The soft glow of her laptop screen is the only light in the room. It’s 11:43pm, and Maya, a senior machine learning engineer at a Bay Area AI lab, sits still as the quiet hum of her apartment fades into the background. The paper she just finished reading is unsettling: a new AI model capable of writing production-quality code at a level that matches, or even surpasses, many mid-senior engineers.
The soft glow of her laptop screen is the only light in the room. It’s 11:43pm, and Maya, a senior machine learning engineer at a Bay Area AI lab, sits still as the quiet hum of her apartment fades into the background. The paper she just finished reading is unsettling: a new AI model capable of writing production-quality code at a level that matches, or even surpasses, many mid-senior engineers. She closes her laptop gently, the click louder than she expected in the dark. A cold wave of silence fills the room, and she lets herself sit with the question that’s been creeping in for months: What exactly am I building toward?
In the morning, Maya will walk into her office, greet her colleagues, and dive into her work as usual. But tonight, in the privacy of her apartment, the weight of that question presses on her. She won’t mention these thoughts to anyone. In tech, especially among engineers, these fears are whispered only in the shadows — rarely voiced, often dismissed. Yet for Maya, and countless women like her, this isn’t just career anxiety. It’s something far deeper.
AI obsolescence anxiety — the fear that the very skills and expertise that have defined a woman’s career are being automated away — is a rising, urgent mental health concern in the tech industry. For women who have spent years developing technical mastery, this anxiety isn’t simply about job security; it’s an existential threat to their identity and self-worth.
In this article, we’ll explore the clinical architecture of AI obsolescence anxiety, how it uniquely affects women in tech, and offer a grounded path forward that honors both the real disruptions AI brings and the deep human need for meaning and competence.
- Reading the Paper at Midnight
- What Is AI Obsolescence Anxiety?
- The Neurobiology of Existential Threat to Competence Identity
- How AI Obsolescence Anxiety Shows Up in Driven Women in Tech
- AI Anxiety and the Identity: Why This Is Bigger Than a Career Planning Problem
- Both/And: AI Is Disrupting Your Industry AND Your Skills Are Not Worthless
- The Systemic Lens: How the Tech Industry Creates and Then Abandons the Workers It Disrupts
- What Healing Looks Like
Reading the Paper at Midnight
Maya’s experience is emblematic of a silent epidemic in tech. The industry that has long been a source of empowerment and identity for women like her is now the source of profound anxiety. For many, the late-night hours are when the fears surface most vividly — the quiet moments when the mind is free to wander through “what if” scenarios that feel both plausible and terrifying.
Her role as a machine learning engineer places her at the forefront of the very technology that threatens to automate significant portions of her work. This ironic position — being an expert in AI while simultaneously fearing its impact on her career — creates a unique psychological tension. It’s not just about job loss; it’s about witnessing firsthand the transformation of what it means to be a technical expert.
Yet Maya, like many women in tech, carries this anxiety in silence. The culture of engineering often prizes stoicism and resilience, discouraging open discussions about vulnerability or fear. This silence compounds the isolation, making it harder to seek support or even to name the experience.
Her question, “What exactly am I building toward?”, is not just about career trajectory or promotion. It’s about the meaning and value she assigns to her work and to herself. When the core of that meaning is shaken by AI’s rapid advances, the psychological ripple effects can be profound.
This is why AI obsolescence anxiety demands clinical attention that goes beyond standard career coaching or general stress management. It’s a distinct phenomenon that intersects identity, competence, and the socio-technical realities of a rapidly evolving industry.
What Is AI Obsolescence Anxiety?
To understand AI obsolescence anxiety, it’s important to distinguish it from related but different experiences like general career anxiety, imposter syndrome, or tech burnout. While these conditions may overlap, AI obsolescence anxiety has its own clinical signature.
The specific anticipatory fear that arises when a professional’s core technical competencies are demonstrably being replicated or superseded by AI systems. This anxiety is grounded in empirical reality — the threat is not imagined or unfounded, but partially accurate and evolving.
In plain terms: it’s the worry you feel when the skills you’ve spent years mastering are now things a machine can do, and you’re not sure what that means for your future.
Unlike imposter syndrome, which often involves doubting one’s abilities despite evidence of competence, AI obsolescence anxiety is rooted in a real, external change to the work landscape. Unlike burnout, which arises from chronic stress and exhaustion, this anxiety is anticipatory and existential — it’s about what the future holds for a core part of identity and livelihood.
Clinically, this presents a challenge. The anxiety is not simply a distortion or cognitive error to be corrected with reassurance. Some of the fear is valid. Roles are changing, tasks are automating, and entire job categories are shifting. The therapeutic work lies in helping women hold the complexity of this reality without tipping into catastrophizing or despair.
For women who have tied their sense of worth tightly to their technical expertise, this anxiety can feel like a threat to their very self. It’s not just, “Will I have a job?” but “Who am I if the work I do is no longer unique or valued?”
This is why clinical approaches tailored to AI obsolescence anxiety must integrate accurate threat assessment with identity work and anxiety regulation strategies. It’s also why this topic intersects with broader conversations about imposter syndrome in tech, which you can explore further in our imposter syndrome in women in tech resource.
Moreover, AI obsolescence anxiety doesn’t exist in a vacuum. It’s embedded within the culture and structure of the tech industry — an industry that often rewards relentless performance while offering little psychological safety for vulnerability. For women navigating this landscape, the stakes are even higher, as the intersection of gender dynamics and technological disruption compounds the experience.
If you’re a woman in tech grappling with these feelings, you’re not alone, and there are resources designed to support you. Our Women in Tech Resource Hub offers clinically informed support tailored to your unique challenges, including therapy and coaching options that address the complex interplay of identity, anxiety, and career evolution.
Understanding AI obsolescence anxiety is the first step toward reclaiming agency and building a sustainable, meaningful career in a world where technology is rapidly reshaping the landscape. In the next sections, we’ll explore the neurobiology behind this anxiety and how it uniquely manifests in women in tech.
For those seeking more personalized support, our therapy for women in tech and executive coaching for women in tech services are designed to help you navigate this terrain with clarity and resilience.
The Neurobiology of Existential Threat to Competence Identity
When we talk about AI obsolescence anxiety, we’re engaging with a deeply human response to a threat that feels existential — not just to a job, but to identity itself. The neuroscience and psychology behind this response reveal why this kind of anxiety can feel so overwhelming and why standard cognitive reframing often falls short.
At the heart of this experience is Terror Management Theory (TMT), developed by Jeff Greenberg, PhD, and Sheldon Solomon, PhD. TMT posits that when people become aware of existential threats — anything that challenges the systems of meaning they rely on — their psychological defenses activate to manage the terror that arises. In the context of women in tech facing AI disruption, this existential threat is the possibility that the core competency they’ve spent years mastering might be automated or replaced.
A psychological framework explaining how awareness of mortality or existential threats triggers deep anxiety and defense mechanisms aimed at preserving self-esteem and meaning.
In plain terms: When we face threats to what makes us feel important and safe — like our job or identity — our brain reacts as if our survival is at stake, even if the threat is abstract.
Neuroscience shows that the amygdala, the brain’s threat-detection center, responds to existential uncertainties in the same way it does to immediate physical dangers. This means that the anxiety triggered by the idea of AI replacing your job isn’t “just in your head” or an exaggeration — it’s a real physiological alarm system firing off. The body reacts with increased heart rate, disrupted sleep, and heightened vigilance, all of which can exacerbate the experience of anxiety.
This neural response explains why women in tech might find themselves unable to “just think positive” or “rationalize away” their fears about AI. The standard cognitive-behavioral approach that challenges distorted thoughts by emphasizing the low probability of job loss often misses the mark here. The anxiety isn’t solely about the likelihood of a job ending; it’s about the meaning of that job to the self, the threat to competence identity, and the terror that comes with imagining a future where that identity is undermined.
The clinical implication is critical: treating AI obsolescence anxiety requires approaches that address the emotional and somatic experience of existential threat, not just cognitive distortions. Techniques that integrate somatic awareness, grounding, and meaning reconstruction can be more effective than reassurance alone.
Understanding this neurobiological and psychological framework helps validate the experience of women in tech who feel this anxiety. It’s not simply “fear of change” or “career worry.” It’s a profound confrontation with a threat to the foundation of self-worth and belonging.
How AI Obsolescence Anxiety Shows Up in Driven Women in Tech
AI obsolescence anxiety manifests in distinct clinical patterns among women in tech, shaped by their roles, career histories, and personal identities. Recognizing these presentations helps tailor therapeutic interventions and support.
Here are four clinical presentations frequently encountered:
1. The Hyperfocused Engineer: This woman finds it impossible to concentrate on her current projects because her mind is consumed by the looming AI threat. The anxiety disrupts her workflow and sleep, creating a feedback loop of stress and decreased productivity.
2. The AI Pivoter: She has shifted her career focus into AI/ML, driven by fear of being left behind. Yet, the new domain triggers imposter syndrome layered atop her anxiety, compounding self-doubt despite her technical competence.
3. The Product Manager Facing Deprecation: Her product is being phased out or replaced by AI systems. She struggles to separate the professional reality of product deprecation from a personal sense of self-deprecation, leading to depressive symptoms.
4. The Intellectual Resister: This woman understands on a rational level that the risk is manageable but cannot stop the 3 a.m. spirals of anxiety. The emotional experience overrides logic, leaving her exhausted and isolated.
Vignette #1: Sarah, TPM at a Large Tech Company
Sarah is a Technical Program Manager at a major Silicon Valley firm. She has been with the company for seven years, steadily building a reputation for reliability and cross-team leadership. Today, during a routine project meeting, her manager announces that their current initiative is “being evaluated in light of LLM capabilities.” The words land like a hammer.
In that moment, Sarah’s internal translation is immediate and stark: her job is being evaluated. She feels her heart rate spike, and her hands begin to shake. While the meeting continues around her, she quietly pulls out her laptop and starts updating her resume. The familiar sense of control she cultivated over years feels suddenly fragile. The anxiety is not just about the project — it’s about her place in the company, her career trajectory, and her identity as a capable tech leader.
Sarah doesn’t voice these fears aloud. In her world, admitting vulnerability around AI disruption feels like a professional risk. Engineers and managers alike don’t talk about this kind of anxiety openly — it’s a silent burden, carried alone.
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This vignette illustrates the intersection of realistic threat and identity threat. The company’s decision to evaluate projects in light of AI capabilities is a real, structural change. But Sarah’s anxiety also reflects a deeper challenge: how to maintain a sense of worth and competence when the tools and frameworks she mastered are shifting underfoot.
Women like Sarah often face this alone because of the culture in tech, which prizes confidence and resilience and stigmatizes doubt. This dynamic exacerbates the mental health toll and can contribute to burnout.
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The specific anticipatory fear that emerges when a professional’s core technical competency is being demonstrably replicated or superseded by AI systems; the anxiety is distinguished by the fact that it is not irrational — the threat assessment has real empirical grounding.
In plain terms: It’s the fear that the skills you spent years mastering might soon be done better or faster by AI — and that this could change your job or your sense of who you are.
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For many women in tech, this anxiety layers on top of existing challenges such as imposter syndrome, which disproportionately affects women and minorities in the industry. The intersection intensifies the experience, making it harder to separate realistic concerns from internalized doubts.
If you recognize this in yourself or someone you support, know that this is a valid and increasingly common experience. It’s one reason why therapy for women in tech and executive coaching for women tech executives can be essential resources — they provide safe spaces to explore these fears and develop strategies that go beyond career advice to address identity and emotional resilience.
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This clinical landscape is complex because the anxiety is neither fully realistic nor fully irrational — it’s a “both/and” situation. The work is not to deny the disruption AI causes but to help women hold the nuanced truth of their evolving roles without collapsing into despair or denial.
By naming and understanding these patterns, we can begin to build therapeutic frameworks that honor the lived experience of women in tech confronting AI obsolescence anxiety — a necessary step toward healing and adaptation.
AI Anxiety and the Identity: Why This Is Bigger Than a Career Planning Problem
For many women in tech, the threat of AI obsolescence isn’t just a professional challenge — it’s a profound identity crisis. The core of this anxiety lies in what I call the competence identity: the fusion of self-worth with the technical skills and knowledge that have been painstakingly built over years, sometimes decades. When AI begins to replicate or surpass those skills, it shakes the foundation of identity itself.
Technical excellence often represents more than a job for women who have navigated male-dominated tech environments. It can be the very proof that they belong, that they are capable, that they have earned their place. This is not a trivial attachment. It’s a deeply rooted psychological architecture, shaped by years of overcoming systemic barriers, stereotype threat, and imposter syndrome. The anxiety triggered by AI obsolescence taps into this architecture, threatening the scaffolding that holds up a woman’s sense of adequacy and belonging.
This means that AI obsolescence anxiety often feels disproportionate to the immediate career risk. It’s not just, “Will I lose my job?” but also, “If I am no longer defined by my technical skills, who am I?” This identity threat can exacerbate existing wounds, particularly for women already grappling with imposter syndrome. The pervasive doubt about belonging and competence becomes amplified when the very skills that once offered security now feel vulnerable to automation.
The clinical implications are significant. Traditional career coaching that focuses solely on skills development or job transition may not address the deeper identity fracture. Therapy that fails to acknowledge the validity of the threat — or that tries to reassure away the anxiety as irrational — risks invalidating the lived experience of these women. The therapeutic work must hold space for the reality that some aspects of their work will change or disappear, while also supporting the reconstruction of a self-concept that is not solely tethered to technical output.
This identity disruption is not unique to AI anxiety. It resonates with the experience of women founders navigating identity after exit, or women in finance confronting burnout and the erosion of expertise over time. For women in tech, the stakes are heightened by the intersection of gendered workplace dynamics and the rapid pace of technological change. Recognizing this can open pathways toward healing that integrate both the professional and the existential dimensions of AI anxiety.
For more on how imposter syndrome layers onto AI anxiety, see Impostor Syndrome in Women in Tech. To explore the parallels with identity shifts after major career transitions, visit Tech Founder Identity After Exit.
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Both/And: AI Is Disrupting Your Industry AND Your Skills Are Not Worthless
Holding the tension between the disruptive reality of AI and the enduring value of your skills is essential. It’s tempting — and understandable — to swing between denial and catastrophic thinking. On one hand, AI is undeniably transforming technical work. On the other, women who have reached senior individual contributor or leadership roles have cultivated judgment, context awareness, communication, and relationship skills that AI cannot replicate. These are precisely the competencies that become increasingly valuable as AI automates more of the execution.
The clinical task is to help women hold both truths simultaneously:
- Yes, AI is changing the landscape. Some technical tasks will be automated. Some roles will evolve or diminish.
- Yes, your accumulated expertise and uniquely human skills remain critical. Your ability to navigate complexity, to mentor, to translate between technical and business domains, and to lead with emotional intelligence cannot be replaced by code.
This both/and framework helps dismantle the binary thinking that fuels anxiety: either “I’m doomed and worthless” or “AI is no threat to me.” Neither is fully accurate. The complexity requires nuanced appraisal.
This framework identifies skills and capacities related to, but distinct from, core technical expertise that are less vulnerable to automation and can be used for career resilience.
In plain terms: These are the things you already do or can develop that AI can’t do — like leading teams, making judgment calls, and building relationships.
Consider Maya, the senior machine learning engineer from the opening scene. Six months later, she’s been working in therapy on the identity piece — learning to separate “I am what I build” from “I am someone who builds.” In a session, she notices a shift: she’s excited about a new research direction in a way she hasn’t felt in two years. The anxiety is still there, but it no longer runs the whole show.
Maya’s experience illustrates how therapy can cultivate the capacity to hold the disruption in one hand and the enduring self-worth in the other. This is not a quick fix. It requires ongoing reflection and support, often integrating somatic work for the 3am spirals and cognitive tools for realistic threat assessment.
The systemic nature of this anxiety means that therapy alone may not be enough. Executive coaching can complement clinical work by focusing on career strategy, identity diversification, and leadership development. For women navigating these waters, combining therapy for women in tech with executive coaching for women tech executives offers a comprehensive support system.
Amy Wrzesniewski, PhD, reminds us through her research on job crafting that workers can reshape their sense of meaning when job structures change, adapting their identity in ways that preserve psychological wellbeing. This adaptive process is crucial when facing AI disruption.
The journey toward integration involves:
- Recognizing the realistic elements of AI disruption without succumbing to catastrophizing.
- Identifying and cultivating adjacent skills that AI cannot replace.
- Exploring and expanding identity beyond technical output, building new anchors of self-worth.
- Engaging with both therapeutic and career coaching resources to navigate this complex transition.
In this both/and space, women in tech can find resilience not by denying the threat or by surrendering to it, but by embracing the complexity of their evolving professional and personal identities. Maya’s story is a testament to the possibility of moving from anxiety-driven paralysis to renewed engagement and purpose.
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For further clinical insights on burnout and identity in tech, see Burnout for Women in Tech and for navigating the gendered dynamics of tech leadership, visit Glass Ceiling Trauma Response in Women in Tech.
The Systemic Lens: How the Tech Industry Creates and Then Abandons the Workers It Disrupts
AI obsolescence anxiety doesn’t happen in a vacuum. It’s embedded in a tech ecosystem that profits from rapid disruption yet leaves many of its workers, especially women, to navigate the fallout alone. This systemic dimension is crucial to understanding why AI anxiety among women in tech is not just an individual mental health issue but a structural one.
The tech industry thrives on innovation cycles that often render skills and roles obsolete with little warning. AI-driven automation accelerates this process, but organizational support for those displaced or destabilized by these changes is minimal at best. The prevailing narrative—“adapt or be left behind”—places the entire burden of career survival on the individual, ignoring the systemic forces at play. This narrative not only isolates women experiencing AI anxiety but also compounds it by framing their concerns as personal shortcomings rather than legitimate responses to structural upheaval.
Women in tech face unique challenges within this landscape. They are disproportionately represented in roles more vulnerable to automation, such as product management, UX research, and certain engineering domains that are seen as more “replaceable” by AI systems. These roles often lack the visibility and status that might afford more organizational protection or reskilling opportunities. Moreover, women frequently carry the additional cognitive and emotional labor of navigating a male-default industry, which means AI disruption piles on top of existing pressures rather than standing alone.
Age discrimination further complicates this picture. Women over 40 in tech often experience compounded anxiety because the intersection of AI obsolescence and ageism narrows their perceived career options. The tech industry’s bias toward youth and novelty means that older women may be overlooked for retraining or leadership roles even when they possess critical institutional knowledge and leadership skills. This systemic neglect fuels a sense of disposability that deepens AI-related identity threats.
Beyond structural inequities, there’s also the social cost of negotiating in tech environments. Research summarized by the Harvard Kennedy School’s Gender Action Portal highlights that women who initiate negotiations—even for career advancement or reskilling opportunities—face harsher social penalties than men. This negotiation backlash discourages women from advocating for themselves during times of disruption, reinforcing feelings of powerlessness and anxiety.
The industry’s approach to AI disruption often lacks psychological safety nets. Unlike other sectors where career transitions might be supported by unions, retraining programs, or psychological counseling, tech workers frequently receive little more than vague assurances or platitudes. This absence of systemic care exacerbates the internalization of AI anxiety as a personal failure, rather than a rational response to an unstable environment.
Finally, the gendered nature of burnout and anxiety in tech cannot be overstated. Women’s mental health in tech is shaped by the “burden of competence”—the expectation to perform flawlessly in a context that often questions their legitimacy. AI obsolescence anxiety layers on top of this burden, intensifying imposter syndrome and self-doubt. This intersection creates a feedback loop where systemic neglect feeds individual anxiety, which in turn undermines women’s ability to seek support or advocate for systemic change.
What Healing Looks Like
Healing from AI obsolescence anxiety requires a nuanced, layered approach that honors the reality of the threat without succumbing to catastrophic thinking. It’s about disentangling the realistic from the catastrophic and addressing the identity wounds beneath both.
1. Separating Realistic Threat from Catastrophizing
The first clinical task is helping women distinguish between what is likely to happen and what anxiety inflates. This is not about dismissing their concerns but about clarifying them. The realistic threat might be that some technical tasks will be automated in the next five years, while the catastrophic thought might be that their entire career and worth are erased overnight. Cognitive-behavioral strategies can help manage catastrophizing by challenging all-or-nothing thinking and fostering a more balanced appraisal.
2. Addressing the Identity Threat
The deeper, more complex work involves the identity threat—the fusion of self-worth with technical competence. For many women, this identity was forged through years of overcoming systemic barriers and proving their value in male-dominated spaces. Therapy can facilitate exploration of this identity fusion, helping clients build a self-concept that includes but is not limited to their technical skills.
One useful clinical framework is identity diversification: cultivating multiple sources of self-worth and meaning beyond technical output. This might include relationships, creativity, mentorship, advocacy, or other roles that affirm value in different ways. This process often involves grief work—mourning the loss of a singular identity while opening space for a more complex, resilient self.
3. The Adjacent Skills Framework
Therapeutically and practically, focusing on “adjacent skills” can be empowering. These are capabilities that AI cannot replicate: judgment honed by experience, contextual understanding, interpersonal communication, leadership, and systems thinking. Highlighting these skills helps clients see their continued value and potential pathways forward.
Amy Wrzesniewski, PhD, whose research on job crafting and meaning-making is highly relevant here, emphasizes that workers can reframe their relationship to work by crafting new roles or reshaping existing ones to align with evolving realities. This reframing aligns well with therapy’s identity work and can complement career coaching or executive coaching interventions.
4. Somatic Interventions for the 3am Spiral
The 3am spiral—those intrusive, relentless thoughts about AI replacing one’s job—is a common clinical presentation. Somatic approaches can be particularly effective here, as the anxiety is neurobiologically akin to a physical threat response. Grounding techniques, breath regulation, and body awareness practices help regulate the amygdala’s overactivation. These interventions support clients in shifting from a dysregulated state to one where the mind can engage more rationally.
5. Integrating Therapy and Career Coaching
AI obsolescence anxiety sits at the intersection of mental health and career development. Therapy addresses the internal, emotional, and identity-based aspects, while career coaching can provide concrete strategies for skill development, networking, and role transitions. Both are often necessary for holistic healing and forward movement.
6. Holding the Question: “Who Am I If My Technical Skills Are No Longer My Primary Value?”
This question is central and ongoing. It invites women to explore their worth beyond technical output and to build an answer they can live inside—one that is authentic, expansive, and rooted in their whole selves.
This awareness helps clinicians and clients understand why AI anxiety feels so overwhelming and why it requires more than reassurance. It demands compassionate, layered intervention that addresses the existential core.
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For a broader map of the terrain, this piece sits inside the Women in Tech Resource Hub, alongside deeper writing on burnout for women in tech, glass-ceiling trauma responses, imposter syndrome in tech, Silicon Valley executive loneliness, the difference between impostor syndrome and a toxic workplace, and complex PTSD. If you are looking for direct support, you can also read more about therapy for women in tech, executive coaching for women in tech, and the weekly Strong & Stable newsletter.
What exactly is AI obsolescence anxiety, and how is it different from general career anxiety?
AI obsolescence anxiety is a specific form of anticipatory fear that arises when a professional’s core technical skills are demonstrably being replicated or replaced by AI systems. Unlike general career anxiety, which can be vague or multifaceted, this anxiety is grounded in real, empirical changes in the industry. It’s not irrational worry—it’s a rational response to a shifting landscape, which makes it uniquely challenging to address clinically.
Why do women in tech experience AI anxiety differently than their male counterparts?
Women in tech often carry a heavier burden of imposter syndrome and have historically had to fight harder for recognition in male-default environments. This means their professional identity is often more tightly fused with their technical competence. When AI threatens those competencies, it’s not just a job risk but an existential threat to their self-worth. Additionally, women are more likely to be in roles vulnerable to automation and receive less organizational support during transitions, amplifying the anxiety.
How can I tell if my AI anxiety is realistic or if I’m catastrophizing?
Realistic threat assessment involves acknowledging that certain technical tasks may be automated, while recognizing that judgment, context, communication, and leadership skills remain valuable and less replaceable. Catastrophizing, on the other hand, is when the mind jumps to absolute conclusions—like believing your entire value will vanish imminently. Therapy can help you differentiate between these and develop a balanced perspective that neither dismisses the threat nor lets fear take over.
What role does identity play in AI obsolescence anxiety?
For many women in tech, their identity and sense of worth are deeply connected to their technical skills. This “competence identity” means that when AI threatens their skills, it can feel like a threat to their very existence. This goes beyond career planning and touches on questions of meaning and self-definition. Addressing this requires therapeutic work on identity diversification—building self-worth anchors outside of technical expertise.
Can therapy help if the AI threat is real and ongoing?
Absolutely. Therapy isn’t about telling you the threat isn’t real—it’s about helping you hold the “both/and”: recognizing the genuine disruption AI brings while also cultivating resilience, self-compassion, and a broader sense of identity. This includes techniques for managing anxiety spirals, somatic regulation, and exploring new ways to find meaning beyond technical output. Therapy complements career coaching and organizational support but addresses the deeper psychological and existential layers.
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Annie Wright is a licensed psychotherapist (LMFT #95719) and trauma-informed executive coach with over 15,000 clinical hours. She works with driven, ambitious women — including Silicon Valley leaders, physicians, and entrepreneurs — in repairing the psychological foundations beneath their impressive lives. Annie is the founder and former CEO of Evergreen Counseling, a multimillion-dollar trauma-informed therapy center she built, scaled, and successfully exited. A regular contributor to Psychology Today, her expert commentary has appeared in Forbes, Business Insider, Inc., NBC, and The Information. She is currently writing her first book with W.W. Norton.
