At 40, You’re Already Out to Pasture: Why Corporate America Wants “Tasha,” Not “Baxter”
On October 2nd, I picked up a physical copy of Ace Combat 8: Wings of Theve for the PlayStation 5 (yes, a physical copy because when I buy something, I want to own it). I don’t play video games anymore, but the nostalgia hit when I saw some of the trailers. I hadn’t played an Ace Combat game since the PlayStation 2, when I played AC4. This looked like a perfect case of sticking to a tried-and-true recipe with current-gen graphics and themes.
When Bandai Namco released Ace Combat 8, video game enthusiasts were introduced to a dynamic central squad element: Baxter, a 40-year-old fighter pilot, with the callsign "Professor." Across the campaign narrative, Baxter is consistently treated as an elder; a veteran whose operational timeline is drawing to a close, even musing about retiring with grandkids…at age 40. Now, it is completely possible for people to be grandparents at 41, but Baxter often muses about how the younger squad members treat him like a grandfather and about how he would like to see one of those young wing mates settle down, get married, have twins, as he sits by a fire and tends to his chronic backpain. That wing mate he is referring to is Tasha, a younger wing mate who embodies raw adaptability, high energy, a rebellious nature, and the unburdened potential of early-career promise.
While this contrast creates compelling narrative friction in fiction (how’s that alliteration?), it highlights a stark reality in the modern labor market. At age 40, Baxter is framed as a relic that is literally decomposing with age, while Tasha represents the resilient, pliable, shiny new candidate that recruiters are racing to hire. Recruiters are looking to put the Baxters of the job world to pasture, and are racing to get Tasha. In a way, recruiters are obsessed with “waifus.”
In corporate hiring pipelines, particularly for entry-to-mid-level roles, age 40 has evolved into an invisible barrier where experienced candidates are quietly filtered out long before reaching an interview. Much of this has accelerated in the last 6 years with the proliferation of shelf-ready AI, both for commercial and private use, whereby companies’ first prerogative with employee replacement was middle management; employees that cost slightly more than entry-level and are less pliable and may expect more reciprocation for the time and effort they’ve invested.
To the complete dismay and displeasure of corporations, under federal law, the threshold for age discrimination is precise. The Age Discrimination in Employment Act (ADEA) explicitly protects individuals aged 40 and older from employment discrimination based on age (United States, Equal Employment Opportunity Commission).
Yet, in practical application, hitting age 40 often triggers an implicit tax in recruitment algorithms. When mid-career professionals apply for lateral growth roles or attempt cross-industry pivots, automated applicant tracking systems (ATS) routinely flag them as "overqualified" or lacking "cultural fit." This assists companies with avoiding legal liability for discrimination and it removes the human element from HR and recruiting from a situation that could develop into a legal entanglement. In a sad, twisted job market, a sadder, more twisted paradigm is developing, whereby the modern recruitment apparatus has constructed a false dichotomy: it views seasoned candidates as fixed cost liabilities rather than institutional anchors.
If you read the last issue of the TCOIA Round Table, you remember we ran a small simulation, where we showed you what recruiters would think of the new cast of The Grand Tour when using ATS, versus the actual value that executive producer, Andy Wilman, saw in the new cast members. Let’s try that again with Baxter and Tasha.
Ellington Baxter “Professor” (Age 41 / Mid-Career)
Modern Recruiter Perception: High compensation demands, set in ways, flight risk, lacks digital agility, potential health liability due to his constant back issues.
Operational Reality: Proven crisis resilience, institutional wisdom, high retention stability, understanding of corporate legacy and processes, can help bridge gaps between incumbent employees and new recruits.
Anastasia “Tasha” Severskaya (Early-Career Candidate)
Modern Recruiter Perception: Highly moldable, cost-effective, long runway, inherent digital native, young, inexpensive to retain at current level.
Operational Reality: High initial turnover risk, requires significant onboarding resource investment, may not understand corporate legacy and processes, impression from social media platforms influences a default disenfranchisement with corporate culture, legacy, and practices.
While early-career talent offers immediate adaptability and low-cost that boarders minimum wage, excluding mid-career professionals deprives teams of critical problem-solving capabilities honed through real-world experience.
Empirical research reveals that age bias does not operate in a vacuum. It intersects sharply with gender and physical attractiveness, creating distinct evaluator dynamics among both male and female hiring authorities.
The Gendered Age Penalty
Data from large-scale field experiments, such as National Bureau of Economic Research (NBER) correspondence studies led by Dr. David Neumark, demonstrate that age discrimination hits female job applicants far earlier and more severely than male applicants. While men face a gradual decline in callback rates past age 40, women experience a sharp "gendered age drop-off," with callback rates falling up to 25% to 46% lower for female applicants, as soon as they reach age 40, compared to younger female counterparts with identical skill sets (Neumark et al.). Either the ATS is an incredibly ageist system, or the sick-minded individuals who program it are trying to tell the world how they feel. Or perhaps, the two are not mutually exclusive.
The "Beauty Premium" vs. The "Beauty Penalty"
The evaluation of early-career candidates, like "Tasha," is further complicated by physical attractiveness biases. For general or client-facing entry positions, physically attractive young women often receive higher initial callback rates; a well-documented "what is beautiful is good" heuristic (Cash and Kilcullen). This is a direct indicator that human recruiting bias is unequivocally still a factor in candidate bias (sorry recruiters and hiring teams, you can’t blame this one on ATS/AI facial recognition).
On the other hand, classic organizational research by Heilman and Saruwatari shows that when young, attractive women apply for highly technical, analytical, or managerial roles, both male and female evaluators often penalize them. Under the "Lack of Fit" model, evaluators unconsciously associate femininity and physical beauty with a lack of competence, agency, or seriousness, penalizing attractive female applicants for roles stereotyped as analytical or high-risk. In Ace Combat 8, the monologue of the former wingleader of the main squad, Jan Cope, often tells you, the player, to be skeptical of Tasha’s skill and to watch out for her inability to follow directions. Cope hadn’t really spent much time training Tasha and actually learns her potential as you work more closely with the squad after his time “expires” (no spoiler alerts, here). This applies in the corporate workplace, as well.
Male recruiters and peers are empirically more likely to attribute authority, stability, and executive presence to older male applicants ("the Baxter archetype") than to older female applicants, viewing a man's graying hair as a marker of experience while viewing an older woman's age as a loss of adaptability.
Studies on interview panel behavior indicate that both male and female evaluators apply stricter standards of emotional restraint and warm competence when judging younger female candidates, while treating mid-career male applicants with greater baseline benefit of the doubt regarding technical competence (Brescoll and Uhlmann).
The Economic Cost of Algorithmic Bias
Research demonstrates that workforce age bias is widespread and financially costly. Over 6 million workers aged 40 and older report feeling age discrimination directly, with 50% actively fearing their age represents a primary hurdle in securing new employment (National Skills Coalition; SeniorLiving.org). According to data published by AARP, nearly 60% of older workers report experiencing or observing subtle age discrimination in hiring and promotion practices (Perron; AARP Research). AARP also estimates that systemic age bias and the premature exclusion of experienced talent cost the United States economy approximately $850 billion annually in lost productivity and suppressed earning potential (Axios).
The Council on Interdisciplinary Advancement (TCOIA) performs outreach to companies and recruiters and advocates for replacing keyword-based automated screening and using ATS with hands-on evaluation models. To address generational imbalances in hiring pipelines, organizations should consider three strategic changes:
Evaluate Capacity Over Chronology: Assess candidates based on cognitive flexibility, emotional intelligence, liquid and crystallized intelligence testing, and cross-sector problem solving rather than graduation dates.
Build Synergistic Squad Dynamics: Rather than choosing between a “Baxter” or a “Tasha,” find ways to pair them to achieve the best team synergy. Baxter can be “The Professor” and mentor her to share knowledge, while Tasha can introduce and implement energy, a fresh, new perspective, and new technological skills. Combining seasoned operational wisdom with early-career agility yields higher productivity and lower error rates as well as lower attrition.
Audit Algorithmic Filters (ATS): Remove automated parameters that penalize long-tenured career histories or non-linear background trajectories. And, for crying out loud, remove blatant age discrimination parameters, for starters.
Disregarding experienced professionals at age 40 deprives organizations of operational resilience and, arguably more importantly, a soul. True organizational advancement requires recognizing that experience is an asset, not an expiration date, and that people are human.