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| IN TODAY’S NEWSLETTER |
| 1. Amazon says ‘prove AI use’ if you want a promotion |
| 2. AI fights back against insurance claim denials |
| 3. Chimps, AI and the human language |
AI AT WORKAmazon says ‘prove AI use’ if you want a promotion![]() Amazon employees working in its smart home division now face a new career reality: demonstrate measurable AI usage or risk being overlooked for promotions. Ring founder and Amazon RBKS division head Jamie Siminoff announced the policy in a Wednesday email, requiring all promotion applications to detail specific examples of AI use. The mandate applies to Amazon’s Ring and Blink security cameras, Key in-home delivery service and Sidewalk wireless network — all part of the RBKS organization that Siminoff oversees. Starting in the third quarter, employees seeking advancement must describe how they’ve used generative AI or other AI tools to improve operational efficiency or customer experience. Managers face an even higher bar, needing to prove they’ve used AI to accomplish “more with less” while avoiding headcount expansion.The policy reflects CEO Andy Jassy’s broader push to return Amazon to its startup roots, emphasizing speed, efficiency and innovative thinking. Siminoff’s return to Amazon two months ago, replacing former RBKS leader Liz Hamren, came amid this cultural shift toward leaner operations. Amazon isn’t alone in tying career advancement to AI adoption. Microsoft has begun evaluating employees based on their use of internal AI tools, while Shopify announced in April that managers must prove AI cannot perform a job before approving new hires.The requirements vary by role at RBKS:Individual contributors must explain how AI improved their performance or efficiency. Managers must demonstrate strategic AI implementation that delivers better results without additional staff. All promotion applications must include concrete examples of AI projects and their outcomes. Daily AI use is strongly encouraged across product and operations teams. Siminoff has encouraged RBKS employees to utilize AI at least once a day since June, describing the transformation as reminiscent of Ring’s early days. “We are reimagining Ring from the ground up with AI first,” Siminoff wrote in a recent email obtained by Business Insider. “It feels like the early days again — same energy and the same potential to revolutionize how we do our neighborhood safety.”A Ring spokesperson confirmed the promotion initiative to Fortune, noting that Siminoff’s rule applies only to RBKS employees, not Amazon as a whole. However, the policy aligns with comments Jassy made last month that AI would reduce the company’s workforce through improved efficiency. Amazon has made AI fluency a job requirement, disguised as a career development opportunity. The RBKS policy transforms technology adoption from an optional skill to a mandatory gateway for advancement. This creates a troubling precedent. Career growth now depends on demonstrating measurable AI integration, rather than traditional performance metrics such as revenue generation, team leadership, or customer satisfaction. Employees who excel in areas that don’t easily mesh with current AI tools face an uphill battle for promotion.The policy also assumes equal access to AI-integrated projects across teams. Not every role at Ring or Blink naturally lends itself to AI experimentation, yet the promotion requirements make no distinction between departments with obvious AI applications and those where integration feels forced. Siminoff’s approach may drive efficiency gains, but it risks creating internal inequality based on technological adoption rather than actual job performance. The most concerning aspect is how this could become the template for promotion policies across Amazon and beyond. |
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Amazon has made AI fluency a job requirement, disguised as a career development opportunity. The RBKS policy transforms technology adoption from an optional skill to a mandatory gateway for advancement. This creates a troubling precedent. Career growth now depends on demonstrating measurable AI integration, rather than traditional performance metrics such as revenue generation, team leadership, or customer satisfaction. Employees who excel in areas that don’t easily mesh with current AI tools face an uphill battle for promotion.The policy also assumes equal access to AI-integrated projects across teams. Not every role at Ring or Blink naturally lends itself to AI experimentation, yet the promotion requirements make no distinction between departments with obvious AI applications and those where integration feels forced. Siminoff’s approach may drive efficiency gains, but it risks creating internal inequality based on technological adoption rather than actual job performance. The most concerning aspect is how this could become the template for promotion policies across Amazon and beyond.