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Why we exist
AI is changing finance, accounting and procurement faster than any plan for the people whose jobs it touches. This gap is getting bigger by the day, we exist to close it.
The problem
AI adoption is outpacing any plan for the people it affects
Across finance, accounting and procurement, AI adoption is accelerating faster than any plan for the people whose jobs it touches. Invoice processing, reconciliation, reporting and analysis are all being automated at pace, often with headcount reduction as the primary business case rather than a side effect of it.
Finance, accounting and procurement professionals have had very little say in how that transition happens to them. In most cases, upgraded tools come with AI built in, so silent transitions can hollow out a department: minimal exposure, limited training, and a workforce that's suddenly under-skilled for the tools it's expected to use.
What tools are bought, and how they're adopted, and how existing staff are trained and upskilled, that's the root of the problem. This isn't a question of whether AI should be adopted, it's that the people most affected by each decision are consistently left behind.
Our answer
A voice for professionals, a standard for employers
Human Led Finance exists to give finance, accounting and procurement professionals that voice, and to give the employers who want to do this well a recognised standard to work toward, rather than leaving each organisation to work it out alone.
Through membership, finance professionals become part of a community, registering their support for Human Led Finance and wearing the badge with pride across their personal brand. For employers and software vendors, that means taking part in a certification, demonstrating how they're living up to the standard, adopting technology with open arms alongside structured, understood and agreed processes that keep the future of finance human led.
The evidence
This isn't a hypothetical five-year problem. Finance has absorbed major technology shifts before, spreadsheets, ERP, robotic process automation, but what's different this time is speed and opacity: previous tools automated a task you could see and check, generative AI increasingly makes judgement calls in ways that aren't always easy to verify. Here's a snapshot of what's already measurable.
What people are saying
The people building this technology don't agree with each other, which is exactly why the pace and shape of adoption shouldn't be left to chance.
We, as the producers of this technology, have a duty and an obligation to be honest about what is coming.
Dario Amodei
CEO, Anthropic
Told Axios in May 2025 that AI could eliminate up to half of entry-level white-collar jobs in finance, law, consulting and technology within five years, and that unemployment could spike to 10–20%.
In a benign scenario, probably none of us will have a job.
Elon Musk
Tesla / xAI
Speaking at VivaTech, Paris, May 2024, describing a future where AI and robotics remove the need for most work entirely.
It will eliminate jobs. People should stop sticking their heads in the sand.
Jamie Dimon
CEO, JPMorgan Chase
Also committed the bank to retraining, redeployment, income assistance and early retirement for staff affected, and noted around 150,000 JPMorgan employees already use AI tools weekly.
We're not taking a side in this argument, because we don't think there's a single right answer yet. Amodei's warning and Dimon's optimism are both plausible outcomes of the same technology. What we're certain of is that the pace and shape of adoption inside any one organisation is a choice its leaders make, not a fixed law of physics. The Human Led Framework exists to help employers and vendors make that choice deliberately, with a plan for their people, instead of finding out what they chose after the fact.
What we're here to prevent, and what we're here to build
What we work to prevent
- AI deployment decisions made with headcount reduction as the primary goal, rather than a considered outcome.
- Automation rolled out with no retraining or redeployment path for the people affected.
- Consequential financial decisions handed to AI with no accountable human owner.
- Finance and procurement professionals finding out how their role is changing after the decision has already been made.
What we work to build
- A recognised standard for augmentation-first AI adoption in finance and procurement functions.
- Clear retraining and transition pathways when a role is materially changed by automation.
- Human accountability retained over the decisions that matter.
- A genuine, organised voice for the professionals this change affects most.
Eliminate the work. Not the people.
That's the difference between resisting AI and directing it. We think finance professionals deserve better than being asked to choose between the two.
See how the framework puts this into practice
Five commitments, built to be signed by employers and assessed against over time.