Abdullah Jan
Islamabad: Public debates often focus on whether institutions, technologies and policies are succeeding or failing, but a new commentary argues that a more important question is frequently overlooked: what exactly are those systems designed to achieve?
In an essay titled Optimized for What?, author Ali Rehman Malik contends that many outcomes people find troubling are not necessarily the result of malfunctioning systems, but rather the predictable consequences of systems pursuing the objectives they were built to maximize.
Malik argues that social media platforms provide a clear example. While companies often describe their mission as connecting people, platforms optimized primarily for engagement and attention may naturally reward content that generates outrage, comparison or division.
“The algorithm is not necessarily malfunctioning,” he writes. “It may be succeeding.”
The same logic, he suggests, applies to politics and economics. Political systems that prioritize electoral success and short-term popularity may struggle to address long-term challenges, while economies focused heavily on gross domestic product growth and asset appreciation can produce widening disparities in wealth and opportunity.
According to Ali Rehman Malik, such outcomes should not always be viewed as unexpected failures. Instead, they may reflect the incentives embedded within the systems themselves.
“The system is rarely producing outcomes at random,” he writes. “It is usually optimizing for something.”
The essay argues that understanding those underlying optimization targets is essential before attempting reforms or proposing solutions. Rather than focusing solely on outcomes, policymakers, business leaders and citizens should examine the incentives driving behavior and decision-making.
Ali Rehman Malik suggests two key questions: “What is this system actually trying to maximize?” and “What is it quietly sacrificing in the process?”
He concludes that these questions often provide a clearer explanation of results than the results themselves, urging readers to look beyond whether a system appears successful or unsuccessful and instead consider the objectives it is designed to pursue.
“Before asking whether a system is succeeding or failing,” Malik writes, “ask: Optimized for what?”
