The future of treasury in 2026: A new tech mandate for finance leaders

A TD Bank survey of 246 treasury professionals at AFP 2025 finds 80% still rely on manual or fragmented systems and that three-quarters view digital cash‑flow visibility and liquidity tools as transformational, yet adoption remains limited; firms investing in treasury capabilities report the biggest gains in real‑time cash management. TD’s head of treasury forecasting expects accelerated digitization — including agentic AI for cash management — alongside rising fraud and cyber risk and sustained importance of relationship banking. In other corporate and macro signals, Keurig Dr Pepper appointed Anthony DiSilvestro as CFO while pursuing an ~$18 billion JDE Peet’s buy (expected H1 2026); McKinsey estimates AI could technically perform ~57% of U.S. work hours (unlocking up to ~$3tn), and Bank of America data shows concentrated holiday spending around Black Friday (25% of shoppers; 41% of Gen Z) with a 43% higher average daily retailer spend across Black Friday–Cyber Monday.

Analysis

Market structure: Corporates and banks with integrated treasury desks are poised to capture outsized fee and deposit-share gains as digitization accelerates; expect incumbent large banks (e.g., BAC, JPM) to win 60–70% of near-term renewals because relationship banking + balance-sheet funding remain decisive. Fintech treasury/SaaS vendors gain pricing power on analytics and AI but face slower adoption — survey suggests only ~25% adoption today, implying multi-year revenue ramps, not instant disruption.

Risk assessment: Key tail risks are a major fraud/operational event or regulation curbing AI agents in payments (low-probability, high-impact within 6–18 months) that would reset valuations for agentic-AI vendors and raise compliance costs ~5–10% of revenues for processors. Hidden dependency: human firewall and change-management lag — even with superior tech, adoption stalls if CFOs cannot secure capex; this amplifies concentration risk toward relationship banks.

Trade implications: Tactical long-overweight banks with proven treasury platforms (BAC) and cybersecurity providers (PANW/ZS) for 3–12 months; use defined-risk option structures to buy upside while protecting against a 10% drawdown. Sell or avoid high-multiple pure-play treasury SaaS names that price in rapid adoption (>40% YoY revenue growth) until large corporate conversion data shows >2–3% quarter-over-quarter uptake; consider 6–12 month pair trades capturing this dispersion.

Contrarian angle: Market assumes rapid, linear SaaS adoption; history (ERP/FP&A rollouts) shows multi-year adoption with 20–40% churn in early projects, so growth multiples for pure-play treasury SaaS are likely overstated. If FRAUD events spike, banks with scale and advanced fraud tooling could reprice higher; conversely, an absence of regulatory shocks in 12 months will benefit AI-native vendors more than currently priced.

Key Decisions for Investors

• Establish a 2–3% long position in Bank of America (BAC) with a 3–9 month horizon to capture treasury deposit and fee uplift; set a target +15% and hard stop at -8% (sell if BAC underperforms financials by >5% in 30 days).
• Allocate 1–2% to cybersecurity (e.g., Palo Alto Networks PANW or Zscaler ZS) via 3–6 month call spreads (buy ATM, sell 15–20% OTM) to hedge increased fraud surface; target >30% spread return if corporate treasury digitization accelerates.
• Initiate a 1% long FIS (FIS) vs 0.75% short Coupa (COUP) pair trade, 6–12 month horizon: long balance-sheet/processor exposure, short high-multiple treasury/SaaS premium that assumes immediate enterprise conversion. Close if COUP reports sequential enterprise ARR acceleration >3% QoQ or FIS misses payments volume by >4% in a quarter.
• Reduce exposure to Shake Shack (SHAK) by 50% within 30 days (or trim to a <=0.5% position) due to CFO transition and near-term execution risk; re-enter only if SHAK rallies >20% on improving operating metrics or new CFO guidance on margins is published within 90 days.