I first discovered accounting in my sophomore year of college and was immediately drawn to its zero-sum game: every trial balance must foot to zero, every debit matched by a credit; it was a perfect harmony of logic. But as I moved from the classroom to the conference room, I realized that behind each journal entry lies a human story far richer than any spreadsheet.
At EY, I spent years in the international tax practice, working on mergers and acquisitions, IP onshoring and cross‑border reorganizations, an environment where the answer almost always began with "it depends." Every multistep plan we proposed carried consequences across jurisdictions, and our task was to bring every stakeholder along, weighing trade‑offs in tax savings, implementation costs and regulatory scrutiny. Gaining that buy‑in requires something more than technical expertise; it demands trust, built through empathy and open dialogue. And while we may lean on AI tools for speed and analysis, the trust we place in another person is fundamentally different and irreplaceable.
It is certain that AI will truly upend our way of working. When I started out in my career and had to understand what GILTI, BEAT and FDII meant and why I should care about them, I had a few paths to take: 1. Go ask my senior or manager and have them explain it to me; 2. Look it up on Google and get well and truly lost reading through the regs; or 3. Go read a BNA portfolio. Now with even the most basic AI large language model, I can ask for it to define the subject, give me an example and break it down for me as if I am a child.
The access you have today to information is comparable to when the internet first became available and with this brings the debate: 'Will we need accountants in the future?" I understand why this question keeps getting brought up. Most people outside think we have a standardized workflow with pristine data for which we just log in at 9 and go home at 5 after working on our beloved spreadsheets. But ask anyone in the industry and they will tell you how they would love to have this kind of a lifestyle where each answer was clear and there was a definitive way forward.
As AI technology evolves, so too will the tools that have shaped our careers. Every day, new startups launch with the promise of revolutionizing how we work. Before long, I believe all the manual tasks we once performed will be fully automated. I look forward to the day when I can simply extract a trial balance from the system and generate a tax return that automatically applies book‑to‑tax adjustments, tracks every business change from the year, and delivers a complete, compliant filing. I'll shed tears of joy the first time I never have to hand‑fill a Schedule Q again.
But that's when my real work will begin. I will review each return not only to confirm that the numbers are entered correctly, but also to ensure they make sense in context. I'll seek to understand the story the business is telling: Why did certain figures move? What does this reveal about the company's strategy? And based on those insights, how can we design a proactive plan for the coming year? To answer these questions, I'll draw on every lesson from my critical thinking courses and ask why.
AI shouldn't be viewed as a career threat but as a powerful partner in our work. After all, our clients' finances are deeply personal, tied to their dreams, anxieties and life milestones, and emotions inevitably come into play. With regulations and tax laws shifting daily, clients will look to us not just for compliance, but for someone who can translate figures into a meaningful narrative. You personally know how many questions you got asked over the last few months asking you to predict what is going to happen this year. That's where human judgment is irreplaceable: knowing when to dig deeper, which details to emphasize, and how to guide clients through complexity with clarity and compassion.
In the age of AI, the professionals who will excel are those who invest as much in empathy, communication and critical thinking as they do in technical skills. They'll build workflows that require every AI‑generated insight to pass through a human lens and welcome the moments when financials reveal a story of resilience or ambition. AI will continue to accelerate change, but behind every algorithmic recommendation and every line on a tax return, there must be a person ready to listen, interpret and guide. Because at its core, finance will always be personal.
