Insights · March 8th, 2026
Every organization and motivation executive is racing to integrate AI to boost productivity and efficiency. But a new study from Anthropic suggests that if we aren’t careful, we might be trading our team’s long-term expertise for short-term speed as we lean into ‘vibe-coding’ at-scale which is shown can create complacency.
Here is what every executive needs to know about the hidden costs of AI assistance.
Technical mastery is falling – The study found that developers using AI scored 17% lower on technical mastery tests compared to those who worked manually. When AI does the heavy lifting, your team tends to stop building the mental models required to solve complex problems and you may end up with a workforce that can generate results but cannot necessarily fix them when AI tools make a mistake.
Speed-to-solution is often an illusion – we assume AI makes everyone 10x faster. However, the study showed that the time saved writing code was often lost to AI overhead—the time spent writing prompts, correcting AI hallucinations, and reading through generated code and text.
We must consider that productivity isn’t just about output volume; it’s about the quality of oversight. If your team spends all their time babysitting an AI, they aren’t actually innovating – they’re teaching the LLM to be better in the long run, and maybe for others – including your competition.
Graduated learning could atrophy – Historically we bring in junior employees to learn and gain practical experience on their way to becoming senior members of the teams we form. They learn by doing the basic work – data, repetitive structural work etc. This productive struggle is how they learned the nuances of their craft and this is still essential for the longevity of a companies capability (assuming that we are not heading to a point where ‘AI will do everything to the top level of achievement; spoiler – we’re not getting there likely ever due to the complexity of our world).
If AI automates all entry-level tasks, how will your next generation of leaders learn? We risk creating a seniority gap where no one internally has the deep expertise to audit the AI’s work.
Strategic Action Items for leadership
To capture the benefits of AI without hollowing out your company’s expertise, consider these three shifts:
- Promote active over passive AI Use: Encourage teams to use AI as a tutor (asking “why did you do this?”) rather than a ghostwriter (asking “just do this for me”).
- Re-Evaluate Training: Traditional on-the-job learning is dying. Companies must now create intentional spaces where employees are forbidden from using AI so they can master foundational skills.
- Hire for validation more than execution: The most valuable skill in 2026 isn’t the ability to do the work – it’s the ability to critique and verify the work the AI produces.
The goal is a ‘centaur’ model: humans and AI working together, where the human remains the expert pilot, not just a passenger.
Read ‘How AI assistance impacts the formation of coding skills’ by Anthropic – read here
Also, take a look at ‘The CEO’s guide to AI: The Case for Superhuman Adaptable Intelligence (SAI)’
About Nikolas Badminton
Nikolas Badminton is the Chief Futurist & Hope Engineer at futurist.com. He’s a world-renowned futurist keynote speaker, consultant, author, media producer, and executive advisor that has spoken to, and worked with, over 500 of the world’s most impactful organizations and governments.
Nikolas is an artificial intelligence expert and his 2026 keynote ‘The AI Leader: Create Incredible Productivity, Profit & Growth’ is the level up for the modern CEO and executive leader.
Please contact futurist speaker and consultant Nikolas Badminton to discuss your engagement.
