Many owners know AI matters but do not know which workflows are safe to automate. That creates a consulting lane around intake, customer service, marketing, sales follow-up, and reporting. Eric Kuvykin examines how AI is changing web developers,...
Many owners know AI matters but do not know which workflows are safe to automate. That creates a consulting lane around intake, customer service, marketing, sales follow-up, and reporting.
For SMBs and SMEs, the practical question is not whether artificial intelligence can produce a website. It can produce drafts, copy, layouts, code suggestions, campaign ideas, and support scripts. The harder question is whether the digital system actually creates leads, reduces labor, protects the business, and connects to operations.
What changed for agencies
Since January 2023, AI has made the low end of web production faster and more crowded. Owners can now compare a custom quote against AI-assisted builders, template marketplaces, freelance platforms, and internal staff using generative tools. That changes buyer psychology even when the AI output still needs professional review.
Where the damage shows up
- Basic brochure sites become harder to price as premium custom work.
- Generic blog content and landing pages lose differentiation.
- Clients expect faster prototypes and clearer measurement.
- Maintenance retainers need proof beyond updates and hosting.
- Junior implementation work faces pressure from AI-assisted production.
Where agencies can pivot
Audit workflows, create AI use policies, build approved prompt libraries, and implement human-reviewed automations.
The durable agency offer is likely to look less like a website package and more like managed digital infrastructure: search visibility, reviews, forms, CRM, payments, automation, data hygiene, content governance, compliance, cybersecurity, analytics, and conversion improvement.
Practical takeaway
AI is hurting agencies that sell deliverables customers now perceive as easy to generate. It is helping agencies that can turn AI into a controlled business system with strategy, integrations, risk management, and measurable outcomes.
Relevant source links
- McKinsey: The state of AI in early 2024
- NIST AI Risk Management Framework
- U.S. Chamber: AI and small business
