Hands-on skills training is the solution to the global skills shortage.
Combat the global skills shortage with hands-on training, empowering workers to thrive in digital transformation and future job markets.
Business leaders are struggling to fill digital transformation roles due to a global shortage of 85 million workers, which could cost the global economy $8.5 trillion in unrealized annual revenues. Traditional learning and development methods are not sufficient to bridge the skills gap, but hands-on learning can help. It enables learners to gain real-world experience in a safe space, boosts memory recall, and provides the opportunity to build skills for unknown roles. Upskilling with hands-on learning is the key to taking advantage of the opportunities created by automation and AI in the future of work.
Original article: Weve been getting job training all wrong
The agent-shaped org chart
Every real org has the same topology: principal, role-holder, specialists. Staff AI maps onto it, node for node, and the cost collapse shows up in the deliverables that were always just human-handoff overhead.
AI as staff, not software
Two frames for what AI is doing to work. The tool frame makes tools smarter. The staff frame makes roles unnecessary. Those aren't the same product, the same company, or the same industry.
Knowledge work was never work
Knowledge work was always coordination between humans who couldn't share state directly. The artifacts were never the work. They were the overhead — and AI just made the overhead optional.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
The file I almost made twice
A small operational footgun that runs everywhere — building a parallel system when the one you have is fine.
The actor doesn't get to be the verifier
The worker isn't lying. The worker is reporting what it thought it did, which is always one step removed from what the world actually shows. The fix isn't more self-honesty. The fix is a different pair of eyes.
Shopping is the last mile
Every meal planning app treats cooking as the hard problem and shopping as a logistics detail. They have it backwards. Cooking is mostly solved. Shopping is the last mile.
Jasper is a useful tool for developing employee training.
Transform employee training with Jasper by aligning programs to business goals, engaging diverse learning styles, and using innovative methods for success.
The IMF warns about AI’s impact on inequality
IMF warns AI could deepen global inequality, urging policymakers to implement safety nets and retraining programs to protect vulnerable workers.
It’s going to take a century for artifical intelligence to be able to perform most human jobs. But there are going to be some key developments during the next decade.
Explore how AI will transform jobs in the next decade, from enhancing security to automating coding, reshaping the future of work.