From Burnout to Balance: AI-Enhanced Work Models for the Future Research by The Upwork Research Institute reveals that 71% of full-time employees are burned out and 65% report struggling with employer demands on their productivity. Meanwhile, 81% of global C-suite leaders acknowledge they have increased demands on workers in the past year.¹
Leaders have high hopes that generative AI will help boost productivity, as 96% of C-suite leaders say they expect the use of AI tools to increase their company’s overall productivity levels. Already, 39% of companies in our study are mandating the use of AI tools, with an additional 46% encouraging their use.
However, this new technology has not yet fully delivered on this productivity promise: Nearly half (47%) of employees using AI say they have no idea how to achieve the productivity gains their employers expect, and 77% say these tools have actually decreased their productivity and added to their workload.
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Dazed & Confused: A Large-Scale Real-World User Study of reCAPTCHAv2 s. Traffic resulting from reCAPTCHA consumed 134 Petabytes
of bandwidth, which translates into about 7.5 million kWhs of
energy, corresponding to 7.5 million pounds of CO2. In addition,
Google has potentially profited $888 billion USD from cookies and
$8.75-32.3 billion USD per each sale of their total labeled data set