Span Global Services Launches AI Buyer Intelligence Database to Help B2B Teams Identify Active Investors

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Los Angeles, CA - April 16, 2026 - Span Global Services today announced the launch of its AI Buyer Intelligence Database, a verified intelligence asset designed to help B2B sales and marketing teams identify companies actively investing in artificial intelligence.

Global AI spending is projected to reach $2.5 trillion in 2026, yet most go-to-market teams still rely on contact databases that cannot distinguish between companies exploring AI and those making real investments. Span Global Services aims to close that gap by enabling direct access to decision-makers driving AI procurement across industries.

Why Traditional Data Can't Keep Up with the AI Market

The scale of AI investment is expanding rapidly. Hyperscalers alone are expected to invest nearly $700 billion in AI-related capital expenditure, fueling demand across cloud infrastructure, data centers, semiconductors, and enterprise platforms.

However, most B2B teams lack visibility into where this spending is actually happening.

Traditional databases provide firmographic data such as company size or industry, but they rarely capture real indicators of AI adoption. Signals like GPU deployments, machine learning hiring, and AI infrastructure usage remain largely invisible.

"Go-to-market teams are targeting a fast-moving AI economy using static data," said Gary L. Dass, Executive Vice President at Span Global Services. "The decision-makers controlling AI budgets today are often not visible in conventional systems. We built this to change that."

Data Built Around Real AI Investment Signals

The AI Buyer Intelligence Database identifies organizations based on actual AI activity rather than assumed intent.

It provides verified access to decision-makers across roles, including CIOs, CTOs, heads of data, AI leaders, and infrastructure owners. Companies are segmented by their stage of AI adoption, from early experimentation to large-scale deployment.

The platform also captures technographic signals across widely used AI environments, enabling teams to prioritize accounts already investing in AI infrastructure.

Rather than focusing only on high-profile adopters, Span Global Services has structured the database to reflect the broader AI ecosystem, including mid-market and enterprise organizations building AI capabilities, as well as companies supporting the underlying infrastructure.

Bridging the Gap Between AI Ambition and Execution

Despite strong investment intent, AI maturity remains uneven.

Research indicates that while 42% of organizations believe their AI strategies are well prepared, only 25% have scaled AI into production. Additionally, just 7% of enterprises consider their data fully ready for AI deployment.

This gap is driving new waves of spending across infrastructure, talent, and data systems, while also changing how organizations evaluate vendors.

"The gap between AI ambition and execution is creating a new class of buyer," Dass added. "These organizations move fast, invest aggressively, and require a different level of targeting precision. Our database is built to identify them based on what they are actually doing."

The Right Intent with Quality AI Buyer Data

Span Global Services validates its database through a hybrid model combining AI-driven data collection with human verification.

The company maintains a network of over 800 verification specialists, with a 45-day refresh cycle that includes automated validation processes and large-scale phone-based verification.

This approach ensures that B2B teams are working with current, actionable intelligence in a market that evolves rapidly.

Availability

The time is now! AI Buyer Intelligence Database is ready to improve your targeting, accelerate pipeline generation, and align outreach with real-time AI investment signals.

About Span Global Services

Span Global Services is a marketing intelligence company specializing in B2B data solutions [https://www.spanglobalservices.com/b2b-email-list], including contact databases, data enrichment, and custom list building. Founded in 2010, the company supports global go-to-market teams with access to over 90 million multi-verified contacts across 189+ countries, powered by a hybrid model of AI-driven data collection and human validation.

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