Explore the latest trends

For decades, HR technology has focused on recording the workforce an organization has today. But AI, changing skills and increasingly dynamic work are creating a different set of questions. David Wilkins explores why a new layer of workforce technology is emerging, one built to continuously model, redesign and plan the combination of people, skills, work and technology organizations will need next.

Roche is bringing external competitive intelligence together with internal workforce data to build a more complete view of its talent landscape. From location and skills decisions to identifying emerging talent risks, discover how Roche is embedding external market context into workforce and business strategy.

TalentNeuron presents a first-of-its-kind asset that uses labor market intelligence to uncover the impact of AI investment at several large enterprises.

AI is making it easier than ever to redesign jobs. But defining the new role is the easy part. The real challenge is what happens next — from reskilling and mobility to workforce planning, compensation and hiring. Discover why job redesign needs a connected Workforce Intelligence approach to move from recommendation to execution.

HR knows work is changing. The harder question is what’s preventing the function from changing with it. Drawing on more than 120 responses from HR and workforce leaders, David Wilkins explores seven barriers to transformation — from leadership and work decomposition to the analytical tax, human judgment and continuous workforce planning — and what HR can do about each one.

As AI reshapes how work gets done, HR is being asked to guide decisions about roles, skills, automation and workforce design. But has HR applied the same thinking to its own function? David Wilkins explores why HR needs to become its own transformation test case — and build the Work Architecture capability to lead what comes next.

Organizations have more workforce data and technology than ever, yet their systems still define roles, tasks and skills differently. David Wilkins argues that the missing piece isn’t another application, but a shared Work Architecture — a common semantic foundation that allows workforce systems, business planning and AI to reason from the same understanding of work.

The workforce is no longer entirely human. AI agents are already taking on meaningful tasks across organizations, yet most workforce plans account only for people. David Wilkins explores what it means to plan for a hybrid workforce — modeling humans and AI together across cost, capacity, skills, ownership and automation exposure.

Automation doesn’t just change individual tasks. It triggers a chain reaction across work design, job architecture, skills, workforce planning and organizational structure. David Wilkins explores why managing these changes through disconnected systems creates unnecessary complexity — and why a unified Workforce Intelligence approach is becoming essential.

Roles, skills and tasks are deeply connected, yet in most HR organizations they are owned by different teams — or, in the case of tasks, by no one at all. David Wilkins explores why automation is making this fragmented model unsustainable, and why the next HR operating model needs to bring Work Architecture, work redesign and Strategic Workforce Planning together to turn workforce intelligence into action.

Investment in automation in itself does not change a business. A dashboard showing that 30% of a role could theoretically be automated does not reduce cost. A report showing that a process has AI potential does not improve customer satisfaction. A heatmap showing automation exposure does not create innovation.

Work is changing faster than organizations can keep up. TalentNeuron’s Organizational Design gives leaders a way to model, test, and optimize workforce decisions before implementation.

To successfully gain the productive advantages of AI and automation, leaders must shift from viewing technology as a simple efficiency tool to seeing it as a strategic partner that elevates human potential. This requires a structured, data-driven approach to workforce planning.

To help leaders navigate current talent and future business needs, TalentNeuron's Workforce Transformation Master Class breaks down the framework for moving from reactive planning to proactive execution.

Here is the good news: No job and no human is 100% automatable, but plenty of tasks are. 2026 is the year that automation transformation starts to take shape and organizations begin embracing that reality with a structured, planful approach.

The fundamental challenge facing HR leaders today is that traditional design methods treat the organization like a fixed blueprint — not a living system that can change and evolve.

The rapid evolution of work demands a new kind of HR professional: One who uses data to predict trends, drive strategic workforce planning (SWP), and actively shape the future of the organization.

Traditional, manual updates to job architecture are no longer sustainable in dynamic labor markets where the lifespan of an in-demand skill is constantly shrinking. The solution is a strategic, data-driven job and skill architecture.

Organizational design and modeling are often used interchangeably despite their different purposes. Here's a closer look at the definitions, use cases, and how these approaches work better together.

To stay agile and competitive, organizations must explore current market and talent trends and plan for future-oriented skills that will be critical to workforce planning and transformation.

Creating an accurate HR demand forecast isn’t a matter of gut instinct and guesswork — it’s about having comprehensive data and insights drive workforce planning and transformation.

Insights and examples for using data-driven solutions to diagnose your workforce situation, boost your talent strategies, and protect against competitors.

Explore how predictive AI delivers actionable labor market insights, identifies critical skill gaps, and manages data-driven workforce planning strategies.

How geopolitical shifts, AI advancements, talent shortages, and more will be pivotal for workforce transformation in 2025.

Learn how Gen Z’s priorities are reshaping the workplace and what companies can do to connect with this new generation of employees.

The oil and energy industry is undergoing efforts to balance traditional activities with the growing imperative to transition to cleaner energy sources. But what does this mean for the workforces at oil and energy companies?

The shipbuilding industry, a cornerstone of global trade and maritime safety, navigates a sea of challenges and transformations. Here's a closer look at the data-backed trends impacting workforces.

Nowadays, a career isn’t necessarily for life. That's why more organizations need to consider careful career pathing to ensure the future of their workforces and the overall business.

Discover how technology and automation is transforming electrical manufacturing and its future trends.

Discover how data can help resolve six skill challenges and adapt succession plans for future organizational needs.

A quick look at why planning for a multigenerational workforce is important, the challenges and benefits it brings, and how to strategize using data.

Planning for the future is critical for organizations, but it's also complicated. Here's a quick guide to workforce planning, its benefits, key steps for strategizing, and how data can help.

Discover the latest trends and benefits of automation in the energy sector, and how it can impact workforce strategy.

The future of an organization depends on smooth transitions in leadership. Here are six best practices for successful succession planning.

Learn how economic challenges and strategic shifts are reshaping the gaming industry, and ways workforce planning and AI integration could help.

Gap analysis is a workforce planning model that helps you identify the gaps between your current and future workforce needs.

As organizations adapt to evolving work landscapes, several trends stand out, shaping the HR sector’s future trajectory in 2024.

Creating and managing a comprehensive talent/skills inventory has emerged as a strategic imperative for human resources (HR) professionals.

HR and business leaders can harness the power of data-driven decision-making to enhance recruitment, boost employee engagement, retain top talent, and ultimately contribute to the success of their organizations.

In a world driven by analytics, data storytelling is an invaluable guide to bridging the gap between raw data and meaningful insights.

By mastering capacity planning techniques, project managers can optimize resource allocation, accurately estimate timeframes, and adapt to unforeseen challenges.

When it comes to ensuring an organization’s long term resilience and success, a well thought out workforce plan can help provide the right talent, skills, and strategies to better prepare for changing circumstances and seize opportunities, and overcome challenges more effectively.

Unlock HR’s full potential with automation! Dive into strategies to streamline processes, enhance efficiency, and elevate the employee experience. Join the HR revolution.

By capitalizing on competitor and labor market insights, businesses can navigate the intricate talent landscape, make data-driven decisions, and secure their competitive edge in the quest for exceptional talent.

Here's a closer look at why establishing a robust, data-driven job architecture is akin to providing your employees with a detailed, reliable map to a structured, fulfilling, and ultimately successful journey within your organization.

Reengaging disengaged employees is an involved process of understanding individual needs and creating initiatives that support the entire workforce. But the results can be well worth the effort for business leaders.

As organizations try to keep up with changing technology and labor market trends, professional growth opportunities are essential for employees.

Embracing hyper-personalization in HR offers the potential to unlock significant gains in employee engagement, productivity, and overall satisfaction.

Delve into the potential of the metaverse in HR, including its potential impact on hiring, onboarding, employee engagement, and the future of work.

Leverage the power of talent relationship management to attract, engage, and retain top talent.

A growing, critical shortage of skilled STEM professionals could jeopardize future economic growth and innovation worldwide.

To define and evaluate key competencies within their organizations, HR leaders need to develop a competency framework.

How is the burgeoning gig economy redefining the future of work, and what pivotal opportunities does it unlock for both sides of the equation?

Interdisciplinary skills are key to becoming a successful worker across industries, both now and in the future. Here's a look at five increasingly popular interdisciplinary skills that will likely be essential for future workforces.

HowNow CEO Nelson Sivalingam explores a problem-first approach, engaging employees, the role of tech, and bringing entrepreneurial skills to L&D.

"L&D Detective" Kevin M. Yates discusses key challenges for L&D, measuring performance, and exploring different ways of learning.

Independent strategist Matt Ash explores the perspective and skills necessary for future training and problem-solving.

Learn more about the future of L&D with Mark T Fernandes, learning and development specialist.

Check out the thoughts of Ross Stevenson, independent learning and performance strategist, about the future of L&D.

Discover the difference between rightsizing and downsizing, along with best practices and benefits for maintaining a healthy organization.

Here's a quick guide to five common employee reduction and management strategies, plus other tips for lowering workforce costs.

Want to make sure your organization is on the right track with strategic workforce planning and transformation? Here's a quick guide to the relevant metrics your organization should be tracking.