If AI Reshapes Work, What Happens to the Communities That Catch People When Jobs Change?

Artificial intelligence is often described as the next major workforce transformation. History suggests the bigger question is not the technology itself, but what happens to people and communities while society adjusts to it.

Most technological revolutions do not begin with dramatic moments that everyone recognises at the time. The Industrial Revolution did not begin with factories covering the landscape. It began with small signals — new machines appearing in workshops, familiar jobs starting to change, communities noticing that the way people worked was shifting. Artificial intelligence feels a lot like that moment. The signals are already here.

Aotearoa has always been a little different. It sits far from most places, its economy has its own shape, and over time it has developed strong expectations around fairness and looking after people when things go wrong. In many ways that instinct is right. But when big technological changes arrive, the pattern tends to repeat. New tools appear. Work starts to shift. Some jobs grow while others fade away. Eventually whole industries reorganise around the new technology.

The difficult part is the period in between — the part that tends to get forgotten when history is told as a story of progress. For Aotearoa, that transition period matters. New Zealand has built a network of public services and community organisations designed to support people when economic change hits their lives: a publicly funded health system, income support, and community organisations that step in when families are under pressure. How artificial intelligence reshapes the workforce will influence how much those systems are asked to carry. Looking back at earlier technological shifts helps us notice the signals before the full change arrives.

The Industrial Revolution

Steam powered machinery began transforming work in the late eighteenth century. Production gradually moved out of small craft workshops and into factories. Cities grew quickly as people left rural communities in search of wages, and over time the economy expanded dramatically. But the transition was disruptive.

Before mechanisation, spinning yarn was one of the most common forms of paid work available to women and children in Britain. In many rural households spinning was not just occasional work — it was the income that kept families afloat between harvests. When mechanised mills began producing yarn faster and more cheaply, that work disappeared quickly. For many families the change arrived not as a technological breakthrough but as the quiet loss of a livelihood. Historians estimate that hundreds of thousands of people relied on hand spinning as a source of income in the late eighteenth century. Machines such as the spinning jenny and the water frame replaced much of that labour quickly as textile production surged.

The economy grew, but the structure of work changed. Workers had none of the protections we now consider normal — no unemployment benefits, no workers compensation, no public health systems. When livelihoods disappeared, families absorbed the shock themselves. Economic historians note that industrialisation eventually improved living standards overall, but during the early decades many working families experienced instability before those gains were widely shared. Over time governments responded with labour laws, public health reforms and social protections. Technological progress continued, but societies learned they needed systems that helped people survive the transition.

"Technological revolutions do not just create new industries. They also reveal which systems a society has built to support the people caught in transition."

Electricity, Mass Production and the Depression

Electricity reshaped industry again in the early twentieth century. Factories could run more efficiently and continuously, and assembly line production dramatically reduced the cost of manufacturing goods, expanding industries such as automobiles and household appliances. Productivity surged. But economic stability did not always follow technological progress.

The Great Depression showed how fragile labour markets could be when large numbers of jobs disappeared at once. In the United States unemployment reached roughly one quarter of the workforce in 1933. New Zealand also experienced severe hardship, with tens of thousands of unemployed men placed in government relief work programmes during the early 1930s. Those experiences shaped the reforms of the first Labour Government after 1935. The Social Security Act of 1938 established pensions, unemployment benefits and expanded healthcare support. New Zealand's welfare state grew directly out of that period, recognising that when economic change arrives faster than social protection, communities carry the cost.

The Computer and Internet Revolution

Computers reshaped the workforce again in the late twentieth century. Digital technology automated calculations, record keeping and communication, and tasks that once required large clerical workforces gradually disappeared as software systems spread through offices. At the same time entirely new industries emerged — software development, information technology services, digital communications, and online commerce. Economists studying long term labour trends estimate that around sixty percent of jobs in the United States in 2018 did not exist in 1940.

Technology rarely removes work altogether. More often it changes what people spend their time doing. But the transition is rarely smooth. Automation reduced demand for routine administrative roles while demand increased for both highly skilled technical work and lower paid service jobs — a pattern economists describe as labour market polarisation. Many workers eventually found new employment, but often at lower wages. The pattern repeated itself. Technological progress created new work overall, but the transition could still be difficult for communities caught in the middle.

"The question is not whether work will change. History tells us it will. The real question is whether we recognise the signals early enough to shape what comes next."

A Pattern That Repeats

Looking across these periods, a pattern starts to appear. During the Industrial Revolution machines replaced large amounts of physical labour, and factory work and industrial production expanded in its place. With electrification and mass production, manual manufacturing processes became mechanised and large scale industry accelerated. Computers and the internet automated clerical work and information processing, and in response the digital and knowledge economy grew.

Artificial intelligence appears to be following the same path. The early changes are happening in routine thinking tasks such as drafting, analysis and administrative work. Over time this may reshape how many professions organise their work. History suggests the first changes happen inside jobs — the larger shifts in industries tend to come later.

Artificial Intelligence

Artificial intelligence is widely seen as the next technological transformation of this scale. Earlier waves of automation mainly replaced physical labour or repetitive calculations. Artificial intelligence can now help with tasks such as writing, coding, research, drafting reports and analysing information. Research suggests generative AI could automate tasks that represent roughly a quarter of current work hours in advanced economies, and other analysis suggests around forty percent of jobs globally may be exposed to AI in some way, with higher exposure in advanced economies.

Exposure does not automatically mean jobs disappear. In many cases the technology changes tasks within jobs rather than removing whole occupations. But what is different this time is speed. Electricity took decades to spread across industry. The internet took roughly twenty years to reach global scale. Artificial intelligence tools have spread worldwide in only a few years.

Why This Matters in Aotearoa

New Zealand enters this transition with some advantages. Food and fibre industries remain central to the economy, with agriculture, horticulture, forestry and seafood accounting for a large share of goods exports. Many major employment sectors rely heavily on human interaction and physical presence — healthcare, aged care, construction trades, early childhood education, and hospitality. These roles depend on judgement, trust and relationships. But the country is not insulated from change.

Recent surveys suggest most New Zealand organisations are experimenting with artificial intelligence tools. In one national survey more than four in five organisations reported using or trialling AI in some form, and around seventy percent of New Zealand CEOs say AI is already improving productivity in their organisations. Entry level roles appear to be among the first affected, as many involve routine tasks such as document drafting, research summaries and administrative processing. Research from labour economists suggests around sixty percent of tasks in entry level administrative roles involve routine information processing — exactly the type of work AI systems are beginning to assist with. That does not mean these roles disappear, but it may change how organisations train and develop new professionals.

Signals to Watch in the Next 12 to 24 Months

Technological revolutions rarely begin with dramatic headlines. They begin with small signals. One signal is changes in entry level hiring — many junior roles historically existed to perform routine tasks while workers learned the profession, and artificial intelligence can now perform some of those tasks quickly. Another signal is the changing nature of administrative work, as tasks such as writing reports, summarising meetings and analysing documents can now be partially automated. A third signal involves training pathways: if entry level roles shrink, professions will need new ways to help people gain experience and build skills. Finally there is the growing importance of human centred work. As automation increases elsewhere, roles that rely on trust, empathy and judgement often become more valuable rather than less.

"Artificial intelligence may change the tasks people perform, but the work built on trust, empathy and human connection remains essential."

What This Means for the Social Sector

Aotearoa has built a network of public services and community organisations designed to support people through economic disruption. These systems already support people facing unemployment, housing stress, family violence, addiction and mental health challenges, and community providers across New Zealand report rising demand alongside funding pressure. If technological disruption increases economic uncertainty for certain groups — particularly younger workers or those in administrative roles — demand for social services may increase further. That is why the social and community sector needs a voice in conversations about the future of work. Community organisations often see the human consequences of economic change long before the statistics appear.

A Final Thought

Technological revolutions rarely arrive with a clear announcement. At first they appear as scattered signals — a new tool here, a change in hiring there, a profession quietly shifting. Only later do those signals reveal the scale of the change that was already underway. Artificial intelligence is likely to be one of those moments.

The question is not whether work will change. History tells us it will. The deeper question is what happens to the people who experience that change first. New Zealand has something many countries have struggled to build: a network of public institutions and community organisations designed to support people through economic disruption. If those systems remain strong, technological progress can lift communities along with productivity. But if those systems weaken while the transition accelerates, the human cost will fall on the same groups it always has.

Across Aotearoa, community organisations already see the early signs of pressure in families, workplaces and local services. That is why the conversation about artificial intelligence cannot sit only with technologists or economists — it also belongs to the people working closest to communities. The mahi happening in community organisations across Aotearoa every day — supporting whānau, navigating crises and building resilience — is exactly the kind of work technology cannot replace. The real test of this moment may not be how quickly we adopt new technology, but whether we strengthen the systems that help people through the transition.