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Beyond the Code: What Software Leaders Can Learn from the Heartland's Harvest of Uncertainty

  • Writer: Colin Swindells
    Colin Swindells
  • 11 minutes ago
  • 3 min read

Tech leaders face manageable labor cost changes (<7% YoY) compared to US farm leaders who endure swings up to 69%. Farmers also manage intense financial and climate uncertainty. This article extracts critical lessons from farm-based decision-making under extreme volatility—specifically in resilience planning, strategic adaptability, and long-term perspective—offering actionable insights for engineering, design, and product leaders seeking to build more robust teams and strategies in the face of any operational uncertainty.


Imagine navigating a key operational cost of your company, your talent pool, knowing it could swing wildly from one year to the next. For many software leaders on the Coasts, labor cost fluctuations are relatively contained. But for farm decision-makers in the US Heartland, managing extreme variability is simply the nature of the business, offering valuable lessons in resilience and strategic planning for us all.


Consider the stark contrast in labor cost volatility over the past three decades, as highlighted by data analysis comparing farm workers and software engineers [1, 2, 3]. While software leaders have experienced relatively modest year-to-year changes, typically seeing shifts of no more than 7% (like the peak increase in 1998) and occasional dips (like the -4% decrease in 2022), their counterparts in agriculture face a dramatically different reality. As illustrated in Figure 1, farmers have had to wrestle with staggering annual labor cost increases peaking at 38% in 2010, and challenging decreases plunging as low as -69% in 2005 and -35% in 2021.


This labor cost rollercoaster is just one facet of the complex web of uncertainty that farm leaders must navigate daily. Their decision-making calculus extends far beyond personnel costs. They operate at the mercy of volatile financial markets, where the price of essential inputs like seed, fertilizer, and fuel can surge unpredictably, while the selling price for their crops can plummet just as quickly. This financial precarity is starkly evident in net production value swings, which have cratered to inflation-adjusted losses like -$246 per acre in 1999 and soared to profits like $333 per acre in 2011 [1, 3].


Compounding these financial pressures is the omnipresent influence of climate variability. Farmers constantly make high-stakes decisions under the shadow of unpredictable rainfall patterns, the threat of devastating storms, the emergence of resilient pests and diseases, and the long-term challenge of maintaining soil health. Each of these factors can dramatically impact yield and profitability, demanding constant adaptation and risk mitigation.


So, what can software leaders, operating in environments that are increasingly volatile, glean from the experiences of Heartland farmers? Firstly, farmers exemplify mastery in resilience planning. They inherently build contingencies for worst-case scenarios – drought, market collapse, disease outbreak. Software leaders can adopt a similar mindset, stress-testing their own operational and financial plans against more extreme volatility than recent history might suggest, even in areas like talent costs which seem stable now.


Secondly, farmers demonstrate exceptional adaptability. They constantly adjust their strategies based on real-time conditions – changing crop rotations, altering input applications, or shifting marketing timing. This echoes the agile methodologies prized in tech but applies it to the entire business ecosystem. Software leaders can cultivate this broader strategic agility, fostering quicker responses to market shifts, competitive pressures, or unexpected technological disruptions.


Finally, farming demands a long-term perspective amidst short-term chaos. Investing in soil health or managing resources sustainably yields benefits over years, despite annual fluctuations. Similarly, software leaders must balance immediate sprint goals and quarterly targets with sustained investment in team well-being, technical infrastructure, and long-range strategic positioning.


While the specific variables differ, the core challenge of making critical decisions under significant uncertainty is universal. By looking to the fields of the Heartland, software leaders can harvest invaluable insights into building more resilient, adaptive, and strategically sound organizations prepared for whatever storms may lie ahead.

Figure 1:  Labor Cost Variability for Software Engineers and Farm Workers
Figure 1:  Labor Cost Variability for Software Engineers and Farm Workers

[1] Farm worker labor data are mid-point estimates of Heartland farm operations from USDA Economic Research Service - Commodity Costs and Returns (Corn)


[2] Software Engineer data are mid-point estimates based on median wage data for relevant SOC codes (e.g., 15-1252, 15-1253, and predecessors) from US Bureau of Labor Statistics Occupational Employment and Wage Statistics (BLS OEWS)


[3] All dollar values are inflation adjusted to 2023 dollars and using data from US Consumer Price Index, 1913-

 
 
 

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©2025 by Colin Swindells.

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