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Why Alignment, Agility and AI Matter More Than Ever
The future of work has been a favourite conference topic for years. But increasingly, it feels less like something we’re preparing for and more like something we’re already trying to navigate.
AI is changing how work gets done. Hybrid working has fundamentally altered expectations around where and when people work. Digital transformation continues to reshape roles and operating models. At the same time, the relationship between employers and employees is evolving as people reconsider what they expect from their careers, managers and organisations.
In a recent episode of the HRchat Podcast, I spoke with Kevin Empey, founder of Work Matters and author of Thrive in the Future of Work, about what all this means for HR leaders, employers and employees.
Our conversation covered everything from generative AI and hybrid working to employee engagement, early careers and the skills people will need to remain relevant. But one theme stood out in particular: perhaps one of the biggest challenges facing organisations isn’t simply engagement. It’s alignment.
A Decade of Workplace Disruption
It’s easy to forget just how much the workplace has changed in a relatively short period.
The past decade has seen an extraordinary acceleration in digitalisation. Cloud technology, collaboration platforms and increasingly sophisticated automation had already begun changing how organisations operated before the pandemic. COVID-19 then forced millions of employees and employers into a huge, unplanned experiment in remote work.
Many of the assumptions surrounding office-based work were challenged almost overnight.
Then came generative AI.
What makes the current wave of technological change particularly significant is the speed at which AI capabilities are developing and spreading. Previous workplace transformations often unfolded over years. Today, organisations can find themselves facing fundamentally new capabilities, tools and competitive pressures within months.
For HR leaders, this means workforce planning can’t simply be based on what jobs look like today. We increasingly need to think about how roles, skills and organisational structures might evolve as AI becomes embedded in everyday work.
Are We Solving the Wrong Engagement Problem?
Employee engagement has become one of HR’s most persistent priorities.
Organisations invest significant amounts of money in engagement surveys, wellbeing initiatives, employee listening programmes, recognition platforms and culture projects. These can all have value. But Kevin raises an important question: what if declining engagement is sometimes a symptom rather than the underlying problem?
The more fundamental issue may be an alignment gap between what organisations need from their people and what employees increasingly expect from their employers.
Businesses are under pressure to improve productivity, control costs, adopt new technologies and respond more quickly to changing markets. Employees, meanwhile, may be looking for greater flexibility, meaningful work, career development, autonomy and security.
Neither side is necessarily being unreasonable.
The problem comes when those expectations drift too far apart.
This is where HR has an important role to play. Rather than focusing solely on making employees more “engaged”, organisations need to create greater clarity around the employment relationship itself.
What does the organisation need from its workforce? What can employees reasonably expect in return? Where is flexibility possible? Where are there genuine business constraints? And how do we build an employment proposition that works for both sides?
Those questions may be harder than adding another engagement initiative, but they’re also far more important.
Hybrid Work Is Really About Trust and Purpose
The return-to-office debate remains one of the most visible examples of this tension.
Some organisations are pushing for greater office attendance, while many employees remain reluctant to give up the flexibility they gained during the pandemic. Too often, the debate gets reduced to a simplistic argument between executives demanding people return and employees wanting to work from home.
The reality is more nuanced.
Different jobs require different levels of collaboration, concentration, customer interaction and physical presence. There isn’t a single model that works for every organisation or every employee.
The better question isn’t simply “How many days should people be in the office?”
It’s “What are we trying to achieve by bringing people together?”
There may be compelling reasons for teams to spend time together: collaboration, innovation, relationship-building, mentoring and cultural connection among them. But organisations need to be able to articulate those reasons.
Mandating attendance without explaining the purpose risks reinforcing the very alignment gap we’re trying to close.
AI Will Change Jobs, Not Just Automate Tasks
Much of the conversation around AI and employment still focuses on whether technology will “replace jobs”.
That’s understandable, but it can also obscure the more immediate transformation already underway.
AI is changing the composition of jobs.
Tasks that once required significant amounts of human time can increasingly be automated or accelerated. Research, administration, analysis, content creation, coding and customer support are among the many areas being affected.
This creates opportunities for organisations to improve productivity and allow employees to focus on higher-value work. But it also creates difficult questions about job design.
If AI removes 20, 30 or 40 per cent of the tasks associated with a particular role, what happens to the rest of that job?
Do employees simply do more work? Do roles become broader? Do organisations reduce headcount? Or can that capacity be redirected towards more valuable, creative and human activities?
These aren’t purely technology questions. They’re workforce questions — and HR needs to be heavily involved in answering them.
The Early-Career Challenge
One area that deserves considerably more attention is the impact of AI on early-career roles.
For generations, people have entered professions by completing relatively junior tasks while learning from more experienced colleagues. Graduates and junior employees have traditionally built expertise by doing the research, administration, analysis and foundational work that sits beneath more senior responsibilities.
But these are exactly the types of tasks AI can increasingly perform.
That creates a potential paradox.
Organisations may be able to reduce their reliance on junior employees in the short term, but where will the experienced professionals of the future come from if businesses stop creating opportunities for people to learn?
We need to rethink early careers rather than simply eliminate entry-level work.
That might mean redesigned graduate programmes, more emphasis on apprenticeships, structured mentoring, rotational experiences and giving younger employees earlier exposure to judgement-based and relationship-driven work.
The organisations that solve this problem well won’t just be helping the next generation. They’ll be protecting their own future talent pipelines.
Career Agility Is Becoming a Core Skill
Perhaps one of the biggest mindset changes required is how we think about careers themselves.
The traditional model of learning a profession, gradually progressing through increasingly senior roles and relying on that expertise for several decades is becoming less predictable.
That doesn’t mean expertise no longer matters. Quite the opposite. But expertise increasingly needs to be combined with adaptability.
Employees will need to become more comfortable learning new tools, developing adjacent capabilities and potentially reinventing parts of their careers several times.
For employers, that means continuous learning can’t simply be an L&D slogan.
Organisations need to create environments where employees can build new skills before their existing ones become obsolete. Managers need to become better at having conversations about changing roles and capabilities. And employees themselves will increasingly need to take ownership of their development.
Career agility may become every bit as important as career progression.
HR Has an Opportunity to Shape What Comes Next
There is plenty of anxiety surrounding the future of work, particularly when AI enters the conversation. Some of that concern is justified. Jobs will change. Certain roles will disappear. New ones will emerge. The skills organisations value will continue to evolve.
But HR shouldn’t simply be reacting to those changes.
This is an opportunity for the profession to help shape them.
HR leaders can influence how organisations redesign jobs, introduce AI responsibly, develop future skills, rethink early-career opportunities and build working models that balance organisational performance with employee expectations.
Perhaps most importantly, HR can help close the alignment gap between what businesses need and what their people want from work.
The organisations most likely to thrive won’t necessarily be those with the most advanced technology or the most generous employee perks. They’ll be the ones capable of continuously adapting their people, structures and expectations as the world around them changes.
And increasingly, adaptability isn’t simply a future-of-work capability.
It’s the work.
Listen to the HRchat Podcast
In this episode of the HRchat Podcast, I speak with Kevin Empey, founder of Work Matters and author of Thrive in the Future of Work, about AI, hybrid work, employee expectations, the alignment gap, early careers and what organisations can do to prepare their people for an increasingly uncertain future.
If you enjoy the conversation, please subscribe to the HRchat Podcast, leave a review and share the episode with colleagues who are helping shape the future of work.
Connect with Kevin Empey on LinkedIn:
https://www.linkedin.com/in/kevin-empey-4968731b/
