AI Rises as Biotech Faces a Growing Talent Shortage

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AI Steps In as Biotech Struggles to Fill Critical Talent Gaps

Written by Aaron S.,

Editor-In-Chief

Last Updated: February 06, 2026

Key Takeaways

Biotech firms struggle to treat rare diseases because talent shortages slow progress despite advanced tools;
Insilico promotes AI as a way for small teams to handle more work and target diseases with little research;
Insilico’s data-driven platform tests drug ideas, explores new uses for old medicines, and supports ALS research.

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AI Steps In as Biotech Struggles to Fill Critical Talent Gaps

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Leaders at Insilico Medicine and GenEditBio said the biotech industry has advanced tools to edit genes and design new medicines, yet many rare conditions still lack treatment.

They explained that progress has slowed because companies cannot hire enough specialists to handle the workload.

They viewed artificial intelligence (AI) as a way to expand what small teams can achieve and to address diseases that have received little attention.

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This point came up at Web Summit Qatar, where Insilico’s president, Alex Aliper, outlined the company’s plan to build what he called “pharmaceutical superintelligence".

He also highlighted “MMAI Gym", a new effort that trains large language models such as ChatGPT and Gemini so they can perform tasks usually handled by domain-specific systems. His long-term aim is to create a single model that handles many steps in drug development with high accuracy.

Insilico uses a platform that collects biological, chemical, and clinical data. The system proposes disease targets and possible drug molecules based on patterns in that data.

The company said this setup replaces many manual tasks that once needed large research teams.

One project focused on ALS, a rare neurological condition. Insilico used its models to study whether existing medicines might help treat it.

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