Michal has keynoted for organizations including PwC, Google, McKinsey, Boston Consulting Group, P&G, and Deutsche Telekom, and has spoken at venues ranging from the European Parliament and Chatham House to C-SPAN and DLD - where his 2025 talk on the psychology of AI was voted Best Talk of the Day. He advises governments and corporations on AI, has testified before the FTC, the Department of Justice, and the EEOC, and serves on TELUS's AI Board. Audiences rate him exceptionally: 9.81/10 at a recent leadership event - "the highest score I've ever seen," per the organizer.
His research showed that ordinary digital footprints - likes, clicks, images - reveal our intimate traits. He was behind the first press article warning against Cambridge Analytica, published three years before the scandal broke, and his work drove the FTC case that ended in Facebook's record $5 billion fine. More recently, he was among the first to show human-like psychological processes emerging in large language models - research that changed how scientists and companies think about what AI can do.
One of the world's most cited scientists (30,000+ citations, Clarivate > top 1%), his research has inspired a cover story in The Economist, the theatre production "Privacy" (Donmar Warehouse, London; Public Theater, New York), several TED talks, and a video game - and has been featured in thousands of press articles, podcasts, and documentaries worldwide.
米哈尔曾为普华永道、谷歌、麦肯锡、波士顿咨询公司、宝洁和德国电信等机构发表主旨演讲，并曾在欧洲议会、查塔姆研究所、C-SPAN和DLD数字生活设计大会等场合演讲。在DLD大会上，他2025年关于人工智能心理学的演讲被评为“当日最佳演讲”。他为政府和企业提供人工智能方面的咨询，曾在美国联邦贸易委员会、司法部和平等就业机会委员会作证，并担任加拿大研科公司人工智能委员会成员。观众对他的评价极高：在最近一次领导力活动上，他的评分达到9.81/10——活动组织者称这是“我见过的最高分”。
他的研究表明，普通的数字足迹——点赞、点击、图片——能够揭示我们最私密的个人特质。他是第一篇警告剑桥分析公司问题的媒体文章背后的人，该文章比丑闻爆发早了三年；他的研究还推动了联邦贸易委员会的案件，最终使Facebook被处以创纪录的50亿美元罚款。近年来，他又是最早证明大语言模型中出现了类人心理过程的研究者之一，这项研究改变了科学家和企业对人工智能能力的认知。
米哈尔是全球被引用次数最多的科学家之一（引用次数超过30,000次，入选科睿唯安全球前1%高被引科学家）。他的研究启发了《经济学人》封面报道、舞台剧《隐私》（伦敦多玛仓库剧院；纽约公共剧院）、多场TED演讲以及一款电子游戏，并被全球数千篇媒体报道、播客和纪录片所介绍。