Jamie Dimon, CEO of JPMorgan Chase, has a lot to say on the topic of artificial intelligence (AI). And every time the banking giant makes a public statement or sits down for an interview – as he did with Bloomberg Television at the Techstars Conference* – he has the potential to influence thousands of business leaders around the world.

How does his vision of AI hold up?

From a strategic perspective, Dimon touches on many valid points about the larger impact of technology, both in AI and beyond. Still, there are other areas where his commentary could be more comprehensive on current AI trends, and where his insights could benefit those who use the technology every day.

Below are four things Dimon gets right about AI, and four things he leaves out.

What Jamie Dimon is right about AI

1. The role of AI in improving productivity

Dimon rightly points out that AI, like revolutionary technologies of the past, is having a transformative impact on productivity and growth. He further recognizes that AI can improve many jobs by acting as a “super assistant” to a wide range of professionals, rather than simply replacing jobs.

His view that AI will enhance employees’ capabilities by automating routine tasks and improving decision-making processes is common among most CEOs and C-suite leaders.

2. Creating jobs versus eliminating them

Dimon’s call to reskill and redeploy workforces resonates with the current debate on reskilling and upskilling the workforce for new opportunities created by AI.

This proactive approach would achieve AI literacy within the workforce and reflects the best practices that both SMBs and large corporations should look to implement.

3. Globalization of technology hubs

Dimon’s mention of the creation of technology centers outside the US, especially in Europe, underlines a very real decentralization of technological innovation. There is a growing need for innovative ecosystems beyond California’s Silicon Valley, Boston’s Route 128, and Austin’s Silicon Hills, if AI is to continue its expansion into a global phenomenon.

Emerging hubs – London, Berlin, Paris and Amsterdam – have the opportunity to secure their place in the future of AI innovation and technology in general.

4. Public Market Challenges for Technology Startups

Dimon also makes valid points about IPOs and the interaction between private and public capital markets. There are a number of structural issues around regulation, costs and liquidity that could prevent AI startups from going public, and will impact startups’ timing and ability to raise capital around the world.

What Jamie Dimon leaves out

1. Current and future impact of AI on specific industries

When Dimon discusses job categories and general trends, he hardly mentions industry-specific developments.

Healthcare, logistics, legal technology and finance continue to be disrupted and transformed by the accelerating development of AI applications, while entirely new business models are born from the opportunities presented by AI. Predictive analytics in healthcare and AI-driven logistics in the transportation sector are just two examples from an ever-growing pool.

2. Ethics and responsible AI