HRSpotlight

Why the Future of Workforce Training Is Not More Courses

July 9, 2026

Why the Future of Workforce Training Is Not More Courses

For years, corporate learning has often been treated as a content problem.

When employees needed to learn a new system, complete compliance training, prepare for certification, or build technical skills, the answer was usually more courses. More modules. More videos. More PDFs. More learning portals.

But many HR and L&D teams are now realizing that more content does not automatically create a better-trained workforce.

In fact, for many organizations, the problem is no longer access to learning materials. The problem is fragmentation.

Employees are expected to learn across disconnected systems. One platform hosts onboarding materials. Another handles compliance training. A separate tool manages assessments. Technical practice happens somewhere else. Live workshops are run through another application. Completion tracking still relies on spreadsheets. Certifications are stored manually or scattered across departments.

The result is a corporate learning environment that is busy, but not always effective.

The next phase of workforce training will not be defined by how many courses a company can offer. It will be defined by how well companies can connect learning, practice, assessment, certification, and performance into one cohesive ecosystem.

Workplace learning used to be viewed as a support function. New employees were onboarded, compliance boxes were checked, and occasional professional development courses were offered when budget allowed.

That is no longer enough.

Today, corporate learning sits at the center of some of the biggest challenges facing HR leaders. Companies need to onboard employees faster, reskill workers for new technologies, prepare teams for AI adoption, retain top talent, maintain compliance, and build internal mobility pathways.

At the same time, employees increasingly expect learning to be relevant, flexible, and directly connected to their role. They do not want generic training that feels disconnected from their day-to-day work. They want to understand how new knowledge applies to their responsibilities, career growth, and performance.

This makes corporate learning much more than a training function. It is now tied to productivity, employee experience, retention, compliance, and long-term workforce planning.

But to deliver on that promise, companies need to rethink the systems behind learning.

Most organizations already have more training content than they realize.

They have onboarding documents, product guides, recorded webinars, internal SOPs, compliance manuals, sales enablement materials, customer support scripts, leadership training decks, technical documentation, and policy updates.

The issue is that this information often sits in too many places and is rarely structured as a complete learning experience.

An employee may read a document, watch a video, attend a workshop, and take a quiz, but those steps are not always connected. Managers may not have real-time visibility into progress. HR teams may struggle to prove whether training is actually improving skills. Employees may complete required courses without developing confidence in applying the material.

This is where many corporate learning programs fall short.

They measure participation, but not always capability. They track course completion, but not always skill development. They provide information, but not always practice.

For HR leaders, that distinction matters. A workforce that has completed training is not the same as a workforce that is prepared to perform.

The most effective corporate learning programs are moving beyond passive content consumption.

Reading a policy or watching a training video may be useful, but it is rarely enough on its own. Employees need opportunities to apply knowledge, test understanding, receive feedback, and practice in realistic scenarios.

This is especially important for technical roles, compliance-heavy industries, customer-facing teams, and organizations undergoing rapid change.

A software engineer learning a new framework benefits from hands-on coding practice. A support team learning a new product needs realistic troubleshooting scenarios. A compliance team needs secure assessments and clear documentation of completion. A new manager needs interactive training that helps them make decisions, not just memorize leadership concepts.

Applied learning turns training from a one-time event into a process of continuous improvement.

It also gives HR and L&D teams better insight into where employees are confident, where they need support, and where skill gaps may create business risk.

Artificial intelligence is already changing corporate learning, but not simply by generating more content.

Used well, AI can help HR and L&D teams turn existing materials into structured courses, quizzes, study guides, and personalized learning paths. It can help identify knowledge gaps, recommend next steps, automate repetitive administrative tasks, and support employees with real-time guidance.

That can be extremely valuable, especially for lean HR teams that are expected to support training across departments, regions, and employee groups.

However, AI alone does not solve the problem of disconnected learning.

If AI-generated content lives in one system, assessments happen in another, progress tracking sits in a spreadsheet, and certifications are managed manually, the organization still has a fragmented learning environment.

The real value of AI emerges when it is built into a broader learning ecosystem. That means training content, learner progress, assessments, practice environments, scheduling, collaboration, and reporting are connected.

For HR leaders, this matters because workforce development depends on visibility. You cannot effectively manage skills across an organization if learning data is scattered across disconnected tools.

Many companies have gradually built their learning technology stack one problem at a time.

They added an LMS for course delivery. Then a webinar tool for live sessions. Then a testing platform. Then a certification tool. Then a content creation tool. Then a scheduling system. Then a reporting dashboard.

Each tool may have made sense when it was introduced. But over time, the total system becomes difficult to manage.

Employees have to move between too many platforms. Managers struggle to understand who has completed what. HR teams spend too much time coordinating systems instead of improving learning strategy. IT teams have to manage integrations, permissions, data security, and vendor complexity.

This is the same issue many HR departments have faced across the broader HR tech stack. More tools can create more capability, but only if those tools work together.

In corporate learning, tool sprawl can quietly weaken the impact of training. The more friction employees experience, the less likely they are to engage deeply. The more manual work L&D teams have to do, the less time they have for meaningful program design.

A learning ecosystem takes a more connected approach.

Instead of treating training as a collection of separate activities, it brings the core pieces of workforce development into one environment: learning management, content creation, assessment, hands-on practice, live collaboration, scheduling, certification, and analytics.

This matters because modern workforce learning is not linear.

An employee may need to complete onboarding, join a live workshop, practice a task, take an assessment, receive AI-guided feedback, earn a certification, and continue developing skills over time. If those steps are connected, HR gains a clearer picture of employee growth. If they are fragmented, the organization loses visibility.

A connected ecosystem also makes learning more scalable.

For example, a company can build structured onboarding paths for new hires, automate compliance training across locations, deliver secure certification exams, provide hands-on technical practice, run interactive workshops, and track progress from a shared data layer.

That helps HR and L&D teams move faster without sacrificing quality or oversight.

Constructor Tech is one example of this ecosystem approach applied to corporate learning.

Rather than focusing only on course delivery, Constructor Tech provides an integrated learning ecosystem that combines learning management (Learn), assessment (Assess), secure proctoring (Proctor), virtual labs (Practice), live training (Groups), scheduling (Schedule), and AI-assisted content creation (Prism) on a single shared-data layer, so information moves across teaching, assessment, and administration without custom integrations.

For corporate learning teams, that means onboarding, compliance training, employee development, partner training, technical skill practice, and certification can be managed in a more connected way.

This type of model is especially relevant for organizations that need to train distributed teams, validate skills, and keep learning tied to measurable outcomes.

For example, new employees can follow structured learning paths and have their progress tracked from one dashboard. Technical employees can practice coding or IT skills in realistic environments. Employees preparing for certification can complete assessments with secure proctoring and automated grading. L&D teams can use AI to turn existing company materials into interactive training content instead of building everything manually from scratch.

The value is not just convenience. It is operational clarity.

When learning systems are connected, HR teams can better understand who is trained, who is certified, where skill gaps exist, and where additional support is needed.

Corporate learning is often discussed in terms of employee development, but the business case is broader.

Better learning systems can reduce onboarding time, improve compliance readiness, support internal mobility, increase employee confidence, and help organizations adapt faster when job requirements change.

They can also help companies protect institutional knowledge. As experienced employees leave or move into new roles, organizations need better ways to capture and transfer what they know. AI-assisted content creation and structured learning pathways can help turn internal expertise into repeatable training programs.

This is particularly important as organizations adopt new technologies.

AI readiness, for example, cannot be solved with one company-wide webinar. Employees need role-specific training, practical workflows, clear guidance, and ongoing reinforcement. A marketing team, finance team, customer support team, and IT team will all use AI differently. Corporate learning systems need to reflect that reality.

The companies that succeed will be the ones that treat workforce training as an ongoing capability-building system, not a one-time content library.

As learning becomes more strategic, HR’s role is also evolving.

HR leaders are no longer just administrators of training programs. They are increasingly responsible for helping the business understand what skills it has, what skills it needs, and how quickly the workforce can adapt.

That requires better data, better systems, and better learning design.

A modern corporate learning strategy should help answer practical questions:

Which employees are ready for new responsibilities?

Where are the biggest skill gaps?

Which teams need additional training?

Are employees actually applying what they learn?

Can the organization prove compliance and certification readiness?

How quickly can new training be created when business needs change?

These questions are difficult to answer when learning is scattered across disconnected tools. They become much easier when learning, assessment, practice, and reporting are part of the same ecosystem.

The future of workforce training is not about offering employees an endless library of courses.

It is about creating learning environments that are relevant, measurable, and connected to real work.

Employees need training that helps them build practical skills. Managers need visibility into development. HR teams need systems that reduce administrative work instead of adding to it. Organizations need learning infrastructure that can keep up with constant change.

AI will play a major role in that future, but AI is not the whole answer. The bigger shift is toward integrated learning ecosystems that make corporate training easier to build, easier to deliver, and easier to measure.

For HR and L&D leaders, the message is clear: more courses are not enough.

The companies that build smarter learning ecosystems will be better positioned to onboard faster, upskill continuously, validate employee capabilities, and adapt as workforce needs evolve.

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In Conversation with Michael Ang

In Conversation with Michael Ang is the CEO and founder of JobElephant

What is the most overlooked metric in recruitment, and why does it matter?

Michael Ang:

The most overlooked metric in recruiting is not time-to-fill or even cost-per-hire. It is source quality and source accuracy. Most organizations still cannot reliably tell you where their best candidates actually came from, and that creates a massive blind spot in hiring strategy and especially spend.

The fact that nearly every application still asks, “How did you hear about this job?” tells you everything you need to know. That question is a relic from the newspaper advertising era, yet it survives because most recruiting systems still struggle with true attribution. Over 50% of the applicants select a source that is not accurate. The result is that HR teams are often making budget decisions using incomplete or inaccurate data.

Clicks are easy to measure. Applications are measurable. But what actually matters is which sources consistently produce qualified applicants who interview well, get hired, perform and stay. Too many organizations optimize for volume because volume is visible, while quality is much harder to track.

The fix is straightforward, but it requires discipline. Treat every source as an investment, not a line item. Measure application starts, completed applications, qualified candidates, interviews and hires by source. Then compare those outcomes against actual spend.

Once organizations start looking at recruiting through that lens, the data becomes very revealing very quickly. Some sources that appear “expensive” produce exceptional hires. Others generate lots of activity but very little value. Without accurate source tracking, companies often continue funding channels that create noise instead of results.

Source of hire is not just another reporting metric. It is one of the foundational inputs for making smarter recruiting, marketing and workforce decisions.

When budgets get cut, recruitment advertising is often the first thing to go. What is wrong with that approach?

Michael Ang:

Cutting recruitment advertising under budget pressure is like turning off the lights to save money and then wondering why no one can find the door. The candidates you need do not disappear just because your budget did.

What many HR leaders miss is that reducing advertising does not reduce reach evenly. It reduces visibility selectively. Active job seekers on the major platforms may still find you. But many of the most valuable candidates, including faculty researchers, public health leaders, specialized engineers and other hard-to-reach professionals, are not spending their days scrolling large generic job boards. They follow niche publications, industry associations and specialized communities tied directly to their profession. The moment an organization cuts those channels, it often disappears from that talent market entirely.

The smarter approach is to audit before you cut. Identify which channels consistently produce qualified applicants, strong interviews and actual hires, then protect those investments first. High-traffic platforms with low conversion rates are often better candidates for reduction than highly targeted niche sources with smaller but far more relevant audiences.

Organizations that treat recruitment advertising as a measurable performance investment instead of overhead make better decisions under pressure. More importantly, they maintain access to the talent pools that matter most while competitors quietly disappear from view.

What do mission-driven organizations consistently get wrong about recruitment advertising?

Michael Ang:

Mission-driven organizations often make the mistake of treating recruitment advertising as an expense instead of an investment, and that mindset changes everything downstream.

These organizations usually have a real advantage because purpose matters. Strong missions attract attention and create emotional connection with candidates. But many HR teams mistakenly assume the mission alone is enough to carry the recruiting effort. They post jobs on a few large general platforms and expect the right people to find them. Then they are surprised when the applicant pool feels shallow, misaligned or lacks the diversity and specialization they hoped to attract.

The mission creates interest. The strategy determines who actually applies.

Every search is its own marketing campaign with a specific audience. A faculty role in marine biology requires a completely different outreach strategy than a nursing position, a public health leader or a public policy director. Different audiences consume information in different places, trust different sources and engage with different communities.

The organizations that consistently outperform are the ones that approach recruiting with precision. They define the target audience, identify the right distribution channels, measure performance and adjust based on outcomes instead of assumptions.

Mission is powerful. But mission without strategy is rarely enough to consistently produce the hiring outcomes organizations expect.

If you could describe the current mood of the workforce in 2026 using just one word, what would it be? Why?

Michael Ang:

“Cautious.”

That word captures what we see in real-time job ad data every single day. Across higher education, nonprofits and public agencies, the sectors we serve, hiring activity has not rebounded the way many predicted. In 2025, roughly one in eight of our clients posted no new roles at all. That is not a pause. That is a freeze. The last time we saw that level of decline was 2009, during the Great Recession.

The signals driving that caution are structural, not emotional. Policy uncertainty slows budget approvals. Grant delays stall research hiring. Tariff swings make workforce planning feel like a moving target. Even employers who want to hire are waiting for clearer signals before they commit. Optimism is healthy, but it has to match the operating environment. Right now, the data points to “wait and see,” not “go.”

We talk a lot about “gut feeling” in hiring. How are you using data to challenge your own biases, or the biases of hiring managers, when it comes to hiring, retaining, or promoting underrepresented talent?

Michael Ang:

Gut feeling is a luxury that underrepresented candidates cannot afford. When hiring managers rely on instinct, they tend to hire people who look and sound like them. Data is the antidote to that pattern.

At JobElephant, we use applicant tracking system integrations to evaluate how targeted, niche job boards perform compared with generic platforms, so hiring decisions rely on reach and results rather than assumptions. Our analysis of 439,599 job postings across 370 publications showed that ads placed in specialized publications generated 4.3 million impressions and 2.8 million clicks in 2024. Those numbers tell you exactly where your message lands and who is paying attention.

The business case for inclusive hiring is equally data-driven. Companies that build inclusive workforces report 19% higher innovation revenues and are 35% more likely to outperform their competitors. That is not a talking point. That is a competitive advantage hiding in plain sight. When hiring managers push back on broadening their candidate reach, the numbers move the conversation forward. Feelings fade. Data sticks.

What is the biggest myth about working in HR that you wish would die?

Michael Ang:

That posting a job means candidates will come. They will not. Not automatically, and not the right ones.

After 25 years of working alongside HR teams, the single most expensive assumption I see is that a job listing on a major platform is a hiring strategy. It is not. It is a starting point at best. The real work is understanding which channels reach the specific talent you need, how your message performs in real time, and what the data shows about where qualified candidates are actually coming from.

HR professionals deal with disconnected technology. Job boards and applicant tracking systems operate in silos, which means critical data falls through gaps. Organizations end up making hiring decisions based on incomplete or unreliable information, and they do not know why the right candidates are not applying. The question “How did you hear about this job?” remains standard in 2026 only because modern systems still cannot reliably track where candidates originate. That is a technology failure masquerading as a process.

The myth that posting equals hiring costs organizations time, money and top talent every day. The sooner HR leaders treat recruitment advertising as a living, data-driven campaign rather than a checkbox, the better their results will be.

What is one task AI will never be able to replace in your people strategy?

Michael Ang:

Trust. AI cannot build it, and it cannot repair it when it breaks.

Every interaction a candidate has with your organization creates an impression, from the first job posting they read to the final offer conversation. AI can optimize the language in that posting, predict which platform delivers the best reach, and score resumes with more consistency than a human reviewer. What it cannot do is make a candidate feel seen, heard and genuinely valued as a person.

The most telling moment in any hiring process is rejection. A candidate who receives a thoughtful, human response after being passed over can still walk away as a brand advocate, a future applicant or a referral source. A candidate who receives an automated form letter walks away with a story to tell. That story lives on Glassdoor, in professional networks and in every conversation they have about your organization going forward. No algorithm manages that outcome.

At JobElephant, we built our technology to handle the analytical heavy lifting, so our people have more time to focus on the relationships that data cannot build. That balance is not a feature. It is the strategy.

Michael Ang is the CEO and founder of JobElephant, a recruitment advertising technology company serving higher education, government, health care and nonprofits. Michael Ang launched JobElephant in 2000 and scaled it nationally by pairing proprietary ad tech with high-touch service. Michael Ang focuses on simplifying hiring through smarter job distribution, predictive recommendations and clear performance reporting, so HR teams can see what works and move budget accordingly. Michael Ang still works directly with accounts to ensure every campaign delivers measurable results.

 

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In Conversation with Dr Kathryn Page

In Conversation with Dr Kathryn Page, Leadership Partner at ByMany

HR has been through the wringer lately. From being the ‘bad guys’ during layoffs to the ‘fun police’ during RTO, a lot’s been happening. If you could clear the air right now, what is the one thing you wish every employee understood about HR?

Dr Kathryn Page:

HR professionals often get a bad rap – and often unfairly in my experience. Most HR professionals (and I put myself as an organisational psychologist in this bucket) care deeply about people. It is often why we were drawn to the profession.  What is difficult however is that we often sit in the middle of tensions that don’t have easy answers. We are navigating the needs of employees, leaders, customers, regulators and the business all at once. Many days it feels like trying to solve a rubiks cube (minus the YouTube videos that explain exactly how to solve them!)

 HR requires a weird mix of skills. You have to be part lawyer, part therapist, and part data analyst. If we stripped away the job title, what is the one ‘superpower’ you rely on most when the office is on fire?

Dr Kathryn Page:

Sensemaking.

In my work, I spend a lot of time helping leaders navigate complexity, uncertainty and change. The temptation in those moments is to rush to solutions.  I’ve learned that the most valuable thing you can do is slow down long enough to understand what’s really happening.  Often the issue presenting itself (or that others are adamant you need to solve) isn’t the issue that needs solving. The ability to listen deeply, spot patterns, challenge assumptions and help people make meaning together is invaluable when organisations are under pressure.

If you could describe the current ‘mood’ of the workforce in 2026 using just one word, what would it be? Why?

Dr Kathryn Page:

I’d say ‘Stretched’.

People are being asked to deliver more, adapt faster and absorb constant change, often without removing anything from their plate.  AI, transformation programs and economic pressures have increased expectations, but many organisations are still operating with assumptions about capacity that no longer hold true.  The challenge for leaders isn’t helping people squeeze more into the day. It’s designing work that is sustainable in a world that never stops accelerating.

It is a common notion that an HR team is called upon by leadership only during times of crisis. Have you ever felt that pressure to be the ‘fixer’ in a broken system?

Dr Kathryn Page:

As an advisor to HR leaders, one pattern I see repeatedly is the expectation that HR will solve problems that were never created by HR in the first place. A great example of that is burnout or engagement issues – two issues that leaders often expect HR to deal with. But both of these issues originate in the way work is designed and led at the business or work group level.

One of the most powerful shifts I see in leading organisations is moving from asking, “How do we help people cope?” to asking, “What are we asking people to cope with?”

What is the biggest myth about working in HR that you wish would die?

Dr Kathryn Page:

That HR are responsible for employee wellbeing. Yes, we can influence this and maybe run more programmatic responses. But programs alone (and therefore HR people) can’t make people more resilient, productive or adaptable. I would 100% agree that those skills matter – in fact, I would say they are absolutely vital for work today. However, I also know from my two decades of research in organisational psychology and public health that work itself is one of the strongest drivers of mental health, engagement and performance.

In my view, the future of HR isn’t helping people survive work. It’s helping organisations design work that is good for people in the first place.

 HR is often described as a thankless job—you’re the villain when things go wrong and invisible when things go right. Why do you stay? What is the specific feeling that reminds you, ‘This is why I do this’?

Dr Kathryn Page:

Because work matters. We spend more of our waking lives working than doing almost anything else. Work shapes our health, confidence, relationships, identity and sense of contribution. It is, as I alluded to in my response to the previous questions, a social determinant of health

What keeps me passionate about this work is seeing the ripple effect. When a leader changes how he or she leads, a team might start having better conversations. When conversations improve, someone might feel safe enough to speak up. When people speak up, a source of frustration that’s existed for years might get redesigned and removed.

Those moments may seem small, but these small moments compound. And when we improve work, even in small ways, we improve lives.  

What is one task AI will never be able to replace in your people strategy?

Dr Kathryn Page:

AI will help us analyse work. It won’t replace our responsibility to decide what good work looks like. The most important questions organisations face are fundamentally human ones: What kind of culture are we creating? What trade-offs are we willing to make? How much is enough? What does success look like?

Technology can help answer operational questions. Humans still need to answer moral ones.

 What is one book every leader in HR should read?

Dr Kathryn Page:

I’m biased, but I would love leaders to read my book, Good Work: Transform your work from the inside out.  I have written this book partly for HR Leasers as a bit of a distillation of two decades of knowledge into a blue print of sorts. Outside of this, I’d encourage leaders to read broadly beyond traditional HR texts.

One book I’d recommend is The Good Jobs Strategy by Zeynep Ton. Its central argument is that investing in better jobs isn’t at odds with performance and can be a driver of performance. At a time when many organisations are trying to balance productivity, wellbeing and adaptability, that’s an important idea for leaders to wrestle with.

If you had an unlimited budget for one year but could only spend it on one area of the employee experience (e.g., wellness, learning, compensation, physical space), where would it go and why?

Dr Kathryn Page:

Work design. Without hesitation. In fact, I wouldn’t spend it on wellbeing programs. I’d spend it on improving the quality of work itself. The way work is designed (i.e. things like workload, autonomy, role clarity, connection, learning opportunities and recovery) shapes almost everything else. It influences performance, engagement, wellbeing, retention and innovation.

I’d invest in helping leaders redesign jobs, teams and systems so that good work becomes the default, not something employees have to fight for. In my experience, the highest-return wellbeing strategy isn’t a wellbeing program. It’s better work. It is not as easy to do as implementing a program but over time, I genuinely believe creating better work will help to create a better world.

Dr. Kathryn Page is an organizational psychologist, author, and leadership partner at ByMany, who has spent her career asking one big question: What makes work good for us? Based in Melbourne, she has worked with leaders across industries to design work that protects people, fuels wellbeing, and unlocks performance. Her clients include some of the world’s largest companies and health systems, and her research is cited broadly. Her new book, Good Work:Transform Your Work from the Inside Out (Wiley, May 11, 2026), shows how leaders and teams can design work that’s both human and high performing. Learn more at bymany.com.au

 

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In Conversation with Matt Poladian

In Conversation with Matt Poladian, Chief People Officer, Liferay

Thank you for joining us, Matt! Let’s begin with the current ‘mood’ of the workforce in 2026! Using just one word, how would you describe it? Why?

Matt Poladian:

“Fearful. And I don’t say that to be dramatic. I say it because I think it’s honest.

There’s real anxiety in the workforce right now, in tech and outside of tech, and a lot of it is being driven by what people are saying about AI. Some CEOs have said publicly that people should watch out because AI is going to take their jobs. Other leaders have talked about how people can be quickly left behind if they don’t get “on board.” I don’t think this is particularly helpful. When you tell people to fear something, their imaginations take over and they start filling in the blanks themselves. Mercer reported that 40% of workers now fear losing their job to AI, up from 28% two years ago, so the impact of these narratives is measurable and consequential.

What I keep coming back to is that the antidote to fear is knowledge. I recently read an excerpt from a letter written by a farmer in the 1800s who was afraid the industrial revolution would take away his livelihood. Of course, with hindsight, we know that the industrial revolution also expanded economies and helped create new kinds of opportunity. I’m not saying I have a crystal ball. I’m just saying leaders have a responsibility to help people be a little more measured in how they think about change.”

Have you ever felt that pressure to be the ‘fixer’ in a broken system?

Matt Poladian:

Absolutely. A lot of the pressure on HR leaders today comes from managing digital transformation.

HR leaders used to spend most of their time on culture and the employee lifecycle. Now, the head of HR is often one of the biggest owners of an organization’s internal tech stack. I am the executive sponsor of   a dozen or so SaaS tools, and IT-related decisions now take up close to 20% to 25% of my decision-making space. That shift happened quickly, and a lot of people in HR were never really trained for it.

So you end up being called in to help solve problems HR didn’t necessarily create: systems that don’t talk to each other, tools employees aren’t adopting, or frustration from people who feel like technology is being done to them instead of for them. None of that starts as an HR problem, but HR often feels the impact when the people side breaks down.

HR leaders don’t need to become technologists overnight, but we do need the right relationships early with IT, legal, procurement and project managers, so that when we’re brought in to solve something, we’re not doing it alone.

What is the biggest myth about working in HR that you wish would die?

Matt Poladian:

That being a “people person” and being tech-savvy are somehow opposites.

I still hear HR professionals say, “I don’t deal with tech, I’m a people person,” and I don’t think that holds up anymore. Technology is part of the employee experience now. The tools people use to collaborate, manage performance, find information, get support and communicate with each other all shape how work feels. And AI magnifies all of that.

That doesn’t mean HR leaders need to become engineers. But we do need to understand enough about technology to ask the right questions, choose the right partners, and make sure tools are actually helping people. Because when technology is implemented well, it can create more human connection, not less. We saw that clearly in 2020, when platforms like Zoom and Teams helped people see each other’s faces at a time when many felt isolated. Technology can deliver real human warmth when it’s used thoughtfully.

If you could ban one corporate buzzword forever, what would it be?

Matt Poladian:

“AI will take your job.”

I know that’s more of a phrase than a buzzword, but it has become its own kind of corporate currency, and I’d love to retire it as quickly as it emerged. The language we use around AI is doing real damage to how employees relate to it. When people hear that framing, they start “protecting” themselves from AI instead of learning how to leverage it in their careers.

What I try to do instead is show people the tangible upside. We’ve built AI into parts of our product, and it’s helping us open new conversations with customers. That’s something to celebrate, as long as we’re using it responsibly. The conversation needs to shift from “watch out” to “here’s what’s possible.”

What is one task AI will never be able to replace in your people strategy?

Matt Poladian:

The personal relationship required to reach someone who has completely shut down.

We’ve been looking at a five-stage AI adoption model, and we actually added a “stage zero” because there’s a category of employees who aren’t just slow to adopt, but have folded their arms and decided, “this isn’t for me.” No policy, webinar, or AI-generated communication is going to reach that person on its own.

What reaches them is their colleagues and their manager. Someone who knows them, has built trust with them and can understand what’s underneath the resistance. That kind of human relationship is what helps people move from fear or avoidance to curiosity.

What is one book every leader in HR should read?

Matt Poladian:

Quiet by Susan Cain.

It’s a book about introversion and extroversion, and how people show up differently in group settings. But when I read it, I kept thinking about something beyond what the author originally intended: virtual and in-person participation has become its own version of that dynamic.

In a hybrid meeting, the virtual participant can sometimes show up like the introvert in the room: present and engaged, but structurally disadvantaged by the environment. That insight shaped how I think about hybrid work. At Liferay, I’ve recommended that virtual meetings happen on the days when everyone is remote, so no one is the person on a screen looking into a room.

To me, that’s the mark of a great book. It gives you a framework you can apply beyond the exact situation it was written for.

If you had an unlimited budget for one year but could only spend it on one area of the employee experience (e.g., wellness, learning, compensation, physical space), where would it go and why?

Matt Poladian:

Learning. Specifically around helping people understand and adopt the technology that’s already available to them. A McKinsey study found that 80%+ of organizations using AI haven’t seen enterprise-level impact yet, so there is clearly a deployment-vs-adoption gap.

I look at what companies are spending on AI tools and then I look at how people are actually using them. Right now, a lot of usage is still glorified Google searches, or expensive “rabbit trails” that drain token usage. We’re not getting close to the full value these tools can deliver.

If I had an unlimited budget for a year, I’d pour it into closing that gap. Not just webinars, but hands-on, gamified, practical learning experiences. McKinsey finds that organizations using gamified training see up to a 50% improvement in engagement and retention rates. We ran a competition on my team where people had to find a real AI use case that solved a problem they were facing at work. We got 18 ideas back. People built things, recorded presentations, and competed for a chance to attend a conference together. That kind of learning sticks. It improves productivity, but more importantly, it changes how people relate to the technology. They stop seeing AI as something to fear and start seeing it as something they can use. You can’t put a number on what it’s worth to have a workforce that is curious instead of fearful.

Matt Poladian is the Chief People Officer at Liferay, a global technology company. In that capacity, he is responsible for all areas of HR across the company's worldwide offices and several hundred remote employees. Before joining Liferay, Matt held various HR business partner and HR manager roles at large companies, most recently within Disney's Animation studios. He has degrees from UC Irvine (MBA) and Claremont McKenna College (BA). Matt keeps busy outside of work holding several non-profit leadership positions. His most important role is as husband to Jenny and dad to their three young kids.

 

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Decoding Confidence: The 7 Habits of Confident Leaders

DECODING CONFIDENCE

The 7 Habits of Confident Leaders

– ADVITA PATEL

ATTRACT (1) (2)

New book by Communications and Confidence Strategist Advita Patel offers the mantra to decoding confidence.

Key Takeaways

Questioning

If you’re responsible for people’s development, there are some honest questions

Integrity

The habit that’s all about aligning what you say with what you actually think.

Learning

Confident leaders treat every experience as information, including their encounters with AI.

Reframe

AI, when used intentionally, doesn’t erode confidence at all. It can actually help build it.

PRIMARY AUDIENCE

ABOUT THE AUTHOR

ADVITA PATEL

Advita Patel is an award winning business communications consultant and professional confidence expert. She is the founder of CommsRebel, a consultancy supporting organisations to build inclusive, high performing workplace cultures, and the co-founder of A Leader Like Me, an international agency focused on inclusive leadership and employee experience. Advita is the host of the Decoding Confidence podcast, which explores confidence at work through honest conversation and practical insight. Her forthcoming book, Decoding Confidence, will be published in May 2026. An international speaker and award winning podcaster, Advita regularly speaks on confidence, leadership, inclusion, and communications. In 2025, she was the President of the Chartered Institute of Public Relations in 2025.

Short Thesis

Decoding Confidence isn’t just a book; it’s a roadmap for the kind of leadership that changes lives—starting with your own. It moves past the old-school idea of the “perfect” boss and focuses on how to lead with genuine authority and heart.

Through Patel’s guidance, you’ll dig deep into what makes you tick. You’ll learn how to own your unique strengths, turn vulnerability into a superpower, and quiet that inner critic so you can finally show up with the courage your team deserves.

This journey is about impact, not perfection. To make sure these ideas actually stick, the book includes a 30-day confidence habit tracker, designed to help you turn quick insights into long-term growth. Whether you’re looking to find your voice or inspire your people, these practical tools make confidence feel less like a mystery and more like a habit.

Excerpt

I was an ordinary woman from an ordinary town doing ordinary things, until the day I decoded what confidence meant to me…that’s when things became extraordinary.

I still remember the drive that changed everything. I was heading to work, stuck in traffic on the M62, so I rang a good friend to have a chat, but that day my mood was low and I wasn’t feeling great. I complained about everything: my career, my salary, the title I thought I should have had by now. I was exhausted from shape-shifting into whoever I thought people wanted me to be, and every moment felt like I was performing as someone else.

I’d spent so long trying to mould myself into the kind of leader I thought others would respect, such as being louder, tougher, and more polished, that I’d lost sight of what leadership looked like when I played to my own strengths.

When I finally stopped talking, there was silence on the line. I thought the call had cut off. Then she said, calmly but firmly:

“So…what are you going to do about it?”

That realisation took me right back to growing up in Manchester, when my confidence in myself started to crumble. As the only Asian family on our street, I learned early that fitting in was the safest option. Day after day, being told, subtly or directly, that you don’t belong chips away at your sense of self and confidence. To ‘fit in’ I became the ultimate people pleaser, conforming to whatever would help me belong.

At school and later in the workplace, that habit followed me. My parents hadn’t worked in offices, so the world of suits, unspoken rules, and after-work drinks felt alien. I spent years trying to fit into what I thought was “acceptable,” believing that confidence and leadership were things other people were born with.

But I realised I wasn’t leading, I was performing. And deep down, I knew if I wanted a fulfilled life, this way of working and living couldn’t last.

That moment on the motorway was when everything shifted. I pulled into the car park at work, and I sat there in stunned silence, realising that my friend was right, change was within my control. It was the first time I understood that it was my confidence, or rather the lack of it, that was holding me back, not anyone else. I realised that my progression was determined by always waiting for validation or permission before I believed I was worthy enough to succeed.

And if I wanted to lead differently, I knew I’d have to decode what confidence means to me.

Visit Book Website

In Conversation with the Author

In Conversation With Advita Patel

In Conversation With

Author

Decoding Confidence: The 7 Habits of Confident Leaders

Advita Patel is a leading communications and confidence strategist, the 2025 CIPR President, and CEO of CommsRebel. Her new book, Decoding Confidence: The 7 Habits of Confident Leaders, arrives at a critical juncture for HR leaders navigating the intersection of human judgment and artificial intelligence.

Hi Advita, thank you for joining us! You’ve noticed a pattern in the workplace regarding AI that has you concerned. What is happening to leader confidence?

Advita Patel:

There is a quiet erosion of confidence happening right now. Leaders who used to trust their instincts are now routinely deferring to AI before they’ve even formed an original thought. We are seeing professionals outsource their communications, arguments, and judgment to machines.

The problem is that confidence isn’t built in moments of ease; it’s built by the small acts of trusting yourself, forming a view, and even getting it wrong sometimes. When we repeatedly skip that process by using AI as a crutch, we lose the habit of independent thinking and start to doubt our own capabilities.

You reference Daniel Kahneman’s “System 1” and “System 2” thinking here. How does that apply to our AI usage?

Advita Patel:

Most of us operate in System 1—fast, automatic, and intuitive—especially when we are overwhelmed. That is exactly when we reach for AI. It feels productive, but it’s a shortcut that bypasses the slower, deliberate System 2 thinking where rational decisions are made. If leaders model this uncritical adoption, their teams will eventually stop bringing their own thinking to the table.

Your book introduces the BELIEVE framework. How can this help HR leaders develop more resilient talent?

Advita Patel:

Confidence is not a personality trait; it is a learnable skill built through repeatable habits. The BELIEVE framework consists of seven habits:

  • Boldness
  • Empathy
  • Learning
  • Integrity
  • Empowerment
  • Vulnerability
  • Energy

Two of these are vital in the age of AI. First, Learning: Confident leaders ask what an AI tool can teach them and where it falls short, rather than letting it replace their judgment. Second, Integrity: This is about knowing the difference between your own voice and a generated one, and being willing to say “this is what I actually believe”.

Many HR leaders are currently focused on AI competence. Are we missing the bigger picture?

Advita Patel:

Exactly. The question for HR isn’t whether people are using AI—they should be—but whether they are using it in a way that develops them or hinders them.

HR leaders should be asking:

  • Are our programs building genuine confidence or just tool competence?
  • Are we creating enough space for people to be wrong and learn from it
  • Do our managers understand that no algorithm can replicate the impact of a human leader investing in someone’s growth?

Your research suggests a strong link between management and confidence. What did you find?

Advita Patel:

My research found that 71% of people said genuine feedback from managers made the biggest difference to their confidence. That human element is where confidence actually gets built.

What was the primary motivation behind writing Decoding Confidence?

Advita Patel:

I spent years coaching brilliant people and realized they weren’t struggling with a skills gap, but a confidence gap. This gap costs organizations far more than anyone wants to admit.

The book also addresses the systemic side—McKinsey’s research shows that employees who don’t see leaders who look like themselves are more likely to doubt their own capabilities. Leaders have a responsibility to shape an environment where everyone can be heard. As Juergen Maier CBE (Chair of Great British Energy) notes in the foreword, the book is a powerful tool for reflecting on our own leadership styles.

“The organizations that will navigate the AI era well aren’t the ones with the most sophisticated tech stack. They’re the ones whose people are confident enough to think critically, speak honestly, and lead with judgment that no algorithm can replicate.”

Decoding Confidence: The 7 Habits of Confident Leaders by Advita Patel is now available at Amazon and major booksellers.

Visit Book Website

Visit Book Page

Advita Patel is an award winning business communications consultant and professional confidence expert. She is the founder of CommsRebel, a consultancy supporting organisations to build inclusive, high performing workplace cultures, and the co-founder of A Leader Like Me, an international agency focused on inclusive leadership and employee experience. Advita is the host of the Decoding Confidence podcast, which explores confidence at work through honest conversation and practical insight. Her forthcoming book, Decoding Confidence, will be published in May 2026. An international speaker and award winning podcaster, Advita regularly speaks on confidence, leadership, inclusion, and communications. In 2025, she was the President of the Chartered Institute of Public Relations in 2025.