- About 42% of enterprise-scale companies surveyed
(> 1,000 employees) report having actively deployed AI in their
business.
- An additional 40% are currently exploring or
experimenting with AI but have not deployed their
models.
- However, 59% of those companies surveyed already
exploring or deploying AI say they have accelerated their rollout
or investments in the technology.
- The top barriers preventing deployment include limited AI
skills and expertise (33%), too much data complexity (25%), and
ethical concerns (23%).
ARMONK,
N.Y., Jan. 10, 2024 /PRNewswire/ -- New research
commissioned by IBM (NYSE: IBM) found that about 42% of
enterprise-scale organizations (over 1,000 employees) surveyed have
AI actively in use in their businesses. Early adopters are leading
the way, with 59% of responding enterprises already working with AI
intending to accelerate and increase investment in the technology.
Ongoing challenges for AI adoption in enterprises remain, including
hiring employees with the right skillsets, data complexity, and
ethical concerns continue to inhibit businesses from adopting AI
technologies into their operations.
Experience the interactive Multimedia News Release here:
https://www.multivu.com/players/English/9240059-ibm-2023-global-ai-adoption-index-report/
"We're seeing that the early adopters who overcame barriers to
deploy AI are making further investments, proving to me that they
are already experiencing the benefits from AI. More accessible AI
tools, the drive for automation of key processes, and increasing
amounts of AI embedded into off-the-shelf business applications are
top factors driving the expansion of AI at the enterprise level,"
said Rob Thomas, Senior Vice
President, IBM Software. "We see organizations leveraging AI for
use cases where I believe the technology can most quickly have a
profound impact like IT automation, digital labor, and customer
care. For the 40% of companies surveyed stuck in the sandbox, I am
confident 2024 will be the year of tackling and overcoming barriers
to entry like the skills gap and data complexity."
Highlights from the "IBM Global AI Adoption Index 2023,"
conducted by Morning Consult on behalf of IBM, include:
Over the last several years, AI adoption has remained steady
at large organizations surveyed:
- Today, 42% of IT professionals at large organizations
report that they have actively deployed AI while an
additional 40% are actively exploring using the
technology.
- Additionally, 38% of IT professionals at enterprises
report that their company is actively implementing generative AI
and another 42% are exploring it.
- Organizations in India (59%),
the UAE (58%), Singapore (53%),
and China (50%) are leading the
way in active use of AI, compared with lagging markets like
Spain (28%), Australia (29%), and France (26%).
- Companies within the financial services industry are most
likely to be using AI, with about half of IT
professionals within that industry reporting their company has
actively deployed AI. 37% of IT professionals within the
telecommunications industry state that their company is also
deploying AI.
The majority of surveyed companies actively deploying or
exploring AI have accelerated their rollout or investments in the
past 24 months:
- 59% of IT professionals at companies deploying or
exploring AI indicate that their company has accelerated their
investments in or rollout of AI in the past 24 months.
- China (85%), India (74%), and the
UAE (72%) are the markets most likely to be accelerating
AI rollout, while businesses in the
UK (40%), Australia (38%) and
Canada (35%) were the least likely to accelerate the
rollout.
- Research and development (44%) and
reskilling/workforce development (39%) are the top AI
investments at organizations exploring or deploying AI.
Easier to use AI tools and the need to reduce costs and
automate processes are driving AI adoption among surveyed
companies:
- Advances in AI tools that make them more
accessible (45%), the need to reduce costs and automate
key processes (42%), and the increasing amount of AI
embedded into standard off the shelf business
applications (37%) are the top factors driving AI
adoption.
- For IT professionals, the two most important changes to AI in
recent years are solutions that are easier to
deploy (43%) and the increased prevalence of data, AI,
and automation skills (42%).
- The AI use cases driving adoption for surveyed companies
currently exploring or deploying AI are not limited, but cut across
many key areas of business operations:
- Automation of IT processes (33%)
- Security and threat detection (26%)
- AI monitoring or governance (25%)
- Business analytics or intelligence (24%)
- Automating processing, understanding, and flow of
documents (24%)
- Automating customer or employee self-service answers and
actions (23%)
- Automation of business processes (22%)
- Automation of network processes (22%)
- Digital labor (22%)
- Marketing and sales (22%)
- Fraud detection (22%)
- Search and knowledge discovery (21%)
- Human resources and talent acquisition (19%)
- Financial planning and analysis (18%)
- Supply chain intelligence (18%)
The same set of barriers are keeping the next wave of
surveyed companies from benefiting from AI:
- The top barriers hindering successful AI adoption at
enterprises both exploring or deploying AI are limited AI skills
and expertise (33%), too much data complexity (25%), ethical
concerns (23%), AI projects that are too difficult to integrate and
scale (22%), high price (21%), and lack of
tools for AI model development (21%).
Generative AI poses different barriers to entry from
traditional AI models:
- Data privacy (57%) and trust and
transparency (43%) concerns are the biggest inhibitors of
generative AI according to IT professionals at surveyed
organizations not exploring or implementing generative AI.
- 35% also say that lack of skills for implementation are a
big inhibitor.
Among surveyed organizations, AI is already having an impact
on the workforce:
- One-in-five organizations report they do not have
employees with the right skills in place to use new AI or
automation tools and 16% cannot find new hires with the
skills to address that gap.
- Among companies citing AI's use to address labor or skills
shortages, they are tapping AI to do things like reduce manual or
repetitive tasks with automation tools (55%) or automate
customer self-service answers and actions (47%).
- Only 34% are currently training or reskilling
employees to work together with new automation and AI
tools.
The need for trustworthy and governed AI is understood by IT
professionals, but barriers are making it difficult for surveyed
companies to put into practice:
- IT professionals are largely in agreement that consumers are
more likely to choose services from companies with transparent and
ethical AI practices (85% strongly or somewhat agree) and
say being able to explain how their AI reached a decision is
important to their business (83% among companies
exploring or deploying AI).
- But, with many companies already deploying AI facing multiple
barriers in the process, well under half report they
are taking key steps towards trustworthy AI like reducing
bias (27%), tracking data
provenance (37%), making sure they can explain the
decisions of their AI models (41%), or developing ethical
AI policies (44%).
Methodology:
This survey was conducted in November 2023 among a representative sample of
8,584 IT Professionals in Australia, Canada, China, France, Germany, India, Italy,
Japan, Singapore, South
Korea, Spain, UAE, UK, US
and LATAM (Argentina, Brazil, Chile, Colombia, Mexico, and Peru). To qualify for the survey, participants
must be employed full-time, work at companies with more than 1
employee, work in a manager or higher-level role, and have at least
some knowledge about how IT operates and is used by their company.
The global results have a margin of error of +/- 1 percentage
point.
About IBM:
IBM is a leading provider of global hybrid
cloud and AI, and consulting expertise. We help clients in more
than 175 countries capitalize on insights from their data,
streamline business processes, reduce costs and gain the
competitive edge in their industries. More than 4,000 government
and corporate entities in critical infrastructure areas such as
financial services, telecommunications and healthcare rely on IBM's
hybrid cloud platform and Red Hat OpenShift to affect their digital
transformations quickly, efficiently and securely. IBM's
breakthrough innovations in AI, quantum computing,
industry-specific cloud solutions and consulting deliver open and
flexible options to our clients. All of this is backed by IBM's
long-standing commitment to trust, transparency, responsibility,
inclusivity and service.
Media Contact:
Sarah
Benchaita
IBM Media Relations
sarah.benchaita@ibm.com
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SOURCE IBM