Buyers now use AI to arrive with a full research dossier on your product, pricing, and competitors. This changes the GTM role from persuading customers with clever messaging to enabling their decision-making. The new focus is helping buyers quickly experience your product's value on their own terms.

Unlike traditional SaaS sales where buyers are experts, AI customers are often new to the space and unsure of their needs. The sales process becomes more consultative, guiding them on best practices. However, deal cycles are much faster due to intense competitive pressure in the AI market.

Unlike normal sales cycles where only 5-6% of prospects are actively buying, an AI super cycle forces all enterprises to seek solutions concurrently. This creates an unprecedented, time-sensitive window to capture budget if your product is perceived as an essential AI need.

Despite the hype around enterprise AI, the vast majority of current inference workloads are driven by new, AI-native application companies. This indicates that the broader enterprise adoption market is still in its infancy, representing a massive future growth opportunity.

G2's research shows a dramatic acceleration in AI adoption for B2B purchasing. The percentage of buyers starting their journey with an LLM surged from 29% to 50% in just four months. This signals a fundamental, non-negotiable shift in buyer behavior that marketing strategies must immediately address.

With buyers completing nearly 80% of their research using tools like Generative AI before vendor contact, the linear funnel is dead. Traditional metrics like MQLs and SQLs are meaningless. Go-to-market strategies must be rewritten to influence buyers during their independent, non-linear discovery phase.

Buyers use AI to research, compare, and vet businesses before making contact. This means the first sales conversation is no longer for education but for closing. Sales teams must adapt to engage highly informed prospects who are much further down the buying journey.

The shift to AI creates an opening in every established software category (ERP, CRM, etc.). While incumbents are adding AI features, new AI-native startups have an advantage in winning over net-new, 'greenfield' customers who are choosing their first system of record.

To gauge AI's true impact on SaaS giants, ignore their slow-to-change enterprise customers. Instead, analyze the adoption patterns of new, small companies. If startups are skipping established SaaS platforms for AI tools, it signals a bottom-up disruption that will eventually reach the enterprise.