Sensemaking: The Power of the Humanities in the Age of the Algorithm: Summary & Key Insights

We now live in what I call the age of the algorithm. It is an era where decisions are increasingly delegated to data-driven systems—from hiring and investment to health care and policing. Algorithms promise objectivity, efficiency, and precision. Yet there’s a subtle danger hidden beneath this promise: when we rely on machines to tell us what the numbers mean, we risk losing the capacity to interpret what those numbers represent in human terms.

At ReD Associates, I saw this first-hand. Corporations spend millions to collect behavioral data, but in the end, few can tell you what those patterns *actually* reveal about people’s lives. An algorithm might tell you that people buy more of a product in winter, but it can’t tell you *why*. Maybe the product evokes a sense of comfort, maybe it taps into cultural symbolism of warmth—these meanings live in human experience, not data sets.

The age of the algorithm has given birth to a new mythology—one that treats data as pure truth. But truth has never been that simple. Data is always mediated by interpretation. How we choose to collect, categorize, and analyze it reflects the values and assumptions of those who design the systems. To think algorithmically is to risk mistaking representation for reality. Sensemaking restores the equilibrium—it reminds us that behind every data point is a living person within a specific cultural context.

The central limitation of data-driven thinking lies not in its methodology but in its scope. Numbers can measure patterns, but not interpret them. They can describe human actions, but not the meanings that motivate them. The problem isn’t that quantitative analysis is useless—it’s that we’ve begun to mistake it for a complete worldview.

Companies today can predict what you’ll buy before you know you’ll buy it. Yet prediction is not understanding. Understanding requires immersion, attention, and dialogue. It requires us to ask, what does this choice signify in a person’s life? In our work with clients, we found that business decision-makers often fixate on metrics of efficiency or engagement while ignoring cultural signals—for instance, how social identity, tradition, and emotion drive consumer behavior in ways that defy numerical logic.

Real insight demands that we respect the depth of lived experience. And here’s where humanistic thinking transforms companies. When executives learn to interpret people as cultural beings—not consumers—they begin to see opportunities hidden in plain sight. Data without interpretation leads to imitation; interpretation leads to innovation.