Shreya Goyal
Thoughtful essays on work, life, ideas, and the world around us. 🌍
Saturday, 6 June 2026
The Corruption Game Theory: Why Ethical Behavior Should Be Rewarded
Thursday, 9 October 2025
How Canadians Pay: 20 Years of Credit-Card Evolution
Day 4 - How Canadians Pay: 20 Years of Credit-Card Evolution
Credit cards are quietly reshaping how Canadians spend, borrow, and build loyalty.
Over the last two decades, five major trends have defined the country’s payment landscape:
1. Contactless & Mobile Payments
2. Rewards & Co-branded Cards
3. Market Share Concentration
4. Fintech Disruption
5. Regulation & Policy Shifts
Here’s what’s changed — and why it matters.
Contactless & Digital Wallets
Remember when you had to insert your chip and wait?
- In 2015, only ~40% of Canadians used contactless payments regularly.
- By 2024, that number is over 90%.
Nearly every in-store transaction — and two-thirds of online purchases — now runs through cards. [1]
Mobile wallets such as Apple Pay and Google Pay accelerated this shift, merging convenience with data-rich, loyalty-driven ecosystems.
Insight: Payment friction is gone. The new competition isn’t about acceptance — it’s about data, personalization, and trust.
Rewards & Co-Branded Ecosystems
Rewards programs aren’t perks anymore — they’re profit engines.
Banks and brands have built powerful loyalty ecosystems:
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Travel cards (Aeroplan, WestJet)
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Retail co-brands (Costco, Canadian Tire, PC Financial)
These programs generate billions in annual revenue for issuers and partners.
Surveys show that rewards and no annual fee remain top decision factors for consumers. [2][3]
Insight: When brands and banks come together, loyalty becomes a currency - powered by the right data.
Market Share & Fintech Disruption
The rails are more concentrated than ever:
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Visa — 36.5%
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Mastercard — 23.9%
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Interac (mostly debit) — 37.6% [4]
Meanwhile, fintechs are reshaping the space through:
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Digital-first, low-fee credit cards
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Instant approvals and virtual cards
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Buy Now, Pay Later (BNPL) alternatives
Insight: Fintechs aren’t replacing cards — they’re redefining who controls the experience.
Policy, Credit Risk & What’s Next
Canada is modernizing its payments ecosystem on multiple fronts.
- The Bank of Canada is introducing supervision for payment service providers (PSPs) under the Retail Payment Activities Act, aimed at improving consumer protection, operational resilience, and fair competition. [5]
- In parallel, Payments Canada is advancing the Real-Time Rail (RTR) initiative — a new infrastructure expected to improve speed, data transparency, and inclusion across the financial system. [6]
At the same time, household debt is rising:
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Debt-to-income ratio: ~180% (Q2 2024)
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Credit card balances: up nearly 10% year-over-year as higher interest rates increase revolving debt [7]
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Delinquency rates: trending upward but still below pre-pandemic levels
Insight: In a high-debt, high-tech economy, regulation and innovation must evolve together — or risk leaving both consumers and businesses exposed.
What Canadians Spend the Most On
According to Statistics Canada, the biggest household expenses are:
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Shelter: 32.1% of total spending (~$24,671 per household)
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Food: 15.7% (~$12,046 per household, with ~$3,351 on restaurants)
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Transportation: 15.8% (~$12,090 per household)
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Recreation & Travel: Strong rebound post-pandemic, led by dining, entertainment, and air travel
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Discretionary Spending: First to be reduced when budgets tighten — typically restaurants and travel [8][9]
Insight: Rising food and housing costs mean consumers are optimizing card rewards — shifting spending toward essentials and cards that deliver tangible value.
Canada’s credit landscape tells a larger story:
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Technology removes friction
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Rewards create loyalty
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Fintechs shift power
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Regulation struggles to keep up
Which of these forces do you think will define the next decade of credit in Canada?
#30Days30BusinessCases #PolicyMeetsTechnology #CreditTrends #Fintech #PaymentsCanada
References
[1] Bank of Canada — Methods-of-Payment Report (2023)
https://www.bankofcanada.ca/wp-content/uploads/2024/07/sdp2024-8.pdf
[2] NerdWallet Canada — 2024 Consumer Credit Card Report
https://www.nerdwallet.com/ca/p/credit-cards/2024-canadian-consumer-credit-card-report
[3] J.D. Power — 2024 Canada Credit Card Satisfaction Study
https://www.jdpower.com/business/press-releases/2024-canada-credit-card-satisfaction-study
[4] The Nilson Report — Canada Card Issuers and Networks 2024
https://nilsonreport.com/articles/canada-card-issuers-and-networks-2024
[5] Reuters — Bank of Canada to Supervise Payment Service Providers (May 2024)
https://www.reuters.com/business/finance/bank-canada-says-it-plans-more-supervision-payment-service-providers-2024-05-30/
[6] Payments Canada — Real-Time Rail Overview
https://www.payments.ca/modernization/real-time-rail
[7] Statistics Canada — Household Sector Credit Market Summary Table
https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3810023801
[8] Statistics Canada — Survey of Household Spending, 2023
https://www150.statcan.gc.ca/n1/daily-quotidien/250521/dq250521a-eng.htm
[9] Statistics Canada — Average Spending by Category (Table 11-10-0222-01)
https://www150.statcan.gc.ca/n1/pub/11-627-m/11-627-m2025026-eng.pdf
Wednesday, 8 October 2025
5 Things North American Firms Must Know About The EU AI Act
5 Things North American Firms Must Know About The EU AI Act
In August 2024, the European Union officially brought the EU AI Act into effect.
Although it’s a European regulation, its reach extends far beyond Brussels — and many North American tech firms are already feeling the consequences.
Here’s what business leaders should know — and how to act.
Why It Matters (Even Outside the EU)
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The EU AI Act has extraterritorial scope: any company that markets, deploys, or uses AI systems whose outputs are used within the EU can fall under its rules. [1]
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Canadian firms exporting AI-enabled products or embedding AI modules in tools used by European clients must assess compliance now. [2]
- The “Brussels Effect” suggests that many non-EU firms will end up aligning with EU standards to simplify compliance across multiple jurisdictions. [3]
What the Regulation Says
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AI systems are classified by risk levels — from “minimal” to “high risk” and “unacceptable.” The higher the risk, the stricter the obligations. [1]
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Penalties for non-compliance are severe: up to €35 million or 7% of global turnover, whichever is higher. [4]
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Implementation is phased:
• Basic obligations begin in February 2025
• Rules for general-purpose AI models start in August 2025
• High-risk system requirements apply from August 2026 [5] -
Despite industry pressure, the EU refused to delay enforcement, signaling regulatory confidence. [6]
The Cost — Real or Theoretical?
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The Computer & Communications Industry Association (CCIA) estimates compliance with the AI Act could cost as much as USD $430 million annually for large U.S. service providers. [7]
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A KPMG / CIO Dive survey found that over 50% of business leaders expect AI compliance and security requirements to raise costs. [8]
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Data breaches in 2024 averaged $4.88 million per incident, with weak AI governance amplifying that risk. [9]
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An EY survey (2025) of nearly 1,000 executives found that almost every large company deploying AI reported initial financial losses totaling $4.4 billion globally, largely due to compliance failures and flawed outputs. [10]
Strategic Questions for Tech Leaders
| Challenge | Key Question |
|---|---|
| Triggering jurisdiction | Will our product or AI output be used within the EU? |
| Risk classification | Does it fall under “general purpose” or “high risk”? |
| Compliance burden | What documentation, audit, and reporting obligations apply? |
| Cost vs ROI | Will compliance erode profitability or delay innovation? |
| Competitive positioning | Should we adopt EU compliance globally as a “trust signal”? |
Actionable Steps
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Map your AI exposure — identify all models or features that touch EU markets.
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Classify risk levels — apply the Act’s definitions early.
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Build compliance infrastructure — documentation, audits, bias checks, risk logs.
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Adopt “trustworthy by design” principles — human oversight and transparency.
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Monitor evolving guidance — the EU will release codes of practice and model risk templates further.
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Plan market entry — consider delaying EU launches until compliance processes are mature.
Bottom Line
Europe’s AI regulation is no longer a local matter — it’s becoming the global baseline.
For North American firms, waiting is riskier than preparing early.
References
[1] Skadden — “The EU AI Act: What Businesses Need to Know”
https://www.skadden.com/insights/publications/2024/06/quarterly-insights/the-eu-ai-act-what-businesses-need-to-know
[2] Miller Thomson — “Impact of the EU Artificial Intelligence Act on Canadian Companies”
https://www.millerthomson.com/en/insights/cybersecurity/eu-artificial-intelligence-act-implementation-timeline-impact-canadian-companies
[3] McCarthy Tétrault — “Navigating the Future of AI Law: The EU AI Act and Canada’s AIDA”
https://www.mccarthy.ca/en/insights/blogs/techlex/10-key-takeaways-navigating-future-ai-law-understanding-eu-ai-act-and-aida
[4] EY — “The EU AI Act: What It Means for Your Business”
https://www.ey.com/en_ch/insights/forensic-integrity-services/the-eu-ai-act-what-it-means-for-your-business
[5] TechRepublic — “Companies Request EU AI Act Delay, But Implementation Moves Forward”
https://www.techrepublic.com/article/news-companies-request-eu-ai-act-delay
[6] Techzine — “EU Sticks to AI Act Timeline Despite Pressure”
https://www.techzine.eu/news/privacy-compliance/132765/eu-sticks-to-ai-act-timeline-despite-pressure-from-companies
[7] CCIA Report — “EU Digital Regulation Factsheet” (2025)
https://ccianet.org/wp-content/uploads/2025/03/CCIA_EU-Digital-Regulation-Factsheet_reportfinal.pdf
[8] CIO Dive — “AI Regulation and Security Expected to Raise Enterprise Costs”
https://www.ciodive.com/news/enterprise-cost-increase-ai-regulation-security-data/724345
[9] DataRobot — “The Cost of Misbehaving AI”
https://www.datarobot.com/blog/misbehaving-ai-cost
[10] Reuters — “Most Companies Suffer Some Risk-Related Financial Loss Deploying AI — EY Survey (2025)”
https://www.reuters.com/business/most-companies-suffer-some-risk-related-financial-loss-deploying-ai-ey-survey-2025-10-08
Tuesday, 7 October 2025
Rethinking Speed Cameras: A Global Perspective on Policy, Technology, and Equity
Day 2 of 30 Days, 30 Cases — Policy Meets Technology: Speed Cameras
What happens when a city installs speed cameras—and then considers removing them? Ontario’s pause on automated speed enforcement (ASE) in Vaughan shows how policy and technology intersect. Data clearly shows speed cameras reduce speeding by around 50% and cut average speeds by nearly a quarter.
Local Success:As per the City of Toronto's Automated Speed Enforcement Program Evaluation Report 2023, "the proportion of drivers speeding in 30, 40, and 50 km/h speed zones respectively dropped from 59.8%, 51.7%, and 58.4% pre-intervention to 43.3%, 29.2%, and 35.7% when the ASE devices were operational".
- Excessive speeding (>20 km/h over) dropped ~87%
- 85th percentile speed fell by 6–8 km/h across most zones
- Over 80% of camera locations saw lower average speeds
Global Success: UK Fixed Cameras: Speeding fell 71%, road deaths & serious injuries down ~40%
Practical Challenges:
- Legal accountability: proving who was driving can sometimes be challenging
- Revenue perception: some intersections generate high fines, raising “cash grab” concerns
- Context matters: school zones at 2 AM being treated the same as that of 2 PM, signage issues, low-traffic areas may need adjusted enforcement
- NYC: enforces only significant violations, avoiding fines for minor infractions
- Seattle: has considered offering Equity Measures discounted fines to low-income drivers to prevent disproportionate financial burdens.
- UK & Europe: engage communities for transparency and trust
- Time-based enforcement: limit school zone cameras to peak hours
- Clear Thresholds: Speed limits that trigger enforcement to focus on significant violations
- Graduated Penalties: Fines based on the severity and frequency of offenses, with considerations for the driver's ability to pay
- Community Engagement: Involving local residents in the planning and evaluation of speed enforcement programs to ensure transparency and trust.
Monday, 6 October 2025
Deloitte's $440K AI-Generated Report: A Cautionary Tale for Business
[30 days, 30 Problems - In this series of one posting a day, I will investigate the economic impacts that unfold when policy meets technology.]
When policy meets technology without oversight, the consequences can be both reputational and financial. Deloitte’s partial refund to the Australian government after it was revealed that parts of a $440,000 report were generated by AI serves as a cautionary case for organizations using generative tools in high-stakes policy analysis.
When in July 2025, Deloitte delivered a report evaluating a welfare compliance IT system was for the Australian Department of Employment and Workplace Relations (DEWR), it was found to include AI-generated text containing fabricated citations and factual inaccuracies.
After an internal investigation, Deloitte agreed to refund a portion of the $440,000 contract value, acknowledging the inappropriate and undisclosed use of OpenAI’s GPT-4 model through Microsoft’s Azure platform.
The Guardian reported on October 6, 2025, that Deloitte’s leadership had voluntarily disclosed the use of AI and cooperated with the government to correct the record.
Financial and Reputational Cost to Deloitte (Estimated)
| Category | Estimated Cost (AUD) | Notes |
|---|---|---|
| Refund to Australian Government | 220,000 | Partial refund of contract value |
| Internal Audit and Review Costs | 80,000 | Compliance, legal review, and corrective reporting |
| Loss of Future Government Contract Bids | 500,000+ (projected) | Conservative estimate of short-term contract exclusion |
| Reputational Management and PR Costs | 50,000 | Crisis communication, public apology, stakeholder management |
| Total Estimated Financial Impact | 850,000+ | Including direct and opportunity costs |
Note: The above costs are estimated based on public reporting (The Guardian, ABC News) and some comparable case precedents for reputational losses in consulting contracts.
Broader Policy Implications
This case highlights a critical intersection between technology governance and public accountability:
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Transparency Gap: The report did not disclose that portions were generated using AI tools. This omission breached expectations under Australian Public Service guidelines for contractor disclosure.
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Verification Deficit: Automated text generation was not independently reviewed by a domain expert before submission, leading to factual errors.
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Accountability Challenge: The lack of clear policy on AI-assisted consulting led to confusion about responsibility for quality control.
These points align with emerging global standards such as the EU AI Act (2024) and Canada’s Artificial Intelligence and Data Act (AIDA), both of which require explicit disclosure and traceability of AI-generated materials in government and high-risk contexts.
AI Risk vs. Compliance Cost (Global Consulting Benchmarks)
| Risk Category | Average AI-Related Incident Cost (USD) | Likelihood in 2025 (%) |
|---|---|---|
| Undisclosed AI use in deliverables | 500,000–1.2M | 18% |
| Data leakage or IP risk | 1.8M | 12% |
| Hallucination or misinformation in reports | 300,000–800,000 | 25% |
| Loss of client trust/reputation | >2M | 30% |
Source: PwC Global AI Risk Survey (2025), Deloitte Insights (2024), and Stanford HAI AI Index (2025).
Lessons Learned: Responsible AI Use in Consulting and Policy Work
For Consulting Firms:
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Establish AI governance frameworks requiring disclosure, peer review, and validation of outputs.
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Adopt AI Ethics Committees to review use cases in government or public-interest projects.
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Track model provenance and maintain human-in-the-loop workflows.
For Governments:
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Require AI disclosure in all deliverables.
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Maintain audit logs of contractor-generated materials.
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Implement clear penalties for undisclosed AI use that compromises factual accuracy.
Deloitte’s AI controversy underscores a fundamental truth: efficiency cannot replace accountability.
Generative AI can accelerate analysis and drafting, but when deployed in policy-sensitive environments without guardrails, it risks undermining institutional trust and causing tangible financial loss.
As governments worldwide integrate AI into decision-making, this case serves as both a warning and a roadmap — demonstrating that responsible AI isn’t just an ethical imperative; it’s an economic necessity.
Friday, 22 March 2024
Are You Left-Brained or Right-Brained?
- Change is the only constant
- In only 5 years into my career and so far, I've been lucky to get the opportunity to work within the Finance function, the Marketing function, the HR function, and even the IT & Data Function of companies, which itself is a rare occurrence. Wearing several hats so far has given me a unique perspective.
- In the early stages of career (0-5 years at least), cross-functional understanding of business can help realize a person's strength areas.
- I don't think I will stop learning cross-functionally until I learn all aspects of businesses in-depth, so much so that I feel comfortable even starting a business of my own if I'd want.
Saturday, 16 March 2024
Why I Decided To Move Halfway Across The World To Canada
-Jumpa Lahiri, The Namesake
This is the exact question I asked myself, as I saw my invitation letter from the Government of Canada with the following words:
"We are pleased to invite you to apply for permanent residence under the Federal Skilled Workers". This is a highly competitive score-based immigration system for experienced professionals valued internationally for Canada's social benefits, healthcare, education, and a high quality of life.
I usually never second-guess, but in that moment, the prospect of quitting a well-paying reseach & consulting job in India and the proximity to my people to start life from square one barely held any appeal.
It was only after careful evaluation of the situation and my inner calling, that I made the decision to move to Canada. Following are some of factors I considered:
- Relocating is a major life decision and for me, it was either then or never. I consider late 20s as the perfect time to start a new life as all the other important life decisions like what role to restart from, where to get the first car, the first home would depend on identifying the base location first. Everything else, thereafter would be a domino effect of that.
- I kept reminding myself a quote that I read - "Don't Get Comfortable. You are Not A Tree. Keep adapting, Keep pushing your limits. Keep Winning." I know it takes a lot of patience and grit to start a life and a livelihood all over again and I wanted to experience and learn from it.
- I moved in 2023, when global recession predictions and more specifically for that in Canada were at an all time high. Being an economist myself, I was cognizant of the situation and the possible implications of difficulty in finding a job in my domain, but also, the offer I had by the government had an impending activation deadline, so the decision was timebound. After careful evaluation of the pros and cons, I realized that "Recessions are temporary. Career development in a global environment with a solid startup culture and diverse multicultural perspectives is an opportunity that would lead to long-term growth and/or character development".
- I highly value diversity and inclusion. So I love an environment of high gender and ethnic diversity. What really appealed to me was to see people of every gender, sexual-orientation, and ethnicity getting equal rights and opportunities in Canada. And there is always something to learn from the experiences of everyone. Also, although it doesn't impact me directly, but I love the fact that there are laws that enable same-sex couples to get married in Canada. Thus, my moral compass is very well-aligned to some such regulations of the country.
- Lastly, it seemed like the right decision and the right time in terms of my age. I was genuinely very excited to embrace the opportunity of living and working in a diverse, multi-cultural, and goal-oriented country with some of the nicest people in the world.
Rethinking Speed Cameras: A Global Perspective on Policy, Technology, and Equity
Day 2 of 30 Days, 30 Cases — Policy Meets Technology: Speed Cameras What happens when a city installs speed cameras—and then considers rem...
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