Saturday, 6 June 2026

The Corruption Game Theory: Why Ethical Behavior Should Be Rewarded



"Does the very concept of ethics hold meaning when real estate, financial markets, and commodities can be manipulated for private gain? How can systems built on uncertainty and volatility be trusted when uncertainty itself can be deliberately manufactured?”

Ethics is often described as the invisible foundation of civilization - the belief that systems, institutions, and markets function under some shared moral understanding. Yet one uncomfortable question continues to surface across politics, finance, governance, and economics:

What happens to ethics when uncertainty itself can be manufactured?

Modern economies are presented as systems governed by merit, competition, demand, and probability. We are taught that markets rise and fall naturally, that prices reflect value, and that risk is simply part of life. But reality often reveals something different: uncertainty is not always accidental. Sometimes, it is engineered by those powerful enough to influence outcomes before the public even realizes what is happening.

Consider real estate. Across many countries, allegations periodically emerge about politically connected individuals or bureaucrats purchasing land shortly before infrastructure projects, rezoning approvals, or industrial developments are announced. A road appears, a metro line is sanctioned, a commercial hub is approved, and suddenly barren land multiplies in value overnight. For ordinary citizens, it appears like luck. But for those with privileged access to information, uncertainty was never uncertainty at all. The future was partially visible.

The same pattern exists in financial markets.

A single statement from influential figures such as Elon Musk has repeatedly demonstrated the power to move billions of dollars within hours. Cryptocurrencies surged after endorsements and tweets, drawing in retail investors driven by fear of missing out. However, markets influenced by celebrity sentiment are not purely organic systems. They become emotionally leaking ecosystems vulnerable to manipulation. When influential holders exit after generating enthusiasm, ordinary participants are often left absorbing the losses.

History provides even larger examples.

During the 2008 Financial Crisis, several financial institutions packaged risky mortgages into complex instruments while simultaneously betting against those very products. The public believed they were participating in a stable economic system, yet some insiders understood the fragility beneath it. Profit was extracted not despite the collapse, but partly because of it.

Commodity markets also reveal this contradiction. Oil prices can swing dramatically due to geopolitical narratives, production cuts, speculation, or coordinated actions by powerful states and corporations. Food commodities fluctuate while farmers struggle and consumers pay inflated prices. A drought, a war, or even a rumor can reshape global pricing. In theory, markets reflect supply and demand. In practice, perception itself becomes a tradable weapon.

Even technology platforms operate within this logic. Social media algorithms amplify outrage because outrage generates engagement. Fear spreads faster than nuance. Public opinion becomes easier to influence when attention itself is monetized. Trends no longer emerge entirely from collective interest; they can be boosted, buried, promoted, or manipulated through systems invisible to the average user.

This creates a deeper philosophical problem.

If systems can be influenced so heavily by concentrated power, then what exactly does “fairness” mean? Can ethics survive in environments where access to information is unequal? Where influence itself becomes capital? Where narratives shape economic outcomes as much as actual value?

At the center of this lies what can be called a game theory paradox of power.

A person in a position of influence often faces two choices:

If they refuse to misuse power while others continue exploiting loopholes, manipulating systems, or leveraging insider advantage, they risk falling behind and eventually losing influence altogether.

If they participate in the same unethical mechanisms, they preserve or expand their position, but at the cost of moral compromise.


In such a system, ethics begins to appear structurally disadvantageous. The problem is no longer lack of individual morality alone; it becomes systemic incentive design failure. A system that consistently rewards manipulation while punishing restraint gradually normalizes unethical behavior - not necessarily because individuals are inherently evil, but because survival within the system increasingly depends on strategic compromise.

This resembles concepts explored in Game Theory, especially prisoner’s dilemma-type situations, where rational actions by individuals can collectively produce destructive outcomes. Everyone understands the system is degrading trust, yet each participant fears unilateral honesty because others may exploit it.

So is there any solution?

There is no perfect solution, but history suggests societies remain stable only when institutions reduce the rewards of unethical advantage. Strong transparency laws, independent media, accountable governance, conflict-of-interest enforcement, decentralized access to information, and public scrutiny all attempt to reduce asymmetry. The goal is not to eliminate human greed, as that may be impossible, but to design systems where ethical behavior is not strategically suicidal.

Culture also matters. When societies glorify wealth without questioning how it was accumulated, manipulation quietly becomes aspirational. But when integrity itself carries social and institutional value, incentives begin to shift.

Perhaps the real challenge of civilization is not eliminating corruption entirely, but preventing systems from reaching a point where ethical behavior becomes irrational.

Because once morality becomes a competitive disadvantage, trust collapses slowly across every institution - markets, governments, media, and even personal relationships.

And when trust collapses, societies may still function economically, but they begin to decay psychologically. People stop believing in fairness, effort, or collective responsibility. Everything becomes transactional. Everyone assumes someone behind the curtain is controlling outcomes.

That may be the most dangerous form of uncertainty of all: not economic uncertainty, but moral uncertainty. 

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:

  • Travel cards (Aeroplan, WestJet)

  • 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:

  • Visa — 36.5%

  • Mastercard — 23.9%

  • Interac (mostly debit) — 37.6% [4]

Meanwhile, fintechs are reshaping the space through:

  • Digital-first, low-fee credit cards

  • Instant approvals and virtual cards

  • 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:

  • Debt-to-income ratio: ~180% (Q2 2024)

  • Credit card balances: up nearly 10% year-over-year as higher interest rates increase revolving debt [7]

  • 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:

  • Shelter: 32.1% of total spending (~$24,671 per household)

  • Food: 15.7% (~$12,046 per household, with ~$3,351 on restaurants)

  • Transportation: 15.8% (~$12,090 per household)

  • Recreation & Travel: Strong rebound post-pandemic, led by dining, entertainment, and air travel

  • 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:

  • Technology removes friction

  • Rewards create loyalty

  • Fintechs shift power

  • 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)

  • 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]

  • 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

  • AI systems are classified by risk levels — from “minimal” to “high risk” and “unacceptable.” The higher the risk, the stricter the obligations. [1]

  • Penalties for non-compliance are severe: up to €35 million or 7% of global turnover, whichever is higher. [4]

  • 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?

  • 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]

  • A KPMG / CIO Dive survey found that over 50% of business leaders expect AI compliance and security requirements to raise costs. [8]

  • Data breaches in 2024 averaged $4.88 million per incident, with weak AI governance amplifying that risk. [9]

  • 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

  1. Map your AI exposure — identify all models or features that touch EU markets.

  2. Classify risk levels — apply the Act’s definitions early.

  3. Build compliance infrastructure — documentation, audits, bias checks, risk logs.

  4. Adopt “trustworthy by design” principles — human oversight and transparency.

  5. Monitor evolving guidance — the EU will release codes of practice and model risk templates further.

  6. 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

Global Best Practices:

  • 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
A Balanced Approach: Speed Enforcement works and the data shows it, however, we can optimize it to address public perception:
  • 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.

As municipalities evaluate their speed enforcement strategies, it's essential to balance technological advancements with equitable policies and community engagement. By learning from global practices and considering economic factors, systems can be developed that enhance road safety without compromising fairness.

Safety works. Let’s optimize, not eliminate.

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:

  • 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.

  • Verification Deficit: Automated text generation was not independently reviewed by a domain expert before submission, leading to factual errors.

  • 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:

  • Establish AI governance frameworks requiring disclosure, peer review, and validation of outputs.

  • Adopt AI Ethics Committees to review use cases in government or public-interest projects.

  • Track model provenance and maintain human-in-the-loop workflows.

For Governments:

  • Require AI disclosure in all deliverables.

  • Maintain audit logs of contractor-generated materials.

  • 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?







I was convinced I was a left-brained person until I started gaining notice of my visual, creative, and intuitive side too

At the age of 8, I discovered my love for writing, and it has been a passion that I have pursued throughout my life. From writing poems and opinion pieces for university magazines to authoring market intelligence and consulting/data reports for Gartner and Mordor Intelligence, my writing skills have always gained notice and has been a valuable asset in my career.

In my late teens, I realized that I also had a knack for Mathematics and Statistics, when I was consistently scoring straight A's in all the disciplines most of my peers would dread. Little did I know back then, that this would help me when I would later go on in my job presenting complex data findings to stakeholders, building models from scratch, or cracking otherwise nerve-racking guesstimate interviews.

In the aftermath of the 2008 financial crisis hitting the stock markets, I also got fascinated by the business world in general (and the economic factors that shaped them), and by the functionality of the share market in particular. Imagine a young teenager wondering about all this lol. However, this curiosity led me to pursue a bachelor's in Economics and a master's in Business Economics and Finance as well. When I was studying at the University of Delhi, I gained a deeper understanding of personal finance and later started investing in stocks, bonds, mutual funds, options/futures, and ETFs that would yield me long-term returns. Moreover, I earned a certification that would allow me to be an expert in the field and help my friends build strong diversified portfolios. 

With the data bend of mind, I was convinced I was a left-brained person until I started noticing my visual, creative, and intuitive side, when at work, my client presentations were repeatedly appreciated for exceeding expectations on analysis of course, but also on visual appeal and clarity. Of course, I would work on making them as intuitively as possible - even sometimes after my work hours - not to please anyone - but because I identified it as an opportunity to channel my inner creativity. I realized that I was perhaps good at designing when I started winning hundreds of dollars in prizes and gigs for taking out just 30 minutes for designing logos, ads, or website banners for companies. I was always working with data so this is when I started furthering data visualization skills through projects on essential BI dashboarding tools such as Tableau, Excel, and Power BI.

One thing led to another, and with data visualization, the next thing that I learnt to work well with was some technology and coding to learn how to fetch and analyze the data. Of course, a plunge into the world of technology tools and methods ignited another interest - technology, business processes, product, and project management.

After circling back to my constant love for business, one thing that I realized is:
  • 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.
Learn, connect, and evolve. 
And as Steve Jobs said, "Stay hungry, stay foolish"

#business #passion #finance #writing #mathematics #statistics #dataanalysis #consulting #datavisualization #personalfinance #leftbrain #rightbrain #investing #technology #coding #design

Saturday, 16 March 2024

Why I Decided To Move Halfway Across The World To Canada



"Can you go halfway around the world, and live in a cold city with freezing winters? Can you leave your friends and family? Wouldn't you be lonely?"

-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. 

More so, because I love India. The love, the education, the principles, the family values, the work diligence, the peace-loving outlook, the experiences, and the resources to grow up India has given me were incredible in shaping me into the well-rounded individual I am today. It will always stay with me and I will always be grateful to the soil of my motherland.

Additionally, what made the decision even more difficult was the fact that my life in India had become extremely comfortable, specially after I started working from home during COVID. Although my work was challenging to my liking, all my personal work was outsourced, and I was working at home, spending way too much time alone in front of my computer than I wanted my 20s to be. As India doesn't have a minimum wage in the unorganized sector, having the option to afford a servant and a cook at less than $1 an hour was another factor that made me dependant for even my basic needs like food. Working from home, I was pampered and had time for personal development. 

However, at the end, I considered myself a little too comfortable to realize my true potential. I wasn't networking to the best of my ability as I never had to look for a job myself after college. Opportunities had always knocked on my door, either through a campus placement or a LinkedIn offer. As a result, I started lacking enough inspiration to realize my potential - something that I had seen shine through on multiple occasions in both my academic and professional life when I worked with people.

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:

  1. 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.
  2. 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.
  3. 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".
  4. 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.
  5. 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.

It takes courage to take a leap of faith as big as this and to move continents. 

I am just carrying 4 virtues with me on this journey:
- Respect
- Resilience
Quest for Self-Awareness
- Constant & Lifelong Learning

And I hope to pick up more on the way.

Wish me luck!


Here's an applaud to the courage of all immigrants. 

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...