We’re spending 28x more training machines than training humans.
I was curious and that’s what I found when I did deep research using AI. What I uncovered explains why many AI initiatives are falling short.
$309B invested in AI technology globally
$11B invested in human AI training
Only 4% of corporate training budgets go to AI skills
76% of workers say they need AI skills to remain competitive
Despite massive AI investments, we’re not seeing expected productivity gains.
According to Gartner research, only 34% of teams using generative AI tools achieve high-productivity gains vs. 37% with traditional AI teams (using machine learning, predictive analytics, etc.)
The problem isn’t that AI is bad. We’re creating a dangerous gap between tool capability and human capability.
We’re entering the “messy middle.” Job postings require AI experience few people have. College graduates enter the workforce without any AI training. Companies mandate AI use without training. Teams get powerful tools with “figure it out” instructions.
The companies that close this gap now will have a better shot at winning. Research shows that investing 10-15 cents in human development for every dollar spent on AI technology unlocks $4.4 trillion in annual productivity gains.
That’s just productivity. Imagine improvement in quality and innovating new ways of working on top of that.
We need to treat workforce readiness as infrastructure, not an afterthought. Create space for learning. Show people how AI supports their role. Show them how roles can evolve as they spend more time doing strategic work, guiding and collaborating with AI, and breaking down functional silos.
The most expensive AI deployment is one that people can’t use effectively.
What are you seeing in your organization? Are we preparing people as fast as we’re deploying technology? Are we leading with grace and compassion?
See link in the comments for Gemini Pro 2.5’s deep research report on this topic.
Report on investment in training machines vs humans in AI (based on Gemini Pro 2.5’s deep research): https://drive.google.com/file/d/1INXx4PMDOnSulBFAVty3nLEPWn0rQhEx/view?usp=sharing