IB Digital Society 4.2B Employment and Labour Notes

4.2B Employment and Labour

How Digital Systems Are Reshaping Work

1. Employment and labour covers the jobs people do, how they are hired and paid, and the rights they hold at work. As digitalization spreads, work gets broken into smaller pieces and increasingly runs through platforms.
2. The concepts in focus are change, power, and systems. Digital work offers flexibility and access to new opportunities, but it can strip away security and hand control to companies and algorithms. The flexibility and the risk often fall on different people.
3. Several strands can run together in one job. Digital change can alter where and how work is arranged (gig platforms, remote tools), how much human work is needed at all (automation), and how workers are managed and watched. One strand often frees a worker while another squeezes the same person.

The Gig Economy

1. In the gig economy, people are paid for individual tasks or short jobs arranged through a platform business, rather than employed with a steady wage. The appeal is flexibility: workers log on when they choose and reach customers instantly.
   1. Mechanism: an app matches supply to demand in real time. A customer taps, an algorithm offers the job to nearby workers, and whoever accepts is paid per task with the platform taking a cut. No roster, no manager, no guaranteed next job.
2. The model shifts risk onto the worker, a power and values and ethics tension: gig workers are usually classed as self-employed, so they lack sick pay, minimum wage, holiday, and job security. The flexibility the platform advertises comes out of the worker's own security.
3. Contested: platforms say workers are independent people who value freedom; workers say they carry an employee's risks with none of the protections. Courts and governments must decide, because the self-employment label determines whether basic rights apply at all.
4. The model varies worldwide: in Southeast Asia, Grab (the super-app Uber sold its regional business to in 2018) runs rides, deliveries, and payments across eight countries, bundling gig work with digital finance where labour protections are often weaker.

Automation and the Future of Jobs

1. Through automation, software and machines do tasks once done by people, from checkout tills to legal research, changing how much human work is needed at all.
2. Jobs do not simply vanish: automation removes some roles, changes many, and creates new ones. The new jobs rarely go to those who lost the old ones, so reskilling becomes essential, and not everyone can access it equally.
   1. Routine, predictable work (data entry, basic bookkeeping, repetitive assembly) is automated first; care, judgement, and human-touch jobs resist. This hollows out middle-skill roles, widening the gap between highest-paid and lowest-paid work.
3. Contested change debate: is automation an evolution (earlier machinery created more work) or a transformation leaving many without secure roles? Economists disagree; the outcome depends on training, support, and who captures the gains, not technology alone.

Remote and Distributed Work

1. With remote work, people do jobs from home or anywhere with a connection; some become a digital nomad, working while they travel. The tie between a job and a place is loosened.
2. Opportunities: workers save commuting time, live where they choose, and access distant jobs; employers hire the best people anywhere and cut office costs. Remote work can open doors for people with caring duties or disabilities.
   1. It changes who is in the running. An employer can pick a local candidate or someone across the world, which opens doors for workers in low-cost regions but pulls skilled people away from the places that trained them and raises the bar for everyone applying.
3. Costs are a space and change question: home and work blur into an always-on day, isolation and burnout grow, and not everyone has the space or connection. Global hiring can let firms pay less by seeking cheaper labour markets, shifting bargaining power from workers.

Algorithmic Management and Surveillance

1. Under algorithmic management, software, not a human boss, assigns tasks, tracks performance, and decides who keeps working.
2. It runs on constant surveillance: delivery apps track speed and route, warehouse systems time every pick, monitoring software logs keystrokes and screen time. The data feeds ratings that shape pay, shifts, and whether a worker is kept on.
   1. Mechanism: the worker becomes a stream of data; every delivery, keystroke, idle minute, and rating feeds a score that, not a human, decides the next shift or the end of the job. Running continuously and at scale, the algorithm can push a pace no human manager would set.
3. Severe power and values and ethics concerns: workers are managed by a system they cannot question, disciplined or dropped with no explanation, and pushed to unsafe targets. The platform holds all the data on the worker, while the worker often has no one to appeal to.

Where the Future of Work Leaves Us

1. One tension keeps returning: digital systems bring flexibility, access, and efficiency, while shifting risk and power from workers toward platforms and employers. The gains and costs rarely land on the same people.
2. Access decides who benefits: the digital divide shuts those without good devices, connection, or skills out of the best digital work. Contested: is this paid work brought online, or a rewriting of the deal between worker and employer?