Top 15 global trends reshaping work and society in 2026

As we move deeper into 2026, the world of work is shifting in ways that feel both exhilarating and unsettling. The rules that governed careers, organisations and social mobility for decades are being rewritten in real time.

Building on my previous writings – ranging from South Africa’s 2025 budget impacts and earned wage access, to AI integration in workforce planning, CEO succession dynamics, RemCo governance calendars, and the generational handover in middle management – I turn now to the broader global forces shaping work and society.

These forces are not subtle. AI is dismantling hierarchies, fraud is being industrialised, and investors are increasingly treating “people” not as a soft narrative but as a hard driver of value. Supported by data from sources such as Gartner, McKinsey and Experian, this two-part series examines 15 key trends with a simple provocation: why do we persist with outdated models when innovation offers pathways to greater equity, resilience and performance?

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Part 1 focuses on the structural engine room of change: AI-driven organisational redesign, the erosion of trust through synthetic deception, and the rise of human capital and ESG as investor-grade metrics.

Part 2 will explore the human response: Gen Z’s reframing of the psychological contract, the rise of gigs and portfolio careers, wellbeing as a performance constraint, and the geopolitical/local volatility shaping everything from capital flows to South Africa’s GNU realities.

AI and digital transformation: The erosion of trust and the rise of human judgement

Artificial intelligence is compressing the intermediate layers of knowledge work – the space where routine analysis, report drafting and benchmarking have historically lived.

Gartner’s (2024) predictions are blunt: by the end of 2026, one in five organisations will use AI to optimise their structures, potentially eliminating more than half of existing middle-management roles.

Put differently, the “middle” of the corporate pyramid is being stress-tested by automation.

This does not automatically mean organisations become better. It simply means the old justification for large supervisory layers is weakening. The question becomes what replaces that layer: higher-quality judgement, ethical governance, coaching, cultural stewardship and decision-making in complexity, or leadership vacuums and chaos.

We already have real-world indicators. Companies such as Dell and Amazon have streamlined management tiers to improve efficiency, though not without debate about mentoring capacity and the loss of traditional developmental pathways (Hoque, 2024).

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The old model of cumbersome bureaucracy simply no longer holds up – and the provocation becomes unavoidable: why maintain frameworks that hinder creativity when AI can liberate individuals to focus on strategic contributions?

Yet McKinsey (2024) offers a cautionary note: productivity gains will not materialise at scale without reskilling and targeted retraining. Without that, the “AI dividend” becomes a temporary cost cut rather than a sustainable performance uplift.

The hard leadership question is therefore not “how quickly can we automate?”, but “how quickly can we develop the distinctly human strengths AI cannot replicate?”

AI is also changing the identity of management itself. Middle management is shifting from traffic control to guardianship: ethics, organisational culture, trust-building, and the orchestration of collaboration.

That shift is reinforced by the broader “trust crisis” unfolding in parallel, and it is no accident that Forrester (2025) forecasts a 40% increase in spending on deepfake detection technologies. In a world of synthetic media and manipulated information, leadership is not merely about efficiency – it becomes about integrity.

The trust economy: Deepfakes, fraud, and verification as strategy

If 2020-23 were about digital adoption, 2024-26 are becoming about digital deception. Deepfakes, synthetic identities, AI-generated inaccuracies and sophisticated fraud are undermining confidence in data and decision-making processes.

Experian’s 2026 forecast anticipates a surge in AI-enabled fraud on the back of the $12.5 billion in losses recorded in 2024. High-profile incidents such as the $25 million deception at Arup involving AI-simulated executives show the risk is not theoretical – it is already operational (Fast Company, 2025).

The uncomfortable question is: why tolerate the proliferation of unregulated digital tools that erode the foundations of reliable choices?

Forrester (2025) projects deepfakes evolving from reputational nuisance into direct economic exploitation. Organisations are responding accordingly, with spending on deepfake detection rising across industries – from financial services combating deception to HR departments preventing fabricated identities from entering payroll and systems. Trust is becoming a strategic asset, not a cultural slogan.

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Vectra (2026) goes further, urging multi-layered protections against increasingly sophisticated manipulations, citing a 1 210% rise in AI-related scams during 2025. Oscilar (2026) highlights the scale of the threat: AI-driven fraud could reach $40 billion annually by 2027. When trust becomes scarce, verification becomes strategy.

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This is where leadership maturity is tested. Because the answer is not simply “buy detection tools”. It is to build trust infrastructure: identity controls, digital literacy, ethical AI standards, governance processes, and culture. If trust belongs to no one in your organisation, it effectively belongs to the scammers.

People-centric strategies: From headcount to holistic value

Alongside automation and trust risk, people strategy is shifting from fragmented HR initiatives towards unified employee propositions. The employee experience is increasingly treated as an integrated system: rewards, career opportunity, culture, purpose, wellbeing and flexibility combined into a coherent Employee Value Proposition (EVP).

21st Century’s trends for 2024-25 indicate that roughly 60% of leaders are placing EVP at the forefront to attract top talent. That integrated perspective challenges the traditional fragmentation of HR practice: why divide support mechanisms when a cohesive approach can materially improve engagement?

Economic pressure makes this more urgent. Mercer (2025) notes that pressures are disproportionately affecting hourly workers, reinforcing the need for equity in these strategies rather than flexibility-as-privilege.

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Meanwhile, productivity is now displacing headcount as the primary signal of organisational growth. McKinsey (2024) argues that AI-enhanced efficiencies can enable greater output from smaller teams – and warns that productivity growth has slowed to roughly 1% since 2016 in advanced economies, underscoring the imperative to modernise.

Why allocate resources to bloated frameworks when streamlined teams can produce abundance?

Flexibility remains contested. The World Economic Forum (2025) observes that return-to-office mandates often conflict with the preferences of skilled talent.

Stratified flexibility – where some roles get autonomy and others do not – can erode morale among those excluded. The leadership question becomes: are you rebuilding community – or rebuilding supervision?

Pay transparency is another accelerant. Regulations across more than 15 US states and in South Africa (the proposed Fair Pay Bill) are pushing disclosure and forcing organisations to confront internal contradictions on fairness (Foley & Lardner, 2025).

EY’s 2025 findings reinforce that Gen Z increasingly prioritises work-life balance and meaningful work over hierarchical advancement. SHRM (2024) recommends incorporating wellbeing into performance indicators to prevent productivity strategies turning into exhaustion strategies. The provocation is simple: why perpetuate secrecy when openness builds trust and accountability?

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Investment and accountability: Human capital meets ESG metrics

Perhaps the biggest quiet revolution is happening in investor logic. Human capital is increasingly treated as an investor-grade asset, with wellbeing metrics correlating to revenue growth and market valuation.

WTW’s 2025 research links wellbeing and people metrics to enhanced financial performance and there are estimates that 92% of S&P 500 value now derives from intangible assets, much of it driven by human factors (Ocean Tomo, 2025).

Why undervalue the workforce when it underpins such a substantial portion of enterprise worth?

Challenges in quantification remain – unreported intangibles represent 79% of global corporate value, implying that markets still struggle to “see” what truly drives performance (Brand Finance, 2024).

Investor pressure is rising accordingly: BlackRock (2025) has pushed for stronger human capital disclosure in proxy statements. The question boards must answer is uncomfortable but unavoidable: is your talent portfolio a strategic asset – or a hidden liability?

ESG is evolving in parallel, shifting from narrative to enforcement mechanisms. GECN (2025) reports that 74% of S&P 500 companies now incorporate ESG metrics into executive incentives, with adoption stabilising through 2023.

The Conference Board similarly tracked high incorporation levels in 2025. Meridian (2024) notes the plateau effect and ongoing scrutiny, suggesting the field is maturing and being tested whilst WTW (2025) observes ESG-linked payout outcomes aligning closely with financial benchmarks, averaging 123% in North American short-term incentives.

The governing principle is simple: incentives reveal what an organisation truly values. The leadership question is whether ESG metrics are meaningful and audited – or cosmetic and gamed. Beware because stakeholders increasingly interpret vague ESG claims as theatre.

This article is based on research conducted by Dr Chris Blair of 21st Century, one of the largest remuneration and HR consultancies in Africa. Please contact us at info@21century.co.za for any further information.

Dr Chris Blair, Group Director of 21st Century.

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