into a predetermined political mold, it assumes a static world where resource needs are obvious. By replacing spontaneous market discovery with bureaucratic mandates, the DSA would inevitably trigger pervasive structural discoordination.
Furthermore, Lachmann would find the DSA’s prescription for managing inflation—using targeted taxation to absorb excess demand once “full capacity” is reached—to be unworkable. As insights from the Tax Foundation demonstrate, using the tax code as a macroeconomic thermostat introduces immense regulatory volatility and alters production incentives. Lachmann would argue that capital is fundamentally heterogeneous; it consists of complex, interconnected tools and plans that cannot be smoothly “regrouped” by a bureaucrat manipulating tax rates. Trying to “cool down” an economy by aggressively taxing private enterprises and households does not gently reduce aggregate demand; instead, it shatters the complementary relationships between existing capital assets. Lachmann would have described the DSA as ultimately substituting organic economic order for a chaotic environment of state-induced uncertainty.
For individuals attracted to Trump’s populism or the DSA’s collectivism, Lachmann’s enduring advice would be to cultivate a profound humility regarding what human planning can actually achieve. He would urge them to look past the alluring rhetoric and recognize that a society cannot be consciously engineered from the top down without shattering the very mechanisms that allow people to prosper. Ultimately, he would invite well-intentioned reformers to realize that true individual liberty and economic coordination are not found in a static, politically-managed blueprint, but in an open, adaptive institutional framework where diverse individuals are free to interpret, experiment, and spontaneously forge their own paths.
Lachmann would look at the US economy today and say the volatility, the conflicting narratives, and the frustration with top-down policies are exactly what happens when you treat a complex, living web of human interpretations like a predictable textbook equation.
