Global market players are competing for greater market share. artificial intelligence The (AI) space will need to offer customers differentiated business values in key areas such as reliability.
Companies will want to stand out as organizations are projected to increase their spending on AI, specifically as interest in generative AI (Gen AI) grows.
Also: Advances in generative AI will force companies to think big and act quickly
The forecast from research firm IDC places Enterprise Spending on Gen AI Solutions Globally, the value of artificial intelligence exceeds $19.4 billion, including Gen AI software, related hardware infrastructure, and services. This figure is expected to more than double this year before rising to $151.1 billion in 2027, at a compound annual growth rate (CAGR) of 86.1% between 2023 and 2027.
According to IDC, Asia-Pacific in particular will see an “unprecedented rise” in the adoption of older-generation AI, with Spending in the region will reach $26 billion in 2027The researcher suggests that general AI spending for Asia-Pacific is projected to expand at a CAGR of 95.4% between 2022 and 2027.
Also: Enterprises will need AI governance as the number of large language models increases
Globally, organizations in China are leaders in Gen AI adoption, with 83% of companies in the country currently using the technology, according to a Study commissioned by SASpublished earlier this month. By comparison, 65% of companies in the US have implemented Gen AI, along with 70% in the UK and 63% in Australia, revealed the survey, which polled 1,600 decision-makers about Gen AI or data analytics deployments in their organisations. The study was conducted by Coleman Parkes Research between February and April this year.
But while China is leading the way in GenAI adoption, this approach does not necessarily equate to effective implementation or better returns, noted Stephen Saw, CEO of Coleman Parkes. “In fact, the US is ahead in the race with 24% of organisations having fully implemented GenAI.” [tools]compared to 19% in China,” he said.
For now, at least, the United States continues to lead the global market for AI infrastructure, grassroots R&D, startup ecosystem and venture capital funding, according to Charlie Dai, vice president and principal analyst for technology architecture and delivery at Forrester.
In infrastructure, specifically, he highlighted the United States’ strength in hardware chip design, integrated manufacturing systems design, and global cloud infrastructure presence.
Also: Transparency is lacking amid growing interest in AI
The US strength in basic models also spans large language models (LLM), large vision models (LVM) and multimodal models, Dai told ZDNET in response to a question about whether China or the United States lead AI market.
However, he said China is quickly catching up in the development of core models, taking the lead in performance for Chinese languages, industry-specific core models and applications in key verticals.
Dai noted that Europe is also a leader in AI regulations, having approved its The Artificial Intelligence Act becomes law In March, it said this is the first comprehensive AI law, covering an ethical framework for AI governance, establishing a major regulator.
Dai believes the global market is large enough to accommodate major AI players from both China and the United States. He said the technology is evolving rapidly and many companies are in the early stages of adoption.
The analyst also pointed out the growth technological protectionism which will result in more and more segregated global technology markets Searching digital sovereignty.
Also: How your company can make the most of AI: Tell your board these 4 things
To gain a competitive advantage, he said market players will want to focus on delivering differentiated business value to customers, prioritizing AI applications for each industry while reducing complexity for customers at minimal cost.
In particular, he said AI players can gain strategic market share with a stronger commitment to AI governance.
“By addressing privacy concerns, ethical issues, and ensuring responsible use of AI, companies can differentiate themselves in the marketplace and build a strong reputation for integrity“Dai said.
“This can lead to increased customer loyalty and attract new customers who prioritize these factors when choosing AI solutions.”
He said AI providers can further facilitate automation in AI Governance processes, helping companies optimize their operations and drive revenue growth.
“AI governance can help global AI players gain market share by improving customer trust, preserving corporate values, and driving revenue growth.”
Also: It’s time for companies to move past the generative AI hype and find real value
The SAS study revealed that only 10% of organizations believe they are fully prepared to comply with impending AI regulations. Only 5% have implemented a reliable system to measure bias and data privacy risks in law master’s programs.
“With any new technology, organizations must go through a discovery phase, separating expectations from reality, to understand the complexity of real-world deployments in the enterprise. We’ve reached that moment with Gen AI,” said Bryan Harris, executive vice president and chief technology officer at SAS.
“Like us Breaking out of the hype cycle“Now it’s about deliberately implementing and delivering reliable, repeatable business outcomes from Gen AI.”
If adoption takes off, Research by the consulting firm McKinsey It is estimated that AI generation could add between $2.6 trillion and $4.4 trillion to the global economy annually and increase the overall impact of AI by 15% to 40%.
It remains to be seen which global markets will lead the way in AI advancement, but some may face barriers along the way.
Also: Can governments turn AI safety talk into action?
The United States Department of the Treasury announced the draft rules Last month, the US government banned or required notification of some investments in artificial intelligence and other technology sectors in China. The government agency said the move was necessary to safeguard national security.
These restrictions have led chip makers Intel and Nvidia to introduce China-specific AI chipsets with lower specifications to remain in compliance with US export sanctions.
Earlier this month, OpenAI also cut off access to its API from China. ChatGPT is not available in the country, but its API had remained open for Chinese developers and startups looking to build apps. The move, according to OpenAI, was part of the company’s efforts to block API traffic from regions where its services were not supported. Reuters reported.
Asked about the impact of Limitations imposed on China’s access As for chips and AI technology, Dai said restrictions by the U.S. government and companies like OpenAI will slow down the pace of AI innovation in China and widen the gap between China and the United States in several areas.
He said these areas include R&D efforts on core models by Chinese technology providers, the AI application startup ecosystem, and AI adoption by industry pioneers in China.
Also: Security guidelines provide the necessary first layer of data protection in the AI gold rush
“Moreover, it will further strengthen China’s resolve to accelerate local R&D for technological self-reliance,” he said. “Technology leaders such as Alibaba Cloud, Baidu AI Cloud, Tencent Cloudand Huawei Technologies will play a key role in software and hardware R&D.”
A article Chinese state-run media outlet Global Times also noted that OpenAI’s exit could push China’s tech players to develop local LLMs. The report added that the exit will likely push companies in the country to shift to local models.
As things stand, Chinese tech giant Baidu had said it would offer a program to help users migrate to its own platform. GenAI Platform, ErnieAlibaba Cloud also offered free tokens and migration services to encourage OpenAI API developers to migrate to Your Tongyi Qianwen LLM Platform, The Reuters report saying.