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What if the debate over AI's ability to build a financial model is completely missing the point?
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A data-driven analysis of the forces automating financial decision-making and disrupting human capital.
95%
Of companies report zero return from their AI pilot projects, despite billions in investment.
Success depends on navigating the "Human Stack"—the invisible layers of resistance within an organization.
Anchoring, confirmation bias, and overconfidence in human assumptions.
Resistance from departments fearing a loss of control or relevance.
An organizational culture that distrusts data-driven, automated decisions.
Analysis shows the vast majority of effort is focused on low-value, automatable tasks.
The traditional finance role is built on a foundation of inefficiency.
Of time is spent on data gathering and validation alone.
Automation isn't a single event. It's a progression, moving from assisting humans to replacing entire workflows.
The skills that defined the last generation of finance professionals are being automated. A new "Hybrid" professional is emerging.
$145M
Pigment's Series D funding round at a $1B valuation, signaling massive investor confidence in decision automation.
Venture capital is flowing decisively towards AI-enabled companies, valuing them significantly higher than their non-AI counterparts.
Read the full story here.
What if the debate over AI's ability to build a financial model is completely missing the point?
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