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Yahoo
7 hours ago
- Business
- Yahoo
Investment Opportunities in the $56.3 Billion AI Platforms Market 2025-2030 - Machine Learning Tops AI Platforms Technology, Accounting for 41.2% Share in 2024
The AI Platforms market offers opportunities in automation & efficiency enhancement, with machine learning leading by technology. Healthcare shows rapid growth potential, driven by AI's role in diagnostics and personalized treatment. Artificial Intelligence (AI) Platform Market Dublin, Aug. 21, 2025 (GLOBE NEWSWIRE) -- The "Artificial Intelligence (AI) Platform Market - Technologies, Deployment Types, Company Types and Industry Sectors" has been added to offering. The global AI Platforms market, valued at US$11.3 billion in 2024, is anticipated to surge to US$56.3 billion by 2030, propelled by an impressive CAGR of 30.8%. Enterprises increasingly demand automation, efficiency, and cost-effectiveness, fuelling this growth. With over 80% of businesses integrating AI strategies, platforms that analyze extensive data from IoT devices, social media, and other digital avenues are in high demand. Enhanced capabilities in machine learning (ML) and deep learning, as demonstrated by companies like Google with neural networks for route optimization, are elevating platform intelligence significantly. Major cloud providers like Microsoft Azure, AWS Bedrock, and Google Vertex AI are breaking barriers by supplying scalable, ready-to-use AI solutions, enabling smaller firms to adopt AI without hefty upfront costs. AI-as-a-Service (AIaaS) offerings are emerging as the go-to strategy for companies endeavoring to infuse AI capabilities, with AWS, Microsoft, and Google pioneering this domain. AI Platforms Regional Market Analysis North America is projected to hold the largest market share, accounting for about 36.2% of revenue in 2024. The region benefits from hosting AI leaders such as Microsoft Azure, AWS, and Google Cloud, alongside ample AI talent and a conducive regulatory environment. The federal AI initiative and substantial venture capital are fostering growth. Conversely, Asia-Pacific is poised for the swiftest growth at a CAGR of 34.6% from 2024 to 2030. Government-supported frameworks like China's AI Development Plan and India's #AIforAll are propelling AI adoption across the region. High digital penetration, rapid cloud acquisition, and a lively startup scene in markets like China and India bolster this trend. Affordable AIaaS solutions and elevated SME adoption are additional growth drivers. AI Platforms Market Analysis by Technology ML, commanding a 41.2% share in 2024, remains the foremost technology in the global AI Platforms market. Its utility spans across finance, healthcare, retail, and manufacturing. ML's adeptness at managing diverse data types, with support from TensorFlow and PyTorch, maintains its vital role in automation and predictive analytics, also underpinning domains like computer vision and Natural Language Processing (NLP). NLP, forecasting an impressive CAGR of 33.8% between 2024-2030, is driven by needs for conversational AI and real-time language processing. Emerging capabilities in text generation and multilingual comprehension are further amplified by advances in transformer-based models. Cloud APIs and low-code aids extend NLP's accessibility. New use cases across legal, healthcare, and education reinforce NLP as a critical technology in AI market evolution. AI Platforms Market Analysis by Deployment Type Cloud deployment is anticipated to dominate, with a 63% share in 2024, and exhibit the fastest growth at a 33% CAGR through 2030. The cloud's elasticity affords extensive computational access without large initial expenditures. AIaaS from AWS, Azure, and Google Cloud reduces entry barriers with prebuilt models and APIs, thereby democratizing sophisticated AI tool access. Cloud adoption circumvents substantial capital projects, fosters centralized storage, real-time info accessibility, and enhances global team collaboration. Cloud solutions enable rapid prototype development, reduce market entry times, and support IoT advancements. With around 70% of enterprises utilizing public cloud amenities, sectors like healthcare, finance, and retail employ cloud-AI for analytics, chatbots, and tailored engagements. AI Platforms Market Analysis by Company Type Large enterprises are set to account for a predominant share of 63.3% in 2024. Their resource capacity for AI-foundation investments allows them to exploit AI for complexities like fraud detection and supply chain optimization. SME segments anticipate the quickest expansion, with an estimated CAGR of 34.8%, enabled by Google Cloud AI, AWS SageMaker, and accessible low-code tools like and DataRobot facilitating AI integration with minimal technical expertise. CRM solutions from entities like Salesforce Einstein augment AI adoption among SMEs. AI Platforms Market Analysis by Industry Sector The BFSI sector remains the most extensive, contributing an 18.6% share in 2024. The industry thrives on AI for real-time fraud detection and operational efficiencies. Key players like JPMorgan Chase leverage AI for customized offerings. Meanwhile, Healthcare emerges as the fastest expanding sector with a 36.3% CAGR between 2024 and 2030. AI transformations encompass diagnostics, personalized caregiving, and patient supervision. A surge in healthcare data accelerates AI platform utilization for predictive assessments and clinical decisions. Government initiatives and burgeoning use cases across medical procedures are advancing AI's healthcare adoption. Report Scope This report scrutinizes AI Platforms across global and regional markets, classifying insights by Technology, Deployment Type, Company Type, and Industry Sector from 2021-2030, with forecasts extended from 2024-2030. It includes corporate profiles and industry progressions, elucidating the market's trajectory. Key Metrics Historical Period: 2021-2024 Base Year: 2024 Forecast Period: 2024-2030 Units: Value market in US$ Companies Mentioned: 30+ Adobe Inc. Amazon Web Services, Inc. Baidu Inc. Inc. Clarifai Dell Technologies Inc. Databricks Inc. DataRobot Inc. Exlservice Holdings Inc. Google LLC Hewlett Packard Enterprise Co. International Business Machines Corp. (IBM) Infogain Infosys Ltd. Intel Corporation Meta Platforms Inc. Microsoft Corporation Mixpanel New Relic Inc. NVIDIA Corporation OpenAI Optimizely Oracle Corporation Palantir Technologies Inc. Qualcomm Technologies, Inc. Salesforce, Inc. ServiceNow Inc. SAS Institute Inc. SoundHound AI Symphony AI Wipro Ltd. AI Platforms Market by Geographic Region North America (The United States, Canada, Mexico) Europe (Germany, UK, France, Italy, Netherlands, Spain, Russia, Switzerland, Rest of Europe) Asia-Pacific (China, Japan, India, Australia, Singapore, South Korea, Rest of Asia-Pacific) South America (Brazil, Argentina, Colombia, Chile, Peru, Rest of South America) Middle East & Africa (UAE, South Africa, Egypt, Saudi Arabia, Morocco, Kuwait, Qatar, Rest of Middle East & Africa) AI Platforms Market by Technology Machine Learning (ML) Natural Language Processing (NLP) Deep Learning Computer Vision Robotic Process Automation (RPA) AI Platforms Market by Deployment Type Cloud On-Premise AI Platforms Market by Company Type Large Enterprises Small & Medium-sized Enterprises (SMEs) AI Platforms Market by Industry Sector BFSI (Banking, Financial Services, Insurance) IT & Telecom Manufacturing Government Healthcare Retail & Ecommerce Energy & Utilities Transportation Education Others Key Attributes Report Attribute Details No. of Pages 459 Forecast Period 2024-2030 Estimated Market Value (USD) in 2024 $11.3 Billion Forecasted Market Value (USD) by 2030 $56.3 Billion Compound Annual Growth Rate 30.8% Regions Covered Global For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment Artificial Intelligence (AI) Platform Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900
Yahoo
7 hours ago
- Business
- Yahoo
Investment Opportunities in the $56.3 Billion AI Platforms Market 2025-2030 - Machine Learning Tops AI Platforms Technology, Accounting for 41.2% Share in 2024
The AI Platforms market offers opportunities in automation & efficiency enhancement, with machine learning leading by technology. Healthcare shows rapid growth potential, driven by AI's role in diagnostics and personalized treatment. Artificial Intelligence (AI) Platform Market Dublin, Aug. 21, 2025 (GLOBE NEWSWIRE) -- The "Artificial Intelligence (AI) Platform Market - Technologies, Deployment Types, Company Types and Industry Sectors" has been added to offering. The global AI Platforms market, valued at US$11.3 billion in 2024, is anticipated to surge to US$56.3 billion by 2030, propelled by an impressive CAGR of 30.8%. Enterprises increasingly demand automation, efficiency, and cost-effectiveness, fuelling this growth. With over 80% of businesses integrating AI strategies, platforms that analyze extensive data from IoT devices, social media, and other digital avenues are in high demand. Enhanced capabilities in machine learning (ML) and deep learning, as demonstrated by companies like Google with neural networks for route optimization, are elevating platform intelligence significantly. Major cloud providers like Microsoft Azure, AWS Bedrock, and Google Vertex AI are breaking barriers by supplying scalable, ready-to-use AI solutions, enabling smaller firms to adopt AI without hefty upfront costs. AI-as-a-Service (AIaaS) offerings are emerging as the go-to strategy for companies endeavoring to infuse AI capabilities, with AWS, Microsoft, and Google pioneering this domain. AI Platforms Regional Market Analysis North America is projected to hold the largest market share, accounting for about 36.2% of revenue in 2024. The region benefits from hosting AI leaders such as Microsoft Azure, AWS, and Google Cloud, alongside ample AI talent and a conducive regulatory environment. The federal AI initiative and substantial venture capital are fostering growth. Conversely, Asia-Pacific is poised for the swiftest growth at a CAGR of 34.6% from 2024 to 2030. Government-supported frameworks like China's AI Development Plan and India's #AIforAll are propelling AI adoption across the region. High digital penetration, rapid cloud acquisition, and a lively startup scene in markets like China and India bolster this trend. Affordable AIaaS solutions and elevated SME adoption are additional growth drivers. AI Platforms Market Analysis by Technology ML, commanding a 41.2% share in 2024, remains the foremost technology in the global AI Platforms market. Its utility spans across finance, healthcare, retail, and manufacturing. ML's adeptness at managing diverse data types, with support from TensorFlow and PyTorch, maintains its vital role in automation and predictive analytics, also underpinning domains like computer vision and Natural Language Processing (NLP). NLP, forecasting an impressive CAGR of 33.8% between 2024-2030, is driven by needs for conversational AI and real-time language processing. Emerging capabilities in text generation and multilingual comprehension are further amplified by advances in transformer-based models. Cloud APIs and low-code aids extend NLP's accessibility. New use cases across legal, healthcare, and education reinforce NLP as a critical technology in AI market evolution. AI Platforms Market Analysis by Deployment Type Cloud deployment is anticipated to dominate, with a 63% share in 2024, and exhibit the fastest growth at a 33% CAGR through 2030. The cloud's elasticity affords extensive computational access without large initial expenditures. AIaaS from AWS, Azure, and Google Cloud reduces entry barriers with prebuilt models and APIs, thereby democratizing sophisticated AI tool access. Cloud adoption circumvents substantial capital projects, fosters centralized storage, real-time info accessibility, and enhances global team collaboration. Cloud solutions enable rapid prototype development, reduce market entry times, and support IoT advancements. With around 70% of enterprises utilizing public cloud amenities, sectors like healthcare, finance, and retail employ cloud-AI for analytics, chatbots, and tailored engagements. AI Platforms Market Analysis by Company Type Large enterprises are set to account for a predominant share of 63.3% in 2024. Their resource capacity for AI-foundation investments allows them to exploit AI for complexities like fraud detection and supply chain optimization. SME segments anticipate the quickest expansion, with an estimated CAGR of 34.8%, enabled by Google Cloud AI, AWS SageMaker, and accessible low-code tools like and DataRobot facilitating AI integration with minimal technical expertise. CRM solutions from entities like Salesforce Einstein augment AI adoption among SMEs. AI Platforms Market Analysis by Industry Sector The BFSI sector remains the most extensive, contributing an 18.6% share in 2024. The industry thrives on AI for real-time fraud detection and operational efficiencies. Key players like JPMorgan Chase leverage AI for customized offerings. Meanwhile, Healthcare emerges as the fastest expanding sector with a 36.3% CAGR between 2024 and 2030. AI transformations encompass diagnostics, personalized caregiving, and patient supervision. A surge in healthcare data accelerates AI platform utilization for predictive assessments and clinical decisions. Government initiatives and burgeoning use cases across medical procedures are advancing AI's healthcare adoption. Report Scope This report scrutinizes AI Platforms across global and regional markets, classifying insights by Technology, Deployment Type, Company Type, and Industry Sector from 2021-2030, with forecasts extended from 2024-2030. It includes corporate profiles and industry progressions, elucidating the market's trajectory. Key Metrics Historical Period: 2021-2024 Base Year: 2024 Forecast Period: 2024-2030 Units: Value market in US$ Companies Mentioned: 30+ Adobe Inc. Amazon Web Services, Inc. Baidu Inc. Inc. Clarifai Dell Technologies Inc. Databricks Inc. DataRobot Inc. Exlservice Holdings Inc. Google LLC Hewlett Packard Enterprise Co. International Business Machines Corp. (IBM) Infogain Infosys Ltd. Intel Corporation Meta Platforms Inc. Microsoft Corporation Mixpanel New Relic Inc. NVIDIA Corporation OpenAI Optimizely Oracle Corporation Palantir Technologies Inc. Qualcomm Technologies, Inc. Salesforce, Inc. ServiceNow Inc. SAS Institute Inc. SoundHound AI Symphony AI Wipro Ltd. AI Platforms Market by Geographic Region North America (The United States, Canada, Mexico) Europe (Germany, UK, France, Italy, Netherlands, Spain, Russia, Switzerland, Rest of Europe) Asia-Pacific (China, Japan, India, Australia, Singapore, South Korea, Rest of Asia-Pacific) South America (Brazil, Argentina, Colombia, Chile, Peru, Rest of South America) Middle East & Africa (UAE, South Africa, Egypt, Saudi Arabia, Morocco, Kuwait, Qatar, Rest of Middle East & Africa) AI Platforms Market by Technology Machine Learning (ML) Natural Language Processing (NLP) Deep Learning Computer Vision Robotic Process Automation (RPA) AI Platforms Market by Deployment Type Cloud On-Premise AI Platforms Market by Company Type Large Enterprises Small & Medium-sized Enterprises (SMEs) AI Platforms Market by Industry Sector BFSI (Banking, Financial Services, Insurance) IT & Telecom Manufacturing Government Healthcare Retail & Ecommerce Energy & Utilities Transportation Education Others Key Attributes Report Attribute Details No. of Pages 459 Forecast Period 2024-2030 Estimated Market Value (USD) in 2024 $11.3 Billion Forecasted Market Value (USD) by 2030 $56.3 Billion Compound Annual Growth Rate 30.8% Regions Covered Global For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment Artificial Intelligence (AI) Platform Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Cision Canada
11-07-2025
- Business
- Cision Canada
ZTE CDO Cui Li Highlights Efficient and Green AI as a Driver of SDGs Progress at AI for Good Global Summit
GENEVA, July 11, 2025 /CNW/ -- ZTE Corporation ( / a global leading provider of integrated information and communication technology solutions, announced that Cui Li, the company's Chief Development Officer (CDO), was invited to attend the workshop themed "Navigating the Intersect of AI, Environment and Energy for a Sustainable Future" at the AI for Good Global Summit 2025 held in Geneva. During the session, she delivered a speech titled "Accelerating Progress Towards SDGs with AI-powered New Paradigm," where she shared ZTE's innovative efforts to drive efficient and green AI, and to deepen the integration of AI with ICT technologies and products, with the goal of accelerating AI accessibility and low-carbon transformation of society. Cui Li observed that the latest AI surge, driven by large language models, is sweeping the world at incredible speed. This rapid advance is accompanied by soaring computing demands and surging energy consumption. Achieving sustainable AI has therefore become an industry-wide imperative, and the key lies in defining a clear and efficient pathway. Framing the issue from two perspectives—"Energy for AI" and "AI for Energy"—she outlined how companies can scale AI in a greener, more efficient manner and, in turn, harness AI to drive an energy transition that cuts costs, improves efficiency, and supports a low-carbon future. In terms of "Energy for AI," Cui Li emphasized that the industry faces an "Inverted Triangle Dilemma" and efficiency holds the key to solving the dilemma. In response, ZTE is tackling the issue on three levels—developing efficient infrastructure, enabling efficient intelligence enhancement, and accelerating impact through efficiency—collectively driving the efficient and green development of AI. With respect to "AI for Energy," she highlighted that under the core strategy of "AI for All," ZTE has deeply integrated AI with its ICT technologies and products to build full-stack intelligent solutions. The company is now deploying AI capabilities across industrial, household and consumer scenarios, enabling cost-efficiency, operational gains and a lower-carbon trajectory for the wider economy.
Time of India
07-07-2025
- Business
- Time of India
Only 1 in 5 Indian youth is AI-skilled: Latest report flags massive opportunity gap
A report supported by and Asian Development Bank (ADB) has unveiled the major skill gap among Indian youth as the country races to transition to an AI-driven economy. The study reveals that only 1 in 5 young adults in India have participated in AI-skilling programmes, exposing a significant population to the risk of job displacement and missed opportunities in emerging sectors. Titled "AI for All: Building an AI-Ready Workforce in Asia-Pacific", the April 2025 report surveyed 3,000 individuals across 8 Asia-Pacific economies. It identifies Indian youth, especially those aged between 15 to 29, as a key demographic which could benefit from AI skilling. Even as a strong enthusiasm could be witnessed for adapting and learning about AI, participation numbers claim 80% young respondents are yet to enrol in any AI-related training course. The findings lay bare a stark preparedness gap in a labour market that increasingly prioritises AI fluency, digital decision-making, and automation skills over traditional academic qualifications. Hiring trends are shifting, but graduates aren't keeping up India's position is particularly urgent given its large and growing youth population. The report highlights a widening disconnect between industry expectations and the current skillset of young Indian jobseekers. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Pensia Pilon 3 NN Pensia Facultativă NN Vezi oferta Undo As workplaces integrate AI across functions, recruiters are placing greater emphasis on practical digital competencies, such as using AI-powered tools for automation, data processing, and workflow optimisation. Yet, much of the youth talent pipeline lacks exposure to such applied skills. The study notes one of last year's reports; 'only 10% of India's 1.5 lakh engineering graduates are likely to be employed in 2024', pointing to a gap between academic training and workplace readiness. These hiring patterns threaten to sideline even technically qualified candidates who lack AI literacy. Further, survey insights show that 40% of respondents prefer hands-on training focused on real-world scenarios, an indication that conventional classroom instruction is falling short. The report stresses the need for employment-oriented skilling models that integrate industry tools, user-centric design, and workplace simulations to better align youth capabilities with evolving recruitment benchmarks. The real barriers run deeper than access While lack of access to digital infrastructure is a major hurdle, the report identifies deeper structural challenges. One of the most critical is low digital literacy, especially in rural areas and among first-generation learners. In South Asia, which includes India, only 13% of under-25 individuals have home internet access, severely limiting participation in online skilling programmes. In addition to poor connectivity, social and cognitive barriers are limiting uptake. Women, informal workers, and people from non-urban regions face higher risks of exclusion. The study finds that mature and less digitally fluent individuals are twice as likely to face language-related challenges, and 1.6 times more likely to report concerns about trusting AI systems. Despite the existence of nearly 20,000 AI-focused digital skilling initiatives across the region, only 15% of surveyed respondents have engaged with them, revealing a significant gap between programme availability and awareness or usability. India still has a chance Despite the current shortfalls, the report presents a cautiously optimistic path forward. India's demographic edge, defined by its vast youth population, can still be converted into a strategic advantage with timely intervention. The study identifies India as one of the top three Asia-Pacific countries where urgent investment in workforce readiness could deliver outsized returns. The enthusiasm is there; many young Indians express interest in learning AI-related skills. What's needed now is delivery: skilling models that are modular, application-based, and accessible across languages, literacy levels, and geographies. India's existing ecosystem of training institutions and public-private skilling partnerships can serve as a launchpad for scalable change. With inclusive design and strategic policy support, the country can not only mitigate risks from AI-driven job disruption, but also build one of the world's most competitive and future-ready workforces. Ready to navigate global policies? Secure your overseas future. Get expert guidance now!
Indian Express
05-07-2025
- Business
- Indian Express
India must upskill fast to keep up with AI jobs, says new report
As the world continues to embrace artificial intelligence (AI), India seems to be at a tipping point. A new report backed by and the Asian Development Bank has thrown light on the opportunities and challenges for one of the largest economies. Despite having the largest workforces in the world, India urgently needs to offer accessible and effective AI upskilling, according to the report 'AI for All: Building an AI-ready Workforce in Asia-Pacific.' The report states that AI will contribute up to USD 3 trillion to the GDP of the Asia-Pacific region by 2030. And, India, with its young and fastest-growing population, is key to this potential. The report, however, warns that the forces that could propel growth also come with the risk of widening the inequality. This is a likelihood if workers are left behind. Further, the report revealed that administrative and support roles, such as data entry, scheduling, and customer service, are at risk considering the rapid advancement in AI-driven automation. According to the report, these roles are disproportionately performed by those from underserved communities, including women, informal workers, and those with low digital literacy. These groups contribute largely in sectors like manufacturing, textiles, and logistics. And, in the absence of focused AI skilling initiatives, these workers risk being left behind in the rapidly evolving job market. The report highlights that India has one of the largest populations of young people, yet many of them are either looking for their first job or hoping to upskill for better opportunities. However, there seems to be a disconnect between what is being imparted as skills and what employers are looking for. According to the report, the candidate profiles sought by employers today are dramatically different from those a few years ago. Traditional degrees are no longer the only requisite; today companies are looking for skills like critical thinking, adaptability, and the ability to use AI tools effectively. The report also cites a Times of India report stating that in 2024 even students from prestigious engineering colleges in India struggled to find employment. The newspaper report claimed that 10 per cent of 1.5 million engineering graduates were expected to get jobs. This underscores the urgent need to reframe skilling and training to match up to the job demands in an AI-driven economy. Apart from students, India is also home to a large number of informal workers, meaning workers without job security, stable income or even access to formal training. The jobs in this sector include packaging workers, delivery staff, textile factory workers, etc. The report warns that AI and automation could impact these sectors hard, especially since most of these jobs involve repetitive manual tasks. Another major hurdle is digital access, as in numerous rural areas people either don't have smartphones or access to the internet. In order to have an inclusive AI future, the report recommends bridging these gaps. When it comes to women, they make up about 35 per cent of the Indian workforce and are also somewhat over-represented in roles that are at most risk of automation, such as office support and retail services. According to the report, many women also drop out of the workforce owing to family obligations, and the ones re-entering are confronted with the rapidly changing job market. The study claims that AI can help level the playing field, but only if these women are given fair access to reskilling. Further, the report suggests building flexible, contextual skilling programmes that are tailored for women, including mothers rejoining the workforce. Along with offering a nuanced view of the current job landscape in India with its challenges and opportunities, the report recommends several urgent steps that help India attain an AI-ready workforce. The steps are as follows: Offering tailored skilling for different groups: The report suggests that skilling efforts should be designed keeping in mind the diversity of jobseekers, such as recent graduates, informal workers, women, people with low digital literacy, and the elderly. According to the report, each group comes with different needs and challenges. Emphasis on practical training: As per the report, 40 per cent of survey respondents across the APAC region want real-world, contextual training over abstract technical expertise. Hence, India's AI skilling initiatives must focus on practical skills that could directly lead to job-readiness. More awareness: When it comes to skilling programmes, only 15 per cent of workers surveyed across Asia-Pacific have participated in any AI skilling initiatives. In India, this number could be lower, signalling the need for awareness campaigns that are needed to encourage participation. Boost for MSMEs: In India, micro, small and medium (MSMEs) make up over 90 per cent of businesses, and they employ a major chunk of the workforce. However, most of these MSMEs lack the resources to train employees in AI tools. There is a need for support from the government and private sector to make AI adoption possible for these businesses. Address gender gaps and digital access: According to the report, without concerted efforts to include women and digitally disadvantaged groups, AI adoption may exacerbate existing inequalities. This makes investments in accessible, multilingual, and gender-sensitive training imperative. It needs to be noted that there are bright spots; programmes such as Grow with Google have trained over 60 million people in the APAC region. Similarly, the AI Opportunity Fund, launched in 2024, aims to train over 500,000 workers across the region, including India, through partnerships with NGOs and local education providers. With the youngest and largest workforce in the world, India can either lead the AI revolution or struggle to embrace an AI-ready future. The report states that bridging the gap will need intentional, inclusive action from all. Since the future of work is here, according to the report, India must act now.
