Business Technology Roundtable

This report is the first in a series of research-based editorials that profile the leading artificial intelligence "AI Stack" advantages, from the large enterprise senior executive perspective. Your Strategic Advantage in The AI Era The enterprise AI market is not just growing; it's exploding, with projections reaching hundreds of billions of dollars by 2030. For large enterprises, the strategic implementation of Applied-AI is no longer optional — it is the new frontier for long-term competitive advantage. The core challenge has shifted from AI experimentation to deploying scalable solutions that deliver tangible business outcomes, such as significant cost savings, new revenue streams, and superior customer experiences. However, hurdles like data silos, talent shortages, and proving value are significant. This advisory guidance makes the case for a strategic Applied-AI Initiative built on the Google AI stack. Google Cloud has established itself as a "Full-Stack Inno...

Many CEOs say their company is all-in on AI. Every one of their earnings calls touts AI integration. Their strategy deck features the words AI-powered a dozen times. Yet when I review these same organizations, I encounter a starkly different reality: employees using consumer  Generative AI (GenAI) tools in secret, departments building redundant solutions, and confusion about what AI transformation actually means. Recent research from Google also reveals the inconvenient truth: Just 3 percent of organizations have achieved meaningful AI transformation. However, 97 percent remain mired in what I call AI aspiration fantasy theater. This isn't a technology problem. The GenAI tools work. The models are remarkable. The issue is that we've fundamentally misunderstood what meaningful and substantive AI transformation requires. The Executive Blind Spot The data reveals a troubling pattern: executives are 15 percentage points more likely than their employees to believe that AI is alread...

The telecommunications sector is at a pivotal intersection of technological evolution and digital transformation. What was once primarily focused on connectivity infrastructure has now emerged as a critical enabler and adopter of artificial intelligence (AI). As telcos serve billions of customers worldwide, their embrace of AI represents not merely an operational upgrade but a fundamental reimagining of how communication networks are built, managed, and monetized. From Pilots to Production: AI Goes Mainstream The most striking revelation from NVIDIA's "2025 State of AI in Telecommunications" survey is the velocity of adoption. Nearly all telecom companies are now actively engaged with AI, either deploying it in production or rigorously assessing its potential to create value. This represents a significant leap from just two years ago. More importantly, the industry has crossed the chasm from experimentation to implementation, with 49 percent of respondents actively using ...

Three years ago, ChatGPT's launch sparked a wave of excitement that swept through corporate boardrooms. Executives marveled at the AI tool's potential while simultaneously wrestling with questions about practical application, return on investment, and workforce implications. Fast forward to today, and the picture has transformed dramatically. According to Wharton's latest research tracking enterprise Generative AI (GenAI) adoption, we're witnessing not just incremental progress but a fundamental shift in how businesses integrate artificial intelligence into their core operations. The numbers tell a compelling story of maturation and desired business outcomes. Daily GenAI usage among enterprise decision-makers has surged to 46 percent — that's a 17-percentage-point leap year-over-year — while 82 percent now engage with these tools at least weekly. This isn't casual experimentation; this is mainstream adoption. What began as fascinated tinkering has evolved into ...

While many industries grapple with artificial intelligence (AI) adoption, healthcare and life sciences have emerged as unexpected frontrunners in the Applied-AI transformation. This isn't merely about early adoption; it's about meaningful deployment at scale. The healthcare sector has decisively moved beyond the experimental phase, transforming AI from a technological curiosity into an operational necessity, reshaping everything from drug discovery to clinical documentation. What makes this transformation particularly compelling is its breadth. Unlike other sectors where AI applications remain narrowly focused, healthcare organizations are deploying AI across an extraordinarily diverse range of use cases — from analyzing medical imagery to accelerating pharmaceutical research, from optimizing hospital workflows to personalizing treatment protocols. This multi-dimensional adoption reflects both the complexity of healthcare challenges and the sector's willingness to embrace i...

The artificial intelligence transformation sweeping through the financial services sector has reached a critical inflection point. What began as cautious experimentation with machine learning models has evolved into a wholesale reimagining of how banks, asset managers, and fintech companies operate. The latest NVIDIA survey report reveals an industry no longer asking whether to adopt AI, but rather how quickly it can scale deployment to maintain a competitive advantage. Moreover, recently reported Applied-AI outcomes from industry leaders validate this analysis. This shift represents a fundamental restructuring of financial services around data-driven intelligence. The numbers tell a compelling story of an industry that has moved decisively past the proof-of-concept phase and into aggressive implementation mode. The Generative AI Breakthrough Perhaps the most striking finding is the explosive growth of generative AI adoption. In just one year, the percentage of financial services firm...

The OECD’s latest report, "Governing with Artificial Intelligence: The State of Play and Way Forward in Core Government Functions", is an indispensable blueprint for public sector digital transformation. The analysis confirms what many leaders already suspect: Artificial Intelligence (AI) is no longer an optional add-on but the definitive next frontier in the digital government journey, offering the potential to fundamentally reshape how the state operates, delivers value, and maintains fiscal integrity. The imperative for modern governance is clear: deliver more value to citizens with greater efficiency and impeccable integrity. Applied-AI offers the transformative power to move beyond incremental improvements and achieve systemic, high-impact public sector transformation. The Productivity and Prudence Dividend The most compelling case for embracing AI in government centers on its potential to unlock unprecedented employee productivity and cost efficiency levels. Public ser...

As artificial intelligence (AI) reshapes the business technology arena at breakneck speed, a fascinating paradox emerges: the more sophisticated our AI tools become, the more crucial human skills become in determining organizational success. The latest Fortune AIQ Advisory Board survey reveals that forward-thinking companies are investing in AI tools and fundamentally reimagining their approach to talent acquisition, employee development, and organizational culture around AI capabilities. This shift represents more than a technological upgrade; it's a fundamental transformation in how businesses conceptualize competitive advantage. The companies that will thrive in the AI-driven economy are those that recognize AI proficiency as a core competency, not merely a nice-to-have technical skill. The New Enterprise Hiring Paradigm The survey data paints a compelling picture of this transformation. An overwhelming 69 percent of respondents consider AI skills either "very important...

Has your organization prepared to compete in a world where Artificial Intelligence (AI) isn't just an IT tool, but the new operating system for digital transformation? Based on the findings from a Menlo Ventures market study, it's now clear that Generative AI (GenAI) has moved beyond the realm of experimentation and firmly established itself as a mission-critical imperative for enterprises across industries. The transformative power of this rapidly emerging technology is reshaping digital business strategies, enterprise workflows, and entire sectors at an unprecedented pace. The Numbers Tell a Compelling Story The surge in AI spending is nothing short of remarkable. In 2024, enterprise AI investments skyrocketed to $13.8 billion, a staggering sixfold increase from the $2.3 billion spent in 2023. This dramatic uptick in investment signals a definitive shift from pilot programs to full-scale implementation, with GenAI tools becoming deeply embedded in core business operations. T...

The emergence of Generative AI (GenAI) represents a pivotal moment in business technology evolution, with early enterprise adoption showing promising results according to PwC's latest Global CEO Survey . While much attention has focused on potential future impacts, concrete productivity, and revenue gains are already materializing across industries, suggesting we're at the beginning of a transformative wave in how organizations operate. Current State of Enterprise Adoption The PwC research findings, drawing from 4,701 CEOs worldwide, reveal encouraging early returns from GenAI tools and associated use case investments. Notably, 56 percent of CEOs report that GenAI has improved employee time efficiency, while about one-third have seen increased revenue (32 percent) and profitability (34 percent). These performance metrics, while slightly below initial expectations, demonstrate that organizations are finding practical ways to extract value from the latest technology. Perhaps most...

The democratization of artificial intelligence (AI) has created an unprecedented opportunity. Are you prepared to skillfully apply this digital transformation catalyst? While enterprises invest millions in proprietary information technology (IT) solutions, readily available free Generative AI (GenAI) tools now match or exceed many corporate capabilities — enabling dramatic productivity gains across functional groups and business units. The strategic advantage lies not just in the tools, but in their skilled application. Experienced practitioners can rapidly deploy these technologies within appropriate risk boundaries, neither compromising intellectual property nor exposing proprietary content. This combination of powerful capabilities and pragmatic governance creates immediate value without traditional enterprise IT constraints. It presents a strategic imperative for executive decision-makers. The Business Technology Landscape The artificial intelligence technology market has evolved ...