Two debates: digital-age survival, and innovation’s limits on global challenges
Framing
Why argue both sides?
Session 2 moves from building one product (Session 1) to examining the claim that innovation itself is now compulsory. Both questions below are argued on two sides before ending in a probing question, so the discussion does not settle on a single verdict but exposes the assumption underneath it.
MethodCore issue → agreement case → opposing case → probing question, for each prompt.
GoalExpose the assumption inside an absolute claim, not just answer yes or no.
Question 1
The Pressure to Innovate in the Digital Age
Analyze the statement: "Innovation is no longer an option but a prerequisite for business survival in the digital age." Provide one real-world example of a company that has succeeded through innovation to illustrate this point.
Core issue. This statement posits an absolute assumption about corporate survival, suggesting that the pace of digital technological change outstrips the adaptation cycles of traditional business models.
Perspective of agreement
The digital age alters consumer behavior extremely rapidly. Netflix is a prime example. It abandoned its safe DVD-rental model, enduring short-term losses to disrupt itself and pivot to streaming, later leveraging massive data analytics to produce original content. It survived and dominated, whereas competitor Blockbuster collapsed by clinging to outdated processes.
Netflix — survived by disrupting its own DVD business
Opposing perspective (logical flaws)
Treating technological innovation as a “prerequisite” in all contexts can lead to herd mentality. Blind innovation that ignores core business fundamentals leads to cash burn, for example startups flocking to the Metaverse or Web3 without a real value proposition. In many niche industries, such as organic agriculture or high-end craftsmanship, the authenticity and sustainability of physical supply chains offer greater vitality than forced “digitalization.”
Blockbuster — collapsed by defending the status quo
Probing question. Does every industry truly face the “digitize or die” pressure with equal intensity, or is the obsession with “innovation” sometimes just a marketing tool for tech corporations to sell software solutions to traditional businesses that do not genuinely need them?
Model
Why Netflix crossed and Blockbuster did not: the S-curve
A local case: three disruptors, one curve
Each app answers a different gap: a channel to hail a ride, a locally-owned alternative, and a path to electric mobility — the same S-curve logic as Netflix, closer to home.
Grab
Entered Vietnam, 2014
Replaced street-hailing and phone dispatch with an app; gave idle drivers a new income channel. Vinasun, the leading incumbent taxi firm, filed a high-profile 2017 lawsuit against Grab over lost revenue — a real-world incumbent reaction, not just theory.
Be
Launched, 2018
A domestic alternative built on local ownership and local data handling, answering the question of whether a market should depend entirely on one foreign platform for daily mobility.
Xanh SM
Launched, 2023
An all-electric ride-hailing fleet (VinFast / GSM). It does not just move the hailing app forward again — it moves the adoption threshold for EVs themselves, in a market with little charging infrastructure.
2026 update
The disruptor becomes the incumbent
Drivers organize
The gig drivers Grab once empowered with flexible income are now organized labor with a seat at the table.
Thông tin Chính phủ, official Facebook page, Sept 22, 2026. Photo: Hoa Lê.
Regulators review fees
The National Competition Commission (UBCTQG) is reviewing complaints about Grab’s fees, and asked other ride-hailing apps for related information.
Thông tin Chính phủ, official Facebook page, Sept 12, 2026.
Grab crossed its own adoption threshold years ago — now it faces the two pressures every mature incumbent eventually meets.
Group discussion 2
The Role of Innovation in Global Challenges
Evaluate the role of innovation in addressing current global challenges (such as climate change, the green energy transition, or supply chain optimization).
Core issue. Evaluating the capacity and limitations of technological / innovation tools in resolving systemic, macro-level crises.
Perspective of agreement
Innovation provides mathematical tools and technical infrastructure to optimize resources. In supply chains, big-data modeling and AI help minimize disruptions and avoid logistics waste. In the green energy transition, breakthroughs in battery-storage materials or the optimization of High-Performance Computing (HPC) enable accurate simulations of climate models.
HPC climate simulation — optimizes the forecasting tool, not the policy
Opposing perspective (logical flaws)
Technology often only addresses the “symptoms.” The root causes of climate change or supply-chain disruptions lie in geopolitical conflicts, regulatory policies, and economic models focused on profit maximization. Furthermore, technological innovation itself generates new problems: electronic waste from solar panels, or the massive energy consumption required to operate server clusters for training generative AI.
AI server clusters — the fix that adds new energy demand
Probing question. Are we overusing our faith in “technological innovation” as a panacea (techno-solutionism) to evade the responsibility of altering the core political-economic structures and consumption habits of modern society?
Model
Where innovation sits in the causal chain
Literature
Grounding the debate
Synthesis
Closing
Both cases follow the same shape: a real, defensible case for innovation sits next to a real, defensible limit on it. The useful move is not picking a side but asking who benefits from stating the claim as an absolute — and what it conveniently excuses.
Open discussion — extending Q2
Of the 17 SDGs, which ones does technology actually fix?
Tech moves the curve
SDG 7 — Affordable & Clean Energy Solar PV + battery technology Module costs fell roughly 80–90% in the 2010s (IRENA); solar is now the cheapest new power source in most markets — a durable curve, not a one-off pilot.
SDG 3 — Good Health mRNA vaccine platforms The platform that produced COVID-19 vaccines in under a year is now being re-used for other diseases — reusable, not single-use.
SDG 9 — Industry & Infrastructure Mobile networks + mobile money Many regions skipped landlines and reached banking through a phone — infrastructure that compounds.
Tech alone does not
SDG 1 — No Poverty Depends on redistribution: land rights, labor law, tax policy. Tech can speed up a cash transfer; it cannot decide who gets one.
SDG 10 — Reduced Inequalities The same AI compute and platform ownership that solves one problem concentrates in few hands — as likely to widen a gap as close it.
SDG 16 — Peace, Justice & Institutions No app replaces a functioning court, a fair election, or a ceasefire — this is governance, not throughput.
Probing question. Notice which column each goal lands in: the left column is the set already closest to a market mechanism. Does that prove technology solves development — or just that we solve the parts of development that happen to be profitable?