B2B and B2C Companies Increase AI Investment as Agentic Commerce Gains Traction

Why It Matters

AI‑driven commerce promises faster revenue growth and cost reductions, reshaping how B2B and B2C firms compete in increasingly automated supply networks. Early adopters that overcome security, data and integration hurdles will capture a decisive market advantage.

Key Takeaways

• 95% of enterprises have deployed at least one AI tool.
• AI expected to drive >20% of orders by 2027.
• Nearly half plan $1M+ AI commerce spend this year.
• Security, data quality, integration are top adoption barriers.
• Multi‑LLM strategy avoids vendor lock‑in for AI systems.

Pulse Analysis

The rapid diffusion of AI across ecommerce platforms reflects a broader transition toward what analysts call "agentic commerce," where software agents not only recommend products but also negotiate prices and execute purchases. While consumer‑facing tools like chatbots and personalized search dominate initial rollouts, the data shows a growing emphasis on operational AI—pricing optimization, inventory balancing, and demand forecasting—indicating that firms view AI as a lever for both top‑line growth and supply‑chain resilience.

Investment momentum is equally striking. Almost half of the surveyed enterprises plan to allocate at least $1 million to AI initiatives within the next twelve months, and a notable segment is prepared to spend $5 million or more. Executives expect tangible returns quickly, with 45% forecasting ROI in under a year and 73% within two years. Yet, the path forward is not without friction; security and privacy concerns, data quality issues, and the complexity of integrating disparate commerce systems remain the primary obstacles to scaling AI solutions.

Strategically, companies are hedging against vendor lock‑in by adopting multi‑LLM architectures, leveraging OpenAI, Google Gemini, and Microsoft Copilot in tandem. This diversification supports more flexible, interoperable AI workflows that can adapt to evolving market demands. Forecasts suggest AI agents could influence up to $385 billion in commerce by 2030 and potentially account for a quarter of U.S. ecommerce sales. Firms that successfully embed AI into real‑time order networks and automate supplier interactions are poised to capture a disproportionate share of this emerging value, redefining the competitive landscape of digital commerce.