Losing Sleep Over AI : Heartfulness AI Evolution and Adoption Survey Finds Heavy AI Users and Individuals with High Screen Exposure Reporting Later Bedtimes and Rising Daytime fatigue

Mumbai, March 13^th, 2026: India’s rapid embrace of artificial intelligence and the growing fear of being left behind is quietly eroding the nation’s sleep. A national survey released by Heartfulness Institute coinciding with World Sleep Day 2026 suggests that as professionals and students increasingly turn to AI tools to extend productivity and learning, sleep and quality of sleep is a casualty even without them immediately recognizing the impact. The survey was conducted with over 550+ individuals across Mumbai, Hyderabad, Delhi, Goa, Andhra Pradesh, Chhattisgarh, Pune, Chandigarh, Thane amounts other cities/states.

The survey findings suggest a clear link between increased AI and digital exposure and poorer sleep health among respondents. Individuals with more than six hours of daily screen time show nearly 80% higher rates of sleep issues, while frequent AI users also report greater sleep disturbances and daytime sleepiness.

Reflecting on the deeper importance of rest in an age of constant digital stimulation, Kamlesh D. Patel, President of Shri Ram Chandra Mission, and global guide of Heartfulness, said the findings highlight the need to consciously balance technological advancement with inner well-being. “Sleep is not merely a biological function but a sacred opportunity for the mind and heart to rejuvenate. In today’s world our attention is constantly drawn outward through devices, information, and now artificial intelligence. While these technologies are powerful tools, they also keep the mind active far beyond the natural rhythm of the day. When we consciously create moments of inner quiet before sleep, the mind gradually settles, and the quality of rest deepens. True productivity arises not from constant activity, but from a balanced mind that is rested, calm, and centered.”

Demographic Profile and AI Usage Purposes:

Participant Subgroup		Primary Demographics		Average Daily Screen Time		Primary Purposes of AI Usage
IT & Software Professionals		25 – 54 years		6 to >8 hours		Study, Work productivity, Coding, Content creation, Information search
College / University Students		15 – 24 years		4 to >8 hours		Study, Work productivity, Emotional support, Curiosity, Content creation
Healthcare Professionals		25 – 64 years		<2 to 6 hours		Information search, Work productivity, Emotional support
Education / Teaching		25 – 64 years		2 to 8 hours		Work productivity, Study, Information search
Retired / Senior Citizens		65+ years		<2 hours		Information search, Curiosity/entertainment

Demographically, students and IT/tech professionals form a large portion of respondents, with the 25–44 age group showing the highest AI interaction. Notably, the 35–44 age group reports the lowest sleep quality, whereas the 65+ group reports the best sleep quality despite the 55–64 age group having the shortest sleep duration. 

The key takeaways from the survey point to a strong association between screen exposure and sleep quality. While high screen-time users (more than 6 hours a day) make up 22.7% of the overall population, they account for a much larger 34.6% of those reporting significant sleep issues. About 20.5% of high screen-time users report fairly bad or very bad sleep, compared with 11.4% among low screen-time users. They also sleep slightly less on average (6.39 hours vs. 6.53 hours), suggesting that prolonged digital exposure may be linked to poorer sleep outcomes.

Overall, the findings suggest that limiting daily screen exposure to under six hours may help improve sleep quality, highlighting the need for further research on how AI and digital engagement influence sleep patterns.

Age Group		Avg GAD-7 Score		Avg AI Interaction Score		Avg Sleep Duration (Hrs)		Avg Sleep Quality Score
15 – 17		8.27		2.91		7.09		2.27
18 – 24		5.90		2.87		6.55		2.11
25 – 34		6.57		3.33		6.74		1.93
35 – 44		4.80		3.27		6.45		1.87
45 – 54		5.53		2.21		6.36		1.89
55 – 64		2.64		2.27		5.64		2.00
65+		0.57		1.43		6.21		2.57

The survey also indicates that frequent AI users report slightly higher daytime sleepiness, averaging 0.65 on a 0–3 scale, compared with 0.60 among low AI users, even though their average sleep duration remains similar (6.52 hours vs. 6.46 hours). AI interaction is highest among adults aged 25–44, with scores above 3.2 (daily usage), while the 65+ group records the lowest interaction (1.43). Sleep duration varies by age, with 15–17-year-olds getting the most sleep (7.09 hours) and the 55–64 group the least (5.64 hours).

Gender differences are minimal: men sleep slightly longer on average (6.52 hours vs. 6.43 hours) and report marginally higher screen time (4.69 vs. 4.38 hours). Sleep quality (2.05 vs. 2.08) and AI usage (2.86 vs. 2.87) remain nearly identical between men and women.

The national survey, conducted among students, IT professionals, healthcare workers and educators, found that 82.6% use AI tools daily or multiple times a day, underscoring how deeply artificial intelligence has become embedded in work and study routines. Digital exposure remains high overall, with more than half of respondents reporting over four hours of daily screen time, while a significant share of knowledge workers and technology professionals reported six to eight hours or more.

Health experts say the brain requires a gradual transition from intense cognitive engagement to sleep – a transition that constant digital stimulation can disrupt. Dr. Jayaram Thimmapuram, academic hospitalist in internal medicine at WellSpan York Hospital and a Heartfulness practitioner, who has studied the relationship between meditation, stress, and sleep quality, said “The human brain still requires a natural transition from intense cognitive engagement to restorative sleep. When our minds remain active late into the night – whether through screens, digital work, or AI-assisted tasks – it can delay this shift into rest. Simple practices such as reducing screen exposure before bedtime, maintaining consistent sleep routines, and incorporating meditation can help calm the mind, improve sleep quality, and enable individuals to sustain energy, focus, and emotional balance in increasingly demanding professional environments.”

AI , Screens and Sleepless Days and Nights

The table below shows correlations between major variables. A positive value indicates that both variables tend to increase together, while a negative value indicates an inverse relationship.

Variable		Screen Time		AI Usage		Sleep Hours		Sleep Quality		Daytime Sleepiness
Screen Time		100.00%		21.99%		1.33%		-16.36%		8.08%
AI Usage		21.99%		100.00%		-2.72%		-5.02%		-3.03%
Sleep Hours		1.33%		-2.72%		100.00%		43.56%		-21.84%
Sleep Quality		-16.36%		-5.02%		43.56%		100.00%		-16.85%
Daytime Sleepiness		8.08%		-3.03%		-21.84%		-16.85%		100.00%

 The impact analysis shows that “Significant Sleep Issues” refer to participants who rated their overall sleep quality as “Fairly Bad” or “Very Bad.” This classification helps identify the group experiencing the most pronounced sleep challenges and allows for closer examination of how factors such as screen time, AI usage, and demographic trends may be associated with poorer sleep outcomes.

1. Screen Time Impact                                               

Group		Sleep Issue Rate (%)
High Screen Time (>6h)		20.45%
Low Screen Time (≤6h)		11.37%
Percentage Increase		79.88%

 AI Usage Impact                   

Group		Sleep Issue Rate (%)
High AI Usage		18.83%
Low AI Usage		12.50%
Percentage Increase		50.65%

These patterns appear to be gradually shifting sleep schedules later into the night. Most respondents reported going to bed between 11 PM and midnight, with wake-up times typically between 6 AM and 7 AM, leaving limited time for restorative sleep when evening screen use continues close to bedtime.

Despite these patterns, 63.6% of respondents rated their sleep as “very good.” However, more detailed responses suggest underlying sleep disruption: over half reported difficulty falling asleep at least occasionally, nearly six in ten reported waking during the night, and more than 40% reported experiencing daytime sleepiness.

Researchers suggest this disconnect may be due to “normalization,” where gradually declining sleep quality becomes accepted as part of daily life rather than recognized as a health concern. Symptoms such as fatigue, difficulty concentrating, and increased caffeine use may therefore go largely unrecognized as indicators of insufficient rest.

Another notable finding is that more than 90% of respondents reported never using sleep medication. While this may appear reassuring, it also suggests that sleep disruptions among digitally active professionals and students remain largely unaddressed by healthcare systems, as many individuals continue functioning despite persistent fatigue and therefore rarely seek medical assistance.