Description: How does mortality experience impact earnings under the new GAAP financial framework? This article discusses how to isolate key components from financial models related to decrements, as well as how to handle the changes in the financial reporting landscape including: the aggregation of insurance policies into cohorts, dynamic reserving, and the limitations imposed by caps and floors. Looking at the components of earnings, such as the present value of benefits, expenses, and premiums, and how these elements interact is critical to form a comprehensive earnings story.

Description: Al is reshaping the actuarial profession at an unprecedented pace. This article explores how emerging technologies—machine learning, generative AI, and automation—are transforming actuarial practice across pricing, reserving, and risk management. It highlights opportunities for actuaries to harness AI for deeper insights, enhanced predictive power, and more efficient workflows, while also addressing the challenges of transparency, bias, and ethical responsibility. The discussion situates AI within the broader context of professional standards and regulatory expectations, emphasizing the need for governance frameworks that safeguard trust and accountability. Drawing from real-world case studies and current research, the article examines how the actuary’s role is evolving from traditional modeling to strategic data leadership. It calls for continuous learning and interdisciplinary collaboration to ensure that actuaries remain central to the future of risk and finance. Ultimately, this article offers a balanced roadmap—one that recognizes AI as both a disruptive force and a catalyst for professional reinvention.

Description: Actuary Dave Dillon describes his role volunteering his time as a teacher in higher education, including the rewards and challenges that teaching offers. He discusses the importance of being attentive to his audience’s pre-existing knowledge and adapting his presentations accordingly. His work as a teacher typically encompasses three distinct domains: 1) acquainting young students with the actuarial profession, 2) educating non-actuaries about public policy issues related to health insurance (including the Affordable Care Act), and 3) instructing current actuaries on advanced methodologies and principles within the field. Recently he taught a health insurance course for actuarial science graduate students at Georgia State University and lectured at Boise State University’s master's program in Population & Health Systems Management. In every teaching and mentoring opportunity, actuaries can contribute to the expansion and prosperity of the profession and are encouraged to pursue these endeavors.

Description: We explore the question of how an actuary–artificial intelligence collaboration might look in the future and how actuaries should be trained to best leverage this technology. It felt fitting to accomplish this through a conversation with an AI system, as AI involvement is warranted to ground the analysis in the technology’s true capabilities.