Navigating the Future of Work: Employment Challenges in the Knowledge Society

The world of work has never changed faster. Automation is reshaping entire industries, remote hiring has dissolved geographic borders, and a growing premium is being placed on technical and digital skills. Yet not everyone is benefiting equally. Across the globe, who you are, where you live, and what technology you can access increasingly determines what kind of job you can get – or whether you can get one at all. This is the central challenge of employment in the knowledge society: a system where knowledge and technology are the primary drivers of economic value, but access to both remains deeply unequal.

What is the knowledge society and why does it matter for work? 🔗

The knowledge society refers to an economy and social order built on the creation, distribution, and application of knowledge – powered largely by information and communication technologies (ICT). In this environment, a worker’s economic mobility depends less on physical labor and more on their ability to access, process, and apply information.

Globalization has accelerated this shift dramatically. Organizations can now hire from a global labor pool rather than drawing exclusively from their local area, and can operate around the clock by handing off work across time zones. For highly skilled workers, this opens extraordinary opportunities. For those without digital access or relevant skills, it often means being bypassed entirely.

The result is a labor market divided not just by geography or class, but by digital capability. The term “digital globalization” describes the more interconnected cross-border movement of data, technologies, digital services, and workers with digital skills that is changing social and economic systems all over the world. Unlike older forms of globalization centered on trade in goods, this wave centers on the spread of knowledge and innovation – and it is widening disparities in digital preparedness between countries, regions, and socio-economic groups.

The digital divide in employment: more than just internet access 🔗

When people talk about the digital divide, the conversation often stops at internet access – who has it and who doesn’t. But the employment dimension of this divide runs much deeper.

Factors like geographical location, income level, and educational attainment often dictate whether individuals can access high-speed internet, digital devices, and technological literacy. A critical aspect of the divide is digital literacy – the skills needed to use technology effectively. People may have internet access but lack the knowledge to use digital tools, limiting access to essential services and opportunities to fill in-demand positions.

Research covering over 2,000 IT executives and staff officers indicates that 69 percent of employees feel they do not have access to sufficient technology to make their jobs easier, while 63 percent believe the lack of technological mechanisms hinders their ability to develop new work skills. This isn’t just a problem in developing nations – it cuts across workplaces globally.

Web usability consultant Jakob Nielsen’s influential framework is useful here. He breaks the digital divide into three stages: the economic divide (who can afford technology), the usability divide (who can actually use it), and the empowerment divide (who can use it to meaningfully improve their lives). Employment access sits at the intersection of all three.

Multiple fault lines within the divide 🔗

The digital divide in employment doesn’t follow a single fault line. Multiple overlapping inequalities shape who gets left out.

• Income: People who earn low income use the internet at a 26% rate, compared to 79% for upper-middle income and 92% for high income individuals – a 66% gap that reflects the affordability barrier around technology access.
• Gender: Gender divides in digital skills are severe. Women are 1.6 times more likely than men to report lack of skills as a barrier to internet use, and the proportion of women using the internet is 12% lower than men – a gap that has widened in least developed countries.
• Age: Older generations may not be as familiar with digital technology as younger generations, limiting their ability to access online resources, communicate, and participate in the digital economy.
• Geography: In Africa, low technological adoption rates persist across sectors, with the key impediment being a lack of digital skills in the workforce. The urban-rural divide is staggering, with only 23 percent of the rural population connected.

In many countries, the link between employment and internet access is circular. In many countries, internet access is limited to the world of work – meaning exclusion resulting from loss of employment also means de facto exclusion from cyberspace. Lose your job, lose your connection. Lack connection, struggle to find a job.

How technology is reshaping job markets 🔗

Beyond access, technology is fundamentally altering what kinds of jobs exist and what skills they require.

Digitization profoundly changes the world of work and redefines it. The pandemic accelerated the pace of employment reform, causing greater flexibility of the active life model, but also increased vulnerabilities. Remote work became normalized, gig-based platforms expanded, and entire categories of jobs were restructured around digital tools.

The more alarming trend is automation. A 2024 study from the Brookings Institution found that based on existing technology, 30 percent of all US workers could see at least half of their tasks disrupted by generative AI, particularly in roles that include administrative support, data entry, and clerical tasks. This isn’t a future projection – it’s already happening in customer service, manufacturing quality control, and data processing.

Routine tasks are increasingly automated, while higher-order functions such as problem-solving, decision-making, and human-AI collaboration grow in importance. This shift underscores the need for lifelong learning, digital literacy, and continuous adaptation of the workforce.

Meanwhile, globalization speeds up technological advancement, promoting the incentive and capacity to create and profit from cutting-edge knowledge, resulting in a wage premium for highly skilled employees, which widens the income gap. Those already positioned to benefit from digital tools see wages rise; those without those skills are pushed toward precarious, lower-paid work.

The emerging AI divide: a new layer of inequality 🔗

Artificial intelligence has added a new and urgent dimension to employment inequality in the knowledge society. In 2024, the ILO co-authored a report with the United Nations titled “Mind the AI Divide,” which addresses the uneven adoption of AI globally and its implications for equity, fairness, and social justice. The report highlights how disparities in digital infrastructure, technology access, education, and training are deepening existing inequalities.

Crucially, the AI divide doesn’t just affect low-skilled workers. Unlike previous technological revolutions, this AI-driven wave will significantly disrupt both skilled blue-collar jobs and cognitively demanding white-collar jobs requiring specialized knowledge obtained through university education. Roles involving repetitive tasks such as those of lawyers, financial analysts, and accountants are highly susceptible to automation.

The divide also shows up in how workers engage with AI. US rates of AI literacy remain low – a 2024 Vention report found that 25 percent of US workers are deploying AI on the job, compared with 60 percent of workers in China and India. Access to AI tools, training, and organizational support is itself unevenly distributed, creating a secondary layer of digital exclusion within economies.

Skilling, reskilling, and the lifelong learning imperative 🔗

The single most critical response to the employment challenges of the knowledge society is continuous skill development. Skills that are relevant today may not be relevant in five years. Qualifications earned in formal education may not keep pace with the speed of technological change.

In many countries, employment is shifting towards jobs that require high-level cognitive and socio-emotional skills, while highly routine jobs are being automated or offshored. Today’s skills will not match tomorrow’s jobs, and newly acquired skills may quickly become obsolete. The right skill mix for the future includes strong general cognitive skills, digital literacy, analytical ability, creativity, problem-solving, and critical thinking.

Participation in adult education remains uneven – older, lower-income, and less-qualified individuals are least likely to engage, often due to time, cost, lack of employer support, and limited awareness. This creates a troubling pattern where the workers most exposed to automation are the least likely to access the training that could protect them.

A joint UNESCO, World Bank, and ILO report found that many technical and vocational education and training (TVET) institutions focus on what they know how to provide – often technical skills – rather than what students and firms actually need, such as cognitive, digital, or entrepreneurship skills. The gap between training supply and labor market demand is a persistent structural problem in developing economies.

The Aspen Institute has highlighted the case for Lifelong Learning Accounts – tax-advantaged funds that workers could use for retraining throughout their careers. Workers would have an incentive to save money to invest in additional education and training. Low-income workers would be given an account automatically to which the government could make contributions, giving laid-off workers additional resources to accumulate new skills during unemployment.

Policy responses: who is responsible for closing the gap? 🔗

Closing the digital divide in employment is not something that individuals or even employers can do alone. It demands coordinated action across governments, the private sector, educational institutions, and international bodies.

Collaboration with governments, policymakers, educational institutions, and private partners is essential to close digital skill gaps. As digital globalization accelerates, bridging these gaps has become a shared priority across both developed and developing economies, enabling policy harmonization, cross-border knowledge exchange, and multilateral skilling initiatives.

The World Economic Forum has argued that there is no one-size-fits-all approach, but government intervention will be an integral part of the solution. This puts an obligation on employers to do everything they can to support their employees – current and prospective – to take on more skills, for example, by providing free, hands-on training and courses.

The ILO’s review of digitalization and employment identifies three structural challenges that policy must address. First, employment relationships have become increasingly blurred, posing significant challenges to social protection systems. Second, labor markets require more advanced digital skills but there is a shortage of digitally skilled workers and a high prevalence of skill mismatches. Third, the quality of jobs is being threatened – flexibility in digital work can involve greater amounts of precarious and unpaid work.

From an international development perspective, digital penetration in developing countries often takes place against a background of relatively weak state and institutional capacity, limited fiscal resources, excessive levels of inequality, and un- or under-employment – conditions that mean new digital opportunities don’t necessarily translate into meaningful economic gains for local workers.

Key policy priorities for building an inclusive employment landscape in the knowledge society include:

• Universal digital infrastructure: Expanding affordable broadband and device access, particularly in rural and low-income areas.
• Integrated digital skills training: Policymakers working with education providers could do more to improve basic STEM skills through school systems, put new emphasis on creativity and critical thinking, and foster adaptive and lifelong learning.
• Gender-responsive programs: Without policy interventions, ongoing technological developments threaten to exacerbate inequalities between those with and without digital skills. Integrated and comprehensive responses are urgently needed, with governments playing a pivotal role in setting up principles for inclusive and equitable digital skills development.
• Worker protection in digital labor markets: Strengthening social protection systems to cover gig workers, platform workers, and those in informal digital employment.
• AI governance: Policy making must develop solutions that address different needs and impacts across sectors and occupations, minimize risks associated with job displacement, and ensure workers develop the right skillsets to make the best use of AI.

The opportunity side: what a more equal knowledge economy could look like 🔗

The knowledge society is not inherently a system of exclusion. Digital tools, when equitably distributed, can be powerful equalizers. Closing the digital divide can create a more inclusive economy where individuals have greater access to education, employment, and entrepreneurship opportunities. As remote work becomes more common, digital access becomes more crucial – those without reliable internet are often excluded from the growing number of remote and hybrid job opportunities.

A 2020 study found that across 39 African countries, GDP has a positive correlation with access to technology – and social media and government communications tools were especially helpful in increasing GDP. Technology can provide connectivity, knowledge, and access to jobs – but only when access itself is treated as a prerequisite, not an afterthought.

Lifelong learning and affordable training programs are essential to enable displaced workers to transition into new roles. Without such measures, the advantages of AI-related employment growth risk being unevenly distributed, exacerbating existing economic and social divides. The knowledge society holds real promise for expanding opportunity globally – but only if the policy, infrastructure, and institutional will exist to ensure that promise is shared.

What do you think? As automation continues to reshape the workforce, should access to digital skills training be treated as a public right – like access to primary education – rather than something left to employers or individual initiative? And given that the digital divide in employment hits women, older workers, and people in developing countries hardest, who should bear the primary responsibility for closing it: governments, corporations, or international bodies?

References

1. https://ecampusontario.pressbooks.pub/infosysbus/chapter/chapter-11-globalization-and-the-digital-divide/
2. https://fastercapital.com/topics/globalization,-knowledge-inequality,-and-the-digital-divide.html/1
3. https://www.aspeninstitute.org/blog-posts/a-changing-economy-requires-a-renewed-focus-on-lifelong-learning/
4. https://www.weforum.org/stories/2021/09/bridging-the-digital-divide-to-create-the-jobs-of-the-future/
5. https://www.ilo.org/sites/default/files/wcmsp5/groups/public/@ed_emp/documents/publication/wcms_854353.pdf