Should You Build or Buy Your Company’s Talent?

Today we’re joined by Ling-Yi Tsai, a renowned HRTech expert with decades of experience helping organizations navigate transformative change. We’ll be diving deep into one of the most enduring strategic questions in talent management: whether to build talent from within or buy it from the outside. Our conversation will explore the critical resources needed for internal development, the art of creating a strong mentorship culture, and the delicate balance leaders must strike between immediate hiring needs and long-term workforce stability, especially in the face of today’s skills gap.

Research indicates that established firms with more resources often develop talent internally, while younger firms in volatile environments tend to hire from the outside. What specific resources and internal capacities are most critical for a successful “build” strategy, and how do they impact a firm’s competitiveness?

The most critical resource isn’t just financial capital; it’s human capital, specifically the availability of experienced senior staff. When we look at the data, like the study of 174 large firms over eight years, the pattern is clear: organizations rich in seasoned leaders who can coach junior employees are the ones that successfully “build.” This internal capacity creates a powerful flywheel effect. You’re not just filling a role; you’re cultivating a pipeline of talent that deeply understands your company’s culture, processes, and vision. This choice is anything but administrative—it’s a foundational strategic lever that directly shapes a company’s long-term competitive edge by fostering loyalty and institutional knowledge.

The availability of senior leaders to coach junior employees is a key factor for companies choosing to develop talent. Can you describe the practical, step-by-step process for creating a robust mentorship culture, and what metrics would you use to measure its impact on employee growth and retention?

Creating a mentorship culture from the ground up requires intentional design. First, you must secure genuine commitment from the top and formally identify your senior leaders not just as managers, but as developers of people. The next step is to create a structured framework for pairing mentors with mentees, looking beyond simple departmental lines to align on career aspirations and skill gaps. Then, and this is crucial, you must empower these relationships by allocating dedicated time and resources—it can’t be an afterthought. To measure impact, I’d look at hard metrics like the promotion velocity of mentored employees versus their peers and year-over-year retention rates for both mentors and mentees. You’d also use qualitative data from engagement surveys to see if people feel a stronger sense of belonging and career momentum.

Given that firms with unpredictable workloads often “buy” experienced talent, how can leaders balance the immediate need for external expertise with the long-term strategic risk of not developing their own staff? Please share a specific anecdote or example of how this balance can be struck.

It’s a constant tightrope walk. Younger firms or those in volatile sectors often feel they have no choice but to “buy” talent to manage unpredictable workloads. I worked with a fast-growing law firm that faced this exact dilemma. They were hiring experienced lawyers externally to handle a surge in cases, but they noticed their junior associates were leaving due to a lack of growth opportunities. The solution was a hybrid approach. For every senior external hire, they committed to creating a “sponsorship” role for an internal junior employee. The new hire was contractually obligated to mentor this junior associate on the specific case, effectively transferring their expertise in real-time. This balanced the immediate need for a seasoned expert with the long-term goal of building internal capacity, turning a short-term necessity into a strategic development opportunity.

Many companies in the 2026 job market face a skills gap, which some call a “self-inflicted” problem due to a lack of organizational agility. In what ways can a “build” talent strategy directly address this agility issue, and what is the first step a company should take?

A “build” strategy is the most direct antidote to a lack of agility. When you only “buy” talent, you’re constantly reacting to the market, chasing skills that are already in high demand. This is a lagging indicator of need. By building talent, you shift from a reactive to a proactive stance. You are actively shaping your workforce for tomorrow’s challenges, not just today’s. This develops institutional muscle memory for learning and adaptation. The very first step any company should take is a candid, forward-looking skills audit. Don’t just ask what skills you need to fill open jobs today. Ask your leaders, “What capabilities will we need to win in our market three to five years from now?” That answer becomes the blueprint for your internal development programs.

What is your forecast for the “build versus buy” talent debate?

I believe the pendulum will swing decisively toward “build” in the coming years, driven by pure necessity. The current scramble for skills, where a third of hiring managers can’t fill roles, is unsustainable. It’s a seller’s market for specialized talent, and organizations that rely solely on “buying” will be priced out or left behind. We’ll see more companies investing in sophisticated internal talent marketplaces, apprenticeships, and reskilling programs. The most competitive firms of the next decade won’t be the ones with the best recruiters; they will be the ones that are the best teachers. The debate will shift from a binary choice to a more nuanced, portfolio-based approach, but with a much heavier, strategic emphasis on building the talent they need to secure their future.

Explore more

Ethereum Plans Major Glamsterdam Upgrade for Late 2026

Ethereum developers are currently finalizing the specifications for the Glamsterdam hard fork, which represents the next major milestone in the network’s ongoing evolution toward a more scalable and efficient global computer. This upcoming transition is not merely a routine update but a comprehensive overhaul of several critical components that have defined the network since its inception. By addressing long-standing technical

How Does Databricks CustomerLake Redefine the Agentic CDP?

The landscape of customer data management is currently undergoing a seismic transformation as the traditional boundaries between storage, analysis, and execution are being dismantled by the rise of the Data Intelligence Platform. For years, enterprises have struggled with the fragmentation tax, which represents the hidden cost of moving, cleaning, and syncing customer information across dozens of disconnected marketing clouds and

KDE Releases Plasma 6.7 with Per-Screen Virtual Desktops

The sheer complexity of contemporary digital workspaces often leads to a phenomenon where users feel overwhelmed by the literal lack of physical and virtual boundaries across their hardware. For years, the traditional approach to virtual desktops treated all connected displays as a singular, unified canvas, meaning that switching a workspace on one screen would force a transition on all others

Is the Fixed-Price AI Subscription Model Sustainable?

The rapid expansion of generative artificial intelligence has fundamentally transformed the digital landscape, yet the industry remains tethered to a subscription-based pricing model that may soon prove mathematically impossible to sustain. While the initial wave of adoption was fueled by the accessibility of flat-rate subscriptions, the underlying economics of massive compute clusters suggest a growing disconnect between user fees and

Will Agentic Automation Drive EMEA’s Autonomous Enterprise?

The transition from experimental artificial intelligence to deep-seated industrial application has reached a critical inflection point where simple task execution no longer suffices for the modern enterprise. As organizations across the Europe, Middle East, and Africa region navigate the complexities of a digital-first economy, the focus is pivoting toward Agentic Process Automation to bridge the gap between human intuition and