In a landmark study unveiled at the ALL IN 2024 event, WEKA, in partnership with S&P Global Market Intelligence, has released eye-opening findings about the rapid rise of generative AI in the business world. The second annual Global Trends in AI report reveals that generative AI has far outpaced other artificial intelligence applications, marking a critical shift in enterprise AI adoption and solidifying a new class of AI leaders and cloud providers.
The study, which surveyed over 1,500 AI decision-makers and practitioners, highlights how generative AI has quickly become the focal point of AI-driven transformation in global enterprises. This shift signals a new era of business innovation, fueled by the power of AI to drive efficiency, productivity, and revenue growth.
AI Is Now a Critical Driver of Enterprise Growth
The report emphasizes that AI applications are becoming increasingly pervasive, with 33% of organizations having reached enterprise-scale AI implementation. This marks a 5% increase from 2023, showing significant progress in AI adoption. Notably, North America leads the pack, with nearly half (48%) of respondents reporting widespread AI implementation. By contrast, only 26% of organizations in the Asia-Pacific region and 25% in Europe, the Middle East, and Africa (EMEA) have reached this level of AI maturity.
Key drivers for these AI investments include improving product quality (42%), boosting IT efficiencies (41%), enhancing workforce productivity (40%), and targeting revenue growth (39%). Organizations are recognizing that AI’s potential to streamline operations and accelerate innovation is crucial to staying competitive.
42% of respondents indicated they had invested in energy-efficient IT hardware and systems over the past year.
Many organizations are actively working to reduce the environmental impact of their AI initiatives. According to the survey, 42% of respondents have invested in energy-efficient IT hardware and systems over the past year. Among those, 56% reported that these efforts have had a significant or very significant effect in lowering their environmental footprint.
Generative AI Takes Center Stage
Generative AI has taken the enterprise world by storm. An astounding 88% of surveyed organizations are actively investigating generative AI, putting it far ahead of other applications like prediction models (61%), classification systems (51%), expert systems (39%), and robotics (30%).
Perhaps more striking is the rapid adoption of generative AI. According to the report, 24% of organizations have fully integrated generative AI across their operations, while another 37% are in production but have not yet scaled. Only a small fraction—11%—have chosen not to invest in generative AI at all, further proving the technology’s immense popularity and potential.
Challenges in Scaling AI: Data Architectures Are the Biggest Barrier
Despite the promising growth in AI adoption, many organizations are still grappling with challenges in scaling their AI projects. On average, companies have 10 AI projects in the pilot phase and 16 in limited deployment. However, only six of these projects are typically scaled to enterprise-wide use.
The biggest culprit holding organizations back? Legacy data architectures. Weak data foundations and data quality issues are the primary roadblocks, with 35% of respondents pointing to storage and data management as the top technological inhibitors. These challenges far outweigh concerns about computing (26%), security (23%), and networking (15%).
The report suggests that organizations need to prioritize upgrading their data infrastructure to ensure their AI projects can successfully transition from pilot to production.
GPU Shortages Shape Infrastructure Decisions
The global shortage of GPUs continues to pose a significant challenge for organizations looking to scale their AI initiatives. Four in ten organizations indicated that access to AI accelerators, such as GPUs, plays a major role in their infrastructure decision-making. With 30% of companies citing GPU availability as one of their top challenges, many are turning to hyperscale public clouds (46%) and specialized GPU cloud providers (32%) to train their AI models.
As generative AI and machine learning (ML) models become more complex and resource-intensive, the demand for GPUs is only expected to grow, making access to AI infrastructure a critical factor in AI adoption.
AI’s Environmental Impact Is a Growing Concern, but Adoption Continues
While AI’s potential to revolutionize business is undeniable, its environmental impact is also drawing attention. Nearly two-thirds (64%) of organizations expressed concerns about the energy consumption and carbon footprint of their AI projects. A quarter of respondents said they were “very concerned” about these environmental impacts.
However, this hasn’t slowed AI adoption. Many organizations are taking proactive steps to mitigate the environmental effects of their AI initiatives. In fact, 42% of respondents indicated they had invested in energy-efficient IT hardware and systems over the past year. Of those, 56% reported that these investments had a “high” or “very high” impact on reducing their environmental footprint.
A New Generation of AI Leaders Emerges
The 2024 Global Trends in AI report underscores the emergence of a new generation of AI leaders who are leveraging generative AI and advanced data strategies to gain a competitive edge. Companies that have successfully scaled AI projects are seeing tangible benefits, including faster product innovation, improved operational efficiency, and increased revenue.
Liran Zvibel, co-founder and CEO of WEKA, summed up the report’s findings by likening AI to other major technological shifts such as the internet and cloud computing. “AI’s adoption and maturation are growing with unprecedented velocity,” he said. “The first wave of AI leaders is already scaling their competitive advantage by accelerating organizational and product innovation.”
As the report highlights, organizations that fail to embrace AI risk falling behind in an increasingly competitive market. To stay ahead, companies must overcome technological hurdles, improve data architectures, and invest in trusted AI partners to ensure they can scale their AI projects effectively.
For more insights and a deeper dive into the 2024 Global Trends in AI report, visit WEKA’s official website.