Observed Signal · Jul 14, 2026 · Commentary · Source: The Drum · Impact: 2/5 · Sentiment: Positive
Kirti Naik: Speed Isn't Strategy, Judgment Matters
Kirti Naik, Neuberger’s global head of brand experience and juror on The Drum B2B Awards Industry jury, argues that while AI lowers the cost of marketing intelligence and execution, speed and scale do not replace human strategic judgment. She says AI can optimize existing work but humans must decide what to create. Naik emphasises the complementary relationship between brand and performance marketing, describes marketing as a perpetual learning loop, and urges organisations to treat marketing as an enterprise capability rather than a campaign function. For 2026 she recommends investing in client intelligence — the ability to connect first-party data, market signals, behavioural insights and human observation into a single decision-making engine. She also stresses that B2B buying is human and that marketing should be involved earlier in strategic decisions.
Strategic commentary from a senior brand leader highlights practical guidance on AI, first-party data and marketing organisational roles; relevant to marketers but not industry-shifting.
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Key Takeaways & Evidence Grounding
- Kirti Naik is Neuberger’s global head of brand experience.
- Naik has worked across Citibank, BNY Mellon, Russell Investments and Neuberger.
- She led Neuberger’s first global brand refresh in nearly nine decades.
- Naik serves as a juror on the Industry jury for The Drum B2B Awards.
- She recommends investing in 'client intelligence' in 2026: connecting first-party data, market signals, behavioural insights and human observation into a single decision-making engine.
Connected Companies & Entities
1 Entity mapped“Kirti Naik has spent her career turning complex financial businesses into brands people remember, working across Citibank, BNY Mellon, Russe...”
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Learning Speed: The New KPI for AI-era Marketing
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Hybrid CMOs Combine AI Speed with Human Judgment
This Adweek analysis by François Bazini and Laurent Florès argues that while frontier AI models can rapidly draft polished marketing plans, they often mislead by summarizing rather than synthesizing, favoring novelty, prioritizing superficially attractive ideas over economically relevant ones, and importing best-practice playbooks without necessary context. The authors recommend a "hybrid CMO" approach that combines AI's speed and analytics with experienced human judgment—what they call "scar tissue" from past failures. Their practical method: use AI to draft plans, then rigorously probe the model for its choices and assumptions, and apply a personal set of review questions derived from an executive's experience to improve and validate strategy.
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