Leaders note lack of understanding, business
strategy, sufficient data and regulation preparedness as concerns;
data privacy, security and governance are primary
challenges
CARY,
N.C., July 9, 2024 /PRNewswire/ -- Generative AI
is here to stay. Organizations around the world are
enthusiastically using and investing in the technology. But what
regions and countries are leading in the use of GenAI? China is in the lead according to a recent
global study SAS commissioned with Coleman Parkes Research Ltd.
China business decision makers
report that 83% of their organizations are using the technology.
That's more than in the United
Kingdom (70%), the United
States (65%) and Australia
(63%). But organizations in the United
States are ahead in terms of maturity and having fully
implemented GenAI technologies at 24% compared to China's 19%, and the United Kingdom's 11%.
"Now we purposefully implement and deliver
repeatable and trusted business results from GenAI." – Bryan Harris, SAS
What does this mean in terms of the global economic impact of AI
and GenAI? In a 2023 report, McKinsey estimated GenAI could add the
equivalent of $2.6 trillion to
$4.4 trillion annually across a
variety of use cases. That's comparable to the entire GDP of the
United Kingdom in 2021. This
impact would increase the overall influence of artificial
intelligence by 15% to 40%.
Considering these economic implications, SAS and Coleman Parkes
targeted 1,600 decision makers across key global markets.
Respondents work in a range of industries including banking,
insurance, the public sector, life sciences, health care,
telecommunications, manufacturing, retail, energy and utilities,
and professional services. The smallest organizations surveyed
employed a workforce of 500 - 999 people, and the largest employed
more than 10,000.
Learn more in the full research report and an interactive data
dashboard.
"While China may lead in GenAI adoption rates, higher adoption
doesn't necessarily equate to effective implementation or better
returns," said Stephen Saw, Managing Director at Coleman Parkes.
"In fact, the US nudges ahead in the race with 24% of organizations
having fully implemented GenAI compared to 19% in China."
Global regions charge ahead with GenAI
Highlights from
the global survey results include indicators that signal different
regions are on board and starting to adopt GenAI in meaningful ways
but at different rates.
"With any new technology, organizations must navigate a
discovery phase, separating hype from reality, to understand the
complexity of real-world implementations in the enterprise. We have
reached this moment with generative AI," said Bryan Harris, Executive Vice President and CTO
at SAS. "As we exit the hype cycle, it is now about purposefully
implementing and delivering repeatable and trusted business results
from GenAI."
Where do regions rank in fully using and implementing
generative AI into their organization's processes?
- North America: 20%
- APAC: 10%
- LATAM: 8%
- Northern Europe: 7%
- South West and Eastern Europe:
7%
Which regions have implemented GenAI use policies?
- APAC: 71%
- North America: 63%
- South West and Eastern Europe:
60%
- Northern Europe: 58%
- LATAM: 52%
To what extent do those planning to invest in GenAI in the
next financial year have a dedicated budget?
- APAC: 94%
- Northern Europe: 91%
- South West and Eastern Europe:
91%
- North America: 89%
- LATAM: 84%
Note: North America comprise
the United States and Canada; LATAM includes Brazil and Mexico; Northern
Europe includes United
Kingdom/Ireland,
Sweden, Norway, Finland, Denmark; South West and Eastern Europe is France, Germany, Italy, Benelux, Spain and Poland; and APAC encompasses Australia, China, Japan
and the United Arab
Emirates/Saudi
Arabia.
Industries and functional divisions embrace GenAI at varying
rates
Sabine VanderLinden,
CEO and Venture Partner, Alchemy Crew, sees much potential for
industries investing in GenAI. "The future of business is being
reshaped by generative AI," she said. "Indeed, the integration of
GenAI into business processes – from dynamic profiling in marketing
to precision claims insurance – offers unparalleled opportunities
for efficiency, personalization, and strategic foresight. Embracing
this technology is essential for staying ahead in a highly
uncertain and unpredictable competitive market."
When split into industry segments, the data shows banking and
insurance leading other industries in terms of incorporating GenAI
AI into daily business operations across a variety of metrics.
Highlights from those findings are below.
How do specific industries rank in terms of fully
implementing GenAI and fully implementing it into regular business
processes?
- Banking: 17%
- Telco: 15%
- Insurance: 11%
- Life sciences: 11%
- Professional services: 11%
- Retail: 10%
- Public sector: 9%
- Health: 9%
- Manufacturing: 7%
- Energy and utilities: 6%
Which industries indicate they already use GenAI daily to
some extent?
- Telco: 29%
- Retail: 27%
- Banking: 23%
- Professional services: 23%
- Insurance: 22%
- Life sciences: 19%
- Health care: 17%
- Energy and utilities: 17%
- Manufacturing: 16%
- Public sector: 13%
Which departments inside organizations are using or planning
to use GenAI?
- Sales: 86%
- Marketing: 85%
- IT: 81%
- Finance: 75%
- Production: 75%
Early adopters are finding plenty of obstacles in using and
implementing GenAI
No. 1 on the list of challenges
organizations face in putting GenAI to routine use is the lack of a
clear GenAI strategy.
Only 9% of leaders responding to the survey indicate they are
extremely familiar with their organization's adoption of GenAI. Of
respondents whose organizations that have fully implemented GenAI,
only 25% say they are extremely familiar with their organization's
GenAI adoption strategy. Even those decision makers responsible for
technology investment decisions aren't familiar with AI – including
those at organizations that are ahead of the adoption curve.
Nine out of 10 senior technology decision makers overall admit
they don't fully understand GenAI and its potential to affect
business processes. At 45%, CIOs lead the way with executives who
understand their organization's AI adoption strategy. But only 36%
of Chief Technology Officers (CTOs) say they're fully in the
know.
Yet despite this understanding gap, most organizations (75%) say
they have set aside budgets to invest in GenAI in the next
financial year.
Other challenges organizations face include:
• Data
As organizations adopt GenAI, they
realize they have insufficient data to fine tune large language
models (LLMs). They also realize - once they're deep into
deployment - they lack the appropriate tools to successfully
implement AI. Organizations' IT leaders are mostly concerned about
data privacy (76%) and data security (75%).
• Regulation
Only a tenth of
organizations say they are fully prepared to comply with coming AI
regulations. One third of organizations that have fully implemented
believe they can comply with regulations. Only 7% are providing a
high level of training on GenAI governance. And only 5% have a
reliable system in place to measure bias and privacy risks in
LLMs.
Although there are obstacles, some early adopters have
experienced meaningful benefits already: 89% report improved
employee experience and satisfaction; 82% say they're saving
operational costs; and 82% state customer retention is higher.
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About SAS
SAS is a global leader in data and AI. With
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transform data into trusted decisions. SAS gives you THE POWER TO
KNOW®.
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reserved.
Editorial Contact:
Laura Fleek
Brumley
laura.brumley@sas.com
214-803-6692
sas.com/news
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