The 1 AI Stock I'd Put in a Time Capsule and Open in 2036

May 26, 2026
Minimalist illustration of a protein molecule in dark colors with lime accents.

In an intriguing perspective on future investments in artificial intelligence, Absci Corp. emerges as a compelling choice for those looking to capitalize on advancements in drug discovery. Rather than opting for more traditional tech giants, the author emphasizes Absci's innovative approach to biopharmaceutical research.

Absci positions itself as a "data-first generative AI drug creation company," utilizing AI to design potential drugs based on disease targets rather than relying on traditional lab testing methods. This approach allows for the rapid development of protein-based drugs through its Integrated Drug Creation platform, which combines deep learning models with laboratory validation. The company's long-term goal is to streamline the drug development process significantly, aiming for a seamless transition from target identification to viable drug candidates.

Absci has also established a robust network of partnerships with major pharmaceutical companies and academic institutions, enhancing its credibility and potential for success. Collaborations with industry leaders like Merck and PrecisionLife demonstrate a strong vote of confidence in Absci's platform and its capacity to revolutionize drug development. Furthermore, the company is not just serving as a service provider; it is actively developing its own pipeline of drug candidates, which could yield significant financial returns if successful.

However, the journey to 2036 is not without its challenges. The complexities of drug discovery and high regulatory standards pose risks, and the market may undervalue Absci's potential given its nonlinear growth trajectory. Yet, the author argues that this unpredictability makes Absci an intriguing candidate for long-term investment, suggesting that it could either emerge as a leader in the biotech sector or serve as a cautionary tale about the challenges of integrating AI in life sciences.

Read the original article: The Motley Fool