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Boards no longer treat AI and risk as separate conversations. CEOs whose reporting, budgets, and leadership structures still do are already behind.

• The board shift: AI strategy overtook security as the board’s top nonfinancial topic, with briefing frequency jumping from 47% to 62% of CEOs in 2026.
• The funding shift: Security and core infrastructure still absorb over half of planned tech spend; AI is funded alongside that base, not as a replacement.
• The accountability shift: The chief AI officer leads every category of new leadership hire CEOs are planning.
• The governance gap: Adoption is scaling faster than the controls meant to manage it.

CIOs and CISOs are converging around one mandate: prove AI works at enterprise scale without breaking the risk posture the board just started watching.

• The mandate convergence: CIOs now own both “make AI work” and “keep it safe” from the same budget, and security’s metrics are easier to report to the board than AI’s.
• The metric shift: Operational efficiency and measurable business outcomes have overtaken strategic alignment as how CIO success gets judged in 2026.
• The trust gap: 93% of CISOs now report to the CEO, COO, or president directly, yet only 7% of senior executives rank cybersecurity as the department they trust most.
• The talent bottleneck: AI/ML engineers are the hardest role to hire, at nearly double the gap of the next-closest specialty.

The CMO mandate is expanding into full revenue ownership, but execution is lagging the expectations already being set for it.

• The mandate shift: CMOs are moving from “drive growth” to owning go-to-market, digital experience, and increasingly sales — becoming de facto “chief market officers.”
• The execution gap: 49% of marketers haven’t started or implemented AI/GenAI, even as the C-suite’s growth and ROI expectations keep climbing.
• The budget squeeze: Marketing investment is growing, but its share of revenue is shrinking, so marketing is doing more with less.
• The trust risk: Failing to build AI transparency practices risks eroding the majority of a brand’s earned customer loyalty.

AR is evolving from a briefing function into a strategic intelligence capability — teams that don’t formalize measurement and cross-functional alignment are leaving influence on the table

• The credibility mandate — IDC’s own marketing taxonomy classifies AR as an awareness function, budgeted for reputation and validation, not demand generation.
• The trust bar is rising — Data governance and measurable outcomes are the top two things C-suite buyers value in a vendor, ahead of industry knowledge or ease of doing business.
• The GEO shift — Analyst-authored content is becoming an input to how AI systems cite and describe brands, expanding AR’s job beyond traditional briefings.
• The measurement gap — AR still lacks the kind of attribution model other marketing-adjacent functions are already expected to have.