The Flynn Effect, which observed a steady increase in IQ scores throughout the 20th century, began to plateau or reverse in several developed nations starting around 1970. Marchand suggests that the current era of generative AI could accelerate this downward trajectory if individuals continue to outsource their primary reasoning to algorithms. Beyond cognitive concerns, Marchand’s work draws from interviews with over 120 CEOs to redefine modern corporate culture, emphasizing that employee loyalty remains tethered to individual managers rather than abstract company missions. As she builds her own "agentic AI board of directors"—a system of AI agents designed to challenge her executive decisions—Marchand highlights a future where the most valuable human skills will be those that AI cannot replicate: empathy, leadership, and the ability to navigate complex ethical failures.
The Reversal of the Flynn Effect and the Advent of Digital Dementia
For nearly a century, average IQ scores rose by approximately three points per decade, a phenomenon attributed to better nutrition, expanded schooling, and increased environmental complexity. However, data from the last 50 years suggests this trend has stalled. Research from the Ragnar Frisch Centre for Economic Research in Norway, which analyzed 730,000 IQ tests, found that scores began to drop for cohorts born after 1970. Marchand connects this data to the modern workplace, where the friction required for cognitive growth is being smoothed away by technology.
The term "digital dementia" refers to the cognitive decline resulting from the over-use of digital technology, where the brain’s ability to store and retrieve information weakens because it no longer needs to perform those functions. When individuals use AI to draft emails, summarize reports, or solve problems without first engaging in the "heavy lifting" of thought, the neural pathways associated with critical analysis may atrophy. Marchand argues that the brain grows by "wrestling with ideas," and when that struggle is outsourced to a chatbot, the individual loses the opportunity for intellectual development.
AI as a Sparring Partner: A Strategic Framework
To combat the potential for cognitive decline, Marchand advocates for a specific methodology when interacting with generative AI. Rather than using AI as an "answering machine," she suggests using it as a "sparring partner." This framework requires a three-step process:
- Independent Ideation: The user must develop their own thesis, outline, or solution before engaging with the technology.
- Adversarial Prompting: The user should prompt the AI to find flaws in their logic, identify blind spots, or provide counterarguments.
- Synthesis: The user must then evaluate the AI’s feedback and integrate it into a refined final product.
By training AI to stop "agreeing" with the user, individuals can leverage the tool to enhance their critical thinking rather than replace it. This approach is particularly relevant in innovation strategy, where Marchand notes that the greatest failures often stem from "confirmation bias"—the tendency to seek out information that supports existing beliefs while ignoring contradictory evidence.
The Evolution of Management and Corporate Culture
Marchand’s research into corporate structures reveals a persistent truth: people follow great managers, not great companies. In her interviews with over 100 CEOs, a recurring theme emerged regarding the "Breakfast Test"—a metaphorical assessment of whether an employee feels motivated and psychologically safe starting their workday under their current leadership.
Strong management, according to Marchand, is defined by the creation of psychological safety. This environment allows teams to have honest conversations about failure without fear of retribution. In her book, No Fear, No Failure, she outlines how companies can build cultures that survive and even thrive on setbacks. She suggests rituals such as "Failure Fridays," where teams openly discuss what went wrong during the week and what was learned, as a way to build trust and institutional knowledge.
This focus on human-centric leadership becomes even more critical as technical tasks are automated. Marchand notes that while an AI can optimize a supply chain or write code, it cannot provide the emotional intelligence required to manage a diverse team through a crisis or mentor a junior employee. Consequently, skills like communication, empathy, and ethical judgment are seeing a "premium" in the modern labor market.
The Job Market: Networking Over Resumes
In an era where AI can generate and submit hundreds of job applications in seconds, the traditional resume has lost much of its signal strength. Marchand points out that "blasting out" 500 applications is often a waste of time, as applicant tracking systems (ATS) and human recruiters are overwhelmed by the sheer volume of AI-generated content.
Instead, Marchand emphasizes that the most significant opportunities still arise from personal relationships and genuine networking. Data from various industry reports suggests that between 70% and 85% of jobs are filled through networking and are never even posted on public job boards. Marchand encourages professionals to build "networks across industries" rather than staying within their immediate silos, as cross-pollination of ideas often leads to more resilient career paths.
Agentic AI and the Future of Governance
Perhaps the most provocative aspect of Marchand’s current work is her development of an "agentic AI board of directors." Agentic AI refers to systems that can act autonomously to achieve specific goals, rather than just responding to prompts. Marchand is experimenting with a board composed of specialized AI agents—one focused on finance, one on marketing, one on ethics, and so on—to provide oversight for her own company.
She jokingly notes that this board could one day "vote to fire her," but the underlying principle is serious: using AI to provide objective, data-driven checks and balances on human executive power. This represents a shift from AI as a tool to AI as a stakeholder in corporate governance. This transition raises significant questions about accountability, the legal status of AI "decisions," and the future of fiduciary duty.
Chronology of Cognitive and Technological Shifts
- 1900–1970: The Flynn Effect is dominant; IQ scores rise globally due to improved living standards and education.
- 1970s: IQ scores in several developed nations begin to plateau or show initial signs of decline.
- 2000s: The rise of search engines and smartphones begins to change how humans store and retrieve information (the "Google Effect").
- 2022–Present: The mass adoption of generative AI (like ChatGPT) introduces the ability to outsource complex creative and analytical tasks.
- Present Day: Experts like Marchand warn of "digital dementia" and advocate for a "sparring partner" model of AI interaction.
Broader Impact and Implications
The implications of Marchand’s findings extend beyond the individual to the global economy. If a significant portion of the workforce experiences a decline in critical thinking and problem-solving abilities, the pace of genuine innovation could slow, even as the volume of AI-generated content increases. There is a risk of creating a "competency trap," where organizations become highly efficient at executing existing processes but lose the ability to imagine entirely new ones.
Furthermore, the "human premium" in the workforce may widen the wealth gap. Those who can master the "soft skills" of leadership and high-level strategy will remain highly compensated, while those whose roles are purely technical or administrative may find themselves displaced by AI agents.
Marchand’s work serves as a call to action for educators, managers, and individuals. To remain relevant in an AI-driven world, one must deliberately cultivate the "friction" of thought. This involves setting boundaries with technology, prioritizing human connection in management, and viewing AI not as a crutch, but as a weight to be lifted in the gym of the mind. As the boundary between human and machine intelligence continues to blur, the most successful individuals will be those who use technology to amplify their humanity, not those who allow it to replace their intellect.
