In an era where AI is reshaping both opportunity and risk, the hiring process has quietly become a new front line for cybersecurity. In this conversation, Avature CEO Dimitri Boylan sits down with Tosh Onishi to explore how identity, trust and talent acquisition are converging in unexpected ways. What emerges is a timely reflection on how organizations must rethink hiring as a people function, but also, increasingly importantly, as a critical layer of defense in a rapidly evolving threat landscape.

5 Key Takeaways on Tackling Candidate Fraud in Talent Acquisition:

• AI-driven candidate fraud is reshaping hiring risks, making identity verification a critical component of modern talent acquisition strategy.
• Remote work has expanded access to global talent, but also opened new vulnerabilities in digital hiring processes.
• As CVs become easier to fabricate or manipulate, traditional signals of credibility are losing reliability, pushing organizations to rethink how they assess talent.
• Strong partnerships between talent acquisition and security teams are becoming essential in combating emerging threats.
• The future of identity management in HR will extend beyond people to securing AI agents and digital actors within organizations.

Hiring in an Age of Uncertainty

As Onishi reflects on his time at Okta, one insight stands out: hiring is no longer just about finding the right person; it’s about ensuring that person is real.

The rise of sophisticated AI tools has introduced new forms of candidate fraud, from deepfake-assisted interviews to entirely fabricated professional identities. What once seemed like edge cases (candidates misrepresenting themselves or switching identities) has evolved into coordinated, high-stakes threats. In parallel, foundational hiring tools like the CV are losing their reliability as they are easily generated, optimized or entirely fabricated by AI.

For talent leaders, this changes the nature of the role. Recruitment is no longer a linear process of sourcing and selection; it’s a layered system of trust-building and risk mitigation. Onishi describes a multi-layered defense approach, from recruiter training to identity verification to in-person onboarding, highlighting how even “old-school” methods are regaining relevance in a digital-first world.

Yet the solution isn’t to shut hiring down in the name of security. Instead, it’s about balance. Talent teams must continue to create engaging, transparent candidate experiences while working closely with security counterparts to manage risk. This evolving partnership signals a broader shift in how HR functions operate within the business: less isolated, more interconnected and increasingly strategic.

Spending a few thousand dollars to verify someone in person is nothing compared to the risk of a multimillion-dollar breach.”

Tosh Onishi
Former Head of Talent Acquisition, Okta

Listen to the full episode to hear how talent leaders can navigate trust, identity and AI in a shifting hiring landscape.

In this episode of the Talent Transformation podcast, Avature CEO Dimitri Boylan sits down with Bhawna Bist to explore what happens when agentic AI moves from experimentation to operational reality in talent acquisition. Drawing on Deloitte’s latest talent trends research and her work with large global employers, Bist unpacks why TA is often the first function to adopt AI, and why that leadership role now comes with new responsibilities. The conversation moves beyond hype to examine governance, trust and the human work required when machines begin to act with greater autonomy.

5 Key Takeaways From a Deloitte MD on Agentic AI Adoption in Talent Acquisition:

• Agentic AI is reshaping talent acquisition strategy, forcing organizations to rethink not just tools, but operating models and decision-making across the TA tech stack.
• Change management is the missing link, with many organizations investing in agents while overlooking the human impact on roles, trust and adoption.
• Automation is flipping the TA value pyramid, shifting time away from transactional work toward strategic areas such as workforce planning, governance and quality of hire.
• Talent acquisition is strongly placed to lead agentic AI adoption in HR because of its data intensity, amount of manual work and long-standing investment in technology and innovation.
• Fraud and authenticity are emerging as core TA challenges, as AI empowers both employers and candidates, identity verification and risk management become critical.

Building Trust When Humans and Machines Work Together

From Bist’s perspective, the most profound shift isn’t technological, it’s organizational. As agents begin to source candidates, schedule interviews and even conduct initial screenings, the role of the recruiter evolves from executor to architect and steward. This demands new skills: understanding where automation belongs, where human judgment takes precedence and how to design governance that enables innovation while preserving trust.

The challenge is compounded by scale. Pilots are relatively straightforward; production is not. Scaling agentic AI requires leadership sponsorship, clarity on use cases and a willingness to confront uncomfortable questions about accountability and risk. For talent acquisition leaders, this moment represents both an opportunity and a responsibility: to redefine the function’s value, expand beyond traditional silos and ensure that efficiency gains don’t come at the expense of integrity or human connection.

The pyramid is really flipping, where 70% of the time would be spent in strategic areas, and the rest of the work would be automated. But that also means governance, quality of hire and fraud detection become central to the role.”

Bhawna Bist
Managing Director, HR Strategy and Technology, Deloitte

Listen to the full episode to hear Bhawna Bist and Dimitri Boylan explore how agentic AI is redefining talent acquisition, and what leaders must do to navigate the shift with confidence.

In this episode of the Talent Transformation Podcast, Avature CEO Dimitri Boylan and Georgetown professor Alberto Rossi explore what happens after the hype subsides and AI moves into the quieter, structural changes that truly reshape work. Together, they trace the boundary between augmentation and replacement, unpack the flawed logic that equates doubling productivity with halving headcount and examine why the most important capability in digital transformation may be something older than technology itself: curiosity.

5 Key Takeaways on The Future of Work

• AI’s productivity gains don’t automatically mean fewer jobs: by lowering the cost of services, technology often expands markets, intensifies competition and increases demand for innovation.
• The most effective AI use cases are rarely glamorous: repetitive, compliance-heavy tasks often deliver the clearest and fastest operational gains.
• The biggest failure point in AI adoption is workflow mismatch: tools are introduced without a real understanding of how work actually gets done.
• Business education is being forced to rethink the entry-level learning ladder as automation absorbs the “grunt work” that once built foundational professional skills.
• The future of work may bifurcate around curiosity, with those who explore and upskill accelerating forward while others drift into passive consumption and irrelevance.

Human Curiosity Will Define AI Success

Rossi returns to a deceptively simple idea: successful transformation isn’t just about adopting what’s new—it requires an honest reckoning with what once worked but no longer does. For organizations (and careers) built on accumulated expertise and hard-won experience, AI represents a profound, and often uncomfortable, paradigm shift.

Those best positioned for the future, Rossi argues, are the leaders and employees willing to examine their work at the level of individual tasks: what can be automated, what should remain human and what truly adds meaning. By taking a clear-eyed view of how work is done, organizations can redesign roles for the agentic age and surface the skills that matter most.

Employee engagement is fundamental to this process—and not only for the benefit of employees themselves. Too often, the people building AI tools don’t understand the lived reality of employee workflows, while employees don’t yet understand what the technology can and can’t do. When that gap goes unaddressed, AI doesn’t feel like augmentation; it feels like disruption for disruption’s sake. Friction turns into resentment, and the promise of speed gives way to a new kind of slowdown.

For Rossi, the deeper challenge is ultimately human. Curiosity and adaptability become strategic advantages and must be nurtured at every level of the business and ultimately guided towards serving a business aim. He warns of a widening divide between consumer-oriented AI and business-oriented AI, something that will be echoed in how users adopt and adapt to the future of work. While there are those who will use AI to learn, experiment and build, there are others who risk drifting into distraction.

Yet the opportunity is just as significant: if organizations can design learning experiences that meet people where they are and inspire them to experiment and upskill in their own personalized way, much like the best video games do, AI could be the engagement engine that enables more personalized growth and more meaningful work.

Sometimes the hard part is not adopting the new ideas—it’s letting go of the old ones.”

Alberto Rossi
Hachigian Family Professor of Finance, Georgetown University; Director, AI, Analytics and Future of Work Initiative

Listen to the full episode to hear Alberto Rossi and Dimitri Boylan explore what AI changes first—and what it makes newly possible.

The energy sector is undergoing a period of intense renewal. Tasked with solving for the rapid transition to renewables and a surge in demand brought on by AI, the industry is projected to grow by 17 percent in the coming years, and talent teams have their work cut out building workforces to meet that challenge. In this episode of The Talent Transformation Podcast, Avature CEO Dimitri Boylan speaks with Alain Proietti of Siemens Energy.

Proietti shared his experience of inheriting the talent function of a ‘97,000-employee start-up’, ill-equipped to manage a sustained surge in hiring. Seeing a TA team still tangled up in the systems and processes of the broader Siemens structure and recruiters drowning in requisitions, he set about radically revamping end-to-end hiring. Today, Siemens Energy’s TA team serves as a strategic advisor to the business, forecasting rather than firefighting, while handling 2.5 times the volume in less than half the time.

5 Key Takeaways on Elevating the Role of the Recruiter

• Right-size requisition loads to enable strategic work. Moving from 50 to ~25 reqs per recruiter created space for quality, planning and partnership.
• Use skills-based hiring to tap into adjacent markets. From automotive engineers to precision-skilled workers (including hairdressers!), identifying alternative sources for talent pipelines is essential.
• Make workforce planning continuous, not annual. Regular, data-backed check-ins help correct course and align with business realities.
• Segment TA roles for focus and consistency. Splitting admin, sourcing and strategic advisory raised productivity and improved candidate and HM experience.
• Apply AI to streamline and standardize. Automation boosts consistency, job description quality and interview prep while reducing manual load.

From Reactive Recruiting to Strategic Talent Acquisition

What stands out about Proietti’s approach is that when faced with surging demand, he opted against simply adding more recruiters and instead focused on building strategic resilience.

Much of that resilience comes from seeing TA as a system rather than a series of transactions: designing specialized roles, building pipelines by job family, creating market maps for scarce or diverse talent, and preparing hiring managers with real data. Continuous workforce planning informed by attrition trends, internal mobility patterns and realistic market availability became central to shifting TA into the role of strategic partner to the business.

Overlaying all of this is the accelerating impact of AI. For Proietti, AI is not about reducing TA teams but enabling them to keep pace in a sector where demand outstrips talent supply. Better interview guides, consistent job descriptions and automated administrative workflows free TA teams to focus on what matters most: advising the business, cultivating diverse talent pools and improving the human experience at the center of recruitment.

You understand that you have to have a process with no waste. You’re starting to do 20,000 hires a year, it needs to be streamlined as much as possible.”

Alain Proietti
Global Head of Talent Acquisition, Siemens Energy

To explore in detail how Siemens Energy is reimagining talent acquisition amid surging demand, listen to the full episode of The Talent Transformation Podcast.

IBM is on a mission to become the most productive company in the world, delivering $3.5 billion in increased efficiency in just two years. And fresh from a further billion added in 2025. IBM’s Jon Lester sat down with Avature CEO Dimitri Boylan to discuss its HR team becoming “Client Zero” of the transition to a true enterprise-wide AI-human hybrid working model and what that means in practice for skills and the future of work.

5 Key Takeaways on IBM’s AI-First Productivity Strategy

• Productivity acceleration comes from HR focusing on outcomes, not tools.
  IBM exceeded its original $2B productivity target by reframing transformation around problem-solving, learning quickly and eliminating busywork.
• Standardization enabled IBM’s shift from a federated HR model to one of a consistent, fast-moving organization.
  Consolidating platforms and processes created the foundation for speed and consistent employee experiences worldwide.
• AI as HR’s new front door reduced support tickets by 75% while deepening employee engagement.
  The evolution of IBM’s Ask HR service — from a curated chatbot to a generative AI agent — streamlined transactions and opened a powerful feedback loop with IBMers.
• Sound enterprise AI requires context, guardrails and new governance practices.
  IBM’s Gen AI approach centers on single sign-on context, strict filters and keen human oversight.
• IBM is preparing for a hybrid human–AI workforce and building a new skills ontology to support it.
  Future operating models will rely on agents performing some tasks autonomously while humans refine the judgment and governance skills to guide them. Employees are being guided by a 10-step process, equipped with prompt libraries and training plans that will scale through HR and beyond.

Designing a Hybrid Human–AI Workforce

Underneath the technology, IBM’s transformation is about HR’s evolving relevance and its willingness to learn. By treating IBM’s HR function as “Client Zero,” Lester’s team shows how digital transformation, driven by the tenets of process simplification, employee feedback and responsible AI automation, can achieve speed and accuracy while setting an example of how AI will shape the future of work.

As generative AI accelerates, IBM is redefining roles, rethinking skills and constructing a hybrid operating model where agents perform increasingly complex tasks, and humans shift their attention to refining and stewarding the system to meet their desired outcomes. It’s a new frontier without a ready-made roadmap. By embracing experimentation, building strong partnerships between HR, the CIO and external vendors, and being transparent with employees about the journey, IBM is taking practical steps towards an AI-human hybrid future and inviting others to follow.

Gen AI and agents are a whole different world. It’s not an evolution anymore—it’s a jump. You have to stop, reinvent yourself and rethink how work gets done.”

Jon Lester
Vice President of HR Technology, Data and Artificial Intelligence, IBM

Watch the full episode to hear Jon and Dimitri explore IBM’s AI-first HR strategy, global operating model and the future of hybrid human–AI work.

What happens when the world’s most influential professional network becomes the employer? In the season finale of The Talent Transformation Podcast, Avature CEO Dimitri Boylan speaks with Jennifer Shappley about her time shaping LinkedIn’s talent strategy, and what it taught her about retention, skills and leadership in an era defined by uncertainty. Their conversation explores why AI has created a “vague imperative” for HR, why integrated talent strategies are harder than ever and why optimism about human creativity still matters.

5 Key Takeaways from an ex-LinkedIn Talent Leader on Talent Strategy and AI

• LinkedIn talent strategy treats acquisition, development and retention as one system, not disconnected levers.
• Retention is shaped long before day one, and overpromising during hiring creates long-term risk in competitive markets.
• Integrated workforce planning is a guiding light, not a fixed destination, especially in volatile talent landscapes.
• AI adoption requires a point of view, not performative action driven by external pressure.
• Skills strategies only work when grounded in tasks and proficiency, not abstract taxonomies.

Why Talent Strategy Breaks When AI Becomes Performative

Shappley describes the pressure many HR leaders now feel as the “vague imperative” of AI — the sense that they must do something with AI, even when the purpose is unclear. In Silicon Valley, where innovation itself is part of the brand, that pressure is amplified. Her response has been deliberate curiosity: using AI regularly, experimenting thoughtfully and forming a clear opinion about where it adds value and where it does not.

That discipline shaped LinkedIn’s approach to talent. Rather than chasing perfect, multi-year workforce plans, Shappley frames strategy as directional rather than deterministic. The rapid evolution of AI makes it impossible to define future roles with certainty, but it makes it essential to understand the tasks that comprise them. By focusing on skills, proficiency and how work is actually done, talent teams can remain adaptive without pretending they can predict the future.

Throughout the conversation, one belief remains constant: technology will change roles, but it will not replace human creativity, judgment or responsibility. AI can increase efficiency, but differentiation still comes from how organizations design experiences, tell honest stories and help people grow. In that sense, LinkedIn’s talent strategy was never about tools, it was about maintaining coherence between what the company promised and what employees experienced.

I never want to feel pressure to use AI without having a strong point of view on where it should and shouldn’t be used.”

Jennifer Shappley
Former Vice President of Talent, LinkedIn

Listen to the full episode of The Talent Transformation Podcast to hear Jennifer Shappley share hard-won insights from building LinkedIn’s talent strategy during a period of profound change.

BMC Software may operate largely behind the scenes, but its technology underpins some of the world’s most critical infrastructure. That same long-term mindset shapes how the company approaches talent. In this episode of The Talent Transformation Podcast, Avature CEO Dimitri Boylan sits down with Jen Corio at Avature Upfront EU in London to explore how BMC is evolving talent acquisition from a hiring function into a strategic partner focused as much on future capability as on present demand.

5 Key Takeaways from BMC HR Leaders on the Future of Talent Acquisition

• Talent acquisition earns its seat at the table by shaping business decisions, not simply responding to requisitions.
• Workforce planning must account for emerging and legacy skills simultaneously, especially in complex technology environments.
• Exact-match hiring limits progress, while skills adjacency expands opportunity and resilience.
• AI can enhance recruiting efficiency without replacing human judgment when teams are supported to understand and use it well.
• Authentic storytelling is a retention strategy, not just an attraction tactic.

Why Strategic Talent Acquisition Looks Beyond Hiring

For Corio, talent acquisition at BMC is inseparable from business strategy. Her team’s role extends beyond filling roles to advising leaders on what’s realistically possible in the market today and tomorrow. Whether the organization is entering a new space or scaling an existing one, the first question remains consistent: Is the talent there, and if not, how do we build it?

That challenge is particularly acute in areas where emerging technologies intersect with legacy systems. Corio points to the example of mainframe expertise combined with AI and machine learning, a skill set that exists in extremely limited supply. Rather than chasing a handful of perfect profiles, BMC widens the lens, investing in upskilling and early-career pipelines while partnering with universities to prepare future talent before shortages become critical.

Technology plays a supporting role in this evolution, but Corio is clear-eyed about its limits. AI can streamline workflows and free recruiters to focus on relationships, but it cannot replace curiosity, judgment or trust. That’s why BMC emphasizes continuous learning for its recruiters, helping them understand AI rather than fear it, and why storytelling remains central. When the story told during hiring aligns with the lived reality inside the organization, candidates don’t just accept offers; they stay.

If you’re looking for an exact match, there might be only three people in the world. But the talent pool expands significantly if you’re willing to compromise a little.”

Jen Corio
Director of Talent Acquisition, BMC

Listen to the full episode of The Talent Transformation Podcast to hear how BMC is aligning talent acquisition with long-term business strategy, emerging skills, and human-centered recruiting.

As AI rapidly reshapes how organizations hire, engage and develop people, HR leaders are being asked to move faster than ever, often without clear ethical playbooks. In this episode of The Talent Transformation Podcast, Avature CEO Dimitri Boylan speaks with Dr. Yi-Chieh (EJ) Lee to explore what responsible AI really means in practice. Drawing on academic research and real-world use cases, Lee offers grounded guidance on how HR can adopt AI thoughtfully, protect trust, and lead with intention in an era defined by generative AI in HR.

5 Key Takeaways from Dr. EJ Lee on Responsible AI in HR

• Responsible AI starts with design choices, not post-deployment policies or compliance checklists.
• The impact of conversational AI lies in psychological safety, enabling more candid employee disclosure than traditional surveys.
• Implementing responsible AI in HR depends on context, including culture, generation and use case.
• Generative AI in HR shifts responsibility, not just productivity, raising new questions about authorship, learning and skill development.
• AI literacy is now a core HR capability, enabling employees to co-create with AI rather than rely on it uncritically.

Why Responsible AI Is a Leadership Issue, Not a Technology One

Lee’s research highlights a paradox at the heart of AI in HR: the tools that create the most value can also expose the greatest risk. Conversational AI, for example, often encourages users to share more openly, particularly around sensitive topics like mental health, burnout or trust. This creates unprecedented insight, but also profound responsibility. When AI invites vulnerability, organizations must decide how that data is used, protected and governed.

That responsibility becomes even more complex in global, multigenerational workplaces. Lee’s findings show that employees in different cultures perceive AI differently — as a tool in some contexts, a companion in others. Older and younger workers also engage with AI in distinct ways. For HR leaders, this means responsible AI cannot be one-size-fits-all. Ethical implementation requires intentional design, clear guardrails and continuous education so employees understand not just how to use AI, but when to question it.

As generative AI becomes a collaborator rather than a tool, HR’s role expands again. Lee cautions that over-reliance on AI risks eroding foundational skills if learning is outsourced rather than augmented. At the same time, when used well, AI can democratize capability, helping non-native speakers, accelerating analysis and freeing humans to focus on judgment and creativity. The difference lies in how organizations frame responsibility. In Lee’s words, responsible AI is not about slowing down innovation, but about ensuring humans remain accountable for the outcomes they co-create.

When people disclose more to AI, that creates opportunity, but it also creates responsibility.”

Dr. Yi-Chieh Lee
Assistant Professor, National University of Singapore

Listen to the full episode of The Talent Transformation Podcast to hear Dr. EJ Lee share practical, research-backed guidance on responsible AI, conversational systems, and the future of generative AI in HR.

What does it take to hire when the skills you need barely exist — or are scattered across the globe? In this episode of The Talent Transformation Podcast, Avature CEO Dimitri Boylan speaks with Mark Wilson about talent strategy at the sharpest edge of scarcity. Drawing on experience spanning Formula One and global defense, Wilson shares how agile workforce planning, data-driven recruiting, and unconventional sourcing models have become essential for organizations operating where failure is not an option.

5 Key Takeaways from Mark Wilson on Talent Scarcity and Workforce Planning

• Agile workforce planning is critical when demand outpaces supply, especially for niche and safety-critical skills.
• Elite brands don’t eliminate hiring challenges, and in the world of Formula One, hiring strategy often involves managing volume without diluting experience.
• Strategies to overcome talent scarcity require global reach, including unconventional sourcing and relocation models.
• Data-driven recruiting enables better expectation-setting, helping leaders understand what the market can realistically deliver.
• Global defense hiring tactics demand alignment across HR, finance and operations, where cost, speed and risk must be balanced.

Why Talent Scarcity Demands a Different Kind of Strategy

Wilson’s career illustrates a hard truth many organizations are now confronting: scarcity cannot be solved by attraction alone. At McLaren, prestige created overwhelming applicant volume, but not an abundance of the niche skills required to compete at the highest level. In defense, the challenge was more acute still, rebuilding capability after decades of underinvestment meant competing globally for welders and engineers essential to national security. In both cases, innovative hiring strategies replaced traditional pipelines.

What enabled progress was agile workforce planning grounded in data. By mapping where skills actually existed across industries and geographies, Wilson reframed conversations with business leaders around feasibility rather than aspiration. This data-driven recruiting approach made it possible to justify unconventional decisions, from international relocation to long-term capability building and to align stakeholders around realistic trade-offs.

From Formula One to global defense, the lesson is consistent: talent acquisition must operate as a strategic advisory function. When markets are tight and stakes are high, success depends on insight, agility and the willingness to challenge assumptions, not just fill roles.

You’re trying to do something in a changing environment, often where the local market simply can’t provide what the business needs.”

Mark Wilson
Global Talent Acquisition Leader

Listen to the full episode of The Talent Transformation Podcast to hear how Mark Wilson applies agile workforce planning and data-driven recruiting to overcome talent scarcity in the world’s most demanding industries.

What does it take to recruit at the scale of a global airline with over three million applicants a year? In this episode of The Talent Transformation Podcast, Avature CEO Dimitri Boylan speaks with Andrew Dennan, Head of Volume Recruitment at Emirates, about how the airline is reimagining talent acquisition in the age of AI. From rethinking hiring funnels and gaining executive buy-in to turning data into meaningful action, Andrew shares why the secret to transformation lies not in chasing every shiny new tool, but in doing the basics better and smarter.

5 Key Takeaways from Emirates on AI and Talent Strategy

• AI delivers early value in high-volume recruitment, where scale creates the data density needed for meaningful insight.
• Talent acquisition must operate as a strategic enabler, not a downstream execution function.
• There is no imperative to have a complete AI vision today, but falling out of the conversation carries real risk.
• Sustainable digital transformation depends on fundamentals, including data quality, collaboration and change management.
• Skills-based thinking will redefine careers, replacing linear ladders with more fluid, opportunity-driven pathways.

Why Emirates Is Taking the Long View on AI

For Dennan, the opportunity with AI is not about speed alone, but about signal. In a high-volume environment like Emirates, where millions of applications generate rich data, AI’s real value lies in uncovering patterns that inform better decisions over time. Rather than chasing premature breakthroughs, the focus is on building foundations that allow insight, foresight and strategic workforce planning to mature responsibly.

That same discipline shapes Emirates’ broader approach to digital transformation. By aligning HR, IT, product and business leaders early — and involving end users throughout — the organization avoids short-term fixes in favor of systems that can evolve. In a world where skills, roles, and expectations are constantly shifting, taking a long-haul approach is not caution; it’s strategy.

You don’t need to have all the answers yet — but you do need to be in the conversation.”

Andrew Dennan
Head of Volume Recruitment, Emirates

Listen to the full episode of The Talent Transformation Podcast to hear how Emirates is navigating AI, skills, and digital transformation with long-term intent.

What does it take to reinvent yourself when the rules keep changing? In this special episode of The Talent Transformation Podcast, Avature CEO Dimitri Boylan sits down with Chloe Dalton following her keynote at Avature Upfront APAC 2025. From elite sport to entrepreneurship, Dalton’s journey offers striking parallels for HR leaders navigating AI disruption, uncertainty and the growing demand for adaptability. At its core, the conversation is about curiosity — and why the willingness to start again may be the most valuable leadership trait of all.

5 Key Takeaways from Chloe Dalton on Leadership and Reinvention

• Reinvention begins with curiosity, not certainty, and requires comfort with being a beginner again.
• Trusting the learning process matters more than immediate results, especially in unfamiliar territory.
• Resilience is built through repeated discomfort, not linear success.
• Structural barriers limit potential more than individual capability, whether in sport or the workplace.
• Sustainable change requires systems, not just support, to unlock opportunity at scale.

Why Curiosity Is a Leadership Advantage

Dalton’s career is defined by bold transitions. After establishing herself as a professional basketball player, she made the terrifying decision to walk away and pursue rugby sevens, a sport she had never played, driven solely by curiosity and a belief in her ability to learn. The risk was immense, and the doubts were real, but her mindset remained steady: she trusted that consistent effort would carry her forward, even without guarantees.

That same curiosity became her anchor through every reinvention that followed, from rugby to Australian rules football, and later into entrepreneurship. Dalton speaks openly about embracing the discomfort of not knowing, describing curiosity as the tool that transforms fear into momentum. It’s a perspective that resonates far beyond sport, particularly for leaders navigating unfamiliar terrain shaped by AI, new technologies and shifting expectations.

Yet Dalton is equally clear that mindset alone is not enough. Her story also exposes the limits imposed by structural inequality: limited pathways, inadequate pay and the absence of visible role models for women in sport. Support networks mattered, but they could not compensate for systems that were never designed to enable long-term success. The lesson for organizations is stark: real progress demands structural change, not just encouragement.

That insight ultimately led Dalton to found The [Female] Athlete Project, focusing intentionally on one lever of change: visibility. By telling the stories of women who succeed despite the odds, she aims to expand what feels possible for the next generation. It’s a reminder that leadership today is not about having all the answers, but about choosing where to act, learning in public and staying open to evolution.

I had so much faith in knowing myself that as long as I kept learning and working, I was going to be okay.”

Chloe Dalton
Olympic Gold Medallist and Founder of The [Female] Athlete Project

Listen to the full episode of The Talent Transformation Podcast to hear Chloe Dalton reflect on curiosity, reinvention, and what it takes to lead through uncertainty.

As organizations expand across borders, global consistency is often the goal, but local relevance is what determines success on the ground. In this episode of The Talent Transformation Podcast, Avature CEO Dimitri Boylan speaks with Stephanie Edwards about how Hudson RPO helps organizations navigate global recruiting strategy without falling into the trap of one-size-fits-all execution, and why localizing global recruitment is now a strategic necessity, not a tactical choice.

5 Key Takeaways from Hudson RPO HR Innovator on Global Staffing Strategy

• An effective staffing strategy starts with local market reality, not global assumptions applied uniformly.
• A global recruiting strategy must be designed to accommodate variation, especially across regions with distinct cultural, regulatory, and candidate dynamics.
• Localizing global recruitment is essential for adoption, ensuring recruiters and candidates engage through the channels that matter most in each market.
• HR technology for staffing must enable flexibility at scale, supporting enterprise alignment while allowing regional customization.
• Talent strategies must continuously adapt, as candidate behavior, technology, and workforce models evolve in parallel.

Getting Global Staffing Right

Edwards’ perspective highlights a recurring failure point in global staffing initiatives: treating local differences as exceptions rather than foundational design inputs. Markets that may appear similar from a distance often operate under fundamentally different conditions — from preferred communication platforms to leadership norms and candidate expectations. When organizations impose rigid global models in these contexts, adoption suffers and systems lose credibility.

Hudson RPO’s approach prioritizes coherence over uniformity. A successful global recruiting strategy establishes shared principles while empowering regional teams to adapt execution to their markets. This is where HR technology for staffing becomes decisive. Platforms that allow enterprise standards, regional configuration and user-level flexibility within a single ecosystem make it possible to localize global recruitment without fragmenting data, governance or insight. In that balance, staffing strategy shifts from a constraint into a competitive advantage.

A very cookie-cutter approach to a global solution will just not work.”

Stephanie Edwards
Chief Digital Officer and Global Head of Enterprise Solutions, Hudson RPO

Listen to the full episode of The Talent Transformation Podcast to hear how Hudson RPO is rethinking staffing strategy through flexible global recruiting models and locally informed execution.