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The State of Conversational Commerce in 2026

Trend #4

Table of contents
IntroductionKey 2026 TrendsTrend #1Trend #2Trend #3-> Trend #4Trend #5PredictionsWhat the experts are sayingHow ecommerce brands will win in 2026Research Methodology

AI is making CX teams more technical

Since the first iterations of CX and ecommerce automation, the narrative has been that AI is going to replace human teams. However, the data tells a different story.

‍

Companies are actively hiring AI-related roles

With any new technology, human oversight is a key part of the evaluation, implementation, onboarding, training, and optimization process. The trend continues with the widespread adoption of conversational commerce tools. Rather than taking jobs away, AI is creating a new role: “AI Coaches”.

Hiring
71%
of brands are likely to hire new employees dedicated to AI-related ecommerce functions within the next 12 months.
54%
of brands have already created new roles as a result of AI.

Successful ecommerce brands treat AI agents like a new hire. As AI capabilities expand, brands need people who can train, monitor, and optimize these systems. The new skillset required has led to new specialized roles that offer development opportunities for existing employees or new external hires.

Headcount is expected to increase, not decrease

When asked about staffing expectations over the next 12 months, the vast majority of brands anticipate either maintaining or increasing team size:

Expected headcount changes over the next 12 months:
Increase significantly
Increase somewhat
Stay the same
Decrease somewhat
Decrease significantly
21%
41%
28%
9%
1%

62% of brands expect to grow their teams in the coming year. Only 10% anticipate any reduction, and just 1% expect significant cuts. This directly contradicts the "AI will replace your team" narrative and instead points to a future where human expertise becomes more specialized and valuable. AI isn't making CX teams redundant. Instead, it empowers them to scale impact without proportionally scaling costs. Teams can handle more volume, engage earlier in the customer journey, and focus human attention on the interactions that genuinely require empathy, judgment, and creative problem-solving.

The lines are blurring between support and sales

The traditional division between customer support and sales is dissolving. In the past, CX and ecommerce teams have operated in silos with separate tools, goals, and customer touchpoints. Conversational commerce is converging those functions into one customer-centric operation. With AI agents and virtual shopping assistants, a customer can ask a shipping policy question, receive a product bundle recommendation, and a smart discount to close the sale in a matter of minutes.

When asked how AI has changed the relationship between support and sales:
77%
of companies report at least some convergence between support and sales functions

Some brands expect changes in success metrics and team goals as well. 33% anticipate that support roles will have sales targets within the next two years, and nearly half believe it to be a possibility. Conversational commerce is equipping CX agents with the tools, data, and bandwidth they need to upsell, cross-sell, and proactively guide purchase decisions.

Before AI

CX team:

  • handles support tickets,
  • measures resolution time,
  • CSAT, and one-touch ticket rate

Ecommerce team:

  • drives purchases,
  • measures revenue,
  • AOV,
  • conversion rates
With AI

Hybrid teams:

  • AI handles routine tasks,
  • humans focus on high-value conversations

Shared team goals:

  • CSAT,
  • AOV,
  • conversion rate,
  • revenue per conversation

Customers feel the disconnect if two teams work separately. In order to create a seamless purchase journey, ecommerce, marketing, and CX teams must all work together. Smart ecommerce brands are aligning their team structures to meet these expectations.

SuitShop, a retail suit brand, uses Gorgias to connect its online and in-store teams into one unified support system. By pairing AI automation with human expertise, the brand generated $175K in showroom-driven revenue and saw a 7% higher in-store conversion rate without expanding 
its team.

AI handled routine questions about sizing, shipping, and order status, freeing showroom representatives to focus on personalized style consultations, event coordination, and local tailor recommendations that build confidence and drive sales.
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