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After years of content teams striving to meet ever-growing demand, a new and perhaps more profound challenge has emerged: discerning what to publish amidst an unprecedented deluge of readily available material. The advent of artificial intelligence (AI) has dramatically shifted the bottleneck in content creation, transforming it from a scarcity of output to an overwhelming abundance, thereby elevating the critical need for human judgment and refined editorial leadership.
For decades, the backbone of any robust content operation has been its team of writers, editors, and designers. Content calendars were meticulously constructed, often stretched thin by the team’s production capacity, with time always being a critical constraint. This inherent limitation naturally led many to view AI as the obvious solution for accelerating output, a tool capable of alleviating the relentless pressure to "keep up." Indeed, the promise of AI has largely materialized in terms of raw production speed. Any marketing team equipped with a credit card and a well-developed prompt library can now conceivably populate next quarter’s content calendar in a matter of days, rather than weeks or months.
The widespread adoption of AI in content creation is not merely anecdotal; it is a documented industry trend. HubSpot’s comprehensive 2026 State of Marketing report revealed that a striking 86.4% of marketing teams are currently leveraging AI in some capacity, with a substantial 42.5% reporting extensive use specifically for content generation. AI’s utility spans a wide array of tasks crucial to content workflows, including drafting initial concepts, outlining complex articles, summarizing lengthy reports, and even performing sophisticated editing – all accomplished in minutes, tasks that once demanded hours or even days of human effort.
The Paradigm Shift: From Scarcity to Superfluity
The immediate consequence of this technological leap is a profound shift in operational dynamics. Content teams now routinely find themselves with more drafts than they can realistically review, more pieces awaiting approval than can be thoroughly vetted, and, ultimately, more content than they can effectively manage. This newfound production capacity, while initially celebrated, quickly reveals its own set of challenges. The critical question rapidly surfaces: who possesses the time, expertise, and discerning eye to ensure that every piece doesn’t simply blend into the monotonous hum of countless other AI-generated drafts flooding the digital landscape?
This burgeoning problem underscores a fundamental truth: the individual responsible for deciding what ultimately sees the light of day and what remains in the digital archives controls the entire content lifecycle. This pivotal role, traditionally known as a content manager or editorial lead, has historically been tasked with maintaining a full content calendar, overseeing freelance contributors, and shepherding pieces through the review process. These job descriptions were largely oriented around throughput – measuring success by the sheer volume of content produced, the speed of its delivery, and the channels it populated. The emphasis was squarely on quantity and operational efficiency in a world where production was the primary bottleneck.
However, many organizations continue to operate with job descriptions for these critical roles that are woefully out of sync with the current technological reality, effectively stuck in a 2016 mindset. What the vast majority of content teams desperately need now is not merely a throughput manager, but a managing editor – a role fundamentally defined by its commitment to quality, strategic alignment, and distinctive brand taste, rather than simply maximizing output.
Faster Work Still Demands Superior Judgment
The promise of AI to accelerate work has largely been fulfilled. What once consumed a team for an entire week can now be accomplished in a single afternoon. Yet, the illusion of a simple "plug-and-play" solution for content creation quickly dissipates upon closer examination, primarily because every organization approaches content generation with unique strategic objectives, brand guidelines, and target audiences.
Consider the case of Klarna, the global fintech company. They successfully reduced sales and marketing agency expenses by 25% while simultaneously boosting campaign output. This impressive achievement, however, was not solely attributable to the deployment of AI tools in isolation. Their success stemmed from a holistic and strategic revamp of their underlying processes for image production, copywriting, and agency workflows. AI became an effective amplifier only after the surrounding human-driven system was meticulously enhanced and optimized. This illustrates a crucial principle: AI should be integrated into already effective human processes, rather than attempting to reverse-engineer human workflows to accommodate AI’s capabilities.
This perspective aligns with a broader industry shift observed by Microsoft’s Katy George at Charter’s AI Summit, who noted, “We used to pay attention to adoption, now we just pay attention to performance.” This reorientation towards measurable performance over mere adoption is profoundly relevant for content operations. While increased speed undeniably leads to higher volume, this very volume inherently introduces additional pressure on those charged with safeguarding quality. Each additional draft, each new piece of AI-generated content, carries an inherent risk. Every published piece that falls short of consumer expectations, or deviates from established brand standards, has the potential to erode brand perception and negatively impact overall performance.
The fundamental questions that underpin the value and efficacy of each piece of content remain immutable, regardless of the tools used for its generation: Is it relevant to our audience? Does it align with our brand values? Is it accurate and authoritative? Does it offer unique value? Does it resonate emotionally? Does it move our audience towards a desired action?
The Governance Gap: AI Deployment Outpaces Oversight
One of the most pressing challenges facing content teams today is the rapid pace at which AI is being deployed, often far outstripping the development and implementation of robust governance frameworks. A recent survey by EY highlighted this alarming trend, revealing that more than half of AI projects within various departments are proceeding without adequate supervision. Furthermore, almost four out of five leaders admit they struggle to keep pace with the escalating business risks inherent in adopting AI too quickly.
The direct consequences of this governance gap in content operations are significant and detrimental. Without proper oversight, teams frequently experience an inconsistent brand voice, a noticeable weakening of editorial judgment, and a gradual erosion of established brand standards. This inconsistency can confuse audiences, dilute brand identity, and ultimately undermine the strategic objectives of content marketing efforts.
This is precisely where the modern managing editor steps in, acting as the critical bridge that closes this widening gap. At organizations like Contently, the managing editor role is specifically designed to ensure that content production, even at scale, remains consistently on-brand and adheres to the highest quality standards. The role of the managing editor, in this contemporary context, is defined by six crucial functions:
- Brand Voice Guardian: They ensure every piece of content speaks with a consistent, recognizable, and authentic brand voice, even when generated by diverse teams or AI.
- Strategic Aligner: They verify that all content directly supports overarching business and marketing objectives, avoiding the creation of content for content’s sake.
- Quality Control Advocate: They set and uphold rigorous quality benchmarks for accuracy, clarity, engagement, and originality, regardless of the content’s origin.
- Risk Mitigator: They identify and address potential reputational, ethical, or factual risks associated with content, particularly AI-generated material.
- Workflow Optimizer: They integrate AI tools thoughtfully into existing human workflows, ensuring efficiency gains without compromising quality or strategic intent.
- Audience Empathizer: They maintain a deep understanding of the target audience, ensuring content genuinely addresses their needs, pain points, and interests.
The Power of Omission: What You Don’t Publish Does the Real Work
A crucial lesson emerging from the widespread adoption of AI in content operations is counterintuitive yet profound: when content production becomes remarkably cheap and efficient, the pieces that never see the light of day often do the most significant strategic work. Why? Because the very act of discerning and omitting low-quality or off-brand content elevates and amplifies the truly exceptional, on-brand pieces.
A publication that commits to shipping less but with an unmistakably clear point of view and unwavering quality will, over time, cultivate a loyal and engaged readership. In stark contrast, a publication that prioritizes volume simply to fill a calendar, churning out forgettable or inconsistent posts, inevitably risks losing reader trust with every bland or off-key piece. Audiences are increasingly sophisticated and discerning; they quickly perceive the difference between curated excellence and mass-produced mediocrity.
Voice consistency is no longer merely a desirable trait; it has become an invaluable asset in a fragmented and noisy digital landscape. What a brand chooses to share, and how it shares it, profoundly defines its identity, multiplied across myriad touchpoints and channels. Teams that have experienced the erosion of a strong, distinctive brand voice due as a direct consequence of prioritizing high volume are acutely aware of this risk. Over a period of just a year or two, readers may gradually cease to recognize or connect with a brand whose voice has become diluted and inconsistent.
This underscores the managing editor’s primary focus: decision-making, not merely production oversight. Their role is to judiciously choose what the publication will endorse and champion, and, equally important, what it will unequivocally not endorse. This critical act of curation and gatekeeping is the ultimate safeguard of brand integrity and strategic messaging.
What to Hire For: Traits of the Modern Managing Editor
Given the evolving landscape, the hiring criteria for this pivotal role must reflect the new demands for judgment, discernment, and strategic vision. Seven key traits are paramount:
- A Reader’s Ear: This is perhaps the most crucial. It’s the innate ability to detect when a sentence, though technically fluent, feels hollow or off-brand; to discern a tone that is grammatically correct but fundamentally off-key for the target audience. This is an intuitive sense of what resonates and what falls flat.
- Strategic Acumen: The capacity to understand the broader business objectives and translate them into actionable content strategy, ensuring every piece serves a purpose beyond mere publication.
- Brand Empathy: A deep, almost visceral understanding of the brand’s identity, values, and desired perception, enabling them to consistently articulate and protect it.
- Editorial Integrity: An unwavering commitment to truth, accuracy, and ethical content practices, particularly important when navigating AI-generated material.
- Decisive Judgment: The ability to make difficult, often subjective, calls on what to publish, what to revise, and what to discard, based on strategic alignment and quality standards.
- Collaborative Leadership: The skill to guide and inspire writers, designers, and AI tools, fostering a creative environment that values both efficiency and excellence.
- Adaptability to Technology: While not a technologist, they must understand the capabilities and limitations of AI and other content tools, integrating them intelligently into workflows. Most other traits, while important, can be developed or taught over time, but the "reader’s ear" and strategic judgment are often intrinsic.
The Managing Editor in Practice: A Blueprint for Success
For organizations like Contently, which have served clients for years, long before the current volume crisis, the managing editor role has been central to their success. These managing editors work in close collaboration with in-house teams, actively soliciting pitches, assigning detailed briefs, and meticulously editing each piece to ensure it perfectly aligns with the client’s brand voice and overarching content strategy.
The effectiveness of this operational setup lies precisely in its clear structure and defined authority. A single, empowered individual makes the final editorial call, guaranteeing that every published piece is not only high-quality but also strategically coherent and perfectly aligned with the client’s objectives. This singular point of accountability prevents the diffusion of responsibility that often leads to inconsistent output in high-volume environments.
In today’s content landscape, the ability to create content is no longer a differentiator; it’s a commodity. Anyone with access to basic tools and a credit card can generate content. What will truly define and distinguish a brand five years from now is its unique point of view, its distinctive voice, and its unwavering commitment to quality – qualities that endure and resonate through the noise of the AI era. This endurance, this steadfast commitment to a singular vision, will be the ultimate differentiator separating one publication from another as content volume becomes virtually free and true quality remains a rare and valuable commodity.
However, this future of brand authority and distinctiveness is not guaranteed. Its realization hinges entirely on the presence of a specific individual within the organization – someone who is appropriately compensated, deeply trusted, and fully empowered to make the critical decisions about what gets published and what does not. Most content teams are now well-equipped with talented writers and sophisticated tools. What they frequently lack, and what will become the most critical constraint in 2026 and beyond, is a dedicated decision-maker whose primary function is judgment.
Frequently Asked Questions (Expanded)
What does a managing editor actually do that a content manager doesn’t?
The core distinction lies in their primary metric of success and their scope of authority. A content manager is typically measured by throughput: the number of pieces shipped, deadlines met, and the calendar filled. Their focus is on operational efficiency and volume. A managing editor, on the other hand, is measured by judgment: the quality and strategic impact of what made the cut, the wisdom behind what was intentionally omitted, and the sustained integrity of the publication’s voice over time. While the two roles often overlap in operational tasks like workflow management and team coordination, they diverge significantly in their ultimate accountability and decision-making authority. The managing editor holds the final say on editorial quality and brand alignment.
Why does this role matter more now than it did five years ago?
The increased importance of the managing editor role is a direct consequence of the AI-driven paradigm shift in content production. Five years ago, the bottleneck in content creation was almost always production capacity – the sheer time and resources required to generate enough content. Today, with AI tools capable of generating a month’s worth of drafts in a single afternoon, that bottleneck has decisively shifted. The new constraint is no longer how much content can be made, but what content is truly worth publishing. That critical decision – the act of editorial judgment – is precisely where a brand’s voice lives or dies, where its authority is built or eroded. Without a dedicated managing editor, the flood of AI-generated content can quickly dilute brand identity and confuse audiences.
Can AI replace a managing editor?
Unequivocally, no. While AI is an incredibly powerful tool for drafting, outlining, summarizing, and even sophisticated editing, it cannot replicate the nuanced, context-dependent judgment of a human managing editor. AI lacks the institutional memory to hold years of context about what a publication has historically said, what narratives have resonated with its audience, what content has performed exceptionally well, and, crucially, what sounds fundamentally off-brand. This kind of deep, intuitive understanding of brand ethos, audience psychology, and strategic impact – informed by years of experience and human intuition – remains an exclusively human job. AI can augment, but it cannot replace, the strategic foresight and qualitative discernment essential for editorial leadership.
What’s the single most important trait to hire for?
The single most important trait to prioritize when hiring a managing editor is "a reader’s ear." This refers to an almost intuitive ability to discern the subtle nuances of language, tone, and style; to immediately identify when a sentence, though grammatically fluent, feels hollow or lacks authentic brand resonance; or when a piece, while technically correct, strikes an off-key note for the intended audience. This keen sensitivity to the qualitative aspects of content, and its alignment with brand identity, is extremely difficult to teach. While other essential traits like strategic thinking, leadership, and adaptability can be cultivated and refined over time, this inherent editorial sensitivity is often the defining characteristic that elevates a good editor to an exceptional managing editor in the AI era.
