Estremizzando la sintesi mi pare si possa dire che la situazione è
questa:
- i capi hanno aderito all'assioma mediatico che con l'IA il dipendente
debba essere più produttivo, ma metà dei dipendenti non ha idea di come
fare;
- per qualche motivo i consulenti sembrano invece non avere problemi ad
essere più produttivi
- quindi i capi esternalizzano il lavoro.
Se non esagero, la storia ricorda quella dei primi anni 2000 in cui
tutti facevano outsourcing pensando di risparmiare e si sono poi
ricreduti di brutto.
Ciao, Enrico
------ Messaggio originale ------
Da "Daniela Tafani" <daniela.taf...@unipi.it>
A "nexa@server-nexa.polito.it" <nexa@server-nexa.polito.it>
Data 28/07/2024 23:38:48
Oggetto [nexa] Upwork Study Finds Employee Workloads Rising Despite
Increased C-Suite Investment in Artificial Intelligence
Data reveals 96% of C-suite leaders expect AI to boost worker productivity, but
77% of employees report AI has increased their workload
SAN FRANCISCO, July 23, 2024 (GLOBE NEWSWIRE) -- Upwork Inc. (Nasdaq: UPWK),
the world’s work marketplace that connects businesses with independent talent,
today released a new study from The Upwork Research Institute revealing that AI
is increasing the workloads of full-time employees, hampering productivity, and
contributing to employee burnout.
While business leaders are investing heavily in AI, the study shows that most
organizations are currently failing to unlock the full productivity value of
the technology. Despite 96% of C-suite leaders expressing high expectations
that AI will enhance productivity, 77% of employees using AI say these tools
have added to their workload, and nearly half (47%) of employees using AI
report they do not know how to achieve the expected productivity gains.
Key findings from the report include:
Workers are feeling the strain from rising productivity demands, with 1 in
3 full-time employees saying they will likely quit their jobs in the next six
months: 81% of global C-suite leaders acknowledge they have increased demands
on their workers in the past year. Consequently, 71% of full-time employees are
burned out, and 65% report struggling with their employer’s demands on their
productivity. Alarmingly, 1 in 3 employees say they will likely quit their jobs
in the next six months due to burnout or being overworked.
C-suite leaders have high hopes that AI will help boost productivity, but
employees are experiencing the opposite, with AI making their jobs harder: 96%
of C-suite leaders expect the use of AI tools to increase their company’s
overall productivity levels. Already, 85% of companies are using AI, including
39% mandating the use of AI tools and 46% encouraging their use. However, 77%
of employees report that these tools have added to their workload. Employees
report spending more time reviewing or moderating AI-generated content (39%),
investing more time learning how to use these tools (23%), and being asked to
do more work as a direct result of AI (21%).
For many workers, the path to achieving the productivity gains that
employers expect is not clear: Nearly half (47%) of employees using AI say they
have no idea how to achieve the productivity gains their employers expect, and
40% feel their company is asking too much of them when it comes to AI.
Freelancers unlock productivity with AI, outpacing full-time employees:
Nearly half (48%) of freelancers say they’re “somewhat” or “highly” skilled at
using AI, and over a third (34%) use AI tools at least 1-2 days per week.
Additionally, more than half (56%) of freelancers say they do not experience
struggles keeping pace with productivity demands of clients, as compared to
just 35% of their full-time employee counterparts.
Many C-suite leaders have doubled organizational agility as well as
well-being and engagement among full-time employees as a result of bringing in
freelance talent: C-suite leaders leveraging freelancers say they have at least
doubled the following outcomes for their business: organizational agility
(45%), quality of work being produced (40%), innovation (39%), scalability
(39%), revenue and bottom line (36%), and efficiency (34%). More than a third
(35%) report also doubling the level of well-being and engagement among their
full-time employees as a result of bringing in freelance talent. Nearly half
(48%) of C-suite executives even report hiring freelancers to execute delayed
AI projects over the past year.
“In order to reap the full productivity value of AI, leaders need to create an
AI-enhanced work model,” Monahan continued. “This includes leveraging
alternative talent pools that are AI-ready, co-creating measures of
productivity with their workforces, and developing a deep understanding of and
proficiency in implementing a skills-based approach to hiring and talent
development. Only then will leaders be able to avoid the risk of losing
critical workers and advance their innovation agenda.”
For full study findings and insights, visit:
<https://www.upwork.com/research/ai-enhanced-work-models>
<https://investors.upwork.com/news-releases/news-release-details/upwork-study-finds-employee-workloads-rising-despite-increased-c>
-- EN
https://www.hoepli.it/libro/la-rivoluzione-informatica/9788896069516.html
======================================================
Prof. Enrico Nardelli
Past President di "Informatics Europe"
Direttore del Laboratorio Nazionale "Informatica e Scuola" del CINI
Dipartimento di Matematica - Universit� di Roma "Tor Vergata"
Via della Ricerca Scientifica snc - 00133 Roma
home page: https://www.mat.uniroma2.it/~nardelli
blog: https://link-and-think.blogspot.it/
tel: +39 06 7259.4204 fax: +39 06 7259.4699
mobile: +39 335 590.2331 e-mail: narde...@mat.uniroma2.it
online meeting: https://blue.meet.garr.it/b/enr-y7f-t0q-ont
======================================================
--
