– Nearly 42% of enterprise-scale companies (1,000+ employees) surveyed reported actively adopting AI in their business.
-Another 40% are currently researching or experimenting with AI but have not deployed any models.
– However, 59% of companies surveyed that are already considering or adopting AI say they are accelerating their adoption or investment in the technology.
– The top barriers to adoption include limited AI skills and expertise (33%), data complexity being too high (25%), and ethical concerns (23%).
January 10, 2024
Armonk, New York, January 10, 2024 LONDON, Oct 23, 2020 /PRNewswire/ — According to a new study commissioned by IBM (NYSE: IBM), nearly 42% of enterprise-scale organizations (1,000+ employees) surveyed are actively using AI in their operations. Early adopters lead the way, with 59% of respondents already using AI and intending to accelerate and increase their investment in the technology. Challenges remain in the adoption of AI in the enterprise, including hiring employees with the right skills, data complexity and ethical concerns, preventing companies from adopting AI technologies in their operations.
View the interactive multimedia news release here: https://www.multivu.com/players/English/9240059-ibm-2023-global-ai-adoption-index-report/
“We are seeing early adopters who have overcome the barriers to AI adoption making further investments, indicating that they are already realizing the benefits of AI. Increasing accessibility of AI tools, increased automation of key processes and more AI being embedded into off-the-shelf business applications are the key factors driving the expansion of AI at the enterprise level,” he said. Rob Thomas“Many organizations are embracing AI in use cases where the technology will have the most immediate and significant impact, such as IT automation, digital labor and customer care,” said IBM Software senior vice president, IBM. “With 40% of companies surveyed still stuck in the sandbox, we believe 2024 will be the year they address and overcome barriers to entry, such as 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 past few years, AI adoption has remained stable among the large organizations surveyed.
- Currently, 42% of IT professionals at large organizations report that they are actively adopting AI, and an additional 40% are actively exploring the use of the technology.
- Additionally, 38% of enterprise IT professionals report that their companies are actively implementing generative AI, and a further 42% are considering it.
- Organization India (59%), UAE (58%), Singapore (53%), and China (50%) are leading the way in active use of AI compared to the lagging market. Spain (28%) Australia (29%), and France (26%).
- Financial services companies are the most likely to be using AI, with nearly half of IT professionals in the industry reporting that their companies are actively adopting AI, and 37% of IT professionals in the communications industry say their companies are adopting AI.
The majority of companies surveyed that are actively adopting or considering AI have accelerated their adoption or investment in the past 24 months.
- 59% of IT professionals at companies that have adopted or are considering AI say their organization has accelerated its AI investments or deployment in the past 24 months.
- The markets most likely to accelerate AI adoption are China (85%), India (74%) and the UAE (72%), while companies in the UK (40%), Australia (38%) and Canada (35%) are least likely to accelerate adoption.
- Among organizations considering or adopting AI, research and development (44%) and reskilling/development (39%) are the top investments in AI.
Ease of use of AI tools and the need to reduce costs and automate processes are driving AI adoption among the surveyed organizations.
- Advances in AI tools making AI more accessible (45%), the need to reduce costs and automate key processes (42%) and the increasing incorporation of AI into standard, off-the-shelf business applications (37%) are the main factors driving AI adoption.
- For IT professionals, the two most important changes in AI in recent years are easier-to-deploy solutions (43%) and the increasing prevalence of data, AI and automation skills (42%).
- The use cases driving AI adoption among surveyed companies that are currently considering or adopting AI are not exclusive and span many key areas of business operations.
- IT process automation (33%)
- Security and threat detection (26%)
- AI Oversight or Governance (25%)
- Business analytics or intelligence (24%)
- Automating document processing, understanding, and flow (24%)
- Automating customer or employee self-service answers and actions (23%)
- Business process automation (22%)
- Network process automation (22%)
- Digital work (22%)
- Marketing and sales (22%)
- scam Detection (22%)
- Search and knowledge discovery (21%)
- Human Resources/Talent Acquisition (19%)
- Financial Planning and Analysis (18%)
- Supply Chain Intelligence (18%)
The same set of barriers will prevent the next wave of companies surveyed from benefiting from AI.
- Among companies considering or adopting AI, the biggest barriers to successful AI adoption are limited AI skills and expertise (33%), data complexity being too high (25%), ethical concerns (23%), AI projects being too difficult to integrate and scale (22%), high price (21%), and a lack of tools for developing AI models (21%).
Generative AI poses a different barrier to entry than traditional AI models.
- According to IT professionals at surveyed organizations that have not yet explored or implemented generative AI, concerns about data privacy (57%) and trust and transparency (43%) are the biggest inhibitors to generative AI.
- Additionally, 35% of respondents said a lack of implementation skills was a major inhibitor.
AI is already impacting the workforce in the organizations surveyed.
- One in five companies report they don't have employees with the right skills to use new AI and automation tools, and 16% of companies can't find new hires with the skills to fill the gap.
- Among companies using AI to address labor and skills shortages, some are using it to reduce manual or repetitive tasks with automation tools (55%) or to automate customer self-service answers and actions (47%).
- Currently, only 34% of companies have trained or reskilled their employees to work with new automation and AI tools.
While IT professionals understand the need for trusted, governed AI, barriers exist that make it difficult for surveyed organizations to put it into practice.
- IT professionals largely agree 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 AI reaches a decision is important to their business (83% of companies considering or deploying AI).
- However, many companies have already adopted AI and are facing a variety of barriers along the way, with well under half reporting taking key steps towards trustworthy AI, such as mitigating bias (27%), tracking data provenance (37%), ensuring AI model decisions can be explained (41%) and developing ethical AI policies (44%).
methodology:
This survey November 2023 Of a representative sample of 8,584 IT professionals, Australia, Canada, China, France, Germany, India, Italy, Japan, Singapore, South Korea, SpainUAE, UK, US, Latin America (Argentina, Brazil, Chile, Columbia, Mexicoand Peru). To be eligible for the survey, participants must be employed full time, work for a company with one or more employees, hold a managerial title or higher, and have at least some knowledge of how IT operates and is used in their companies. Global results have a margin of error of +/- 1 percentage point.
About IBM:
IBM is a leading global provider of hybrid cloud, AI and consulting expertise. We help clients in more than 175 countries use data insights to streamline business processes, reduce costs and gain a competitive edge in their industries. More than 4,000 government agencies and enterprises in critical infrastructure sectors, including financial services, communications and healthcare, rely on IBM's hybrid cloud platform and Red Hat OpenShift to drive digital transformation quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting provide clients with open and flexible options. All of this is underpinned by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service.
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