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

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

Design Smarter: Future-Proof Your UX Career in the Age of AI

  • Artificial Intelligence, Empathy, Future of Work, UX Design

Learn why your UX career is safe from AI and which human skills will keep you relevant as things change in the industry.

Article by Pavel Bukengolts
IDEAS IN BRIEF
Design Smarter: Future-Proof Your UX Career in the Age of AI
  • The article reassures UX designers that AI won’t replace them; it will change their tools, but not their purpose.
  • The piece emphasizes that, unlike humans, AI is not able to understand people, think critically, or ask important ethical questions.
  • It concludes that UX isn’t disappearing and that humans will always be needed to design products for other humans.
Read Article →
Share
Share:Design Smarter: Future-Proof Your UX Career in the Age of AI
3 min read

Where Are Conversation Designers Now?

  • Artificial Intelligence, Conversational AI, Conversational Design, UX Design

Learn how we might plan a career in a field without a ladder.

Article by Diana N.
IDEAS IN BRIEF
Where Are Conversation Designers Now?
  • The article overviews careers in conversation design and shows that there’s no clear path forward in this field.
  • It identifies three waves of conversation designers: the early pioneers (1980s-2009), those hired during the boom years (2010-2019), and today’s designers facing layoffs and AI-driven changes (2020-now).
  • The piece represents data revealing that 84% of conversation designers who stayed in tech remained in design-related roles, contradicting the assumption that most would leave the field entirely.
Read Article →
Share
Share:Where Are Conversation Designers Now?
8 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