CogniFit survey finds AI optimism in cognitive care

A new global survey of 324 cognitive care professionals across 43 countries finds strong optimism about AI’s role in the field, paired with demand for earlier cognitive screening, closer monitoring of treatment side effects and broader access to validated tools. The results suggest AI could expand cognitive care, but professionals want human oversight and clearer clinical standards.

Why it matters: - Cognitive care professionals see AI as a potential force multiplier for assessment, training and monitoring. - The survey also shows the field wants stronger preventive care, which could push brain health deeper into mainstream healthcare. - Cost and access remain major barriers to wider adoption of cognitive tools.

What happened: - CogniFit surveyed 324 cognitive care professionals in 43 countries in June and July 2026. - The survey found 69% were optimistic or very optimistic about the future of cognitive care over the next five years. - Sixty-eight percent said the AI era will make cognitive care a much more important priority in psychology and healthcare. - Sixty percent said AI tools and platforms will transform cognitive care for the better.

The details: - Seventy-five percent said they would feel comfortable using AI for report generation. - Sixty percent said they would feel comfortable using AI for personalized training recommendations. - Only 37% said they would currently feel comfortable using AI for clinical decision support. - Only 31% said they would feel comfortable using AI for patient engagement. - Ninety-three percent agreed or strongly agreed that companies should work harder to incorporate brain and mental health into general health and training initiatives. - Eighty percent said clinicians should systematically assess and monitor cognitive side effects when prescribing medications or interventions involving anesthesia or surgery. - Seventy-eight percent said everyone over 60 should receive a brief annual cognitive check-up. - Sixty-one percent said routine cognitive check-ups should become standard practice at or before age 50. - Eighty-nine percent wanted expanded access to clinically validated tools. - Eighty-seven percent prioritized wider access to personalized assessments and interventions. - Eighty-one percent identified cost as the most frequently cited barrier to broader adoption. - The survey was developed with help from SharpBrains and was conducted in English and Spanish. - The sample was not designed to be statistically representative of the general population. - CogniFit said its platform is used for cognitive assessment and training across the lifespan and is available in more than 18 languages. - CogniFit said its technology is backed by more than 200 peer-reviewed studies, 18,000+ participants and 110+ universities and research centers, including more than 25 randomized controlled trials. - CogniFit said research behind the platform has been conducted at Albert Einstein College of Medicine, Icahn School of Medicine at Mount Sinai, Johns Hopkins University, Tel-Aviv University and the University of Zurich. - The company said its platform supports assessment, monitoring and training from ADHD to healthy aging and longevity. - More information is available in the company’s science overview.

Between the lines: - The results suggest cognitive care professionals are not rejecting AI, but they are drawing a line between administrative support and higher-stakes clinical use. - The strong support for routine check-ups points to a shift from reacting to cognitive decline toward earlier screening and prevention. - SharpBrains CEO Álvaro Fernández said the findings show cognitive health is moving from a niche concern toward scaled care across the full lifespan in the AI era.

What's next: - The survey points to rising demand for clinically validated AI tools that can support, not replace, professional judgment. - Healthcare providers and employers may face growing pressure to make brain health screening and monitoring routine. - Broader adoption will likely depend on lower costs, stronger evidence and clearer guidelines for safe use.

The bottom line: - Cognitive care professionals are ready for AI, but only if the tools are validated, affordable and used in ways that protect clinical judgment.