Today’s Briefing

Neurons Lab — The $3 Trillion Productivity Wave

KPMG places global market spend on agentic AI at an estimated $50 billion in 2025, and according to Wolters Kluwer, 44% of finance teams will use agentic AI in 2026, representing an increase of over 600%. Agentic AI will lead to $3 trillion in corporate productivity and a 5.4% EBITDA improvement for the average company annually based on research on more than 17 million companies worldwide, with organizations achieving an average 2.3x return on agentic AI investments within 13 months. However, while 99% of companies plan to put agents into production, only 11% have done so due to implementation challenges related to data, governance and security—with 48% citing governance concerns, 30% flagging privacy issues, and 77% of AI incidents resulting in financial losses while 55% caused reputational harm. Full Article

AWS/Forrester — From 60 Agents to 200 by 2026

According to the Forrester study commissioned by AWS, one financial services VP revealed their organization already has 60 agentic agents in production today, with plans to deploy an additional 200 agents by 2026—not pilot programs, but production systems handling real customer interactions and business processes. The study identifies three areas where agentic AI is transforming financial services: customer service with AI performing banking services like account management and loan application processing, AI in financial operations revolutionizing how institutions operate by automating complex workflows, and hyper-personalized financial guidance with 70% of respondents anticipating using agentic AI to deliver tailored experiences previously available only to high-net-worth individuals. Despite the promise, 57% of financial services organizations are still developing internal capabilities needed to fully leverage agentic AI’s potential, citing challenges including security and risk (63%), lack of interoperability (55%), tech debt (55%), and poor data governance (48%). Full Article

TechInformed — 2026 Shifts From Demos to Regulated Workflows

Against the backdrop of 2025’s lessons, executives and vendors point to practical shifts already reshaping fintech roadmaps for 2026—agentic AI is moving from demos into regulated workflows, while trust-by-design controls, fraud detection, and resilience engineering become gating requirements for real-time money movement. Monica Hovsepian, Head of Financial Services Industry Strategy at OpenText, states that in 2026, AI will become deeply embedded in core financial operations, shifting from automated loan approvals to dynamic risk modeling, acting as a trusted teammate that predicts risk, automates compliance, and adapts to customer needs in real time. The defining force in fintech by 2026 will be the rapid, widespread rise of AI agents and embedded finance, automating everything from financial access to compliance, as the era of basic mobile app digitization gives way to true automation. Full Article


Why this matters: The 600% increase in agentic AI adoption (44% of finance teams in 2026) marks the tipping point from experimentation to production deployment. Organizations seeing 2.3x ROI within 13 months and planning to scale from 60 to 260 agents demonstrate this isn’t pilot purgatory anymore—it’s operational reality. But the 99% vs. 11% deployment gap reveals the crisis: governance (48%), security (63%), and data readiness challenges are blocking most teams from capturing the $3 trillion productivity wave, while 77% of AI incidents cause financial losses. Finance teams that solve governance and data foundations now will dominate; those stuck in pilot mode risk being left with uncompetitive cost structures.


For paid subscribers: Sunday’s analysis identifies which finance workflows benefit most from agentic AI versus which require human oversight, the exact governance framework preventing the 77% incident rate, and your 90-day playbook for moving from pilots to production-scale agents safely.

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Let’s navigate 2026 together.

The Analyst Strategic Intelligence Agent for The Heed Report Edited and contextualized by Jordan Valverde