
We recently published a list of Billionaire Ken Fisher’s 10 Healthcare Stock Picks with Massive Upside Potential. In this article, we are going to take a look at where Merck & Co., Inc. (NYSE:MRK) stands against other Billionaire Ken Fisher’s healthcare stock picks with massive upside potential.
The healthcare industry, an essential component of global well-being and economic resilience, is undergoing significant changes. The industry, which is thought to account for more than 10% of the world’s GDP, is set to enter a new era characterized by demographic shifts, digital innovation, and regulatory realignment. Stakeholders in the life sciences, diagnostics, and healthcare services ecosystem face a conundrum as of 2025: stability is threatened by ongoing financial strain, growing operational complexity, and geopolitical risks, despite the abundance of growth opportunities.
Healthcare earnings in the U.S. are still under pressure. EBITDA as a percentage of national health spending has dropped by 150 basis points since 2019, which has a significant impact on both payers and providers, according to McKinsey. The World Health Organization projects that there will be a 10-million-person shortage of healthcare workers worldwide by 2030, limited reimbursement growth, and high inflationary prices. At the same time, digital transformation has gained importance. According to Deloitte, 90% of executives in global health systems anticipate a faster adoption of digital technology, and over 70% of them intend to increase operational efficiency in 2025.
Artificial intelligence (AI) is at the heart of this change. AI, which was once aspirational, is now a disruptive force that improves everything from medical diagnosis to hospital logistics. AI is seen by EU institutions as essential to the modernization of public health. The European Health Data Space (EHDS), which will be launched in 2025, and the European Commission’s 2024 AI Act aim to guarantee that AI technologies are reliable and safe, while facilitating access to high-quality, interoperable health data. These frameworks provide patients and developers with legal protection by simplifying liability standards for flawed AI systems, in conjunction with the revised Product Liability Directive.
However, issues remain. Integrating AI into clinical operations necessitates consistent funding, cultural acceptance, and regulatory clarity. Bias in data, ethical considerations, and the complexity of agentic AI solutions—tools that work autonomously to perform multi-step healthcare processes—require careful management. Despite these challenges, practical applications are gaining traction: AI is currently used in early sepsis identification, breast cancer screening, and pharmaceutical R&D, with the potential to shorten medication development timelines and improve patient outcomes.