What Companies Get Dangerously Wrong About AI Skills
A deep dive into the massive disconnect between what executives demand and what employees can realistically deliver.
Before we start, you might think these notes are the end of the line, but they are actually just the starting point. If you find value in these reflections, you are likely missing out on the deeper, more specialized layers connected with this ecosystem built to improve you:
You Visible: For the professional who has the expertise but lacks the presence. This newsletter is designed to help you stop being a best-kept secret inside your company and start being a recognized voice for the world.
Project Management Compass: If you are tired of the “accidental” way projects are managed and want a structured roadmap for leadership and execution, this is where we get the best of Project Management and its world.
There is this heavy, almost unspoken expectation hanging over us in the corporate world... the idea that every single professional must be entirely ready to work with AI. We are constantly told that everyone needs to learn AI somehow, and if you open LinkedIn or scroll through any news feed, you will see it absolutely everywhere.
It is exhausting, right?
Courses are multiplying, certifications are spreading like wildfire, and suddenly overnight gurus are popping up to teach you how to prompt your way to a six-figure salary.
I always use the exact same comparison when I see this kind of frantic market behavior because I have lived through it before. It feels exactly like the moment Agile became wildly popular in the software industry.
When Agile hit the mainstream, people started desperately looking for courses and chasing certifications just to stay relevant. The entire market started to grow rapidly around this single topic, and a whole new economy was born.
Vendors started selling basic certifications as magic bullets.
Consultants started selling quick-fix courses for complex problems.
Agencies started selling new frameworks that promised to fix broken cultures.
Firms started selling expensive consultancy hours to help companies implement things they barely understood.
Now, with AI, the landscape is not any different... it is just moving much faster.
The core problem is that we are seeing a massive wave of knowledge gaps being announced by companies. Organizations are desperate to catch up, and they are frantically trying to fill this perceived gap with all those rapid-fire courses and newly minted certifications.
But it genuinely seems we are not asking the right questions. When it comes to what you should actually focus on right now to protect your career, or what companies are truly expecting from you when they are hiring, we are looking in the wrong direction entirely.
The Shocking Truth About Our Massive Productivity Gains
A comprehensive study from Foxit recently brought forward a number that is absolutely critical to this entire discussion.
They found that 89 percent of executives confidently state that AI increases productivity. This makes sense on the surface, as we all naturally want to believe we are moving faster and doing more with less effort.
So the researchers went deeper. They tried to understand what this incredible increase in productivity actually looked like in the real world, measuring that impact in actual hours saved by working professionals.
The final number was exactly 16 minutes per week.
It is staggering when you really think about it. This data was published by Business Wire, and the research with those executives highlighted a very specific, painful bottleneck.
This tiny gain of only 16 minutes exists because people are spending an enormous amount of time validating the work the machine produces. We have to prove that the result generated by AI is actually good, verify that the facts are valid, and make endless small corrections to the tone and formatting.
Behavioral scientists often refer to something called the Automation Paradox. The idea is that when we introduce automated systems to make our lives easier, it actually creates new and unexpected cognitive loads for the humans who now have to monitor those systems.
The gap between how fast the tool can generate a result and the time you need to validate that same result is massive. This constant need for human verification is exactly why we are not seeing a massive leap in true productivity. Sixteen minutes per week is the reality of the average worker right now.
Of course, it would be quite naive to think this is not going to improve over time. It will likely improve very fast because people are slowly gaining more trust in AI results. We are actively learning what we need to validate, where we need to double-check facts, and where we can start trusting the output a bit more.
Eventually, we will have more reliable mechanisms to automate that kind of verification. It will follow the exact same path we saw when manual testing was eventually automated in software development over time. But right now, we are stuck in the messy, exhausting middle.
The Crushing Weight Of AI Fluency
While we are wrestling with this 16-minute reality, the expectations from the market are accelerating at a terrifying pace.
Research from McKinsey shows that at the exact same time we are seeing this desperate call to increase productivity, there is a massive surge in demand for something they call AI fluency.
AI fluency is basically your ability to use these new tools naturally without friction. It is the capacity to write code using AI, analyze data with an LLM, or seamlessly implement these technologies into your daily workflows.
According to the data, the demand for this specific fluency has grown seven times in just the last two years.
It is growing incredibly fast, and so many different skills are being required almost overnight. The scary part is that, according to the study, we still do not have the right way to accurately measure this fluency.
You simply cannot measure a person’s ability to adapt to AI based only on a piece of paper. Certifications, diplomas, or the title of your college degree do not tell the whole story anymore.
Things are evolving so rapidly that companies are being forced to put much more value on the actual skills you possess. They care deeply about the real experiences you have had wrestling with these technologies in the trenches.
Because of this rapid shift, traditional certifications and degrees are dropping to a secondary level of importance. Companies are actively looking for your real-world experience, wanting to see what you can prove you actually built or solved.
The problem is that this wild transition is creating a massive amount of anxiety for ordinary people who just want to do a good job.
Welcome To The Era Of AI Brain Fry
We are pushing ourselves to the absolute limit trying to keep up with these invisible expectations.
A joint study from Harvard Business Review and the Boston Consulting Group looked closely at this phenomenon. They studied 1,500 different workers to understand the human psychological cost of this technological rush.
The results were deeply concerning. For those professionals who are actively using three or more AI tools to try and increase their productivity, they are simultaneously increasing their cognitive fatigue.
They are literally burning out their minds trying to be efficient.
Harvard is officially calling this specific condition AI Brain Fry. The brains of dedicated professionals are being fried by this frantic rush to learn AI.
When you look at the whole picture, it is quite obvious why this is happening.
People are rushing to understand what is changing in their industry. They are rushing to test new platforms, constantly context-switching between different tools to see what works.
There is simply not enough time to properly validate things. There is no time to step back and measure what is actually delivering sustainable business results versus what is just temporary industry hype.
If you are exhausted by the pressure to automate your entire job by Friday, you are absolutely not alone. The data proves that the smartest people in the room are frying their brains trying to keep up with an impossible standard.
The Death Of The Traditional Job Title
The final piece of data for this reflection comes from LinkedIn.
Their report on skills on the rise clearly shows that employers are heavily prioritizing raw skills over traditional degrees and job titles. This brings us right back to the point McKinsey raised about the critical nature of AI fluency.
Having a specific degree or a prestigious job title is no longer the ultimate safety net it used to be. Showing that you can actually execute and adapt is becoming far more important than the historical achievements you can prove with a printed certificate.
But this entire situation brings me to a very uncomfortable reflection... one we really need to talk about.
If people are completely frying their brains trying to learn AI, and companies are simultaneously expecting people to somehow just know it, we have a massive disconnect.
Who is saying that the companies themselves actually know what they are doing with AI?
How can organizations properly measure the candidates they are hiring if the leadership itself is still trying to figure out the basics? How are they going to accurately measure true AI fluency?
That is my biggest question right now.
If a candidate sits in an interview and says they can code using AI, what does that actually mean in practice? It means they can produce a massive amount of lines of code very quickly, and they can certainly build something.
But who is guaranteeing that they are building something with actual quality? Who is proving that this person can deliver sustainable, secure, and scalable results across all the different knowledge areas required?
From a leadership and a hiring perspective, this is one of my deepest concerns right now. We are building a hiring structure based on a technological foundation that no one fully understands yet.
The Room Where The Certificate Does Not Matter
From a pure career perspective, I have always believed in a very specific truth. I write about this constantly because I see it every single day.
Knowing how to do something is infinitely more important than simply proving that you took a class on it.
Let me give you a very personal example from my own career journey. Over the past 15 years, I have built my career managing large IT strategy portfolios, leading global distributed teams, and working on complex transformations from Brazil to my current role at Polestar here in Sweden.
Over that time, I have accumulated several certifications in project management. Those certifications are undeniably important from a CV perspective because they help you get filtered correctly by human resources. They get you in the door and secure the interview.
But they are completely irrelevant when reality hits.
If I arrive in a meeting room and my team is facing a massive, heated conflict, those letters next to my name do not matter at all. The certification will not save the project.
If I do not know which psychological techniques to use to diffuse that specific conflict, the certificate is useless.
If I face a sudden, massive problem with the project scope, I need to rely entirely on my raw negotiation skills to keep things moving.
If there is a severe executive escalation, I have to know how to manage difficult stakeholders in real time based on empathy and strategy.
That specific moment of crisis is when actual project management skills become bulletproof. It is not about the badge you wear. The certifications are important as a baseline filter to measure capacity, but the raw skill is what actually delivers the business value.
The exact same logic applies perfectly to AI fluency today. Your actual ability to navigate these tools under pressure is much more important than holding a brand new AI certificate.
The Blind Leading The Blind
But I keep coming back to my primary concern as we navigate this transition. How are companies actually going to measure this in the real world?
When I look at the Foxit research saying that AI only gives us 16 minutes of real productivity, I get quite concerned. When I connect that tiny number with the Harvard data showing that people are literally frying their brains just trying to learn these tools, the picture looks incredibly messy.
Why do companies assume they are more prepared than the exhausted people trying to learn the tools?
Who inside these traditional organizations is truly qualified to measure advanced AI skills over traditional degrees?
I know I am repeating myself here, but please bear with me on this because it is absolutely vital to understand. How can we honestly expect the people sitting in hiring positions to be perfectly prepared right now?
How do they know what specific AI applications will actually generate tangible results for their company? How do they know what is most important from an ability perspective when the entire business world is blindly rushing into this hype at the exact same time?
The employees are rushing to learn it, and the businesses are rushing to demand it... but nobody has stopped to define what “it” actually is.
The Path Forward For Real Talent
I want to reinforce my core belief here as we wrap up this chat.
I fully agree that having the actual skills, the mental flexibility, and the hands-on preparation are much more important than the certificates themselves.
I have managed brilliant people on my teams who work with highly complex technologies without a single formal document to prove they are good at what they do.
They are just the absolute best at doing it.
They have deep, unshakeable experience. They prove their worth through the chaotic projects they navigate. They prove it by actually building things, solving complex architectural problems, and delivering undeniable results when the pressure is high.
We are living in a moment of massive transition, and I think there is still a tremendous amount to be discussed here. This reflection must remain completely open for the companies trying to adapt and the people working desperately to master these new technologies.
We have to figure out how you, as a dedicated professional, can clearly prove the immense value of the knowledge you are building right now. And we have to figure out how you, as a manager representing your company, can actually identify the true talents who possess the real abilities around AI fluency.
The certificates will not save us. The shiny new job titles will not save us. Only your adaptability, your resilience, and your real work will.
So the question I leave you with is this... how are you proving your real value in a world obsessed with new digital badges?
Thank you for reading! ⭐️
If you find value in these reflections, you are likely missing out on the deeper, more specialized layers connected with this ecosystem built to improve you:
You Visible: For the professional who has the expertise but lacks the presence. This newsletter is designed to help you stop being a best-kept secret inside your company and start being a recognized voice for the world.
Project Management Compass: If you are tired of the “accidental” way projects are managed and want a structured roadmap for leadership and execution, this is where we get the best of Project Management and its world.