Blab AI
AI Factories Set to Drive Enterprise Adoption, Survey Projects 2028 Surge
In December 2025, a survey of enterprise technology leaders revealed a clear trajectory: the next few years will see a sharp uptick in the deployment of AI factories—structured ecosystems that transform experimental pilots into governed, scalable AI solutions.
The study canvassed firms across financial services, technology, media & telecommunications (TMT), energy, resources & industrials (ERI), life sciences & health care (LSHC), and consumer markets. Seventy percent of respondents reported plans to run more than 30 AI pilots, a volume that will strain existing infrastructure and governance frameworks. The growing demand for token‑based compute, coupled with unpredictable token costs, is prompting many to look toward AI factories as a way to bring order to the chaos.
According to the survey, an AI factory is a framework that aligns an organization’s AI infrastructure, data assets, and governance processes. It is engineered to manage token costs, latency, and data sovereignty while delivering measurable business value. The framework is branded as IndustryAdvantage™.
Token consumption is a key driver of the shift. The rate at which tokens are used is outpacing the decline in per‑token prices, creating a volatile cost curve that is hard to predict. The survey found that 59 percent of respondents see token optimization as a top priority and expect AI factories to improve it.
Industry adoption rates differ. In 2025, ERI leaders were already at 50 percent adoption and are projected to reach 82 percent by 2028. Financial services, at 24 percent in 2025, are expected to climb to 63 percent by 2028. Consumer, life sciences, and TMT markets are projected to approach 72 to 75 percent adoption by the same year.
Token consumption forecasts mirror these adoption trends. In TMT, the share of organizations that anticipate using more than 10 billion tokens per month is expected to rise from 29 percent today to 71 percent by 2028. Financial services will see a similar jump from 36 percent to 70 percent. ERI, by contrast, is projected to reach 54 percent of organizations consuming above 10 billion tokens in 2028.
Motivations for building AI factories vary by sector. TMT firms cite the need to keep insight generation in‑house and respond to competitive demands. Financial services and ERI prioritize regulatory compliance, while consumer and financial services organizations focus on GPU availability and operating costs.
When asked what outcomes they expect from AI factories, respondents across all five industries highlighted innovation capacity (71 percent), risk management (64 percent), and token optimization (59 percent). Innovation leads in every sector except financial services, where risk management and compliance are the preferred success metrics.
The survey suggests that the next two to three years will witness a transition from merely deploying AI to aligning infrastructure, governance, and talent with industry‑specific needs. Companies that achieve this alignment are positioned to convert rising AI demand into lasting IndustryAdvantage™.
In summary, the December 2025 survey projects a rapid increase in AI factory adoption across all major sectors, driven by growing pilot programs, escalating token consumption, and sector‑specific regulatory and operational pressures. The focus will be on building governed, scalable AI capabilities that deliver measurable innovation, risk mitigation, and cost control.
The study canvassed firms across financial services, technology, media & telecommunications (TMT), energy, resources & industrials (ERI), life sciences & health care (LSHC), and consumer markets. Seventy percent of respondents reported plans to run more than 30 AI pilots, a volume that will strain existing infrastructure and governance frameworks. The growing demand for token‑based compute, coupled with unpredictable token costs, is prompting many to look toward AI factories as a way to bring order to the chaos.
According to the survey, an AI factory is a framework that aligns an organization’s AI infrastructure, data assets, and governance processes. It is engineered to manage token costs, latency, and data sovereignty while delivering measurable business value. The framework is branded as IndustryAdvantage™.
Token consumption is a key driver of the shift. The rate at which tokens are used is outpacing the decline in per‑token prices, creating a volatile cost curve that is hard to predict. The survey found that 59 percent of respondents see token optimization as a top priority and expect AI factories to improve it.
Industry adoption rates differ. In 2025, ERI leaders were already at 50 percent adoption and are projected to reach 82 percent by 2028. Financial services, at 24 percent in 2025, are expected to climb to 63 percent by 2028. Consumer, life sciences, and TMT markets are projected to approach 72 to 75 percent adoption by the same year.
Token consumption forecasts mirror these adoption trends. In TMT, the share of organizations that anticipate using more than 10 billion tokens per month is expected to rise from 29 percent today to 71 percent by 2028. Financial services will see a similar jump from 36 percent to 70 percent. ERI, by contrast, is projected to reach 54 percent of organizations consuming above 10 billion tokens in 2028.
Motivations for building AI factories vary by sector. TMT firms cite the need to keep insight generation in‑house and respond to competitive demands. Financial services and ERI prioritize regulatory compliance, while consumer and financial services organizations focus on GPU availability and operating costs.
When asked what outcomes they expect from AI factories, respondents across all five industries highlighted innovation capacity (71 percent), risk management (64 percent), and token optimization (59 percent). Innovation leads in every sector except financial services, where risk management and compliance are the preferred success metrics.
The survey suggests that the next two to three years will witness a transition from merely deploying AI to aligning infrastructure, governance, and talent with industry‑specific needs. Companies that achieve this alignment are positioned to convert rising AI demand into lasting IndustryAdvantage™.
In summary, the December 2025 survey projects a rapid increase in AI factory adoption across all major sectors, driven by growing pilot programs, escalating token consumption, and sector‑specific regulatory and operational pressures. The focus will be on building governed, scalable AI capabilities that deliver measurable innovation, risk mitigation, and cost control.
