Only 10% of businesses are using AI for real, agentic work, even though 85% of accounting teams call it a strategic priority. On this episode of The Accounting Disruptors, hosts Paul Peterson and Matt Barbieri unpack the newest AI adoption data from RAMP and FloQast to explain why chat subscriptions don't equal transformation. They break down what companies are actually spending on AI per employee, why fully self-driving cars sitting unused in driveways are the best analogy for accounting's resistance to change, and why the "capacity paradox" (accountants too buried in manual work to learn the tools that would free them from it) is the real barrier to adoption. They also cover the trust gap around AI-generated financial data, why data cleanliness matters more than the model itself, and what CFOs and controllers should actually be asking before they roll out AI.
The Accounting Disruptors is produced by Wiss, an AI-optimized CPA and advisory firm serving privately-held and venture-backed businesses.

Only 10% of businesses are using AI for real, agentic work, even though 85% of accounting teams call it a strategic priority. On this episode of The Accounting Disruptors, hosts Paul Peterson and Matt Barbieri unpack the newest AI adoption data from RAMP and FloQast to explain why chat subscriptions don't equal transformation. They break down what companies are actually spending on AI per employee, why fully self-driving cars sitting unused in driveways are the best analogy for accounting's resistance to change, and why the "capacity paradox" (accountants too buried in manual work to learn the tools that would free them from it) is the real barrier to adoption. They also cover the trust gap around AI-generated financial data, why data cleanliness matters more than the model itself, and what CFOs and controllers should actually be asking before they roll out AI.
The Accounting Disruptors is produced by Wiss, an AI-optimized CPA and advisory firm serving privately-held and venture-backed businesses.

Only 10% of businesses are using AI for real, agentic work, even though 85% of accounting teams call it a strategic priority. On this episode of The Accounting Disruptors, hosts Paul Peterson and Matt Barbieri unpack the newest AI adoption data from RAMP and FloQast to explain why chat subscriptions don't equal transformation. They break down what companies are actually spending on AI per employee, why fully self-driving cars sitting unused in driveways are the best analogy for accounting's resistance to change, and why the "capacity paradox" (accountants too buried in manual work to learn the tools that would free them from it) is the real barrier to adoption. They also cover the trust gap around AI-generated financial data, why data cleanliness matters more than the model itself, and what CFOs and controllers should actually be asking before they roll out AI.
The Accounting Disruptors is produced by Wiss, an AI-optimized CPA and advisory firm serving privately-held and venture-backed businesses.

Your Leadership Says AI is a Priority, but the Usage Data Tells Us Otherwise | Ep. 23

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