Politics

Current Methods for Selecting Executive Leaders Fall Short of Ideal

The skills that win elections today — virality, algorithmic fluency, and micro-targeting — have little overlap with the skills required to actually govern, and that gap is widening fast.

Marcus Williams6 min read
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Current Methods for Selecting Executive Leaders Fall Short of Ideal
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The process of selecting executive leaders — presidents, governors, mayors — has never been a clean meritocracy. But something structurally different is happening now. The modern attention economy has quietly rewritten the incentive structure of electoral competition, rewarding a specific and narrow set of skills that have little to do with administrative competence, policy depth, or the capacity to govern through crises. The gap between what it takes to win and what it takes to lead has never been wider, and the campaign cycle heading into 2026 and beyond will make that gap harder to close.

The Algorithm Has Replaced the Precinct Captain

Four interconnected forces have reshaped political reality: a privatized digital communications infrastructure optimized for profit, an algorithm trap built around engagement metrics rather than knowledge, and the pervasive effect of short-form video on how voters process information. The result is that campaigns no longer primarily compete for votes. They compete for attention, and those are very different contests.

Traditional retail politics, the handshake-and-diner model that once defined primary campaigns in Iowa and New Hampshire, still exists but has been structurally marginalized. Its leverage has collapsed. Search behavior, creator content, government messaging, and political-style persuasion now all compete in the same feeds, auctions, and streaming environments, turning the entire U.S. media market into a single, high-velocity attention economy. A candidate who excels at a town hall in Concord but cannot generate a shareable clip will lose to someone who has never held a town hall but understands what makes an algorithm promote content.

Short-Form Video: The New Stump Speech

The 2024 U.S. presidential election highlighted the central role of social media presence in reaching the American audience, with candidates leveraging platforms to communicate directly with voters, raise funds, and conduct interviews. X (formerly Twitter) and TikTok moved from the periphery to center stage, enabling direct communication with voters, fundraising, and even interviews, while the rise of viral campaigning meant a single message could reach millions within seconds.

Short-form video platforms like TikTok have become important tools for electoral campaigning, though it remains unclear what kinds of political messages actually gain traction in these algorithmically curated environments, which are particularly popular among younger audiences. What is clear is that the format itself shapes the message: compressed attention spans, vertical framing, and algorithmic sorting all favor emotional provocation over policy explanation. A 15-second clip cannot carry a nuanced position on fiscal policy; it can carry an image, an affect, or an outrage.

Short-form video has fundamentally changed how voters process information. Instead of reading or having deep conversations, voters absorb fragments and regurgitate talking points, lowering the floor of political discourse. When candidates optimize for that environment, as they must if they want to reach younger audiences, the skills being rewarded are performance skills, not governing skills.

What This Rewards in Office

The distortion does not end on election night. Once in office, these incentives reshape governance itself. Rather than policy rollouts built around detailed explanations or administrative planning, announcements arrive through short posts crafted to provoke reaction, with agencies and officials repeatedly forced to respond to statements that short-circuit traditional communication channels. The result is a political atmosphere in which governing becomes reactive and unpredictable, driven as much by the pursuit of attention as by legislative or administrative priorities.

This is the deeper structural problem: the attention economy does not simply change how candidates campaign. It changes what kind of leader gets selected, and then what incentives that leader faces once in power.

Fundraising: Viral Moments Over Local Networks

The financial architecture of campaigns has shifted in ways that amplify these pressures. In the 2022 midterms, the top 100 donors to federal races together spent more than $1.2 billion, mostly through super PACs, roughly 60 percent more than the total amount from the millions of Americans who gave small donations. This is a sharp reversal from 2010, the year Citizens United was decided, when small donors overwhelmingly outspent the 100 largest donors.

At the same time, digital platforms have created a parallel small-dollar economy with its own distortions. The emergence of online fundraising via social media and platforms like ActBlue and WinRed has made it possible for candidates in marquee races or with national profiles to rely on partisans from across the country rather than from their own districts. A candidate who goes viral nationally can outraise a locally rooted opponent ten to one, regardless of which candidate has deeper community ties or a more substantive record.

AI Content and the Degradation of Voter Information

The newest layer of disruption is AI-generated content, and its primary effect is not dramatic electoral fraud but subtler informational pollution. In India's 2024 general elections, AI-generated deepfakes showing celebrities criticizing Prime Minister Narendra Modi and endorsing opposition parties went viral on platforms such as WhatsApp and YouTube. While no direct, quantifiable impact on election outcomes has been identified, these incidents highlight the growing role of AI in shaping political discourse.

The spread of deepfakes and automated disinformation can erode trust, reinforce political divisions, and influence voter perceptions even when individual pieces of content fail to shift votes. A 2024 report by the cybersecurity firm Recorded Future documented 82 pieces of AI-generated deepfake content targeting public figures across 38 countries in a single year, with a disproportionate number focused on elections.

In the United States, AI-created misinformation appeared throughout the 2024 cycle; days before a Slovakian election in 2023, fake audio discussing election manipulation went viral, and in the U.S. presidential contest, a robocall using a fake Joe Biden voice told New Hampshire voters not to vote in the Democratic primary. AI-generated images from hurricane disaster areas and AI-faked celebrity endorsements also circulated widely. The cumulative effect is a voter information environment where authenticity is harder to verify and where campaigns face enormous incentive to use AI offensively, knowing that corrections rarely travel as far as the original falsehood.

The Accountability Deficit

Underlying all of this is a structural breakdown in accountability. Without transparency and a steady flow of reliable information, the corridors of power are likely to be filled with politicians who face few incentives to perform their duties yet are nonetheless reelected. The attention economy actively undermines that information flow by prioritizing content that generates engagement over content that generates understanding.

When voters elect representatives, the expectation is accountability to both the people they represent and the laws they are subject to. Yet institutional barriers designed to keep politicians in office regardless of job performance remain a persistent structural problem. When those barriers are reinforced by information environments optimized for virality, the accountability loop between executive leader and governed public grows even weaker.

What Changes in the Next Cycle

Several campaign tactics are now functionally obsolete for executive races at the state and national level: extended door-to-door canvassing without a digital amplification strategy, traditional 30-second broadcast television spots purchased without demographic targeting data, and press conferences designed for local news coverage without parallel social media rollouts.

What is ascendant: micro-targeted video content calibrated for specific platform algorithms, AI-assisted voter outreach that personalizes messaging at scale, and online fundraising mechanics that convert viral moments into immediate donation surges. Candidates who cannot execute across all three will find themselves outspent and underexposed even if their governing record is superior.

The central challenge for the next election cycle is not simply that bad candidates might win. It is that the selection mechanism itself now systematically filters for a different and narrower skill set than democratic accountability actually requires. Fixing that requires changes not just to campaign finance law or social media regulation, but to the underlying incentive structure that now governs how attention, money, and ultimately power flow through the political system.

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