Use It or Else Is Not an AI Implementation Strategy

Use It or Else Is Not an AI Implementation Strategy

Andy Marken August 6, 2026

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Source - Hitchhikers Guide to the Universe, Touchstone Pictures

In the beginning the universe was created. This made a lot of people angry and has widely been considered as a bad move. - Hitchhikers Guide to the Universe, Touchstone Pictures, 2005.

Okay, let's cut to the chase:

Yes, we use AI - sparingly

Your boss (probably) doesn't know squat about what AI is and probably has difficulty spelling it

Your boss wants everyone using AI because it means automation of tasks which generally means he/she can cut jobs

Yes, we use it for all of our Insider research. We search the internet a bunch of times, phrasing the subject dozens of different ways and then comparing the various data to sanity check what we write. phrasing the subject dozens of different ways and then comparing the various data to sanity check what we write.

And we use it - a lot - when we sit down in the evening to watch something with no particular show/movie in mind, which is most of the time.

No, we don't use it to write an Insider. Whether good/bad, all our thoughts, ideas, writing is ours and most of the time, we're happy with the streaming recommendations.

That's about it yep, that's it!

That's why the most immediate and widespread use of AI is in the technology industry; and even then, folks are dragging their feet. As Millennials growing up in the heart of the great technology shift, they focused on becoming an expert in his/her field and computers, software, smartphones were the tools they knew enough about to do their job that's it.

Source - CB Insights

Jensen Huang, president/CEO of Nvidia, whose chips are leading the charge in AI, reported during an all-hands meeting that the company had another record quarter on top of a series of record quarters.

They should, because they also have their fingers in almost every AI company there is and it's making them a multi-trillion-dollar company.

Yet, he had to admonish his team because some folks are dragging their feet in using AI everywhere.

Of course, he's not alone in pushing his team to use AI.

Google CEO Sundar Pichai and Microsoft's Satya Nadella have said they want their version of the transformative technology to be used everywhere but

Source - RatiinalFX

He may have meant that when he said it, but spending money to retrain people for other jobs isn't the first thing 90 percent of bosses think of when they roll out AI in their organizations.

Salesforce cut 4,000 positions, Accenture cut 11,000 folks, Amazon eliminated 14,000 jobs, Klanara shrunk their workforce 40 percent and the list goes on and on.

Source - BET Pictures

We're going to give Huang the benefit of the doubt and believe that he really means it, but he's in the minority.

It's called stinkin' thinkin' and the reason why last year's the MIT NANDA report - The GenAI Divide: State of AI in Business 2025 should be read by bosses at every level before they dive into the deep end of AI because most don't have a clue.

The study showed that 95 percent of the pilot projects showed zero, nada, zip measurable returns while an S&P Global Market Intelligence survey found that 42 of the companies had abandoned most of their AI projects.

Source - Winklix

It's easy - and almost logical - to see how company shareholders and management and maybe even you can be so enthralled with AI's potential - increased efficiency, improved quality, increased competitiveness, answer skills shortages and new business revenue.

What's not to like?

A lot of folks like to equate it with how computers changed the way people work, relax and live, but it's different.When computers were introduced, they were big, cumbersome things that only a few folks knew how to operate.

Source - Computer History Museum

The first ENIAC (Electronic Numerical Integrator and Computer) was introduced into the US about 100 years ago and normal folks didn't interact and work with it.

In fact, the first team to work on it were women programmers.

It took a while for guys to figure it out.

There were years of trials, tribulations, setbacks and steps forward before it became ubiquitous in our lives.

Source - Futurepedia

Yes, AI was formally introduced 70 years ago, but it languished in labs for years doing specific tasks like playing chess until folks started working on and promoting the idea of artificial general intelligence.

ChatGTP - one of the most recognized AI brands with products in a bunch of flavors - is three, maybe five, years old. Other than being hyped as a super assistant, what it can do really well is carry out some well-planned, rehearsed demos folks like to brag about.

Each new exciting version - and most similar LLM products - was rushed to release to meet some artificial deadline, like a quarterly report, not really half tested to know what it does or how it does it, doesn't really understand the physical/thinking world but is great at delivering hallucinations.

That's probably why McKinsey found that two-thirds of companies are still in the pilot stage, and few (1-20) firms see any measurable contribution to earnings.

In fact, a Stanford study found 37 percent of Americans used GenAI tools at work, down from 46 percent three months earlier and the Federal Reserve Bank found 12.1 percent of working adults were using GenAI down from 12.6 percent the year before.

O.K., if you're in a programming company, you sorta know management wants you to use it in your job but each of the above CEOs are betting their company's future and theirs on using AI throughout their respective organization. All of those users were in tech companies - Nvidia, Google, Microsoft, Meta, etc. - where they had gentle su

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