{"id":20124,"date":"2020-02-12T05:00:00","date_gmt":"2020-02-12T12:00:00","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=20124"},"modified":"2020-09-22T03:52:44","modified_gmt":"2020-09-22T03:52:44","slug":"why-ai-adoption-starts-with-psychology","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/news\/stories\/why-ai-adoption-starts-with-psychology\/","title":{"rendered":"Why AI Adoption Starts with Psychology"},"content":{"rendered":"\n

Artificial intelligence (AI) has the potential to dramatically transform how we work today. But studies show that there\u2019s often a significant gap between organizations\u2019 ambitions and their success in implementing AI technology. In fact, up to 53% of AI projects<\/a> stall in the pilot phase or the early stages of adoption. [Click to Tweet<\/a>]<\/p>\n\n\n\n

What\u2019s going wrong here? Salesforce has found that for many companies, the biggest hurdle in adopting AI isn\u2019t the technology \u2014 it\u2019s the people. We sat down with Jess Shutt, Lead User Researcher on Salesforce\u2019s Einstein and AI team, to get a closer look at the issue.<\/p>\n\n\n\n

What the research reveals about AI adoption challenges<\/h2>\n\n\n\n

Shutt\u2019s team recently conducted research with companies of varying sizes and industries, so she has a ringside view on what works when it comes to AI adoption and what doesn\u2019t. A major insight? The key to success starts with understanding human psychology and the way people typically respond to change, then applying effective change management tools<\/a>.<\/p>\n\n\n\n

\u201cLet\u2019s say a team builds an AI model they feel comfortable with. Now they want to move forward, but they don\u2019t know how to progress from having the model in a product and ready to go, to getting a team to adopt it,\u201d Shutt says.<\/p>\n\n\n\n

\u201cFor example, they may not realize how to find allies who can help them communicate the value of the new AI process and allay any potential job-loss fears. That\u2019s a critical step and without it, employee resistance and a lack of management support can result in the project stalling.\u201d<\/p>\n\n\n\n

Another common assumption companies make is that because the AI tool they\u2019re looking to implement is cutting-edge, adoption will simply happen without the need to launch any specific change management initiative.<\/p>\n\n\n\n

\u201cA lot of people just assume that if the technology is good enough, teams will just absorb it. It\u2019s almost like attributing AI adoption to pure luck \u2014 that there\u2019s nothing people need to do to help the process along,\u201d Shutt explains.<\/p>\n\n\n\n

It turns out that the opposite is true.<\/p>\n\n\n\n

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