Dashboard-style view of quantitative callouts and headline themes from Deloitte’s perspective piece on how AI is moving from experimentation to measurable impact across finance, the enterprise, and the market. Primary source (read alongside this page): Deloitte US Finance Transformation article “The CFO Guide to Tech Trends 2026”, with endnote trail to Finance Trends 2026, Tech Trends 2026, Gartner, and Bank of America Institute notes we tag below as [2]–[5].
Canonical URL for screenshots / sharing: deloitte.com · CFO Guide to Tech Trends 2026 · Perspective dated 24 Mar 2026 on that page.
This page is an educational summary. Figures are as stated in the article’s narrative and footnotes; it is not a substitute for the underlying Deloitte, Gartner, or Bank of America Institute publications. [1] [2]
KPI strip mirrors headline statistics called out in the Deloitte article body: 63% active AI use in finance ties to Finance Trends 2026 research [2]; tech-leader integration (78%), augmentation hiring (~70%), and revenue-oriented tech centres (66%) appear in Deloitte’s Tech Trends 2026 citations [5].
The article organises CFO guidance around five technology vectors—robotics, agentic AI, AI infrastructure/inference economics, AI-native tech organisations, and AI-assisted cyber defence—and frames each against three finance missions (“for finance,” “for the enterprise,” “for the market”). The cards below paraphrase that structure; check the primary narrative for exact wording. [Deloitte]
Physical AI reshaping operating costs; CFOs need ROI discipline and workforce pathways for physical AI fluency—finance for enterprise KPI alignment. Humanoid unit-cost trajectories cited via Bank of America Institute [3].
Organisations pilot autonomous agents amid integration, data, and governance hurdles; finance scrutinises cost-to-serve and agentic deployment economics. Deloitte cites Gartner projections for agentic AI in decisions and software augmentation by 2028 [4].
Inference spend outrunning efficiency gains; on-prem, colocation, token costs, and “tokenomics” land on the CFO’s desk. [Deloitte]
IT operating models shift as agents join teams; CFOs can learn CIO playbooks on product-centric partnership and reskilling—statistics such as the 78% / ~70% / 66% trio charted below are anchored in Deloitte’s Tech Trends 2026 citations. [5]
Finance co-stewards risk: fund AI-aware security, govern shadow AI, partner with the CISO alongside core AI investment. [Deloitte]
Deloitte’s piece explicitly groups implications into (i) efficiency inside finance, (ii) enterprise predictive capabilities and cash/margin outcomes, and (iii) market trust and shareholder signalling—use the triad when aligning technology roadmaps with investor narratives. [Deloitte]
Before the first chart pair: the Deloitte article juxtaposes finance-function AI adoption (majority already in active use per Finance Trends 2026) with third-party forward estimates on agentic systems—so you can tell a “today vs trajectory” story on one slide. Finance adoption share: [2] · Gartner 2028 figures as relayed in Deloitte’s footnotes: [4] · governing article: [Deloitte].
Takeaway: the doughnut encodes the article’s headline 63% / remainder split for finance teams already using AI solutions; the adjacent bars restate Gartner’s 15% / 33% 2028 directional statistics as cited in Deloitte’s endnotes—pair them when stress-testing capital allocation between “scale today” and “option value on agents.” [2] [4]
Capital expenditure & tech leadership: the lower pair translates physical-AI unit economics (Bank of America Institute ranges quoted in Deloitte) and three Tech Trends 2026 percentages on integrating agents, expanding teams alongside Gen AI, and treating tech as a revenue contributor—not only a cost centre. BofA: [3] · Tech Trends stats: [5].
Takeaway: the humanoid cost bars visualise Deloitte’s cited fall from roughly $35k (2025) to roughly $13k–$17k (2035) material cost band; the horizontal tech-leadership chart stacks three separate survey claims that all originate from the same Deloitte Tech Trends 2026 compendium referenced on the page—use footnote [5] when auditors ask for provenance. [3] [5]
Anchor list below mirrors the endnote trail published under the Deloitte CFO tech-trends article; open each underlying publisher PDF or page when citing externally.
Read the full perspective: deloitte.com · CFO Guide to Tech Trends 2026