Eighty-eight percent of senior executives plan to increase AI-related budgets in the next 12 months, with agentic AI serving as the primary catalyst for this expansion, according to a PwC survey of 300 business leaders. The finding signals that enterprise AI investment is moving from experimental allocation to strategic priority.
The data, analyzed by OneReach AI, represents one of the strongest signals yet that autonomous AI agents have crossed from hype into boardroom budget decisions.
What's Driving the Spending
Agentic AI — systems that can autonomously plan, execute, and adapt multi-step workflows — has matured significantly since early 2025. Executives are now seeing concrete ROI from pilot deployments, justifying expanded investment.
According to NVIDIA's 2026 State of AI Report, 88% of enterprises are seeing revenue gains from AI implementations. The convergence of revenue impact and agentic capabilities is creating a powerful investment case.
Key spending drivers include:
Operational efficiency gains. Companies deploying AI agents for back-office operations report 30-50% reductions in processing time and significant error rate improvements.
Competitive pressure. As early adopters demonstrate AI-powered efficiency, lagging companies face pressure from boards and investors to accelerate their own AI roadmaps.
Talent economics. With precision hiring and specialized talent commanding premium rates, AI agents offer a scalable alternative for routine work that doesn't require human judgment.
Customer experience expectations. Consumers and business clients increasingly expect instant, 24/7 service that only AI-powered systems can deliver cost-effectively at scale.
Adoption by the Numbers
Multiple analyst firms are tracking the acceleration of enterprise AI agent adoption.
Gartner predicts that 40% of enterprise applications will include task-specific AI agents by the end of 2026, up from less than 5% in 2025. This 8x increase in a single year is unprecedented in enterprise software adoption.
Deloitte projects that 50% of enterprises using generative AI will deploy autonomous AI agents by 2027, doubling from 25% in 2025.
A Joget analysis of analyst data indicates that 79% of organizations already use AI agents to some degree, though most deployments are still limited in scope.
Where the Money Is Going
Enterprise AI budgets are not evenly distributed. The largest investment categories include:
Customer operations. Contact centers, customer success, and support functions account for the largest share of agentic AI spending, as companies automate Tier 1 support and route complex issues to human agents.
Sales and marketing. AI agents for lead qualification, content generation, and campaign optimization are seeing rapid adoption, particularly among B2B companies with complex sales cycles.
Finance and accounting. Invoice processing, expense management, and financial reporting automation are priority areas for CFOs looking to reduce close times and improve accuracy.
IT operations. Internal help desks, infrastructure monitoring, and security operations are deploying AI agents to handle routine tickets and alert triage.
HR and recruiting. AI agents are managing candidate screening, interview scheduling, and onboarding workflows, handling up to 80% of transactional recruitment activities.
Industry Vertical Breakdown
Financial services leads in agentic AI adoption, driven by high-volume transaction processing, fraud detection, and regulatory reporting requirements. Healthcare follows, with AI agents automating medical billing, coding, and patient communication.
Technology companies are both builders and heavy users of AI agents, deploying them across engineering, support, and internal operations. Retail and e-commerce companies use AI agents for inventory management, customer service, and marketing.
Manufacturing has emerged as a growth category, with 47% global smart manufacturing adoption driving demand for AI agents that optimize production workflows and supply chain operations.
The ROI Question
Despite strong adoption signals, ROI measurement remains a challenge. Many organizations struggle to quantify the full impact of AI agent deployments because benefits are distributed across multiple functions and time horizons.
Early adopters report the clearest ROI in operational cost reduction and processing speed improvements. Strategic benefits — better decision-making, faster market response, improved customer retention — are harder to measure but increasingly recognized as the primary value driver.
What This Means for Virtual Assistant Businesses
The 88% budget increase signal has direct implications for the virtual assistant industry.
Demand for AI-literate VAs will surge. As companies deploy AI agents across operations, they need human team members who can manage, monitor, and complement these systems. Virtual assistants who understand AI tools will be in high demand.
Hybrid service models win. The most competitive virtual assistant providers in 2026 will offer AI-augmented services — combining human executive assistants with AI agents for routine task handling. This delivers the cost efficiency clients expect with the human judgment they require.
Small business opportunity grows. As AI agent platforms become more accessible, virtual assistant providers can offer AI-powered services to small businesses that couldn't previously afford enterprise-grade operations support. This expands the addressable market significantly.
Sources: OneReach AI / PwC Data, NVIDIA State of AI Report, Gartner, Joget