Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Become a member

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› Artificial Intelligence ›› 5 Unintelligent AI Strategies to Ditch Immediately

Member-only story

5 Unintelligent AI Strategies to Ditch Immediately

by Robb Wilson
4 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

This AiThority Guest post is co-authored by OneReach.ai‘s Director of Creative Content Josh Tyson.

The allure of new technology is often proportional to the amount of work it requires for organizations to properly implement it. This is especially true for the many technologies associated with AI. For enterprises, the goal should be to restructure their operations around these powerful tools to create an organizational artificial general intelligence (AGI) that benefits employees and customers alike. Augmenting your team with nimble intelligent digital workers (IDWs) that understand your operations unearths massive opportunities.

Unfortunately, there are some popular anti-strategies setting companies back in a quest that’s plenty difficult to begin with. Learn to recognize the common (but often overlooked) Unintelligent AI Strategies and then steer clear with all your might.

Become a member to read the whole content.

Become a member
post authorRobb Wilson

Robb Wilson

Robb Wilson is the CEO and co-founder of OneReach.ai, a leading conversational AI platform powering over 1 billion conversations per year. He also co-authored The Wall Street Journal bestselling business book, Age of Invisible Machines. An experience design pioneer with over 20 years of experience working with artificial intelligence, Robb lives with his family in Berkeley, Calif.

Tweet
Share
Post
Share
Email
Print
Ideas In Brief
  • The article dissects common but counterproductive AI strategies, urging businesses to navigate the AI landscape strategically for sustained relevance and success.

Related Articles

Zero Stage to Orbit

  • Agile, Artificial Intelligence, Design Systems, Future of Work, Innovation, Product Design, Software Development, UX Design

Learn why the design-to-development pipeline is the launchpad your team inherited but never questioned.

Article by Erika Flowers
IDEAS IN BRIEF
Zero Stage to Orbit
  • The article argues that the entire design-to-development pipeline is a multi-stage rocket — a system built around workarounds, not solutions.
  • It makes the case that AI agents don’t just improve the handoff problem; they eliminate the need for handoffs.
  • The piece challenges readers to ask not how to optimize their process, but why they’re still using it.
Read Article →
Share
Share:Zero Stage to Orbit
14 min read

Your Design System Works in Figma. Does It Work in Code?

  • Artificial Intelligence, Design Systems, Figma, Product Design, UX Design

Learn how to build systems where design explicitly models development, handoff is automatic, and AI can extend your work reliably.

Article by Jim Gulsen
IDEAS IN BRIEF
Your Design System Works in Figma. Does It Work in Code?
  • The article explains why many design systems don’t work well: designs made in Figma don’t translate well into code.
  • It introduces five practices: structure frames like code, use fewer components with more variants, organize by how both designers and developers actually work, let AI check your naming, and build documentation into your daily workflow.
  • The piece says that good design systems are the same in design and development, and when they match, everything just works.
Read Article →
Share
Share:Your Design System Works in Figma. Does It Work in Code?
6 min read

Stop Building Streetlamp Models: The Decision-First Framework for AI Products

  • Artificial Intelligence, Product Management, User-Centered AI, UX Design, UX for AI

Find out how to stop building where the data is bright and start building where the problem actually is.

Article by Núria Badia Comas
IDEAS IN BRIEF
Stop Building Streetlamp Models: The Decision-First Framework for AI Products
  • The article reveals that most AI projects fail because teams focus on what’s possible instead of what users actually need.
  • It introduces the AI-Question Framework, asking three key questions: Does it matter? Do you have the data? Can you handle the mistakes?
  • The piece concludes that successful AI products start with the right question, not with what the AI can do.
Read Article →
Share
Share:Stop Building Streetlamp Models: The Decision-First Framework for AI Products
5 min read
✕

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

✕

Get Paid to Test AI Products

Earn an average of $100 per test by reviewing AI-first product experiences and sharing your feedback.

    Tell us about you. Enroll in the course.

      ✕

      This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and

      Accept policy