Generative AI adoption has surged across industries, with the technology sector leading the charge at an impressive ** percent usage rate across functions in 2024. This rapid integration of AI technologies is reshaping business operations, particularly in marketing and sales, where AI has found widespread application as a creative assistance tool. However, this swift adoption has not come without challenges, as concerns about regulatory compliance have grown in tandem with the increased usage. Varied adoption rates across sectors While the technology industry stands at the forefront of generative AI adoption, other sectors are not far behind. Professional services, advanced industries, and media and telecom all report adoption rates of around ** percent across functions. Interestingly, in the tech, media, and telecom industry, IT departments lead in generative AI application usage at ** percent, followed by product development at ** percent. This trend differs in the energy, resource, and industrial sector, where operations take the lead at ** percent, with IT following at ** percent. Evolving landscape of AI implementation As organizations increasingly integrate generative AI, the landscape of implementation is evolving. Automation and agentic AI have emerged as the most intriguing technological developments for organizations in 2024. This shift is accompanied by a notable increase in technical skills related to AI, indicating broader usage. However, the rise in regulatory concerns suggests that governments and authorities are stepping up their oversight of the industry. This dual trend of increased adoption and heightened regulatory scrutiny underscores the complex environment in which AI technologies are being deployed and developed.

During a 2023 survey conducted among professionals in the United States, it was found that 37 percent of those working in advertising or marketing had used artificial intelligence (AI) to assist with work-related tasks. Healthcare, however, had the lowest rate of AI usage with only 15 percent of those asked having used it at work. The rate of adoption in marketing and advertising is understandable, as it is the industry that most weaves together art and creative mediums in its processes.

Generative AI linked to education

Those positions that require a higher level of education are most at risk of being automated with generative AI in the U.S. This is simply because those jobs that require less formal education are rarely digital positions and are more reliant on physical labor. Jobs that require tertiary education, however, are still the least likely to be automated overall, even with the added influence of generative AI.

ChatGPT has competitors

While the OpenAI-developed ChatGPT is the most well-known AI program and the currently most advanced large language model, - other competitors are catching up. While just over half of respondents in the U.S. had heard of or used ChatGPT, nearly half of respondents had also heard of or used Bing Chat. Google’s Bard was slightly behind, with only around a third of Americans having heard of or used it.

A survey conducted in the United States in 2024 shows what are the phases of GenAI adoption that each consumer goods and retail companies are in. Almost ** percent of them are in pilot mode, experimenting the tool without putting it officially to work yet. Around ** percent are in the early stages of its usage and * percent of the companies have no plans to use it yet.

Enterprise GenAI Adoption & Workforce Impact Dataset (100K+ Rows)

This dataset originates from a multi-year enterprise survey conducted across industries and countries. It focuses on the organizational effects of adopting Generative AI tools such as ChatGPT, Claude, Gemini, Mixtral, LLaMA, and Groq. The dataset captures detailed metrics on job role creation, workforce transformation, productivity changes, and employee sentiment.

Data Schema

columns = [
  "Company Name",           # Anonymized name
  "Industry",             # Sector (e.g., Finance, Healthcare)
  "Country",              # Country of operation
  "GenAI Tool",            # GenAI platform used
  "Adoption Year",           # Year of initial deployment (2022–2024)
  "Number of Employees Impacted",   # Affected staff count
  "New Roles Created",        # Number of AI-driven job roles introduced
  "Training Hours Provided",     # Upskilling time investment
  "Productivity Change (%)",     # % shift in reported productivity
  "Employee Sentiment"        # Textual feedback from employees
]

Load the Dataset

import pandas as pd

df = pd.read_csv("Large_Enterprise_GenAI_Adoption_Impact.csv")
df.shape

Basic Exploration

df.head(10)
df.describe()
df["GenAI Tool"].value_counts()
df["Industry"].unique()

Filter Examples

Filter by Year and Country

df[(df["Adoption Year"] == 2023) & (df["Country"] == "India")]

Get Top 5 Industries by Productivity Gain

df.groupby("Industry")["Productivity Change (%)"].mean().sort_values(ascending=False).head()

Text Analysis on Employee Sentiment

Word Frequency Analysis

from collections import Counter
import re

text = " ".join(df["Employee Sentiment"].dropna().tolist())
words = re.findall(r'\b\w+\b', text.lower())
common_words = Counter(words).most_common(20)
print(common_words)

Sentiment Length Distribution

df["Sentiment Length"] = df["Employee Sentiment"].apply(lambda x: len(x.split()))
df["Sentiment Length"].hist(bins=50)

Group-Based Insights

Role Creation by Tool

df.groupby("GenAI Tool")["New Roles Created"].mean().sort_values(ascending=False)

Training Hours by Industry

df.groupby("Industry")["Training Hours Provided"].mean().sort_values(ascending=False)

Sample Use Cases

• Evaluate GenAI adoption patterns by sector or region
• Analyze workforce upskilling initiatives and investments
• Explore employee reactions to AI integration using NLP
• Build models to predict productivity impact based on tool, industry, or country
• Study role creation trends to anticipate future AI-based job market shifts

The functions related to product development, IT and cybersecurity, and marketing, sales and customer service are where most of the generative AI (GenAI) adoption is concentrated in global organizations. The use of the technology is the highest in higher levels of expertise. Over ** percent and ** percent of the respondents, with respectively high expertise and very high expertise, report to be using generative AI in a limited or at-scale implementation.

In 2024, around ** percent of respondents working in healthcare organizations reported that their organization was at mid-stage adoption of generative AI, with multiple solutions running in production. A further ** percent stated that their organization was at early-stage adoption, which indicated a first solution running in production as a customer-facing or mission-critical system.

During a 2022 survey conducted among professionals in the United States, it was found that 29 percent of respondents belonging to Gen Z used generative AI tools. Moreover, 28 percent of Gen X and 27 percent of millennials respondents used such tools, respectively.

Generative AI

Generative artificial intelligence (AI) refers to algorithms that focus on producing new content, such as text, images, music, speech, code, or video. Generative AI is part of deep learning, the machine learning branch which aims to reduce the manual work of programming parameters for AI. Currently, researchers and developers use generative AI in various industries, like advertising and marketing, but rumors suggest that more businesses and consumers will adopt this technology in the near future to perform a wide range of tasks.

ChatGPT

An example of generative AI is ChatGPT, the famous chatbot software launched in November 2022 by the American startup OpenAI, which is also well known for its art generative AI program Dall-E. The chatbot can produce text based on given inputs, recognize mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT has quickly gained popularity, becoming one of the major breakthroughs of the last few decades in the technology industry. Indeed, it was the fastest IoT service to accumulate a one-million user base, in only five days.

The Enterprise AI market is experiencing explosive growth, projected to reach $38.19 billion in 2025 and maintain a remarkable Compound Annual Growth Rate (CAGR) of 52.17% from 2025 to 2033. This surge is driven by several key factors. Firstly, the increasing availability and affordability of powerful computing resources, including cloud computing and specialized AI hardware like GPUs, are lowering the barrier to entry for businesses of all sizes. Secondly, a growing recognition of AI's potential to automate processes, enhance decision-making, and improve customer experiences is fueling widespread adoption. Thirdly, advancements in machine learning algorithms, natural language processing, and computer vision are enabling the development of more sophisticated and effective AI solutions for a wide range of enterprise applications, from predictive maintenance and fraud detection to personalized marketing and customer service chatbots. Finally, the competitive landscape, populated by tech giants like IBM, Oracle, Microsoft, and Amazon, alongside innovative startups, fosters continuous innovation and drives down prices, making AI more accessible. However, the market also faces challenges. Data security and privacy concerns remain significant hurdles, particularly with the increasing reliance on sensitive data for AI training and operation. The need for skilled AI professionals also represents a bottleneck, hindering faster adoption and deployment. Furthermore, the integration of AI systems into existing enterprise infrastructures can be complex and costly, requiring substantial investments in both technology and expertise. Despite these obstacles, the long-term outlook for the Enterprise AI market remains exceptionally positive, driven by the continuous development of more robust, reliable, and user-friendly AI solutions and the increasing understanding of their value across diverse industries. The forecast period of 2025-2033 promises to be a period of significant transformation, with AI becoming increasingly integrated into the core operations of businesses worldwide. Recent developments include: June 2024: HCLTech, a prominent global technology firm, unveiled the HCLTech Enterprise AI Foundry. This initiative aims to streamline and expand enterprise AI endeavors. The comprehensive suite merges data engineering and AI with cognitive infrastructure, propelling a transformation driven by Generative AI (GenAI) throughout business value chains., June 2024: Persistent Systems, a global firm in Digital Engineering and Enterprise Modernization, has introduced GenAI Hub, an innovative platform aimed at accelerating the development and deployment of Generative AI (GenAI) applications within enterprises. This platform seamlessly integrates with an organization's existing infrastructure, applications, and data, enabling the rapid creation of customized, industry-specific GenAI solutions. GenAI Hub also supports the adoption of GenAI across various Large Language Models (LLMs) and cloud platforms, ensuring no provider lock-in.. Key drivers for this market are: Increasing Demand for Automation and AI-based Solutions, Increasing Need to Analyze Exponentially Growing Data Sets. Potential restraints include: Increasing Demand for Automation and AI-based Solutions, Increasing Need to Analyze Exponentially Growing Data Sets. Notable trends are: Cloud Deployment is Expected to Experience a Significant Market Growth.

Generative AI Market size is valued at around USD 28.9 billion in 2024 and is estimated to reach around USD 142.7 billion by 2030. Along with a CAGR of 31.2%.

According to a 2024 survey on generative artificial intelligence (GenAI) adoption, over half of the surveyed C-suite executives from the media and entertainment sector in India reported that GenAI was most effective in cost reduction. Other areas where GenAI made a positive impact were customer and employee satisfaction and revenue increase. Meanwhile, ** percent of the respondents reported GenAI not having made an impact.

A September 2024 study, conducted among business decision makers from the media and entertainment industry worldwide, shows that almost two-thirds of respondents believed that GenAI adoption in their business created a chance to speed up content and media production. A further 55 percent thought that GenAI usage posed an opportunity to reduce production costs.

The General AI Use Case Market is projected to grow from USD 8.19 billion in 2025 to USD 75.05 billion by 2033, at a CAGR of 18.17% from 2025 to 2033. Growing adoption of AI across industries, increasing demand for customer support automation, and advancements in natural language processing (NLP) are driving the growth of the market. The deployment of AI in various applications, such as customer support automation, content generation, data analysis, and personalized marketing, is fueling market expansion. The market is segmented based on application area, deployment model, user type, technology type, service type, and region. The customer support automation segment held the largest market share in 2025, owing to the increasing need for automated customer support systems to provide quick and efficient assistance. The cloud-based deployment model segment is expected to dominate the market during the forecast period due to its cost-effectiveness and scalability. The market is dominated by North America and Asia Pacific, with North America being the larger market. Growth in the Asia Pacific region is attributed to the increasing adoption of AI by businesses in emerging economies, such as China and India. Key drivers for this market are: Content personalization solutions Business process automation AI-driven customer support Data analytics enhancement Generative design in manufacturing. Potential restraints include: AI advancements and innovations Increasing demand for automation Rising adoption across industries Enhanced data-driven decision-making Regulatory and ethical considerations..

Generative AI adoption has surged across consumer industries, with the retail sector leading the charge. While agriculture employee adoption had the lowest rate within the consumer industries at about ** percent.

The AI as a Service (AIaaS) market is experiencing explosive growth, projected to reach $15.09 billion in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 36.78%. This rapid expansion is driven by several key factors. Firstly, the increasing adoption of cloud computing provides the scalable infrastructure necessary for AIaaS solutions. Businesses, regardless of size, can now access sophisticated AI capabilities without significant upfront investments in hardware and specialized expertise. Secondly, the growing need for data-driven decision-making across various industries fuels demand. AIaaS platforms offer advanced analytics and predictive modeling capabilities, enabling organizations in sectors like BFSI (Banking, Financial Services, and Insurance), retail, healthcare, and manufacturing to optimize operations, improve customer experiences, and gain a competitive edge. Finally, the continuous advancements in AI algorithms and the development of user-friendly interfaces are making AIaaS more accessible and easier to integrate into existing business workflows. Looking ahead, the AIaaS market is poised for continued expansion throughout the forecast period (2025-2033). While the exact market size for future years requires deeper analysis, we can reasonably anticipate significant growth based on the current trajectory. The segmentations reveal valuable insights: The cloud-based deployment model (public, private, and hybrid) will dominate due to its flexibility and scalability. Large enterprises will lead in adoption due to their greater resources, but the SME sector is also expected to show significant growth as AIaaS becomes increasingly cost-effective. Industry-wise, BFSI and healthcare will remain major drivers, though sectors like retail and manufacturing will see substantial increases in adoption rates as they leverage AI for improved efficiency and personalized customer experiences. Key players like Microsoft, Google, Amazon, and IBM will likely continue to dominate the market, but smaller, specialized AIaaS providers will also carve out niches and contribute to the overall market expansion. Recent developments include: June 2024: Tata Consultancy Services Ltd (TCS) launched TCS AI WisdomNext, an AI platform from its newly established AI.Cloud division, enabling clients to adopt advanced technologies like generative AI (GenAI) affordably. This launch aligns with the broader trend of IT firms pivoting towards GenAI. Notably, TCS, headquartered in Mumbai, was the pioneer among Indian IT firms to consolidate its AI and cloud divisions into the unified entity, AI.Cloud., May 2024: SK Telecom Co., a mobile carrier in South Korea, is launching tailored services that link prominent large language models (LLMs) with the systems of corporate clients. This move is part of SK Telecom's strategy to pivot towards AI-driven growth avenues, especially as its traditional telecom business reaches saturation. In the upcoming third quarter, SK Telecom will debut a corporate AI minutes service, allowing clients to select their preferred LLMs over a predetermined deep learning algorithm.. Key drivers for this market are: Increasing Demand for Predictive and Analytics Solutions, Rising Demand for Enhancing Consumer Experience. Potential restraints include: Increasing Demand for Predictive and Analytics Solutions, Rising Demand for Enhancing Consumer Experience. Notable trends are: Increasing Demand for Predictive and Analytics Solutions is Expected to Drive Market Growth.

The AI in Security market is experiencing explosive growth, projected to reach $25.22 billion in 2025 and maintain a robust Compound Annual Growth Rate (CAGR) of 19.02% from 2025 to 2033. This expansion is driven by several key factors. The increasing sophistication of cyber threats necessitates advanced security solutions, with AI offering a powerful means to detect and respond to previously unseen attacks in real-time. Furthermore, the burgeoning adoption of cloud computing and the Internet of Things (IoT) exponentially expands the attack surface, making AI-powered security solutions critical for organizations across all sectors. The market is segmented by security type (network, application, cloud), service (professional, managed), deployment (on-premise, cloud), and end-user industry (government, retail, BFSI, manufacturing, healthcare, automotive). The robust growth is fueled by substantial investments in R&D by major technology players, coupled with growing awareness among organizations of the need for proactive and adaptive security measures. This market is competitive, with established technology companies like IBM, Cisco, and others alongside specialized security firms aggressively vying for market share. The North American market currently holds a significant share, given its advanced technological infrastructure and high adoption rates of cloud services. However, the Asia-Pacific region is anticipated to witness the fastest growth in the coming years, driven by increasing digitalization and government initiatives to bolster cybersecurity infrastructure in countries like China and India. Europe is also expected to experience substantial growth, although at a slightly slower pace compared to Asia-Pacific. While the adoption of AI in security offers substantial benefits, challenges remain such as the need for skilled professionals to manage and maintain these complex systems, along with concerns regarding data privacy and potential biases in AI algorithms. Overcoming these challenges will be crucial for sustained market growth and broader adoption across all industries. Recent developments include: May 2024: Palo Alto Networks introduced new security solutions to help enterprises thwart AI-generated attacks and effectively secure AI by design. Leveraging Precision AI, the new proprietary innovation that combines the best of machine learning (ML) and deep learning (DL) with the accessibility of generative AI (GenAI) in real time, the international cybersecurity player is expected to deliver AI-powered security that can outpace adversaries and more proactively protect networks and infrastructure., April 2024: G42, the UAE-based artificial intelligence (AI) technology holding company, and Microsoft Corp. announced a USD 1.5 billion strategic investment by Microsoft in G42. The investment will strengthen the two companies' collaboration on bringing the latest Microsoft AI technologies and skilling initiatives to the UAE and other countries worldwide. This expanded collaboration will empower organizations of all sizes in new markets to Microsoft's benefits of AI and the cloud while ensuring they adopt AI that adheres to world-leading standards and security.. Key drivers for this market are: Increasing Number of Security Frauds and Technology Penetration, Increasing Number of Malware Attacks (Ransomware) Across Cloud Computing Ecosystem. Potential restraints include: Increasing Number of Security Frauds and Technology Penetration, Increasing Number of Malware Attacks (Ransomware) Across Cloud Computing Ecosystem. Notable trends are: The Healthcare Sector is Significantly Driving Market Growth.

The AI Studio Market is poised for significant growth, driven by factors such as the increasing adoption of AI solutions across industries, government initiatives supporting AI development, and the availability of open-source AI tools. The market is expected to reach a value of USD 6.12 billion by 2023, growing at a CAGR of 40.1% from 2023 to 2033. This growth is attributed to the rising demand for AI-based solutions in industries such as BFSI, retail, manufacturing, and healthcare. Key market trends include the increasing adoption of cloud-based AI solutions, the growing popularity of AI-powered chatbots, and the emergence of AI-driven data analytics tools. Additionally, the increasing demand for AI professionals is driving the growth of the AI Studio Market, as organizations look to build internal teams capable of developing and deploying AI solutions. Key players in the AI Studio Market include Microsoft, IBM, Google, AWS, and Vonage. These companies offer a range of AI Studio solutions, including cloud-based platforms, software tools, and consulting services. AI Studio Market The AI Studio Market is projected to reach [value] billion by 2028, exhibiting a CAGR of [percentage] during the forecast period. Recent developments include: In June 2024, Writer, the comprehensive generative AI platform tailored for enterprises, introduced Writer AI Studio, a suite of innovative development tools designed to streamline the process for business users and developers in leveraging generative AI to transform workflows. This suite addresses a significant challenge that has hindered the adoption of generative AI: enabling collaboration between business users, who possess crucial data, expertise, and context, and AI engineers to tackle the final stages of AI application development effectively. , In June 2024, Ascendion, a foremost provider of digital engineering solutions, unveiled its GenAI Studio in Chennai, designed as a hub for gathering, collaboration, and innovation, shaping the future. This cutting-edge studio and engineering workspace reflect the increasing need for Generative AI and underscore Ascendion's continued leadership in the evolving GenAI domain. , In May 2024, Code for America Labs, Inc., a nonprofit organization focused on civic technology, unveiled its AI studio aimed at assisting governments in implementing human-centered AI. As part of this initiative, the organization will conduct workshops to discuss the potential and ethical implications of integrating AI systems into government operations. These workshops, available both in-person and virtually, will emphasize the significance of starting with pilot projects, conducting thorough testing, and gradually expanding AI adoption to prevent marginalized communities from being overlooked. .

The AI in Accounting market is experiencing explosive growth, projected to reach $4.73 billion in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 41.27%. This surge is driven by several key factors. Firstly, the increasing volume and complexity of financial data necessitate automation and efficiency improvements. AI-powered solutions offer sophisticated capabilities in data entry, analysis, auditing, and fraud detection, significantly reducing manual workload and human error. Secondly, the rising adoption of cloud-based accounting software provides a scalable and accessible platform for integrating AI functionalities. Businesses, especially SMEs seeking streamlined operations and cost reductions, are readily embracing these technologies. Finally, advancements in machine learning and natural language processing are continually enhancing the accuracy and efficiency of AI-driven accounting tools, creating a virtuous cycle of innovation and adoption. The market is segmented by component (software and services), deployment (on-premise and cloud), and organization size (SMEs and large enterprises), with cloud-based solutions and large enterprise adoption currently leading the market. While initial investment costs and data security concerns represent some challenges, the long-term benefits of enhanced productivity, improved accuracy, and reduced operational expenses are driving widespread market penetration across North America, Europe, and Asia, among other regions. The competitive landscape features a mix of established players like Xero, Intuit, and Sage, alongside emerging technology providers, fostering innovation and diverse product offerings. The Japanese market, a key focus within the global AI in Accounting sector, mirrors the overall upward trend. Its robust economic structure and commitment to technological advancement fuel the demand for AI-powered accounting solutions. While specific market size figures for Japan are not provided, it’s reasonable to assume significant growth based on the country’s advanced technological adoption rate and strong emphasis on efficiency and accuracy in financial operations. The adoption of cloud solutions is anticipated to be particularly strong in Japan, given its developed digital infrastructure. The competitive landscape in Japan includes both international and domestic players, resulting in a dynamic market with a wide range of solutions tailored to local business needs. Challenges such as regulatory compliance and workforce adaptation to new technologies remain, but the overall outlook for the AI in Accounting market within Japan is one of strong, sustained growth, aligning with the global trend. Recent developments include: May 2024 - Accenture and Oracle announced a strategic collaboration aimed at accelerating the adoption of Generative AI (GenAI) in the financial sector. This partnership's primary objective is to assist organizations in maximizing the value of their data through the utilization of Oracle Cloud Infrastructure (OCI) Generative AI., February 2024 - Sage Group PLC introduced its new generative AI-powered productivity assistant, set to revolutionize accounting, finance, and people management processes and empower customers to make smarter business decisions. For small business owners, CFOs, accountants, and HR leaders, Sage Copilot will act as a trusted team member, handling administrative and repetitive tasks in 'real-time.' The AI-powered assistant automates workflows, identifies errors, and generates actionable insights that are unique to each business and accountant's practice.. Key drivers for this market are: Natural Language Processing Technology to Drive the Market Growth. Potential restraints include: Natural Language Processing Technology to Drive the Market Growth. Notable trends are: Growth in the Construction Sector Boosting the Demand for Furniture Products.

The cloud storage market, valued at $117.12 billion in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 24% from 2025 to 2033. This explosive growth is fueled by several key drivers. The increasing adoption of cloud computing across diverse industries, including BFSI (Banking, Financial Services, and Insurance), retail, healthcare, and media & entertainment, is a primary catalyst. Businesses are increasingly migrating their data to the cloud to leverage benefits such as scalability, cost-effectiveness, enhanced security, and improved data accessibility. Furthermore, the rising volume of data generated by businesses and consumers necessitates robust and scalable storage solutions, driving demand for cloud storage services. The market is witnessing a shift towards hybrid cloud models, combining the benefits of public and private cloud deployments, to achieve optimal performance and security. Technological advancements, such as the development of more efficient storage technologies and improved data analytics capabilities, are also contributing to market expansion. However, certain restraints are present. Concerns about data security and privacy remain significant hurdles for widespread cloud adoption, particularly in regulated sectors. The complexity of managing cloud storage environments and the associated costs can also deter some businesses. Despite these challenges, the long-term outlook for the cloud storage market remains extremely positive. The continued digital transformation across industries and the escalating need for data storage and management will ensure the market's sustained growth trajectory for the forecast period. Major players like Google Cloud, AWS, Microsoft Azure, and others are constantly innovating and expanding their offerings, further intensifying competition and accelerating market expansion. Geographic expansion, especially in emerging economies, presents a significant opportunity for growth. Recent developments include: May 2024 - Hitachi, Ltd., and Google Cloud have unveiled a multi-year collaboration aimed at boosting enterprise innovation and efficiency through generative AI. Hitachi is set to establish a dedicated business unit, leveraging Gemini models, Vertex AI, and other cloud solutions to address industry hurdles. Moreover, Hitachi plans to integrate Google Cloud's AI capabilities into its offerings. This strategic alliance propels the growth of Hitachi's Lumada digital business and drives operational enhancements across the Hitachi Group., May 2024 - NetApp, a data infrastructure company, has broadened its collaboration with Google Cloud, simplifying data utilization for generative AI (GenAI) and hybrid cloud tasks. The partnership introduces the Flex service level for Google Cloud NetApp Volumes, accommodating storage volumes of varied sizes. Additionally, NetApp has unveiled a preview of its GenAI toolkit reference architecture, tailored for retrieval-augmented generation (RAG) tasks on the Google Cloud Vertex AI platform.. Key drivers for this market are: Increase in Cloud Adoption Across Organizations, Growing Demand for Low-cost Storage and .Faster Data Accessibility. Potential restraints include: Increase in Cloud Adoption Across Organizations, Growing Demand for Low-cost Storage and .Faster Data Accessibility. Notable trends are: BFSI Expected to Hold a Significant Share.

The adoption of generative artificial intelligence (GenAI) is expected to have a significant economic impact on organizations worldwide as of 2023. The industry anticipating the most significant impact was the high-tech industry, forecasting a minimum increase of approximately *** percent of its global revenue and a maximum increase of *** percent of the industry's total revenue.

In 2023, the most popular perspective on the impacts of generative AI on the legal sector in the United Kingdom was that increased productivity would mean more time spent on chargeable work. ** percent of the top 10 law firms in the United Kingdom gave this as their answer. Meanwhile, ** percent of respondents thought that there would be a significant reduction in demand from clients, leading to declining revenues across the legal sector.