Iterative Testing and AI Partnerships Drive Media Turnaround - Episode Hero Image

Iterative Testing and AI Partnerships Drive Media Turnaround

Original Title: How to save a magazine, with The Atlantic’s Nicholas Thompson

In this conversation, Nicholas Thompson, CEO of The Atlantic, offers a profound case study in navigating the decline of legacy media and the seismic shifts of the digital age. He reveals that true turnaround success hinges not on chasing immediate wins or replicating past glories, but on a deep, iterative understanding of system dynamics and a willingness to embrace discomfort for long-term advantage. Thompson demonstrates how a rigorous, data-driven approach to subscription models, coupled with a forward-thinking, albeit controversial, strategy for AI engagement, can transform a struggling institution into a profitable one. This discussion is essential for media executives, strategists, and anyone seeking to understand how to build durable value in industries facing existential disruption. It illuminates the hidden consequences of conventional wisdom and offers a blueprint for strategic resilience.

The Atlantic's Unconventional Ascent: Navigating Disruption Through Systems Thinking

The conventional wisdom in the media industry often points to a slow, inevitable decline. Faced with dwindling revenues and the relentless march of digital transformation, many legacy publications have faltered, clinging to outdated models or succumbing to the allure of quick fixes. However, in a conversation on Masters of Scale, Nicholas Thompson, CEO of The Atlantic, presents a compelling counter-narrative. He details how, over the past five years, he has steered the iconic magazine from significant financial distress to profitability and robust growth. This transformation was not achieved by simply applying familiar strategies or by shying away from difficult decisions. Instead, Thompson’s approach is a masterclass in consequence mapping and systems thinking, revealing that the most powerful strategies often lie not in the obvious solutions, but in understanding the intricate web of downstream effects and embracing the discomfort that precedes lasting advantage.

When Thompson took the helm in late 2020, The Atlantic was bleeding tens of millions of dollars annually, having already undergone significant layoffs and the closure of entire departments. The external view was bleak, a familiar story of a venerable institution struggling against the tide. Yet, Thompson saw beyond the immediate crisis. He recognized that the core journalism remained exceptional--a critical asset that could be leveraged. His strategy was not to reinvent the wheel, but to systematically test and refine the existing mechanisms, particularly its digital subscription model. This involved a relentless focus on data, iterative testing, and a willingness to challenge deeply ingrained assumptions about how a media organization should operate in the digital age. The conversation highlights how the obvious answer--perhaps a pivot to cheaper content or a desperate search for new revenue streams--was insufficient. Instead, Thompson’s success is rooted in a deeper understanding of the system: how subscriber behavior, content strategy, and business models interrelate and evolve over time.

The Unseen Mechanics of Subscription Growth: Beyond the Obvious Fixes

When Nicholas Thompson stepped into the CEO role at The Atlantic, the financial situation was dire. The publication was hemorrhaging money, a stark reality that could have easily led to a crisis of conviction. Yet, Thompson’s initial assessment was not one of despair, but of strategic opportunity. He recognized that while the economics were troubling, the journalism itself was world-class. This distinction is crucial: a strong product, even in a struggling market, provides a foundation for recovery.

Thompson’s approach to revitalizing The Atlantic’s subscription revenue was not about finding a single "magic bullet." Instead, it was a deliberate application of systems thinking, drawing parallels to the iterative, data-driven methodologies he had witnessed in the tech industry. He initiated a culture of rigorous testing, running an astonishing 230 tests in a single year on variables related to the paywall and paid marketing. This wasn't about making broad, sweeping changes; it was about micro-optimizations, understanding that small improvements, when compounded, could lead to significant shifts.

The Paywall Paradox: Balancing Access and Revenue

A central challenge Thompson faced was the inherent tension between a media organization's mission to inform the public and its need to generate revenue. A hard paywall, while effective in driving subscriptions, can alienate a broader audience and potentially harm advertising revenue and the publication's role in public discourse. Thompson articulated this dilemma: "You have to square all those things."

The solution was not to abandon the paywall, but to make it smarter. The goal became to create a sophisticated system that could differentiate between readers who were likely to subscribe and those who were not. This involved analyzing a multitude of data points--the referral source, the type of content, user behavior--to make educated guesses about a visitor's propensity to pay. For instance, rules might differ for users arriving from Google Search versus those coming from Twitter or directly from The Atlantic's own social media.

This granular approach to paywall management is a prime example of consequence mapping. Instead of a simple "on/off" switch, Thompson’s team designed a dynamic system. The immediate benefit of a harder paywall was increased subscription revenue. However, the hidden consequence was the potential loss of readership among those who hit the paywall. The downstream effect, if not managed correctly, could be a diminished brand reach and a less informed public. By developing a paywall that intelligently allowed access for some while requiring payment from others, Thompson aimed to optimize for both revenue and reach, a delicate balance that required continuous testing and refinement.

The 18-Month Gauntlet: Patience as a Competitive Advantage

The journey from implementing these changes to seeing tangible results was not instantaneous. Thompson candidly admits to experiencing a "crisis of conviction" in the second year when subscriptions initially dropped. This period, stretching roughly 18 months from his start date, highlights a critical aspect of systems thinking: the importance of time horizons.

Thompson’s confidence was anchored not in immediate metrics, but in the underlying strength of the team and the data emerging from their iterative tests. He understood that systemic change takes time to gestate. While external indicators might appear ominous, leading indicators within their testing framework suggested progress. This patience, this willingness to endure a period of uncertainty and apparent stagnation, became a significant competitive advantage. Most organizations, facing such a prolonged period without visible wins, might have abandoned the strategy or reverted to more conventional, less effective approaches. The Atlantic, however, persisted.

The eventual payoff--reaching profitability and exceeding their goal of one million subscribers--demonstrated the power of this long-term perspective. The delayed gratification, the 18-month "gauntlet," created a durable moat. By the time the hockey-stick growth was undeniable, The Atlantic had built a robust, data-informed subscription engine that was far more resilient than competitors who might have sought quicker, less sustainable fixes. This period of discomfort, endured with conviction, directly translated into lasting advantage.

The AI Reckoning: Navigating the "Deal with the Devil"

The advent of advanced AI models presented another significant disruption, forcing media organizations to confront complex questions about copyright, data usage, and the future of content creation. Nicholas Thompson’s decision to enter into a licensing deal with OpenAI was met with significant internal resistance, famously prompting a story in The Atlantic titled "The Deal with the Devil." This reaction underscores a common dynamic: when an organization’s core mission or values appear to be challenged, even by a pragmatic business decision, discomfort and dissent are natural.

Thompson’s rationale, however, was grounded in a clear-eyed analysis of the system and its likely trajectory. He articulated that AI companies had, in his view, “scraped all our data, clearly in violation of our terms of service, probably in violation of copyright law.” This act, while potentially illegal and unethical, had already occurred and formed the basis of competing products. The choice, as Thompson framed it, was not between doing nothing and striking a deal, but between legal battles and negotiation.

The Leverage of Discomfort: Why Suing Isn't Always the Best First Move

Thompson acknowledged the argument for legal action, noting that The Atlantic was party to other lawsuits. However, he prioritized a pragmatic approach: seeking compensation and establishing a partnership. This decision was informed by historical precedents, such as the relationship between media companies and platforms like Google and Facebook. As Thompson observed, "None of these partners can be trusted... But they're capitalists and they're self-interested. And they would rather they make money than you make money."

The immediate discomfort of the OpenAI deal stemmed from the perception of collaborating with entities that had, in essence, exploited their content. However, Thompson’s analysis extended to the downstream consequences of inaction. Simply being frustrated or pursuing litigation without exploring other avenues could lead to being sidelined, with AI companies continuing to benefit from their content without compensation. The deal, therefore, was an attempt to exert leverage and ensure a "fair exchange of value."

Building a Mutually Beneficial Ecosystem: The Future of Content and AI

Thompson’s vision for the future of media and AI is one of a mutually beneficial ecosystem, rather than a zero-sum game. He criticized the current model where AI companies benefit from vast amounts of data without a clear, ongoing exchange of value. He proposed several potential models:

  • Revenue Sharing: Similar to Perplexity’s approach, where AI companies could directly pay content creators based on the proportion of their content used to generate an answer.
  • Subscription Integration: Allowing authenticated subscribers of a publication like The Atlantic to access enhanced AI features, creating a direct value proposition for both the user and the publisher.
  • Referral Partnerships: AI models identifying high-propensity subscribers and directing them to the publisher’s subscription page, creating a direct lead-generation channel.

The immediate challenge is that these models have not yet been widely adopted. Thompson’s strategy with OpenAI was a pragmatic step towards influencing this future. By engaging, he aimed to be part of the conversation and to establish a precedent for fair compensation. The "Deal with the Devil" was, in his view, a necessary step to avoid being completely disintermediated, a strategy that required enduring short-term criticism for the potential long-term benefit of shaping the emerging AI landscape. This demonstrates a sophisticated understanding of how to influence a nascent system by participating in it, even when the initial terms are imperfect.

The Personal Brand Advantage: Authenticity as a Business Driver

In an era where personal brands can significantly impact organizational perception, Nicholas Thompson’s daily video series on AI and technology has become a notable asset for The Atlantic. While initially a personal endeavor driven by a journalist’s curiosity, it evolved into a powerful, albeit unconventional, marketing channel for the publication.

Thompson’s decision to continue the series after becoming CEO was met with skepticism: "Why are you still doing this?" His response revealed a deep understanding of how authenticity and consistent engagement can build trust and create business opportunities. He viewed the videos not as a distraction, but as a "learning mechanism" and a way to "force myself" to stay connected to the broader world of ideas, a core tenet of his journalistic background.

The Unfiltered Advantage: Why Authenticity Resonates

The critical insight here is the value of "Nick unfiltered." Thompson recognized that as soon as the videos became curated, filtered through a corporate communications lens, or focused solely on promoting The Atlantic, their value would diminish. The power lay in his genuine curiosity and his willingness to share his unvarnished thoughts, even if it meant occasionally upsetting advertisers or partners.

This commitment to authenticity created a unique form of social proof. CMOs and potential advertisers who watched his videos saw not just a CEO, but a thought leader deeply engaged with the issues shaping their industries. This personal connection, built through consistent, unfiltered content, fostered a level of trust that traditional advertising struggles to achieve. When Thompson then pitched advertising opportunities in The Atlantic, he was no longer just a CEO; he was a known, credible voice with whom potential partners already felt a connection. This is a clear example of how embracing a potentially uncomfortable, time-consuming activity--maintaining a personal brand--can yield significant, long-term business advantages by building authentic relationships.

The Opportunity Cost of Influence: Not Everyone Should Be a Creator

However, Thompson also offered a crucial caveat: personal branding is not a universal solution. He stressed that his ability to do this was predicated on prior experience, including years of television appearances and even street performing. He acknowledged the "opportunity cost"--the time and energy that could be spent elsewhere. Therefore, he advised that this path is only worthwhile if an individual possesses the requisite skills and if it aligns with their personality and strategic goals. For leaders who are not naturally inclined towards public creation, forcing it would likely be counterproductive, leading to inauthentic content that fails to resonate and detracts from more impactful leadership activities.

The Running Ground: Lessons in Resilience and Self-Mastery

Nicholas Thompson’s memoir, The Running Ground, offers a profound exploration of his relationship with his father, his career, and the discipline of running. The narrative reveals how the seemingly simple act of running has provided him with critical insights into resilience, self-mastery, and the nature of progress--lessons that directly inform his leadership.

A central theme is Thompson’s own running journey. For years, he was stuck at a specific marathon time, a plateau that seemed insurmountable. His breakthrough came not through increased training intensity, but through a deep internal realization: his mental block about surpassing his previous best, particularly after a health scare, was the true impediment. This insight--that perceived limits are often self-imposed and deeply psychological--is a powerful metaphor for organizational and personal growth.

Embracing Pain for Lasting Gain: The Business of Discomfort

Thompson draws a direct parallel between the demands of elite running and the challenges of leadership. To improve his marathon times, he had to embrace "withering pain" and push himself to paces that felt unsustainable. He learned that avoiding discomfort is antithetical to significant progress. This lesson is directly applicable to business: "Sometimes you have to go at an uncomfortable pace. And sometimes you have to like just charge into the thing you don't want to do."

The downstream effect of consistently seeking out and enduring this discomfort in training is a heightened capacity for performance. In a business context, this translates to tackling difficult projects, making unpopular decisions, or investing in long-term initiatives that offer no immediate reward. The organizations and individuals who are willing to embrace this discomfort--to "charge into the thing you don't want to do"--are the ones who ultimately achieve significant, sustainable success. This is where immediate pain creates lasting advantage, a principle Thompson applies both to his personal life and his leadership of The Atlantic.

The Objective Mirror: Running as a System for Self-Awareness

The simplicity of running, Thompson suggests, makes it a powerful tool for self-discovery. Unlike team sports with subjective judgments, running is objective: time is time. This direct feedback loop means that any failure or success is unequivocally attributable to the runner's own actions and mindset. "If you went slower, it's because of something you did," he states.

This objective mirror allows for a clear understanding of one's own limitations and potential. When applied to leadership, it means fostering an environment where individuals can confront their own self-imposed barriers. Thompson’s approach to employee development reflects this: instead of dictating solutions, he guides individuals to discover their own potential, asking questions like, "What is the biggest thing that you think you could accomplish here?" This mirrors the coaching process in running, where the coach helps the athlete uncover their own capacity for improvement, rather than simply prescribing a regimen. The system of running, with its inherent objectivity, provides a framework for understanding how mindset, effort, and psychological barriers directly impact outcomes--a lesson invaluable for any leader seeking to unlock potential within their team.

Key Action Items:

  • Embrace Iterative Testing: Implement a rigorous program of A/B testing for key customer-facing systems (e.g., paywalls, website features, marketing offers). Aim to conduct at least 50 significant tests quarterly to identify incremental improvements. Immediate Action.
  • Develop a Long-Term AI Strategy: Rather than solely focusing on legal recourse, actively explore partnership and licensing opportunities with AI companies. Prioritize models that ensure a fair exchange of value and build direct relationships where possible. This pays off in 12-18 months.
  • Cultivate a "Discomfort Advantage" Culture: Encourage teams to proactively identify and tackle challenging, high-impact projects that may involve short-term pain or unpopularity. Frame these initiatives as opportunities for significant long-term gain. Over the next quarter.
  • Invest in Direct Audience Relationships: Prioritize channels like newsletters, apps, and print publications that foster direct connections with your audience, reducing reliance on third-party platforms. Immediate Action.
  • Leverage Authentic Personal Branding (Selectively): For leaders who possess the inclination and skill, maintain an unfiltered public presence that reflects genuine curiosity and expertise. This builds trust and can serve as a powerful, albeit indirect, marketing channel. This pays off in 6-12 months.
  • Foster Objective Self-Reflection: Implement performance review processes that guide individuals to identify their own self-imposed limitations and potential. Facilitate discovery rather than dictating solutions. Immediate Action.
  • Build for Durability, Not Just Speed: When making strategic decisions, explicitly map out the downstream consequences over multiple time horizons. Prioritize solutions that create lasting competitive advantage, even if they require significant upfront investment or patience. This pays off in 18-36 months.

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