Hands-on skills training is the solution to the global skills shortage.
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
Featured writing
When your brilliant idea meets organizational reality: a survival guide
Transform your brilliant tech ideas into reality by navigating organizational challenges and overcoming hidden resistance with this essential survival guide.
Server-Side Dashboard Architecture: Why Moving Data Fetching Off the Browser Changes Everything
How choosing server-side rendering solved security, CORS, and credential management problems I didn't know I had.
AI as Coach: Transforming Professional and Continuing Education
Transform professional and continuing education with AI-driven coaching, offering personalized support, accountability, and skill mastery at scale.
Books
The Work of Being (in progress)
A book on AI, judgment, and staying human at work.
The Practice of Work (in progress)
Practical essays on how work actually gets done.
Recent writing
Start, ship, close, sum up: rituals that make work resolve
Most knowledge work never finishes. It just stops. The start, ship, close, and sum-up methodology creates deliberate moments that turn continuous work into resolved units.
Notes and related thinking
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.