AI costs are set to jump as subsidies end: HBR
MASSACHUSETTS, UNITED STATES — Major enterprise software vendors are absorbing the cost of graphics processing units (GPUs), inference computing, and token consumption to drive artificial intelligence (AI) adoption, but the era of vendor-subsidized AI pricing is ending, according to an analysis by Stacia Garr published in Harvard Business Review (HBR) in August 2026.
Vendor AI subsidies masking a coming cost shock
Stacia Garr, co-founder and principal analyst at RedThread Research, writing for Harvard Business Review, said “organizations are effectively being paid to adopt AI” as major software vendors absorb the actual cost of GPUs, inference computing, and token consumption to accelerate enterprise uptake.
Garr notes that vendors describe premium AI agent features as “unmetered,” “complimentary,” or “included,” creating a false sense of budgetary and operational security for executive buyers who assume current AI pricing reflects true infrastructure costs.
Enterprise organizations are building AI workflows around pricing that does not reflect the underlying infrastructure cost, setting up a budget shock when vendor subsidies end.
AI budgets require a workforce planning rethink
Garr wrote that “as organizations replace fixed labor costs with variable AI consumption costs, leaders must stop treating AI as a software purchase and instead view it as an organizational design challenge requiring new approaches to budgeting, workforce planning, and risk management.”
The shift from fixed labor to variable AI consumption exposes organizations to usage-based billing that scales nonlinearly, particularly for companies deploying AI agents that run multi-step tasks autonomously and consume far more tokens than simple query tools.
Garr identifies workforce planning as the primary redesign target, arguing that organizations treating AI as a software budget line item will lack the headcount models or risk frameworks needed when consumption-based pricing takes effect.
The transition affects any organization that built AI workflows during the current adoption phase, when vendor investment in AI infrastructure was passed to customers as an implicit subsidy rather than a variable operating cost.
Organizations that structured AI adoption around subsidized pricing face a cost structure rethink when usage-based billing replaces vendor-absorbed infrastructure expenses.
The cost shift Garr identifies from fixed labor to variable AI consumption is structurally familiar to offshore outsourcing operators, whose managed-service pricing converts variable workforce costs into predictable fixed contracts.
Business process outsourcing (BPO) operators that bundle AI tooling into delivery rates can absorb token and inference cost variability internally, giving clients the cost predictability Garr identifies as absent from direct enterprise AI deployments.
Leading BPO operators with mature AI-integrated service pricing are positioned as the more cost-certain alternative for organizations navigating the end of vendor AI subsidies.
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Disclosure: Outsource Accelerator uses AI tools in the backend of its editorial workflow. Every article is reviewed and verified by a human editor before publication.
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