Ai Adoption Rate

Enterprises are ditching frontier AI models for open-source alternatives to protect proprietary data

Futuriom's analysis of 200+ enterprise AI case studies finds the winning formula is proprietary data plus open models, not off-the-shelf frontier AI.

Agentic procurement doesn't build a leaner finance team: it builds a different one

The question landing in nearly every finance leader's inbox right now is some version of the same thing: what does AI actually change for our teams? It's a fair question, and the honest answer is that much of what's been marketed as transformation has fallen short of the label. Automation tools have

AI is deployed in 57% of enterprises, but only 11% have hit their top two goals

Kyndryl's 2026 People Readiness Report finds enterprise AI deployment has surged while workforce confidence and goal attainment have both fallen.

Kyndryl's 2026 People Readiness Report: AI deployment hit 57% of enterprises, but only 11% are hitting their goals

AI is in 57% of enterprises, yet only 11% have hit both top objectives. Kyndryl's new report explains why workforce readiness is the missing variable.

Chinese open-weight AI models are capturing enterprise workloads, and U.S. compliance teams need a plan

Chinese AI models now process 29% of tokens on Vercel's production gateway at a fraction of the cost, even as House committees investigate adoption risks.

From pilot to daily habit: how enterprise AI adoption is actually scaling in 2026

Law firms, banks, and consumer brands are converting AI pilots into embedded workflows through peer-led champion networks, and the numbers prove it.

Anthropic's $1.5B implementation venture Ode signals that deploying AI beats building it

Ode with Anthropic, a $1.5B joint venture with Blackstone, bets forward-deployed engineers are the missing link in enterprise AI adoption.

Why enterprise AI programs stall before scaling, and what the roadmap actually requires

Most enterprise AI budgets are spent on pilots that never reach production. A five-step adoption roadmap built around readiness, governance, and business KPIs c

Only 11% of S&P 500 firms have deeply integrated AI, MIT study finds

A new MIT FutureTech study finds just 11% of S&P 500 firms have deeply integrated AI, with tech firms driving two-thirds of that adoption.

Only 26% of enterprises say AI governance keeps pace with deployment, Smarsh study finds

A Smarsh study conducted by FTI Consulting finds 55% of enterprises are deploying AI but only 26% have governance that matches the pace.

Agentic AI readiness is now a procurement and operations priority, not just an IT decision

Enterprises that delay agentic AI readiness risk competing on cost rather than innovation as early adopters build internal expertise and governance frameworks n

Buying AI tools isn't enough: two reports show strategy, not spend, drives enterprise returns

High-intensity AI adopters grew headcount 10%+ in 24 months, but 66% of workers got no guidance on using the time saved.

Eighty percent of U.S. factories have no automation. Here's what's holding them back

Most U.S. manufacturers believe AI is critical to their future, yet few have deployed it broadly. The gap between intent and execution is widening.

Enterprise AI cost controls arrive as Walmart, Uber, and Microsoft rein in usage

Major corporations are moving past open AI access and toward usage limits and ROI frameworks, signaling a new phase of enterprise adoption.

Enterprise AI adoption shifts from pilot projects to core business strategy

Most enterprise AI pilots never scale. Here's what separates organizations that reach production from those stuck in perpetual experimentation.

Publicis Sapient's 2026 enterprise AI report finds wide adoption but only 10% say it's core to operations

A survey of 1,550 AI decision-makers finds 73% of enterprises use AI regularly, yet just 10% call it core to how their business runs.

Enterprise AI adoption shifts from pilot projects to core business strategy

Enterprise AI is moving beyond experimentation into full-scale deployment, reshaping operations, decision-making, and competitive positioning across industries.

A Practical Guide to Modern AI Architecture, Workflow-First Thinking, and Scalable Business Value

Artificial intelligence has already moved beyond the hype cycle and into the day-to-day reality of business operations. Companies across industries are rushing to integrate AI into their workflows, but many are running into the same challenge: it’s relatively easy to build something that works in a demo, and much harder to make it reliable…

A Practical Conversation About AI in Business: From Hype to Real-World Impact

Artificial intelligence has moved from buzzword to boardroom priority at a staggering pace. Yet despite widespread adoption, many organizations are still struggling to turn experimentation into measurable business value—some estimates suggest the majority of enterprise AI initiatives fail to scale successfully. As AI becomes “table stakes” across industries, the real challenge is no longer…

How AI Is Transforming Private Equity Deal Evaluation and Portfolio Strategy

Artificial intelligence is rapidly transforming how organizations evaluate risk, analyze markets, and drive operational efficiency. In financial services alone, global AI spending is projected to surpass $97 billion by 2027, reflecting how deeply data-driven technologies are reshaping decision-making. For private equity firms—where hundreds of potential investments may be screened each year—the ability to analyze information…

How AI and Digital Platforms Are Transforming Work at EY: Insights from Industry Leaders

The Digital Revolution in Professional Services The integration of AI and digital platforms is fundamentally reshaping how teams collaborate, upskill, and deliver value to clients at EY. This transformation extends beyond simple automation—it represents a paradigm shift in how professional services firms operate, innovate, and create competitive advantage. We asked industry thought leaders to share…

Major Brands Are Investing in Generative AI for Digital Commerce. They Need to Prioritize Data Transparency to Build Consumer Trust.

In the rapidly evolving world of digital commerce, how can businesses harness the power of generative AI without crossing the ethical line of consumer privacy? Making best use of generative AI in digital commerce is proving a more difficult balancing act than the initial hype around tools like ChatGPT may have signaled. A…

As Businesses Integrate AI, They Must Look Beyond Benefits and Toward Accountability and Ethical Consequences

As the modern business landscape continues to rapidly integrate AI, it’s imperative to approach its applications with a discerning eye. While the capabilities of AI are vast, it’s a myth to consider it a panacea; understanding its strengths and limitations is crucial. This is precisely where the ethical mandates around AI come into…