The Interest Graph is software for connecting us to our interests. Today, it makes us better shoppers. Tomorrow, it could change the nature of work.

Artificial intelligence is changing humanity’s relationship to knowledge with profound implications for the future of the human experience.

A new, artificially intelligent design is emerging from the depths of machine learning, and as it does, Nature finds a new medium for expression.

Automated service platforms don’t just lead to large-scale unemployment in the services economy; they also redefine the nature of work.

Automated self-service is Silicon Valley’s trick for automating the service economy and for fueling machine learning and the knowledge economy.

Stanford Social Innovation Review article on mission-driven artificial intelligence aimed at solving societal and ecological challenges.

YES! Magazine article on technological unemployment, who ‘owns the robots’ — and “platform cooperatives.

A merger between humans and machines is coming, and it’s not what you might think.

It’s easy to argue about fairness – because our society operates with two very different definitions of the word.

Technology plays two critical roles in the distribution of wealth, cutting jobs and income from below, while concentrating profits for investors from above.

Regenerative business creates strategies designed around stakeholders and social impact – and they are the future of business.

The disastrous Google+ shutdown vividly demonstrates the risks of trusting our creations and relationships to big corporations.

Technology ecology focuses on technology’s relationships with other technologies, with people, with organizations and with the planet.

A (relatively) simple explanation of machine learning.

Engagement is what enables organizations to coordinate external contributions of work and intelligence. It’s also the future of the human-machine relationship.

How the stock market extracts value from corporations and fuels the concentration of wealth.