Worldwide spending on generative AI is projected to reach $297 billion in 2026, yet the biggest day to day limiter may be less about compute and more about who can reliably interact with systems through the “surrogate” layer. With 15.1% of US adults reporting mobility related limitations that affect everyday activities in 2022, the data quickly shifts from capability to access. Add in $72.5 billion forecast global RPA spend by 2025 and 36% of adults globally reporting seeing deepfakes in the last year in 2024, and you get a tension worth sorting out.
Key Takeaways
- 15.1% of adults aged 18+ in the US reported limitations in activities due to difficulty with mobility in 2022 (a measurable constraint that can drive assisted workflows)
- 3,147,000 jobs in the US are supported by computer systems design and related services (a labor base relevant to implementing surrogate-driven systems)
- In 2023, 18.9% of US employed persons worked in computer and mathematical occupations (a skilled labor signal for deploying AI and surrogate systems)
- $4.4 billion global assistive technology devices market forecast by 2028 (expected growth in a segment adjacent to surrogate-assisted experiences)
- Worldwide spending on generative AI is projected to total $297 billion in 2026 (growth trajectory enabling surrogate capabilities)
- 66.2% of the global population were mobile internet users in 2023 (connectivity enabling surrogate digital delivery)
- 63% of consumers are willing to share data with companies if it improves personalization (enabling surrogate systems that tailor outputs)
- 83% of online adults in the US use smartphone internet (device penetration enabling mobile surrogate experiences)
- 57% of respondents reported using AI tools at work at least once per week (2024 survey), supporting adoption potential for AI-assisted “surrogate” agents
- The NIST AI RMF 1.0 documents 4 risk management activities under the Govern function (useful measurable governance granularity)
- Broken access control was ranked as the #1 risk in OWASP Top 10 2021 (directly relevant to secure surrogate/API operations)
- 10.8% of global email traffic was spam in 2023 (Cisco/Threat Intelligence; year-specific measurement), highlighting the volume of synthetic/automated content that surrogate systems must classify
Surrogate ready adoption is rising fast as data, AI, mobile access, and security demand grow globally.
Industry Trends
115.1% of adults aged 18+ in the US reported limitations in activities due to difficulty with mobility in 2022 (a measurable constraint that can drive assisted workflows)[1]
Verified
23,147,000 jobs in the US are supported by computer systems design and related services (a labor base relevant to implementing surrogate-driven systems)[2]
Verified
3In 2023, 18.9% of US employed persons worked in computer and mathematical occupations (a skilled labor signal for deploying AI and surrogate systems)[3]
Verified
490% of executives expect data to be an important driver of competitive advantage by 2025 (context for data-driven surrogate tools)[4]
Directional
536% of adults globally reported seeing deepfakes in the last year in 2024 (demand context for surrogate-related verification tools)[5]
Single source
61 in 3 Americans (33%) say they use at least one online banking or digital finance tool (context for customer-facing surrogate automation in financial services)[6]
Single source
7In 2023, the global ICT sector accounted for 5.5% of global GDP (infrastructure base for AI and surrogate operations)[7]
Verified
8The EU AI Act includes transparency obligations for certain AI systems intended to interact with humans (relevant to surrogate conversational experiences)[8]
Verified
9The US FTC has brought enforcement actions related to AI and automated decision-making resulting in financial penalties totaling hundreds of millions of dollars since 2015 (regulatory enforcement signal for surrogate-like claims)[9]
Directional
1043% of organizations report using microservices (2023 survey), which increases the number of service-to-service interactions that surrogate agents may orchestrate[10]
Verified
Industry Trends Interpretation
The clearest Industry Trends signal is that data driven automation is accelerating fast, with 90% of executives expecting data to drive competitive advantage by 2025 while 43% of organizations already use microservices, creating the perfect environment for surrogate solutions to orchestrate increasingly complex, service-to-service workflows.
Market Size
1$4.4 billion global assistive technology devices market forecast by 2028 (expected growth in a segment adjacent to surrogate-assisted experiences)[11]
Directional
2Worldwide spending on generative AI is projected to total $297 billion in 2026 (growth trajectory enabling surrogate capabilities)[12]
Verified
366.2% of the global population were mobile internet users in 2023 (connectivity enabling surrogate digital delivery)[13]
Single source
4Global public cloud end-user spending reached $679 billion in 2024 (forecast update), indicating spending growth tailwinds for automated AI infrastructure[14]
Verified
5Global generative AI market is forecast to reach $407.3 billion by 2027 (forecast), showing adjacent growth for surrogate-capable AI solutions[15]
Verified
6$72.5 billion global spend on RPA is forecast by 2025 (forecast), relevant to surrogate workflows that automate business processes[16]
Directional
7Global contact center software market is projected to reach $23.3 billion by 2028 (forecast), relevant to customer-facing surrogate automation[17]
Verified
8Worldwide spending on identity verification services is projected to reach $62.8 billion by 2027 (forecast), supporting verification for surrogate-driven identity and authenticity workflows[18]
Verified
9Global cybersecurity market size is projected to reach $345.4 billion by 2026 (forecast), providing spending context for security controls around surrogate systems[19]
Verified
Market Size Interpretation
The market-size outlook for Surrogate is set to expand rapidly as adjacent AI and automation demand surges, with the global generative AI market forecast to reach $407.3 billion by 2027 and generative AI spending projected to total $297 billion in 2026.
User Adoption
163% of consumers are willing to share data with companies if it improves personalization (enabling surrogate systems that tailor outputs)[20]
Single source
283% of online adults in the US use smartphone internet (device penetration enabling mobile surrogate experiences)[21]
Directional
357% of respondents reported using AI tools at work at least once per week (2024 survey), supporting adoption potential for AI-assisted “surrogate” agents[22]
Verified
456% of survey respondents believe their organizations will use generative AI in the future for customer service and support (2024 survey), relevant for surrogate-like customer interaction automation[23]
Verified
531% of developers report adopting AI-assisted coding tools in the last 12 months (2024 developer survey), indicating ecosystem-level readiness for “surrogate” programming productivity[24]
Verified
User Adoption Interpretation
User Adoption is poised to accelerate fast because 56% of respondents expect their organizations to use generative AI for customer service support, with strong underlying momentum like 83% of US online adults using smartphone internet and 57% using AI tools weekly at work.
Performance Metrics
1The NIST AI RMF 1.0 documents 4 risk management activities under the Govern function (useful measurable governance granularity)[25]
Single source
2Broken access control was ranked as the #1 risk in OWASP Top 10 2021 (directly relevant to secure surrogate/API operations)[26]
Verified
Performance Metrics Interpretation
Performance metrics for Surrogate point to a clear governance and security priority, with NIST AI RMF 1.0 specifying 4 Govern function risk management activities and OWASP Top 10 2021 ranking broken access control as the number 1 risk, emphasizing that measurable governance controls should directly track and mitigate this top access threat.
Security & Risk
110.8% of global email traffic was spam in 2023 (Cisco/Threat Intelligence; year-specific measurement), highlighting the volume of synthetic/automated content that surrogate systems must classify[27]
Directional
Security & Risk Interpretation
With 10.8% of global email traffic classified as spam in 2023, security and risk teams supporting Surrogate must be ready to detect and manage a steady stream of automated synthetic content that can quickly raise threat exposure.
How We Rate Confidence
Models
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Single source
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Directional
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
Verified
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Models
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Catherine Wu. (2026, February 13). Surrogate Statistics. Gitnux. https://gitnux.org/surrogate-statistics
MLA
Catherine Wu. "Surrogate Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/surrogate-statistics.
Chicago
Catherine Wu. 2026. "Surrogate Statistics." Gitnux. https://gitnux.org/surrogate-statistics.
References
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- 17mordorintelligence.com/industry-reports/contact-center-software-market
- 18verifiedmarketresearch.com/product/identity-verification-market/
- 19fortunebusinessinsights.com/cybersecurity-market-102739
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- 22ibm.com/blog/artificial-intelligence-ai-at-work-2024-survey/
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- 24survey.stackoverflow.co/2024/
- 25nist.gov/itl/ai-risk-management-framework
- 26owasp.org/Top10/
- 27cisco.com/c/en/us/products/security/email-security.html