Over the past year, MIT Technology Review Insights has conducted numerous studies on AI, the rate of corporate adoption, the leading use cases, and the impact on customers and staff. So what did we learn?
1) 63% of businesses in a worldwide survey to the MIT Technology Review Global Panel have a centralized AI plan or are using AI on a case by case basis. The most common areas of application are product or service development (33%), research and development (20%), and customer service (10%).
Which statement best describes your company’s strategy for the deployment of AI?
In what area is your company using AI the most?
2) Companies are making big AI-driven gains in efficiency and customer satisfaction. In a global survey of marketing and customer experience leaders, we learned that AI is a key tool in driving service at scale. Some 46% had seen significant improvements in customer call efficiency, followed by customer satisfaction and assisting customers migrate across channels (both at 36%).
Areas where AI investments have significantly improved CX processes and contact center operations.
3) A dearth of tech expertise and low-quality data are slowing implementations. The number one difficulty for AI adopters is the shortage of AI talent. Some 60% of global survey respondents say lack of experience is a key challenge. Insufficient data quality is the second greatest challenge for businesses (48%), followed by the high level of required investment (35%.)
What are the main challenges as your company deploys AI? (top 3)
4) Business leaders are mostly unconcerned about the impact of AI on jobs in their organizations. The vast majority (60%) see overall headcounts stable or increasing. That said, nearly 40% note that a small number of roles are being automated. More common, is that jobs are being supported and made more efficient by employees having AI tools available.
In the last 12 months, have you seen any job roles lost to technology/automation in your organization?
In the last 12 months, have you seen job roles changing and being augmented by technology in your organization?
5) Ethical concerns are featuring prominently in the minds of business executives. With AI technology developing at full tilt, there are increasing worries about bias, data protection, cyber-risk and the possible impact on society. In a survey of Asia-based executives, some 42% said what vigorous debate about AI ethics was taking place. The key ethical questions, according to Genevieve Bell, distinguished professor of engineering and computer science at the Australian National University who took part in an MIT Technology Review Insights research study, should be around the following themes:
- Autonomy: Will AI systems be autonomous, and should they be?
- Agency: Who will set limits and controls and ensure they are consistently applied?
- Assurance: How will humans accommodate safety, risk, liability, trust, privacy, and ethics?
- Measurement: How will we measure the effectiveness of AI systems?
- Humanity: How will humans interact with AI-driven systems?