Warm-up
Answer a few quick questions before today’s lesson about technology.
Listening
Listen to an interview with Dr. Okonkwo on the social impact of AI and automation, and answer 8 questions in three parts. Play the audio as many times as you need, and click anywhere on the progress bar to jump to a specific moment. Read the questions in each part first, then click Submit when you’re ready — your answers will be marked together at the end of each part.
Listening — The Double-Edged Impact of AI on Society
This is a C1-level listening task on the social impact of AI, split into three parts. The audio player stays at the top of the page so you can replay it freely — click anywhere on the progress bar to jump to a specific moment. For each part, read the questions first, then listen and answer. You can change your answers until you click Submit; feedback appears once you submit each part.
Reading
Read the passage on the left, then work through the questions on the right.
Reading — The Double Edge: How Innovation Reshapes Inequality
Read the passage on the left, then answer the questions one by one.
The Double Edge: How Innovation Reshapes Inequality
Technological innovations have long been hailed as universal solutions to humanity’s most pressing challenges. Yet a growing body of evidence suggests that the relationship between innovation and societal progress is far more complicated than the optimistic narratives that dominate Silicon Valley and venture capital circles. While transformative technologies—from the printing press to the internet—have undoubtedly democratized access to information and opportunity, they have simultaneously concentrated wealth and power in unprecedented ways. Consider the rise of artificial intelligence and automation. These technologies have been championed as catalysts for economic growth and improved living standards. However, empirical research conducted by economists at the World Economic Forum has demonstrated that automation has disproportionately displaced low-wage workers while creating high-skill, high-income positions accessible primarily to those with advanced education. Between 2015 and 2022, approximately 85 million jobs were estimated to have been replaced by automation globally, yet only 97 million new roles emerged—a seemingly marginal gap that masks profound regional and sectoral disparities. Workers in manufacturing-dependent economies have borne the brunt of this transition, whilst tech hubs in Singapore, San Francisco, and Dublin have flourished. Moreover, the environmental consequences of technological expansion have been systematically underestimated. Data centres required to power cloud computing and blockchain applications consume roughly 460 terawatt-hours of electricity annually—equivalent to the total energy usage of Argentina. Rare earth minerals essential for smartphone and battery production are extracted under conditions that devastate ecosystems and exploit labour in regions including the Democratic Republic of Congo and Indonesia. The innovation economy, celebrated for its efficiency, has therefore externalized vast environmental and human costs onto the Global South. Yet dismissing innovation entirely would be equally shortsighted. Renewable energy technologies, medical breakthroughs in gene therapy, and agricultural innovations have measurably improved quality of life for billions. The critical task ahead lies not in rejecting technological progress, but in fundamentally reorienting how innovations are developed, deployed, and governed. This requires robust regulatory frameworks, mandatory environmental impact assessments, and—crucially—inclusive decision-making processes that centre the voices of affected communities rather than exclusively serving corporate interests. Until technological innovation is decoupled from the logic of unchecked profit maximization, its benefits will remain unevenly distributed, and its harms will continue to accumulate.Vocabulary Practice
Practise the 12 key vocabulary items from this lesson through three exercises.
Vocabulary Practice — Technological Innovations
Work through all three parts. Each part uses the same vocabulary in a different way.
Writing Task
- The current state of digital literacy gaps in secondary education, including regional disparities and statistics about graduate readiness for higher education and employment
- Concrete actions the initiative would undertake (curriculum integration, teacher training, infrastructure investment, partnerships with tech companies) and how they would be implemented
- Expected outcomes and long-term benefits for students, the economy, and societal digital inclusion, including measurable success indicators
Speaking
Speaking task. Read the instructions, then complete the task.
After the Lesson
Reflect on what you learned and how confident you feel now.
Teacher Guide
Practise with
- computeverb
to calculate or determine a result using mathematical processes or a computer
- configurationnoun
The particular arrangement or setup of the parts that make something work.
- deep learningnoun
Machine learning that uses multiple layers of artificial neural networks to recognise patterns in data.
- explainabilitynoun
The quality of being able to understand why an AI system makes particular decisions.
- machinerynoun
Machines and equipment, especially when considered as a system or group working together.
- malfunctionverb
To fail to work as intended; to stop functioning properly or correctly.
- natural language processingnoun
Computer technology enabling machines to understand, analyse, and generate human language accurately.
- obsoleteadjective
No longer in use because something newer and better has replaced it.
- pipelinenoun
A series of planned projects or processes that will happen one after another in the future.
- upgradeverb
to improve something by replacing it with a newer or better version