The AI Gap: Why Some Companies Are All In & Others Are Indifferent

In this episode, the DAS crew discussed the AI adoption gap - why some companies are all in while others seem indifferent.

Key Points Discussed:

• Adoption follows a bell curve, with early adopters at one end and laggards at the other. Most are still at the very early stage.


• Resource constraints and perceived risks contribute to executive hesitation in some companies. But there are opportunities for individuals to skill up.


• Education is lacking around moving AI from experiments to reliable business solutions. Structured training is needed.


• AI is progressing rapidly. Solutions requiring long rollout times will become obsolete. An agile, iterative approach is necessary.


• Business leaders should encourage AI literacy, set an example, and run controlled pilots to build expertise.

Key Takeaways:

• For individuals: Continuously skill up on the latest AI capabilities.


• For companies: Assess where teams are at already. Encourage bottom-up education/sharing.


• Adoption requires motivation - identify clear business benefits to justify broader investment.


• Executives should aim for basic AI literacy to guide strategies. Expertise comes through practice.


• An agile, iterative approach will be needed as capabilities advance rapidly.