Jim Amos

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As leaders, we need a balanced view of the AI industry if we’re going to make properly informed and rational decisions about the future of our companies and workforce. AI literacy and awareness can only come from listening to expert and critical voices. This list is offered as a starting point for an antidote to the hype and disinformation perpetuated by influencers who don’t care about the truth. Inject some authenticity and critical thinking into your feed and become a better leader in the AI era.

100 Authentic AI voices to follow on LinkedIn

Navigate through the hype and become a better leader in the AI era.

Human-first CTO. 20 years in tech.

Human-first CTO. 20+ years in software engineering and management

AI Reality Check for Leaders

UK Country Manager

Senior ERP and Technology Manager

Executive Advisor

The Motley Fool

In 2015, Nike launched robotic automation efforts to reduce operating expenses. But manufacturing robots only perform predictable, repeatable processes at scale, whereas Nike’s product range is so diverse it requires extreme flexibility. Total costs far exceeded their human workforce and Nike were forced to backtrack. This wasn’t the first or last time they’d lose $billions to overconfidence in technology. In 2022, Starbucks spent $200 million on an AI machine-learning platform that replaced many baristas and removed brand-defining customer experience flourishes. This resulted in 6 straight quarters of declining sales and a $30 billion valuation loss. Ever since, Starbucks have been desperately reinvesting in human staff and trying to revive their customer community.Every day brings new corporate announcements about AI, but it’s not easy to parse signals from noise, or reality from hype. The stakes are high, and so are the chances you’ll be led astray by fear of missing out, or bad management advice. My goal is to present an alternative to the current AI mania so you can avoid the billion dollar mistakes of the past and become a conscientious, reality-based leader in 2026.

The missing critical AI course leaders (and aspiring leaders) need in 2026.

 

Gain a more comprehensive view of the AI ecosystem.

See behind the curtain of AI.

Understand the dark patterns that make chatbots so addictive.

Separate AI marketing hype from reality.

Develop realistic expectations about the future of work.

Deconstruct AI FOMO and explore strategies to avoid it.

Business leaders, executives, decision-makers, managers, and aspiring leaders with an open mind and a desire to think critically about AI.

Professionals who want to make rational, reality-based decisions about if, why, how, and when to implement AI.

This course is not a deep dive into the technology of LLMs, or prompt engineering. But it does include some AI literacy for the layperson.

10 Things You Need To Know Before Going “AI-First.”

CTO, Human Intelligence™ Institute

Learn from the strategies of other leaders in communicating about AI adoption.

What does "AI-First" really mean?

Let's think critically about what you're trying to achieve.

Will AI transform my company?

Does AI make my workforce more productive?

Learn how to counteract the fear of missing out.

How can we stay focused on what matters?

We'll discuss what's driving this strategy and whether it's right for your company or not.

Is going "AI-First" a choice, or a necessity?

Lousy Robot! A Reality Check On AI Agents

20+ years experience as a human-first technology leader, coach, and writer.

When hype meets reality, AI washing and bad advice comes to light.

Matthew McConaughey is still lost in Heathrow

Most AI agents are not what you think, or what you’ve been sold.

Is that an AI Agent or a vacuum cleaner dressed as one?

Are agents here to replace human workers or augment them? Are they even qualified?

Learn directly from Jim Amos

Jim Amos

About Jim

Courses

AI Reality Check for Leaders

Lightning Lessons

10 Things You Need To Know Before Going “AI-First.”

Lousy Robot! A Reality Check On AI Agents

Resources

100 Authentic AI voices to follow on LinkedIn