AI in the Digital Economy
中文标题
数字经济中的人工智能
Core conclusion · Tlines extraction
Citi's September 2026 survey finds nearly 60% of organizations remain in AI exploration or pilot phases, with only 40% in production or scaling. North America leads, with 77% in production or scaling. Among scaling firms, 60% report transformational value (15%+ impact). 90% expect AGI to materially impact within 10 years. AI is seen as augmenting rather than replacing workers, with task automation dominant but larger budgets shifting to autonomous agents.
- Institution
- Citi
- Published
- 09/14/2026
- Research topic
- Not explicitly stated
- Time horizon
- 2026 · 2035 · 2025
Key arguments
- Most organizations remain in AI exploration or pilot phases; only 40% have reached production or scaling.
- North America leads adoption, with 77% of firms in production or scaling.
- Among production/scaling organizations, 60% report transformational value creation (15%+ impact).
- Larger AI budgets shift from task automation toward advanced applications like autonomous agents.
Key numbers
- Organizations in exploration or pilot phase
- Nearly 60%
- North American firms in production or scaling
- 77%
- Production/scaling organizations reporting transformational value (15%+ impact)
- 60%
- Respondents expecting AGI material impact within 10 years
- 90%
Main risks
- Majority of organizations still in pilot phases may struggle to achieve production at scale.
- Reported transformational value is self-assessed and may not be independently verified.
- High expectations for AGI within 10 years may be optimistic and could lead to disappointment.
Corresponding source evidence
5 Organizations at the scaling stage are far more likely to work on investment horizons of less than 12 months.
7 Survey evidence and interviews suggest success will depend less on just access to AI models and more on proprietary data, and expertise.
1,2,3 Citi Research’s Heath Terry said in a recent note that enterprise AI adoption is driving elevated infrastructure intensity with global AI capex projected to scale from $1.0T in 2026 to $3.8T by 2030.
· 2026
Context: the conclusion is Tlines' automated extraction, not the institution's wording. Quoted evidence is publisher wording. Scope and date must travel with the conclusion.
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How this page was produced
Tlines extracted the conclusion, arguments, numbers and risks above from the report published by Citi on 09/14/2026, then structured them for comparison. The publisher's own wording is reachable through the source link on this page and is displayed in full above. Last updated 10/17/2026. Methodology · Source policy · AI usage · Request a correction