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Robotics
Business Fortune
13 February, 2026
Scaling Emotionally Intelligent Systems at Global Platforms
Her early professional work unfolded inside some of the largest consumer ecosystems in the world. At Fitbit, she helped manage lifecycle marketing infrastructure serving more than tens of millions of active users. Campaign architecture was technically precise, but its power came from emotional framing. Messaging was designed to mirror identity rather than simply deliver information.
“I learned quickly that data alone doesn’t move people. You have to turn metrics into stories that reflect identity,” Bulatov says.
The personalized “Year in Review” campaigns exemplified that philosophy. Performance analytics became narrative reflection, reinforcing loyalty by framing numbers as personal milestones rather than abstract outputs. Users saw continuity, progress, and meaning inside their data.
That storytelling model spread across the industry. Recap-style behavioral summaries are now standard across finance, wellness, and productivity applications. The expectation that analytics should feel personal has become embedded in modern product design, reflecting a broader shift toward emotionally intelligent engagement.
At StubHub, her expertise was tested under extreme conditions. When live events disappeared during the pandemic, the company faced an existential challenge: preserving community without its central product. Bulatov redesigned engagement systems to maintain belonging through interactive digital experiences while simultaneously leading a high-risk migration of the platform’s marketing infrastructure.
StubHub’s former Head of Marketing, Caroline Masterson, describes the scale of her impact: “Ms. Bulatov served as the architect of our lifecycle marketing engine during one of the most volatile periods in the company’s history.”
“She performed far beyond the expectations of a traditional marketing manager, combining deep technical mastery with strategic leadership that protected the company’s revenue and customer relationships,” Caroline adds.
At Houzz, Bulatov extended her systems thinking across a dual B2C/B2B ecosystem serving tens of millions of users. Her lifecycle architecture treated segmentation as narrative alignment rather than division. She encouraged teams to treat analytics and storytelling as co-authored disciplines, reinforcing the idea that growth infrastructure must be both technical and cultural.
A Female Voice Reshaping a Male-Dominated Field
Robotics and AI remain overwhelmingly male-led industries, particularly in visible leadership roles. Bulatov’s presence demonstrates how women can introduce a methodology grounded in empathy, behavioral insight, and cultural interpretation.
Public trust has emerged as a central challenge to AI adoption. Fear of dehumanization remains a persistent barrier. Human-centered marketing counters that fear by embedding emotional intelligence into rollout strategies, ensuring that innovation is framed as participation rather than replacement.
Bulatov approaches robotics as a cultural artifact rather than a mechanical one. She studies instinctive reactions to humanoid machines and designs systems that redirect anxiety toward curiosity.
“Humanoid robots trigger primal responses. The responsibility is deciding what emotional story we attach to that reaction.” She explains.
Her perspective signals a shift in robotics marketing toward ethical storytelling, positioning AI not as a rival to humanity, but as a collaborator within it. Female leadership in this space expands how technological futures are narrated, prioritizing inclusion, empathy, and psychological safety.
The presence of women in AI leadership also broadens the interpretive lens through which innovation is introduced. Diverse leadership changes the emotional vocabulary surrounding technology. It influences whether machines are framed as threats, tools, companions, or partners. Bulatov’s work demonstrates how narrative framing becomes a form of social architecture.
Designing UFB as a Cultural Gateway
This philosophy reached a public stage through her conceptual role in Ultimate Fighting Bots. Around late 2025, Bulatov co-conceived the early framework for UFB with robotics specialist Vitaly Bulatov. Her role was ideational rather than operational: creating an adoption architecture that could normalize embodied AI through participatory spectacle.
Independent peer recognition reinforces her authority in evaluating emerging technologies. Charlie Huang, Director of Cal Hacks, confirmed her selection as Robotics Track Organizer and Judge at one of the world’s largest student hackathons.
“Her perspective reflects an understanding that technology succeeds when it connects with human behavior,” Charlie explains.
“She brings a rare ability to assess both technical sophistication and cultural readiness in emerging technology,” he adds.
Bulatov envisioned UFB as a narrative ecosystem where humanoid robots become characters rather than threats. Spectacle becomes onboarding. Entertainment becomes emotional education.
“I saw humanoid robots moving from labs into daily life. The challenge isn’t hardware, it’s designing the emotional first impression,” she says.
Robotics research increasingly shows that playful exposure increases public comfort with AI. Entertainment contexts reduce fear and accelerate familiarity. UFB leverages that psychology by transforming robotics into a participatory culture, offering a cultural bridge that may shape how physical AI enters mainstream society.
Ethical Growth Systems for the AI Era
Bulatov’s broader contribution lies in developing ethical adoption frameworks, systems designed to generate excitement without exploiting fear, novelty, or psychological blind spots. She treats marketing not as persuasion, but as stewardship of public perception: a discipline that carries social consequences beyond quarterly metrics.
“Marketing defines how society feels about technology. That carries ethical weight,” she says.
In the AI era, that weight is increasing. Machines are no longer abstract software tools; they are visible participants in public life. The stories told about them influence whether people experience them as partners, threats, or intrusions. Bulatov argues that an adoption strategy cannot be separated from responsibility. The emotional framing of emerging technology shapes collective expectations, policy conversations, and cultural trust.
The demand for specialists capable of humanizing AI at scale continues to grow as organizations confront the limits of purely technical communication. Performance benchmarks alone do not resolve anxiety about automation. Companies increasingly recognize that narrative ethics, how technology is introduced, contextualized, and emotionally interpreted, influence adoption as much as capability itself. Growth strategy now includes responsibility for psychological impact.
Her integrated model combines behavioral economics, analytics architecture, and creative storytelling into unified systems that encourage AI companies to design cultural strategy alongside engineering. Adoption planning becomes part of ethical design rather than a post-launch correction. Instead of asking how to sell a product, the framework asks how to introduce a new presence into human environments without eroding trust.
This approach reframes marketing as cultural infrastructure. Ethical adoption systems do more than drive engagement; they establish boundaries around how excitement is generated and sustained. They reject manipulation in favor of transparency, and spectacle in favor of understanding. In a market that often rewards attention at any cost, that stance represents a deliberate shift toward long-term trust over short-term hype.
The implications extend beyond robotics. As AI systems become embedded in education, healthcare, finance, and domestic life, public perception becomes a structural variable in their success. Technologies introduced without emotional safeguards risk backlash, regulatory resistance, and social rejection. Bulatov’s framework anticipates that risk by embedding empathy into scale.
Her work suggests that the future of robotics marketing will be defined less by spectacle and more by trust-building systems that expand possibility while protecting psychological comfort. The companies that succeed will not simply build more advanced machines; they will design adoption ecosystems that make those machines feel intelligible, safe, and culturally legible. In that environment, ethical growth is no longer optional. It becomes a prerequisite for innovation itself.
Redefining Leadership in the AI Economy
Female leadership in AI expands how innovation is interpreted and introduced. Bulatov’s career demonstrates that empathy, narrative intelligence, and behavioral insight are structural requirements for the next technological era.
“Engineering builds capability. Adoption builds belonging,” she says.
From wearable ecosystems to humanoid arenas, her work shows that acceptance is engineered. It is constructed through systems that translate complexity into familiarity and invite society forward rather than forcing it.
In an economy racing toward automation, leaders who understand the psychology of trust may determine whether innovation feels alien or inevitable. Bulatov stands among the architects of that emotional infrastructure, shaping a new paradigm where robotics marketing becomes a form of cultural stewardship.
About the Author: Gauri Singh is a content contributor with experience writing business and technology-focused articles for professional audiences. Her work covers leadership profiles, operational strategy, and emerging trends across industries. Gauri has contributed to long-form editorial content designed to present complex topics in a clear, structured, and accessible way. She works closely with editorial teams to ensure accuracy, clarity, and alignment with publication standards..