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So the killer tool for this new paradigm of productivity will not be an app or a smart device. It will be deep within the confines of your own mind — in your ability to take seemingly disparate elements: untapped desires, cultural trends, and unrecognized problems—and combine them for explosive ideas.

For people who like an orderly, predictable world, this is the scariest thing about Facebook; not that it may be full of lies (a problem that could potentially be fixed), but that its scope gives it real power to change history in bold, unpredictable ways.

One is the ubiquity of Facebook, which has reached a truly epic scale. Last month the company reported that about 1.8 billion people now log on to the service every month. Because social networks feed off the various permutations of interactions among people, they become strikingly more powerful as they grow. With about a quarter of the world’s population now on Facebook, the possibilities are staggering.

Thanks to the internet, now each person with once-maligned views can see that he’s not alone. And when these people find one another, they can do things — create memes, publications and entire online worlds that bolster their worldview, and then break into the mainstream.

Why has business education failed business? Why has it fallen so much in love with finance and the ideas it espouses? It’s a problem with deep roots, which have been spreading for decades. It encompasses issues like the rise of neoliberal economic views as a challenge to the postwar threat of socialism. It’s about an academic inferiority complex that propelled business educators to try to emulate hard sciences like physics rather than take lessons from biology or the humanities. It dovetails with the growth of computing power that enabled complex financial modeling. The bottom line, though, is that far from empowering business, MBA education has fostered the sort of short-term, balance-sheet-oriented thinking that is threatening the economic competitiveness of the country as a whole. If you wonder why most businesses still think of shareholders as their main priority or treat skilled labor as a cost rather than an asset—or why 80 percent of CEOs surveyed in one study said they’d pass up making an investment that would fuel a decade’s worth of innovation if it meant they’d miss a quarter of earnings results— it’s because that’s exactly what they are being educated to do.

In short, the pontiff said, apologizing for his bluntness: We tend too readily to eat shit — and in a nutshell, he’s right. We have a natural tendency to readily swallow bullshit. We always have and always will. It’s an inherent facet of human cognition

Lots of high-minded technological thinkers, particularly Elon Musk, have proposed a universal basic income, a form of wealth distribution that ensures every citizen receives a baseline income whether or not they are employed, as a likely solution to the problem of workforce automation. But the White House report takes a more somber approach, describing a basic income as “giving up on the possibility of workers’ remaining employed.” Instead, the report suggests a number of policy proposals (like Obama’s national free community college initiative, and expanded unemployment benefits) as ways of actively facilitating the transition into a more AI driven economy.

Artificial intelligence (AI) has the potential to help tackle some of the world’s most challenging social problems. To analyze potential applications for social good, we compiled a library of about 160 AI social-impact use cases. They suggest that existing capabilities could contribute to tackling cases across all 17 of the UN’s sustainable-development goals, potentially helping hundreds of millions of people in both advanced and emerging countries. Real-life examples of AI are already being applied in about one-third of these use cases, albeit in relatively small tests. They range from diagnosing cancer to helping blind people navigate their surroundings, identifying victims of online sexual exploitation, and aiding disaster-relief efforts (such as the flooding that followed Hurricane Harvey in 2017). AI is only part of a much broader tool kit of measures that can be used to tackle societal issues, however. For now, issues such as data accessibility and shortages of AI talent constrain its application for social good.

The United Nations’ Sustainable Development Goals (SDGs) are among the best-known and most frequently cited societal challenges, and our use cases map to all 17 of the goals, supporting some aspect of each one (Exhibit 3). Our use-case library does not rest on the taxonomy of the SDGs, because their goals, unlike ours, are not directly related to AI usage; about 20 cases in our library do not map to the SDGs at all. The chart should not be read as a comprehensive evaluation of AI’s potential for each SDG; if an SDG has a low number of cases, that reflects our library rather than AI’s applicability to that SDG.

So while we prattle about ‘the new normal’, we need to recognise that there was nothing ‘normal’ about the Holocene. Expert analysis of how human civilisation developed during the Holocene’s 10,000-year benign spell is only now becoming common knowledge. The geneticist David Reich leads the way, with his myth-busting account Who We Are and How We Got Here (2018), using research based on ancient DNA to link human movement with language development. Such deep knowledge of the period argues that our problem is not confined to post-industrial-era CO2 emissions (global warming, in any case, probably began with forest clearance for early agriculture), but insists that the Holocene was a freakish gift to humanity that we have exploited and taken for granted. We are now assisting at its funeral.

In New Zealand, a new generation of leadership has arisen, symbolized by Ardern: wise to the danger our planet is in; alive to the opportunities of a greener, fairer society; and not beholden to the outdated economic doctrines that have led us into this predicament. In New Zealand, GDP will no longer be the sole measure of success for economic policies, because GDP is not, and has never been, the best or only way to measure social development. In many ways, New Zealand’s new approach is a return to a more honest, more grounded way of practicing economics, more rooted in the real world, as Makhlouf explains. “Economics is about trade-offs,” he says. “Economics is about the fact that there are finite resources to meet unlimited wants and what’s the best way of dealing with that problem. What the Treasury is suggesting now is that we can become a bit more sophisticated than in the past at making those trade-offs.”