Technology does more than help us accomplish what we already want to do. It changes what we can imagine, how we organise our lives and which futures become available to us.
When we think about technological progress, we tend to think about new capabilities. Machines become faster, computers become more powerful, and artificial intelligence takes on tasks that previously required human expertise. We measure progress through what technology can accomplish, how much time it saves and which problems it can solve.
This way of understanding technology is useful, but incomplete. Technology does not simply provide new ways of achieving goals that already exist. It also changes the conditions under which we decide what those goals should be. It influences how we work, communicate, learn and participate in society, often in ways that extend far beyond the purposes for which it was originally developed.
Consider the smartphone. It was not simply a more convenient telephone or a smaller computer. By combining communication, navigation, photography, information and countless other functions in a device that accompanies us throughout the day, it changed our expectations about availability, access and everyday life. Activities that once required planning, specialised equipment or physical presence became possible almost anywhere. At the same time, the boundaries between work and private life shifted, and new forms of dependence on digital services emerged.
The smartphone did not merely make existing activities more efficient. It helped reorganise the circumstances in which those activities take place.
Artificial intelligence may be producing a comparable transformation, although its long-term consequences remain uncertain. As AI systems become capable of generating content, analysing information, supporting decisions and interacting with people through natural language, they are changing what individuals and organisations can accomplish. But they may also change which capabilities people develop, how expertise is understood and who gets to influence decisions.
These developments invite us to reconsider a familiar assumption about technological progress: that humans define their objectives, develop tools to achieve them and remain essentially unchanged by the process.
The relationship is more complicated. We shape technology through our choices, priorities and institutions, but the technologies we create also influence our capabilities, habits and expectations. They change what becomes practical, affordable, desirable or even imaginable.
Understanding this relationship is essential if we want to do more than adapt to technological change. It is a starting point for shaping the possibilities that change creates.
Tools change the people who use them
Human history is inseparable from the development of tools. From early agricultural technologies to industrial machinery and digital networks, new capabilities have transformed how people interact with their environments and organise their societies.
A tool may initially be developed to solve a particular problem, but its influence rarely ends there. Agricultural technologies made it possible to produce food in new ways, while also contributing to changes in settlement patterns, labour and social organisation. Printing technologies expanded the possibilities for reproducing and distributing knowledge, influencing education, religion, politics and the circulation of ideas. Industrial machinery transformed production, but also changed where people lived, how work was organised and the relationship between individuals and institutions.
These developments were not determined by technology alone. Political decisions, economic interests, cultural practices and social conflicts influenced how technologies were introduced and used. Similar technologies could produce different outcomes in different societies, depending on the institutions and values surrounding them.
Nevertheless, the technologies themselves mattered. They changed the range of activities that could be performed and the resources required to perform them. By making some activities easier and others less necessary, they influenced the choices available to individuals and organisations.
The relationship between tools and human capabilities is particularly interesting because it works in both directions. We develop technologies to extend our abilities, but using those technologies can also change which abilities we practise and how we understand them.
Writing technologies provide an example. Recording information outside the human mind made it possible to preserve knowledge, communicate across time and develop increasingly complex systems of administration and scholarship. But writing also changed the relationship between knowledge and memory. Information no longer had to be retained entirely through individual recollection or oral transmission, and new forms of intellectual work became possible.
Digital technologies have extended this process. Search engines have changed how we locate information, navigation systems have changed how we find our way, and communication platforms have altered how we maintain relationships. These tools can make us more capable, but they also influence which skills we rely on and which activities we delegate to technological systems.
The consequences are not necessarily losses. A capability that becomes less important in one form may be replaced by more valuable capabilities in another. The ability to retrieve information quickly, evaluate competing sources or collaborate across distances may matter more in some circumstances than remembering large quantities of factual information.
The important point is that technologies do not leave their users unchanged. They participate in shaping the capabilities and practices through which people engage with the world.
The difference between solving problems and creating possibilities
Technological development is often organised around identifiable problems. An organisation wants to reduce administrative costs, a company wants to improve customer service, or a public institution wants to make information more accessible. A technological solution is evaluated according to how effectively it addresses the existing challenge.
This approach is understandable. Organisations need clear objectives, budgets and criteria for success. But focusing exclusively on existing problems can limit our understanding of what technology makes possible.
When a new capability emerges, it may enable activities that were previously too expensive, difficult or impractical to consider. These opportunities are not always visible through the problems that originally motivated technological development.
Consider the development of digital communication. Early applications often focused on making established forms of communication faster and more convenient. Over time, however, digital networks enabled new ways of collaborating, publishing, organising communities and delivering services. The significance of the technology extended beyond improving existing communication processes because it changed the conditions under which people could interact.
A similar distinction can be made in the current development of artificial intelligence. An organisation may introduce AI to accelerate report writing, automate customer enquiries or improve the analysis of internal information. These applications can create value, but they largely reproduce familiar activities with greater efficiency.
A more ambitious approach would examine whether AI enables the organisation to do something fundamentally different. Could employees gain access to analytical capabilities that were previously unavailable? Could services become more responsive to individual circumstances? Could people with different abilities participate in activities from which they have historically been excluded? Could new forms of collaboration emerge between professionals, organisations and communities?
Such possibilities are not guaranteed simply because a technology becomes available. They depend on whether people recognise them, consider them valuable and develop the organisational and social conditions required to realise them.
This distinction matters because technological development is often presented as a process of improving what already exists. Yet some of its most significant consequences emerge when people begin to question the assumptions on which existing activities are based.
The opportunity is not always to perform the same task faster. Sometimes it is to discover that a different task has become possible.
Technology changes organisations from within
Organisations frequently approach technology as something that can be introduced into existing structures. A new system is purchased, employees receive training, and established processes are adapted to take advantage of the technology’s capabilities.
But technology can have consequences that extend beyond the processes it was intended to improve. It may change how decisions are made, how responsibilities are distributed and which forms of knowledge are considered valuable.
When information becomes easier to access, for example, the relationship between expertise and authority may change. Employees who previously depended on specialists for particular forms of analysis may become capable of performing some of those activities independently. Managers may gain new opportunities to coordinate work, while professionals may experience changes in their autonomy and discretion.
Artificial intelligence introduces additional possibilities because it can support activities associated with judgement, communication and knowledge work. An AI system may help employees interpret information, prepare recommendations or explore alternative solutions. Depending on how it is implemented, this could strengthen professional capabilities or contribute to greater standardisation and centralised control.
The difference is not determined solely by the technology. It also depends on organisational decisions about responsibility, oversight, performance and participation.
Imagine two organisations introducing similar AI systems to support professional decision-making. One uses the technology to provide employees with better information and more time to consider complex cases. The other uses it to standardise decisions, increase the number of cases processed and reduce opportunities for individual judgement.
Both organisations may report improvements in productivity. Yet the consequences for employees, customers and organisational capabilities could be substantially different.
Technology therefore becomes part of how an organisation defines good work. It can influence whether professional expertise is understood primarily as the ability to produce consistent outputs or as the capacity to exercise informed judgement in changing circumstances.
Over time, these decisions can affect how employees learn, how organisations develop knowledge and which capabilities remain available within them. If technology takes over activities through which professionals traditionally acquire experience, organisations may need new ways to develop and maintain expertise.
The introduction of technology should therefore not be understood merely as a technical or operational change. It can also be a decision about the kind of organisation we want to create.
Whose possibilities are expanding?
Technological progress is often described in general terms. We hear that AI will make people more productive, that digital services will improve access or that automation will create new opportunities. These claims may be justified in particular circumstances, but they can obscure an important question: Which people will experience those possibilities, and under what conditions?
A technology that expands opportunities for one person may have little effect on another. It may even create new barriers for people whose circumstances differ from those assumed during development.
Digital services illustrate this tension. For many people, the ability to access information and complete administrative tasks online represents a substantial improvement. It can reduce travel, eliminate waiting times and make services available outside conventional opening hours.
For others, the same transition may create difficulties. People with limited digital experience, particular disabilities or complex circumstances may struggle with interfaces that assume a certain level of knowledge or ability. If digital services replace rather than supplement other forms of access, some people may find that their opportunities have narrowed.
The same technology can therefore create greater independence for some while increasing dependence for others.
Artificial intelligence has the potential to make these differences even more significant. AI-powered communication tools, adaptive interfaces and assistive technologies could expand participation for people who have previously encountered barriers in education, employment and public services. At the same time, automated systems may reinforce assumptions about how people communicate, behave or make decisions.
The challenge is not simply to ensure that more people can use new technologies. It is also to consider whether different human experiences are influencing what those technologies are intended to achieve.
People with disabilities, different generations, varied professional backgrounds and diverse life experiences may recognise opportunities that are not apparent to those developing a solution. Their perspectives can reveal not only barriers in existing systems, but also possibilities for organising activities differently.
This is why human difference should be understood as more than a consideration in accessibility or inclusion. It can contribute to innovation by challenging assumptions about what people need, how activities should be performed and which outcomes are worth pursuing.
A technology designed around a narrow understanding of its users may be technically sophisticated while overlooking opportunities that become visible through other experiences.
The possibilities created by technology depend partly on who is invited to imagine them.
When technology becomes infrastructure
The influence of technology changes as it becomes embedded in everyday life. A new product or service may initially be something people choose to adopt. Over time, however, technological systems can become so closely integrated into organisations and institutions that avoiding them becomes increasingly difficult.
Digital identification, online banking, communication platforms and administrative systems demonstrate how technologies can move from optional conveniences to essential components of participation in society. Once this happens, decisions about their design can have consequences far beyond the organisations responsible for developing them.
A digital service that assumes users possess particular devices or skills may become a barrier when it is the primary means of accessing an essential institution. A workplace platform that determines how tasks are allocated may influence professional autonomy even for employees who had no role in choosing it. An automated decision system may shape people’s opportunities without being visible to those affected.
As technologies become infrastructure, their assumptions can become part of the conditions under which people live and work.
This creates a particular challenge for democratic participation and organisational governance. Many of the decisions that shape technological systems are made long before their broader consequences become apparent. Choices about investment, procurement, technical standards, data collection and system architecture can establish possibilities and limitations that are difficult to change later.
Public debate often intensifies only after a technology has become widely adopted. At that point, the discussion may focus on correcting problems within systems whose fundamental design is already established.
A more constructive approach would create opportunities to question technological directions earlier. This does not require predicting every consequence of innovation, which would be impossible. It requires recognising that choices made during development influence the range of futures that remain available.
The question of who gets to shape technology is therefore inseparable from the question of what technology makes possible.
If decisions are concentrated among a narrow group of developers, investors, managers or policymakers, the resulting technologies may reflect a limited understanding of which possibilities matter. Broader participation can introduce different priorities and experiences while meaningful alternatives are still available.
This is not an argument that every technological decision should be made through public consultation. Different decisions require different forms of expertise, responsibility and accountability. But where technologies influence essential services, human capabilities or the conditions of participation, the perspectives of those affected deserve consideration before the choices become difficult to reverse.
Technology does not simply become infrastructure because it is useful. It becomes infrastructure through a combination of technical development, economic incentives, institutional decisions and social adoption.
Those processes can be influenced.
The future is not determined by the technology
Discussions about technological change frequently move between optimism and pessimism. Some portray new technologies as inevitable sources of progress, while others emphasise their potential to undermine established institutions, professional capabilities or human relationships.
Both perspectives can contain important insights, but neither adequately captures the relationship between technological possibilities and human choices.
Technologies create capabilities and constraints. They make certain activities easier, others less necessary and some entirely new forms of action possible. But the consequences depend on how those capabilities are developed, distributed and incorporated into social practices.
Artificial intelligence may allow organisations to automate large parts of their administrative work. Whether this leads to shorter working hours, better services, higher profits or greater pressure on employees depends on decisions about how the resulting productivity gains are used.
Digital technologies may make information and education more accessible. Whether they strengthen people’s ability to understand and evaluate information depends on how they are designed and used, and on the institutions supporting learning.
Assistive technologies may expand independence for people with disabilities. Whether these possibilities are realised depends on affordability, accessibility, individual choice and the involvement of people whose needs and experiences differ.
Technological progress does not remove the need for political, organisational and ethical decisions. In many cases, it makes those decisions more consequential by expanding the range of outcomes that can be pursued.
This also means that technological futures are not entirely open. Existing institutions, economic interests, infrastructure and technical choices influence which directions are realistic. Once a particular technological system becomes widespread, alternatives may become expensive or difficult to establish.
Recognising these constraints is important. The claim that people can shape technology should not become an assumption that every individual has equal influence or that any desirable outcome can be achieved through better intentions alone.
Shaping technological change requires attention to power, resources, institutions and the practical opportunities people have to participate in decisions.
Nevertheless, the existence of constraints does not make the future inevitable. Different choices remain possible, particularly when technologies are still being developed and their roles in society are being negotiated.
The challenge is to recognise those moments and use them deliberately.
Asking better questions about technological progress
If technology changes what becomes possible, evaluating technological progress requires more than assessing performance against existing objectives. We also need to examine how new capabilities alter the choices available to individuals, organisations and society.
A useful starting point is to ask what a technology enables that was previously difficult or impossible. This question encourages us to look beyond immediate productivity gains and consider whether new forms of participation, collaboration, learning or value creation have become realistic.
But possibility alone is not sufficient. A technology may make many things possible without making all of them desirable. We therefore need to ask which capabilities are worth developing, whose opportunities are expanding and what consequences may follow when existing activities change.
These questions become particularly important when technologies influence human judgement and independence. A system that performs a task more efficiently may also change how people acquire the expertise required to understand that task. A service that becomes easier to access for some users may become less accessible to others. A technology that provides new information may also influence which options people notice and consider.
Understanding these effects requires different forms of knowledge. Technical expertise is essential for assessing what a system can do, but it cannot by itself determine which outcomes should be prioritised. Organisational experience, social research, professional judgement and lived experience can all contribute to a more complete understanding of the possibilities and limitations involved.
The purpose of bringing these perspectives together is not necessarily to reach agreement about every technological choice. Different people may have legitimate and conflicting priorities. Rather, it is to make those differences visible while decisions can still be influenced.
This changes how we think about innovation. Instead of treating technological development as a process in which new capabilities emerge and society subsequently adapts, we can understand it as an ongoing interaction between technical possibilities and human decisions.
The technologies we develop influence our future choices, but our present choices also influence which technologies are developed and how they become part of everyday life.
Designing for possibility
The most ambitious question about technology is not simply how much more efficiently it can help us perform familiar activities. It is what new forms of human capability, participation and cooperation it could make possible.
Artificial intelligence may create opportunities to improve education, healthcare, public services and professional work. It may help individuals overcome barriers, enable organisations to develop new approaches and make knowledge accessible in ways that were previously impractical.
But none of these outcomes should be taken for granted. The same capabilities can be used to narrow choices, concentrate decision-making or reinforce existing organisational priorities. Technologies can expand human agency or reduce it, depending on the circumstances in which they are developed and used.
That is why technological progress should be approached with both curiosity and critical attention. Curiosity allows us to recognise opportunities beyond the immediate purposes of a new tool. Critical attention helps us examine whose interests are being served, which assumptions are shaping development and what may be lost along the way.
These are not opposing attitudes. They are complementary ways of taking technological change seriously.
A constructive approach to technology does not require believing that every innovation will improve society. Nor does it require resisting change in order to protect existing practices. It requires understanding that technological capabilities create opportunities for choice, and that those choices deserve deliberate consideration.
This is particularly important when technology is still emerging. Before new systems become embedded in institutions and everyday routines, there may be opportunities to influence their objectives, design and governance. Once those systems become established, changing direction can become considerably more difficult.
We therefore need to become better at recognising not only what technology can do today, but also how it may change the possibilities available tomorrow.
That involves asking what people could become capable of doing, which barriers might be removed, how organisations could create new forms of value and whose perspectives might reveal opportunities that others have overlooked.
It also involves acknowledging that the most valuable future may not be the one that technology makes easiest to achieve.
Technology changes what becomes possible, but possibility is not the same as progress. Progress depends on what we choose to make of the capabilities available to us.
The future will be shaped by the technologies we develop, but also by the questions we ask, the perspectives we include and the decisions we make about what those technologies should enable.
We shape our tools, and our tools shape us. The challenge is to make that relationship a conscious part of how we shape the future.
A question worth discussing
Think of a technology that has changed your everyday life or professional work. Has it simply made familiar activities easier, or has it changed what you consider possible? And if you could influence its next stage of development, what new possibilities would you want it to create?
