The Future of Work has a Succession Problem

Rethinking work, leadership, and succession in an age of permanent uncertainty

The world has changed. Yet it sometimes feels like organisations haven’t caught up.

There was a time when uncertainty was something organisations managed through: a bad quarter. A disrupted supply chain. A new competitor.

Instability and disruption were treated as temporary — something organisations could absorb, survive, and eventually move past. As a result, many took a largely reactive stance, responding to change as it appeared rather than designing for it as a constant.

Today, that assumption no longer holds. Uncertainty is no longer an interruption to business — it is the operating environment.

Roles evolve, teams reconfigure, and strategies shift faster than ever before.

Organisations are becoming increasingly adept at adapting to change. The challenge is that many of the capabilities they depend on — judgment, trust, leadership, and succession—still require continuity to develop.

This tension sits at the heart of the future of work.

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The quiet structural shift already reshaping work

We often describe these changes positively: agile teams, flexibility, adaptability, portfolio careers and fractional leadership.

But beneath these terms lies a deeper structural change: in becoming more adaptable, we may have given up more continuity than we realise.

Across industries, work is being broken into smaller, shorter, and more fluid units. The rise of gig and platform models has enabled work to be “de-bundled” into tasks rather than long-term roles. Non-standard work arrangements continue to expand globally, while AI is accelerating task redistribution and role redesign at a pace few organisations have fully absorbed.

The scale of this shift is significant. The OECD’s Employment Outlook has consistently tracked the prevalence of non-standard work across OECD countries, estimating that around one in six workers were in non-standard arrangements. That estimate was published before the pandemic; subsequent shifts in labour markets suggest the trend has only accelerated. The International Labour Office (ILO)’s World Employment and Social Outlook also showed that platform-based work expanded rapidly during the pandemic.

The trend is particularly visible in parts of Asia. In China, estimates suggest that flexible employment now involves more than 200 million workers — representing over a quarter of the country’s total employed population and more than 40% of its urban workforce. What was once considered a peripheral segment of the labour market is increasingly becoming a mainstream way of working.

At the same time, organisations increasingly operate under conditions of persistent volatility: technological shifts, economic uncertainty, changing customer expectations, talent mobility and geopolitical instability.

The implication is subtle but profound: work is less stable now — but businesses still expect the benefits that stability brings.

 

The hidden costs of a short-term way of working

On the surface, short-term systems seem efficient. They offer flexibility, speed, room to scale, and lower long-term costs.

But over time, other problems start to show up quietly. And because they’re harder to spot, they often get ignored until they turn into bigger issues.

 

1. Capability becomes broad, but shallow

In fast-moving environments, adaptability becomes highly valued. Employees are expected to learn quickly, wear multiple hats, move across functions, grapple with AI and adopt new tools constantly. This creates breadth. But not always depth.

When work becomes highly transitional, fewer people expect to stay long enough to master a domain. Fewer organisations invest in long-horizon development. Expertise becomes fragmented.

One concern emerging in discussions around AI adoption is the risk of “deskilling” — where workers increasingly oversee systems without deeply developing the underlying judgment those systems are meant to support.

This debate has roots going back to Harry Braverman’s 1974 Labour and Monopoly Capital, which argued that industrial work systems systematically separate conception from execution. The AI-era version of this concern has been updated by economists like David Autor at MIT, whose research on labour market polarisation suggests that middle-skill, judgment-intensive roles face the greatest displacement pressure.

More recently, a 2023 Harvard Business School study found that consultants using AI performed significantly better on analytical tasks — but also showed signs of over-reliance and reduced independent thinking when AI was present. The capability gain was real. But so was the dependency it created.

AI can accelerate outputs. But it cannot substitute for contextual judgment built over time.

For SMEs, this creates a particularly important balancing act.

They often need generalists because leaner structures require people to wear different work ‘hats’ simultaneously and move across responsibilities quickly.

But agility alone is rarely sufficient.

As organisations grow, certain forms of depth become increasingly valuable: understanding legacy systems and historical ways of working, recognising operational patterns, making decisions under ambiguity, and knowing why previous decisions were made.

The challenge, then, is not choosing between generalists and specialists. Increasingly, SMEs need both: generalists who provide flexibility, and specialists who bring the expertise and judgment needed to navigate complexity and sustain long-term capability. In an environment defined by constant change, this combination of adaptability and depth may become one of the most valuable strengths organisations possess.

Read more: AI and the Human Touch: How Leadership Paves the Way 

 

2. Organisational memory weakens

In stable environments, knowledge compounds naturally. People remember why certain decisions were made, what failed previously, which relationships matter, and how problems were solved informally. Over time, this creates organisational memory.

But in high-turnover environments, context disappears faster. Tacit knowledge becomes fragile. Documentation and SOPs replace lived continuity — but that is rarely enough.

Organisational theorist Karl Weick’s work on sensemaking explains why: organisations don’t just store knowledge, they enact it through shared routines, narratives, and informal interpretation. High turnover doesn’t just lose information — it loses the interpretive framework that makes information useful. When new people join, they inherit the documents but not the judgment.

Deloitte’s Human Capital Trends research has identified knowledge retention as one of the top concerns for organisations undergoing rapid workforce transformation. IBM’s Institute for Business Value has similarly noted that tacit knowledge loss during workforce transitions is systematically underestimated — largely because it doesn’t appear on any balance sheet.

For SMEs, this shows up with painful familiarity: “We know this issue has happened before. But the person who understood it has already left.”

 

3. Succession planning slowly erodes

This may be one of the least discussed consequences of a short-term work culture.

Traditional succession planning assumes a relatively stable pipeline: people grow into roles, institutional knowledge transfers gradually, future leaders are identified early and developed intentionally. But increasingly, mid-level layers are thinning, tenure periods are shortening, and leadership readiness is becoming harder to observe.

Succession becomes reactive instead of developmental. Not because organisations don’t value leadership continuity — but because continuity itself feels less certain.

The evidence shows this. DDI’s Global Leadership Forecast — published biennially and drawing on tens of thousands of leaders across industries — found in its 2023 edition that only around 12% of companies felt they had a strong bench of future leaders ready to step up. That figure has been declining across successive reports. DDI specifically attributes this to shorter average tenure, reduced development investment, and the hollowing out of middle management layers.

Korn Ferry research reinforces the point: succession planning in many organisations has shifted from developmental (growing people over time) to transactional (filling seats when they empty). The pipeline hasn’t just thinned — it has changed character entirely.

Succession planning depends on accumulated trust, exposure, and memory. All three become harder to build in fragmented systems. This challenge is particularly acute for SMEs, where leadership depth is often concentrated in just a few key individuals.

 

4. Leadership itself is changing because work is changing

Much of modern leadership development was designed for a different world of work — one characterised by clearer hierarchies, longer tenure, more predictable progression pathways, and relatively stable organisational structures.

In those environments, leadership often meant creating certainty: providing direction, reducing ambiguity, and having answers.

But today, uncertainty is taking on a different form. Research on the future of work increasingly frames it not as a temporary disruption, but as a persistent feature of modern systems.

This changes what organisations need from leaders. What is needed from them is not certainty alone, but coherence: the ability to help people navigate ambiguity without becoming paralysed by it.

As work becomes more fluid, leadership increasingly depends on sense-making, judgment, visible thinking, and emotional steadiness.

One of the most transferable leadership capabilities today may be the ability to explain how decisions are made when information is incomplete. By making their thinking visible, leaders help others understand how to navigate ambiguity, weigh competing priorities, and exercise judgment under uncertainty.

This is similar to the idea behind the proverb, “Give a person a fish and you feed them for a day; teach them how to fish and you feed them for a lifetime.” The goal is not simply to provide answers, but to develop the capability for sound decision-making in others.

Organisations often learn fastest not when leaders have all the answers, but when people throughout the organisation understand how to think through uncertainty together.

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The effects extend beyond the organisation

There is a deeper implication beneath all of this — one that rarely features in discussions about the future of work.

If work becomes increasingly temporary, continuity does not only weaken inside organisations. It also becomes harder to sustain more broadly. The same conditions that make long-term capability difficult to build at work can also make long-term life planning more uncertain for individuals.

Research has linked precarious work to delayed family formation and weaker long-term planning, particularly among younger adults. This has been documented in Japan and parts of Europe, where non-standard employment is associated with declining marriage and fertility rates. The World Economic Forum has similarly noted that more non-linear career paths create both opportunity and gaps in social infrastructure.

The question is whether systems still preserve enough continuity for trust, development, and stability to build over time. When uncertainty becomes widespread, people delay commitment, institutions weaken, and what appears to be a workforce issue begins to look more like a systems problem.

 

What this means for SMEs specifically

The future of work conversation often focuses on technology or AI adoption. But for many SMEs, the deeper challenge is organisational continuity.

In this context, continuity does not mean stability in the traditional sense. It means the ability to adapt to changing conditions while preserving the judgment, trust, and standards that allow organisations to function effectively over time.

SMEs face a unique challenge in this environment. Leaner teams often mean greater reliance on individual expertise and institutional knowledge, making succession risks more acute when key people leave.

At the same time, AI and new technologies are enabling smaller organisations to do more with fewer people. Tasks can be automated and teams can scale output more quickly than before.

However, the ability to scale does not eliminate the need for succession planning. In fact, it may make it more important. As organisations become leaner, there are fewer people available to absorb knowledge gaps, challenge assumptions, or provide continuity when key individuals move on.

The opportunity is not just to become more efficient, but to become organisations that can adapt faster, scale more effectively, and do more with fewer people — without losing coherence.

 

Here are four areas to rethink:

#1 Build capability, not just coverage

The instinctive response to talent fluidity is to hire for flexibility — people who can do multiple things at once. While that’s often necessary, it shouldn’t be at the expense of depth.

As organisations become leaner and more AI-enabled, the value of human capability shifts. The challenge is no longer simply executing tasks efficiently. Increasingly, it is about exercising sound judgment when situations are ambiguous, trade-offs are involved, or information is incomplete.

Judgment is often built through constant exposure to different types of situations. It develops when people learn to:

• evaluate competing options
• understand the trade-offs behind decisions
• recognise early indicators of success or failure
• anticipate unintended consequences
• adapt decisions when circumstances change

This is difficult to teach through formal training alone.

Instead, it is developed through consistent participation in real decisions, exposure to uncertainty, and discussions about why choices were made — not just what was decided.

For SMEs, this means creating opportunities for emerging talent to observe and contribute to decision-making earlier. Rather than shielding employees from complexity, organisations can use it as a developmental tool.

This becomes even more important as AI becomes embedded in workflows.

The opportunity is not AI as replacement, but AI as an enabler of scale. Smaller teams can produce more, move faster, and cover more ground — but only if people retain the ability to interpret, challenge, and make decisions around AI-generated outputs.

In this sense, capability is what allows SMEs to scale without losing quality.

 

#2 Preserve institutional memory intentionally

In lean organisations, knowledge often sits with individuals. But documenting everything is not the answer, because much of the most valuable knowledge is contextual rather than procedural.

New employees can inherit a process without understanding why it exists. They may know what to do, but not what problem it was originally designed to solve, what trade-offs shaped it, or what lessons were learned from previous decisions.

This is where many organisations unintentionally lose institutional memory.

Preserving knowledge is therefore not simply about recording information. It is about transferring context.

For SMEs, one of the most effective ways to do this is through deliberate onboarding and knowledge sharing. Beyond explaining tasks and processes, organisations should help people understand how for instance, key client relationships were built, how important decisions evolved over time, and how the organisation approaches trade-offs when priorities compete.

The goal is not to create more documentation or meetings. But to ensure that as organisations grow, evolve, and bring in new people, the reasoning, context, and judgment behind important decisions are carried forward as well.

 

#3 Redesign succession pipelines for a fluid environment

Traditional succession pipelines are built for stability and long timelines. Most SMEs now operate in shorter cycles.

Continuity, in this environment, is not about fixed successors. It is about ensuring that multiple people can exercise sound judgment when conditions change.

Practically, this means:

• identifying more than one potential successor for critical roles
• exposing emerging leaders to increasingly complex decisions earlier in their careers
• reducing knowledge silos by ensuring critical expertise and organisational context are shared across teams

This allows SMEs to adapt quickly without losing decision quality — which becomes more important than hierarchy in fluid systems.

Read more: Embracing and Managing a Multigenerational Workforce 

 

#4 Adapt while preserving critical judgment

As AI becomes embedded into workflows, SMEs have greater opportunities to do more with less — serving more customers, processing more information, and responding faster to change without increasing headcount at the same pace.

But the opportunity is not simply about efficiency.

In a future where organisations are leaner and technology-enabled, competitive advantage may increasingly come from the ability to adapt while preserving critical judgment. More information does not automatically lead to better decisions, and faster outputs do not always translate into better outcomes.

In this context, continuity is not about maintaining the same structures or ways of working. It is about preserving the judgment, trust, and standards that enable organisations to make sound decisions as conditions change.

For SMEs, this means:

• leveraging AI to increase productivity, responsiveness, and organisational capacity, while ensuring people retain the ability to challenge assumptions and evaluate outcomes
• preserving critical expertise, customer knowledge, and organisational context so that judgment is shared across the organisation, rather than concentrated within a few individuals
• developing future leaders who understand not just what decisions were made, but the trade-offs, considerations, and context behind them

The SMEs that thrive may not be the largest or most technologically advanced, but those that can adapt quickly while preserving the judgment, trust, and standards that underpin long-term performance.

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Closing thought

The future of work will remain fluid. Roles will continue to evolve, career paths will become less linear, and technology will keep reshaping how work is organised and distributed.

Yet organisations still depend on capabilities that cannot be generated on demand: expertise, judgment, trust, and leadership. These are not built through speed alone. They develop over time through accumulated experience, exposure to real decisions, and a shared understanding of how and why choices are made.

This is why succession matters.

Not simply as a process for replacing people, but as a mechanism for developing and transferring the judgment that organisations depend on to operate effectively. In increasingly fluid environments, continuity is no longer defined by tenure or stability. It is defined by an organisation’s ability to preserve critical judgment, context, and decision-making capability even as people, roles, and technologies evolve.

The future of work therefore presents a paradox. As AI enables organisations to become leaner, faster, and more adaptable, long-term success still depends on forms of human judgment, expertise, and leadership that require deliberate investment to develop.

The organisations that succeed may not be those that move fastest, adopt technology first, or operate with the fewest people. They may be those that are most intentional about building expertise, transferring knowledge, and developing future leaders who can exercise sound judgment in changing conditions.

In a world of constant change, continuity is no longer about keeping things the same. It is about ensuring that good judgment endures, even when everything else does not.

This article is contributed by Sara Gopal, Research Manager, IndSights Research.