The extreme difficulty of scaling production of new technology is not well understood. It's 1000% to 10,000% harder than making a few prototypes. The machine that makes the machine is vastly harder than the machine itself.

In technology, we need revolutionary change, not incremental change.

I have always believed that technology should do the hard work - discovery, organization, communication - so users can do what makes them happiest: living and loving, not messing with annoying computers! That means making our products work together seamlessly.

There's so much happening with the youth looking at local or national problems and solving them with innovation and technology. This is what startup success means.

We must develop open source systems that enhance trust and transparency. We must build quality data centres free from biases, we must democratise technology and create people centre applications. We must address concerns related to cyber security, disinformation and deepfakes. We must also ensure that technology is rooted in local ecosystems for it to be effective and useful. Loss of jobs is AI's most feared disruption, but history has shown that work does not disappear due to technology, only its nature changes. We need to invest in skilling and re-skilling our people for an AI-driven future.

We want to build technology that everybody loves using, and that affects everyone. We want to create beautiful, intuitive services and technologies that are so incredibly useful that people use them twice a day. Like they use a toothbrush. There aren't that many things people use twice a day.