The Last Finance Job
Finance jobs will end. Block laid off 4,000 people because of AI. Goldman Sachs is using AI to automate accounting. Here's what comes next for every CFO.
Block, the company behind Square and Cash App, laid off 4,000 people on Thursday because of AI.
That’s nearly half the company, wiped out in a single announcement.
Their fourth-quarter gross profit jumped 24%.
Cash App surged 33%.
They raised full-year guidance to $12.2 billion in gross profit.
The company is doing great, but they just don’t need the people anymore.
Jack Dorsey said it with confidence:
4,000 careers ended and investors threw a party.
The stock surged 24% overnight.
Every CEO, board member and investor saw that number.
He’s not alone.
Microsoft AI chief Mustafa Suleyman told the Financial Times that most white-collar tasks, including accounting specifically, will be fully automated within 12 to 18 months.
Anthropic CEO Dario Amodei warned that AI could wipe out half of all entry-level white-collar jobs.
JPMorgan’s Jamie Dimon said people will be working three-and-a-half-day weeks within a generation.
These aren’t bloggers. These are the people building the tools and running the banks.
If you’re a CFO reading this, what happened at Block is coming for your team next.
You must prepare.
I spent the whole week researching this. Talking to CFOs and CFOTech founders. Listening to interviews on YouTube. Going through podcasts.
Five patterns kept showing up everywhere I looked.
And they all point in the same direction.
Here’s what every CFO must understand right now.
Let’s dive in.
Your CEO Wants AI
This isn’t a one-time layoff.
It’s a loop. And once it starts, it feeds itself.
Block cuts 4,000 people. Stock jumps 24%. Every board in America sees it. Now your board wants answers.
They’re not the only ones watching. DBS, Southeast Asia’s largest bank, announced plans to cut 4,000 roles over three years through AI.
Your CEO starts asking why your finance team has 40 people doing work that three tools could handle.
Your FP&A director is quietly counting heads on his team, wondering which ones will survive next year.
This is how the loop plays out:
Companies cut people.
They save money.
They put the savings into AI tools.
The tools get better.
They cut more people.
Stock goes up.
Other companies follow.
Goldman Sachs put numbers on this. Their economists estimate AI-driven displacement could push unemployment to 4.5% by year-end, with tech and finance losing 5,000 to 10,000 jobs per month in exposed sectors.
And those are the conservative numbers.
Citrini Research modeled this loop to its end. Their scenario:
10.2% unemployment by 2028. The S&P down 38%. The $13 trillion mortgage market cracking because white-collar workers who hold those mortgages can’t make payments anymore.
That piece got 6,870 likes and 1,465 restacks.
People are reading it and forwarding it to their bosses.
The companies moving on AI are pulling away from the ones still talking about it. The gap gets wider every quarter.
In finance, this hits five areas hard.
Here's what's actually happening.
Read on.
1. Stop Doing The Manual Work
While you’re matching transactions line by line. Building journal entries by hand. Running the same flux analysis they ran last month. Doing intercompany eliminations in spreadsheets held together by prayers and conditional formatting.
Goldman Sachs is working with Anthropic for six months to build AI agents that automate trade accounting and client onboarding.
Their CIO said he was surprised at how well Claude handled accounting work, from parsing data to applying rules to exercising judgment. If Goldman is automating accounting with AI, what do you think happens to every team doing the same work with fewer resources?
HPE’s CFO Marie Myers built an internal AI agent called “Alfred” that automates quarterly close, forecasting, and accounts receivable. She developed it with Deloitte. It worked. Now she’s scaling it across the entire finance function in 2026.
A mid-market CFO cut his close from eight days to three. A tool matches his bank transactions automatically. A system drafts accruals based on last month’s patterns. An engine flags the 12 line items that need a human eye out of 12,000.
That’s today. Right now.
Before the next wave of improvements even hits.
57% of CFOs expect AI to reduce finance roles by the end of the year.
Dorsey said something in the Block earnings call that should worry every CFO:
Something happened in December last year where the models just got an order of magnitude more capable.
Most finance teams haven’t felt that yet.
When they do, the eight-day close goes to one. Then the close becomes continuous. The books are always current. Cash flow forecasts become accurate in real time.
You stop looking in the rearview mirror.
You start looking through the windshield.
2. Don’t Trust AI Blindly
I spoke to a CFO who said,
My job isn’t to calculate anymore. My job is to ask, does this make sense?
For decades, CFOs earned their seat by building the model, running the numbers, and stress-testing assumptions.
Your value was your team’s analysis.
Imagine an FP&A team of ten spends three weeks building a board deck. Two of those weeks? Data gathering. Model building. Formatting slides. The actual thinking, the moment someone says “wait, this margin doesn’t match what I’m hearing from sales,” gets maybe a day.
Now flip that.
AI does the data, the model, and the deck. The team spends three weeks debating scenarios. Challenging assumptions. Arguing about what’s real and what’s noise. Same ten people. Way better output. They’re finally doing the work that actually needs a human brain.
But here’s what scares me.
AI makes it easy to build analysis that looks perfect and means nothing. A beautiful chart. A confident number. Completely disconnected from what’s happening in the business. That’s more dangerous than a messy spreadsheet built by someone who understands the company.
The most important skill going forward isn’t using the tools.
It’s knowing when the tools are wrong.
The CFO of the future isn’t a calculator.
The CFO of the future is a validator.
3. The Cost of Financial Intelligence is Going Down
If AI-powered finance only works for companies with $50 million tech budgets, we haven’t fixed anything. We’ve made the gap worse.
I don’t think that’s where this goes.
The market is already moving.
Basis, an AI-native accounting startup, just raised $100 million at a $1.15 billion valuation. Backed by Accel, Google Ventures, and former Goldman CEO Lloyd Blankfein.
An accounting AI company is now a unicorn.
Intuit launched a full AI-native Accountant Suite that analyzes profitability, automates payroll and reports, and detects anomalies across books and tax. The biggest incumbent in accounting software is rebuilding its entire product around AI.
And the market is punishing anyone who moves too slowly.
Xero dropped 15% in a single day, its worst crash since March 2020, because investors decided AI would eat its business. The stock market isn’t debating whether AI disrupts accounting anymore. It’s pricing it in.
This means a $15 million company will have access to modeling, scenario analysis, and real-time reporting that today needs a team of twenty at a $5 billion company.
The cost of financial intelligence is collapsing.
What that means in practice:
A smaller company using AI well will out-decide a bigger company that isn’t.
The size of your team stops determining the quality of your finance function.
One fractional CFO serves five or ten companies with the depth they used to bring to one.
A small firm offers advisory work that used to be Big 4 territory.
This also changes who becomes CFO.
When AI handles the heavy analytical lifting, the role opens up to people who think strategically but didn’t come through the traditional accounting to controller to CFO path. People with operational backgrounds. Commercial instincts. People who understand technology.
The problem isn’t the tools. The tools exist. The problem is adoption.
Gartner’s 2025 AI in Finance Survey tells a wild story. AI adoption in finance jumped from 37% in 2023 to 58% in 2024. Then in 2025? One percentage point. From 58% to 59%.
One percentage point. While everything changed around them.
87% of CFOs say AI is critical to their function’s future.
Almost everybody believes. Almost nobody moves.
The question is which side of that gap you’re on when the leveling hits.
4. Audit Everything, Not Just 5%
Finance isn’t just about speed. It’s about trust. The entire system, from audited statements to regulatory filings to internal controls to board oversight, exists because people need to believe the numbers are real.
AI creates a problem here.
If AI builds the numbers, who checks them?
I’ve heard this from controllers losing sleep over automating journal entries. From CFOs who won’t let AI touch anything near an SEC filing because they can’t explain the logic to a regulator.
Fair concerns. The trust infrastructure isn’t ready yet.
But think about what an AI-powered audit actually looks like:
Instead of sampling 5% of transactions and hoping the other 95% are fine, you test all of them. In real time.
Instead of checking controls once a quarter, you watch them every day.
Instead of trusting management’s word, you verify against source data yourself.
The audit gets more thorough. Way more thorough.
The Big 4 know this. All four firms launched multi-agent AI platforms in 2025.
EY’s platform alone runs 150 AI agents supporting 80,000 tax professionals across data collection, document review, and compliance.
Deloitte’s finance agents are cutting costs 25% and freeing thousands of hours yearly. They’re doing this because a continuous AI-powered audit beats a periodic human audit based on samples. Every time.
Here’s the bigger picture.
Real-time reporting. Continuous monitoring. Automated anomaly detection. It gets very hard to hide things when everything is being watched, all the time, by systems that don’t get tired, don’t cut corners, and don’t have a reason to look the other way.
Fraud won’t stop. People are creative. But pulling it off gets way more expensive. And the advantage shifts from the people hiding problems to the people hunting for them.
That changes the honesty of entire markets.
5. Finance is Splitting into Two Lanes
This is the section you skipped to.
What happens to the people?
Finance employs millions.
Bookkeepers.
Accountants.
Analysts.
Controllers.
Auditors.
Tax professionals.
Treasury managers.
A lot of these jobs are built around work that AI will take over.
The transaction processing. The reconciliation. The data gathering. The routine analysis. These are exactly the tasks where AI is strongest.
Block just proved this isn’t theory. Dorsey didn’t cut admins. He cut engineers, product managers, analysts, and operational staff across every level.
AI tools are reaching into every layer of knowledge work.
And 55,000 jobs were cut in 2025 with companies specifically pointing to AI as the reason. Twelve times more than two years ago. In 2026, tech layoffs hit 30,700 in just the first six weeks, on pace to top last year’s 245,000.
So let me say what most people in my position avoid saying.
Finance jobs are shrinking.
Finance is splitting into two lanes:
Lane one: Financial Control
Governance. Making sure the numbers are right. This lane is getting automated fast. The human role shrinks to oversight, reviewing what AI produces, handling the weird edge cases, and keeping the framework intact. Fewer people will work here. Way fewer.
Lane two: Strategic Finance.
FP&A. Business partnering. Capital allocation. Figuring out where the company goes and making sure it can afford to get there. This lane is growing. AI gives these people better tools, more time, and more reach. Demand for this work goes up.
The World Economic Forum’s Future of Jobs Report 2025 backs this up. AI and big data top the list of fastest-growing skills through 2030. Seven out of ten employers say analytical thinking is essential. And 41% of employers plan to shrink their teams as AI handles more tasks.
Every CFO I ask about hiring says the same thing now.
One word: curiosity.
You can teach someone accounting standards.
You can’t teach someone to care.
Very few finance people dreamed of matching bank transactions for a living.
Very few got into this career to copy data between systems and rebuild the same report twelve times a year.
Most of them wanted to understand how businesses work.
To help them win. To sit at the table where the real decisions happen.
AI doesn’t destroy that dream.
AI is the first thing that actually makes it possible.
But only if you’re in the right lane.
The Bottom Line
Block laid off 4,000 people. Stock surged 24%. Dorsey said most companies will follow within a year.
Goldman Sachs is building AI agents to automate accounting. Basis just became a billion-dollar company doing the same thing. Xero lost 15% of its value in a day because the market thinks AI will eat it alive.
The loop has started. And it’s accelerating.
87% of CFOs say AI matters. Adoption moved one percentage point last year. The gap between believing and doing has never been wider.
The CFOs who are ahead right now didn’t have a grand strategy. They didn’t wait for clean data or the perfect vendor or a training program.
They picked one workflow. Opened one tool. Started.
And they didn’t stop after the first pilot.
That’s the whole difference.
Finance has done things the same way for 40 years.
Mainframes to PCs to ERPs to cloud.
The tools changed but the rhythm didn’t.
Month-end close. Quarterly reporting. Annual budget. Over and over.
AI breaks that rhythm. The continuous close. Real-time decisions. Financial intelligence that used to cost millions is now available for the price of a monthly subscription.
The last finance job won’t disappear because someone forces it out.
It will disappear because the work changes shape. And the people who changed with it will have the careers everyone else wishes they’d built.
The only question is which lane you’ll be in when it does.
And that’s all for today.
See you on Thursday.
Whenever you’re ready, there are 2 ways I can help you:
If you’re building an AI-powered CFO tech startup, I’d love to hear more and explore if it’s a fit for our investment portfolio.
I’m Wouter Born. A CFOTech investor, advisor, and founder of finstory.ai
Find me on LinkedIn
Sources:
As an FCA, I think the tone here is a bit extreme.
AI is not the death of accountancy — it’s the overdue automation of the least human parts of it.
Let’s be honest: high-volume bookkeeping, manual reconciliations, and constructing complex multi-currency, multi-event journals are not why most of us entered the profession. They’re cognitively draining, rules-based, and error-prone under time pressure. They require precision, but not necessarily judgment.
AI is exceptionally well suited to that layer.
Where this becomes exciting — rather than threatening — is what happens next.
When AI handles journal construction, reconciliation anomalies, FX remeasurement routines, lease calculations, or revenue recognition edge cases under frameworks like International Financial Reporting Standards, finance leaders gain time. And time is the scarce asset.
CFOs and finance teams move up the stack:
* Scenario modelling instead of manual variance explanations
* Capital allocation strategy instead of spreadsheet plumbing
* Real-time liquidity forecasting instead of backward reporting
* Risk analysis instead of ledger maintenance
The profession has already evolved multiple times — from paper ledgers to Excel, from desktop software to cloud platforms like Xero and Sage. Each shift triggered fear. Each shift expanded the strategic role of finance.
AI is simply the next layer.
Yes, controls, auditability, governance, and explainability matter enormously. But that’s precisely why accountants remain central. AI doesn’t remove the need for professional judgment — it increases the leverage of it.
Bookkeeping is not the pinnacle of the profession. Judgment, ethics, and capital stewardship are.
If anything, AI pushes us closer to those core competencies.
The question isn’t “Will AI replace accountants?”
It’s “Will accountants who ignore AI replace themselves?”