n 1953, US senators grilled General Motors CEO Charles “Engine Charlie” Wilson about his large GM shareholdings: Would they cloud his decision making if he became the US secretary of defense and the interests of General Motors and the United States diverged? Wilson said that he would always put US interests first but that he could not imagine such a divergence taking place, because, “for years I thought what was good for our country was good for General Motors, and vice versa.” Although Wilson was confirmed, his remarks raised eyebrows due to widespread skepticism about the alignment of corporate and societal interests.

The skepticism of the 1950s looks quaint when compared with today’s concerns about whether business leaders will harness the power of artificial intelligence (AI) and workplace automation to pad their own pockets and those of shareholders—not to mention hurting society by causing unemployment, infringing upon privacy, creating safety and security risks, or worse. But is it possible that what is good for society can also be good for business—and vice versa?

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To answer this question, we need a balanced perspective that’s informed by history. Technology has long had positive effects on well-being beyond GDP—for example, increasing leisure or improving health and longevity—but it can also have a negative impact, especially in the short term, if adoption heightens stress, inequality, or risk aversion because of fears about job security. A relatively new strand of welfare economics has sought to calculate . This is not just a theoretical exercise. What if workers in the automation era fear the future so much that this changes their behavior as consumers and crimps spending? What if stress levels rise to such an extent as workers interface with new technologies that labor productivity suffers?

Technological social responsibility (TSR) amounts to a conscious alignment between short- and medium-term business goals and longer-term societal ones.

Building and expanding on existing theories of welfare economics, we simulated how technology adoption today could play out across the economy. The key finding is that two dimensions will be decisive—and in both cases, business has a central role to play (Exhibit 1). The first dimension is the extent to which firms adopt technologies with a view to accelerating innovation-led growth, compared with a narrower focus on labor substitution and cost reduction. The second is the extent to which technology adoption is accompanied by measures to actively manage the labor transitions that will accompany it—in particular, r.Exhibit 1

Both of these dimensions are in sync with our previous bottom-line-focused work on AI and automation adoption. In our research, digital leaders who reap the biggest benefits from technology adoption tend to be those who focus on new products or new markets and, as a result, are more likely to increase or stabilize their workforce than reduce it. At the same time, human capital is an essential element of their strategies, since having the talent able to implement and drive digital transformation is a prerequisite for successful execution. No wonder a growing number of companies, from Walmart to German software company SAP, are emphasizing in-house training programs to equip members of their workforce with the skills they will need for a more automated work environment. And both Amazon and Facebook have raised the minimum wage for their workers as a way to attract, retain, and reward talent.

TSR: Technological social responsibility

Given the potential for a win–win across business and society from a socially careful and innovation-driven adoption strategy, we believe the time has come for business leaders across sectors to embed a new imperative in their corporate strategy. We call this imperative technological social responsibility (TSR). It amounts to a conscious alignment between short- and medium-term business goals and longer-term societal ones.

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