Capital Flow / Sector Deep-dive

Cushman & Wakefield Forecasts AI Could Lift U.S. Industrial, Office, and Retail Property Demand by About 12% Over the Next Decade

Based on a baseline scenario, Cushman & Wakefield projects that AI will increase demand for U.S. industrial, office, and retail space by about 12% over the next 10 years, or roughly 330 million square feet. The core conclusion is confirmed by three sources, which also indicate the forecast is built on a multi-scenario framework and that the office market is likely to become more polarized, with demand favoring high-quality, adaptable space. Details on AI adoption timing, exact outcomes under different scenarios, and differentiated impacts across property types were not fully disclosed in the provided sources.

TSO brief

  • Based on a baseline scenario, Cushman & Wakefield projects that AI will increase demand for U.S. industrial, office, and retail space by about 12% over the next 10 years, or roughly 330 million square feet. The core conclusion is confirmed by three sources, which also indicate the forecast is built on a multi-scenario framework and that the office market is likely to become more polarized, with demand favoring high-quality, adaptable space. Details on AI adoption timing, exact outcomes under different scenarios, and differentiated impacts across property types were not fully disclosed in the provided sources.
  • Capital Flow · Sector Deep-dive
  • May 12, 2026
TSO noteEach article is checked against independent reporting. The original source links are listed with the analysis so readers can inspect the evidence directly.

Source transparency

Original reporting sources

  1. News | AI expected to boost demand for US industrial, office, retail space by 12% in next decade - CoStarwww.costar.com

Top Three-Source View and TSO Verification Conclusion

  • Source 1 confirms that Cushman & Wakefield, under a baseline scenario, forecasts AI will raise demand for U.S. industrial, office, and retail space by about 12% over the next decade, equivalent to roughly 330 million square feet. The report also sets out four scenarios.

  • Source 2 confirms that the forecast also stresses AI’s economic impact remains “highly uncertain,” that it is still unclear how companies and industries will use AI, and that beyond data center investment, AI will also create spillover effects for other commercial property types.

  • Source 3 confirms that in the office market, AI will accelerate an already underway divergence, with demand shifting toward high-quality, adaptable space; it also provides a comparative description of U.S. office delivery volumes.

  • TSO verification conclusion: The three sources are highly aligned on the core forecast, all pointing to AI lifting demand for U.S. industrial, office, and retail property by about 12%, or 330 million square feet. The differences mainly lie in the angle of presentation, covering the forecast framework, macro uncertainty, and office market structure changes respectively.

Facts Confirmed by All Sources

  1. Cushman & Wakefield released a forecast on AI’s impact on U.S. commercial property demand.

  2. Under the baseline scenario, AI is expected to increase demand for U.S. industrial, office, and retail space by about 12% over the next decade.

  3. This increase corresponds to roughly 330 million square feet.

  4. The report uses a multi-scenario analysis approach rather than a single forecast.

  5. The office market is expected to become more segmented, with greater emphasis on high-quality, adaptable space.

Main Differences or Points of Variation

  1. Scenario setup details:

    • Source 1 explicitly mentions four scenarios: gradual AI adoption, rapid AI adoption, AI adoption below expectations, and AI displacement.

    • Sources 2 and 3 do not list the full four scenarios.

  2. Forecast methodology details:

    • Source 1 notes that the report measures total net absorption from 2025 to 2035 and compares pre- and post-AI perspectives.

    • Sources 2 and 3 do not provide this methodological detail.

  3. Quantitative office market backdrop:

    • Source 3 says new U.S. office deliveries in the next few years will be about 5 million square feet annually, compared with 50 million square feet per year in the past.

    • This data appears only in Source 3 and is not mentioned by the other sources.

  4. Overall assessment of AI’s impact:

    • Source 2 emphasizes that AI’s economic impact remains “highly uncertain” and that spillover effects beyond data centers are only beginning to emerge.

    • Sources 1 and 3 do not use the same wording.

Background and Analysis
Based on the provided sources, Cushman & Wakefield’s core view is that AI will not only affect data center demand, but will also drive demand for industrial, office, and retail properties through corporate expansion, space planning, and office location decisions.

  • Across the three categories of industrial, office, and retail space, the sources consistently confirm a total demand increase of about 12%.

  • In the office segment, Source 3 shows a more pronounced structural feature: AI is not simply boosting all office demand, but is further differentiating the market, with demand concentrating in high-quality, adaptable space.

  • Source 2 cautions that this judgment is based on the premise that AI’s impact remains uncertain, meaning the current forecast is better understood as a scenario exercise rather than a certainty.

  • The provided sources do not include full details on 2025–2035 net absorption, the exact values under different AI adoption scenarios, or the differences across property types in each scenario, so these cannot be fully confirmed from the available material.

Summary of the Three Sources

  • Source 1: Provides the main forecast and four-scenario framework, emphasizing the 2025–2035 net absorption measure.

  • Source 2: Highlights the uncertainty of AI’s economic impact and notes that AI will spill over into other commercial property types.

  • Source 3: Focuses on the office market, saying AI will accelerate divergence, favoring high-quality, adaptable space, and provides context on office supply delivery timing.

Conclusion
Taken together, the three sources confirm the core point: Cushman & Wakefield expects that, under the baseline scenario, AI will raise demand for U.S. industrial, office, and retail space by about 12% over the next decade, or roughly 330 million square feet. Beyond that, the sources do not provide a complete, consistent set of data on outcomes under different scenarios, net absorption breakdowns, or more detailed market impacts; those items should therefore be treated as “not mentioned in the sources” or “cannot be confirmed from the provided sources.”

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