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Paul Welty, PhD AI, WORK, AND STAYING HUMAN

· business · found · innovation · management · strategy · technology

What can leaders do to implement AI in a way that enables people to do their best work, instead of substituting talent or compromising ethics? Read on for six strategies.

What can leaders do to implement AI in a way that enables people to do their best work, instead of substituting talent or compromising ethics? Read on for six strategies.

Empower your workforce with AI! Discover six strategies for leaders to enhance creativity, drive innovation, and promote ethical AI use in the workplace.

The insights in this article include:

1. AI can make work more enjoyable for employees and free them up for creative pursuits. 2. AI can provide real-time market insights for confident decision-making that can yield profits. 3. AI-driven predictive analytics can enhance the accuracy of predictions and provide timely and relevant insights for the retail industry. 4. Employees should remain in charge of collaborations and responsible for accuracy and quality when using AI. 5. Training for necessary tech skills and promoting a culture of lifelong learning can sustain an AI-powered workforce. 6. Establishing responsible AI governance is important, including setting internal standards, guarding against bias, and promoting fairness and transparency in AI decisions. 7. AI can be used by leaders to drive innovation in the workplace and improve efficiency. 8. Change management is crucial for effectively rolling out AI in organizations, including setting up centers of enablement, providing learning programs, and adopting an open innovation approach. 9. AI can be used in various industries, such as customer service, product design and development, and legal practices.

https://www.forbes.com/sites/rachelwells/2023/09/21/6-ways-leaders-are-using-ai-to-drive-innovation-in-the-workplace/

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.

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