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AI Buyers Will Command $4.4T. Are You Ready?

Unpacking Cognizant’s 3-wave forecast, the 4 tactical plays, and turn Gen-AI search into your newest revenue engine.

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⏱️ Your Morning Brief (TL;DR)

Welcome back!

Advances in AI are driving what’s going inside your company, but what’s happening with your customers?

AI-driven buyers are starting to alter the traditional buying funnel and the foundational models like OpenAI are partnering with Shopify to meet users where their spending more and more time.

By 2030, AI-friendly shoppers will command $4.4 trillion of US consumer spend, 55 % of all purchases.

This week, we dive into Cognizant’s New Minds, New Markets on AI & CX.

Here’s what to expect in this weeks newsletter:

  • The three market waves through 2030

  • Four ways to prepare for AI-empowered customers

  • Why discoverable beats differentiated in Gen-AI search

  • 7 great reads on AI and commerce

Let’s dive in 🤖

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 💡 This Week’s Deep Dive

Why it matters

LLMs are becoming the front door for half your future customers.

Ignoring the trend puts you behind the discovery, purchase, and loyalty phases of buying to your competitors.

Where the buyer journey will start.

The Three Waves of Market Change

Cognizant paints the picture of a world where buying because automated. You’ll face three distinct waves: discovery, service, and autonomous buying. Each will demand a different operational playbook.

  1. Discovery Dominates (2025-27)– Accelerators push AI search; win by exposing rich product data and building brand agents.

  2. The Aftersales Arms Race (2027-29)– AI handles service & re-orders; invest in device telemetry and maintenance APIs.

  3. Automated Buying (2030+)– Full-cycle automation; pricing and supply chains must speak API-to-API, not email-to-email.

4 Strategic Priorities

  1. Strategy – Build trust in the Learn phase to earn permission to automate Buy. Don’t expect customers to jump to one-click purchases with you. Think of AI discovery as a way to connect with your buyers, with education-rich content, transparent policies, and zero-friction support.

  2. Technology – If ChatGPT can’t “see” your inventory, humans never will. LLMs crawl specs, not splash pages. Build machine-readable product catalogues.

  3. Design – Every AI flow must feel instant and effortless. Users will pay (or stay) for speed. Make the Ai shopping journey feel less like shopping and more like instant delivery. Value becomes quick checkout or same-day outcomes rather than discounts and promo codes.

  4. Operations & CX – Embed human hand-off for key moments. Despite the automation, human connection still wins. Route edge cases to a human service rep.

GPTLDR Takeaways

  • Prioritize AI visibility – Update product metadata frequently for LLMs like ChatGPT, Perplexity and others to surface your products.

  • API before pixels – Accessible data will be just as important as glossy landing pages. If your products aren’t machine readable, it doesn’t matter how it looks.

  • Hybrid CX – Let AI handle the majority of services use cases, but pair human experiences for complex cases.

  • Optimize for trust – find ways to optimize trust in the AI purchase journey.

📚 Interesting Reads

  • Retail: AI Overviews Reshape Top-of-Funnel Discovery (Link)

  • Microsoft: Building the Open Agentic Web (Link)

  • The State of Customer Journey Success (Link)

  • Agentic AI for Contact Centres (Link)

  • The great IT disconnect: Vendor visions of the future vs. IT’s task at hand (Link)

  • From disruption to reinvention: How knowledge workers can thrive after AI (Link)

  • Shopify x ChatGPT: What brands need to know (Link)

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 ➜ Until Next Week

The consumer landscape is going to look a lot different with AI-driven buying. The key in all of this is building trust with consumers through transparency and building towards discovery with LLMs. Nail that and you’ll be ready the next wave.

Stay curious,
The GPTLDR Team

P.S. - We just launched Monday Briefs, curated reads on AI’s impact to your people, operations, technology and strategy. Check out the past issue here.