AI Adoption Stumbles: Why 88% Use AI But Only 7% Scale It Successfully
14 Sources
[1]
Give AI 'stuff nobody wants to do' - and 4 other ways to use agents more effectively at work - ZDNET
* AI can help with silo-busting, a long-sought tech goal. * Map out where AI agents will deliver the most value. * Stop looking at AI as a "power tool." For anyone who's spent time in the technology profession, silos are a curse cast upon any and all systems and data, now and forever. Can
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What can we learn from the office AI superusers?
Calls to slow the pace of AI development for fear of its potential to destroy humanity are unlikely to resonate with many office workers, most of whom are still primarily using the technology for basic tasks. Only about a quarter of UK adults use AI tools every day for their jobs, according to a
[3]
AI can't fix a business system with broken processes
88% of organizations use AI but only 7% have scaled it (McKinsey). Dessy Pavlova argues the gap exists because companies apply AI to fragmented operations rather than redesigning the process first. She builds systems where a single human decision triggers cascading updates across websites,
[4]
Why AI success depends on strategy, not software
AI has become remarkably good at making organizations move faster and more efficiently. The harder question is whether companies know where they should be going. As artificial intelligence moves deeper into everyday work, the competitive divide is beginning to shift from access to technology toward
[5]
Inside ServiceNow's AIQ data, the widest gap between AI leaders and laggards is training for humans | Fortune
Diana David calls herself a "forward-deployed futurist." She says CEOs kept asking for "forward deployed" employees, "people to be out on the edge to bring us back the insights about what is actually happening in AI in our companies." What she is finding there is that the companies pulling ahead
[6]
The AI era is the best time to be a creative
The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. Tech headlines and industry commentators warn of the imminent death of the creative field, with sweeping claims that
[7]
AI in customer experience has an orchestration problem, not an adoption problem
AI in customer experience has an orchestration problem, not an adoption problem Every information technology leader I talk to has an artificial intelligence story about customer experience. Almost none has an outcome story. That gap is now measurable. Talkdesk Inc., in partnership with NewtonX,
[8]
'Sometimes it's more expensive than having humans': Honeywell and Ecolab get real about AI's limits in the physical world | Fortune
Honeywell Chief Technology Officer Suresh Venkatarayalu said at Fortune's AIQ Summit at the New York Stock Exchange on Thursday that the problem is accuracy. The industrial giant's customers "really demand 99.9999%," he said, while frontier models "could be at 85%." Ecolab Chief AI Officer AJ
[9]
Don't squirrel away your AI savings
The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. Across almost every industry, companies are finding moments in the customer experience where AI can replace human labor. In a
[10]
Top futurist Amy Webb sees Fortune 500 firms suffering from 'learned helplessness' with AI, like taxi drivers who need Google Maps | Fortune
Large companies are behind on artificial intelligence, and much of the money they're spending isn't tied to a plan, futurist Amy Webb said at the Fortune AIQ Summit on Thursday, in conversation with Fortune's AI editor Jeremy Kahn. "Let's be fair, Fortune 500 companies are pretty late to the party
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AI Is Creating a Whole New World for Creators. Are You Using It Efficiently?
As storytelling, product development and marketing come together, entrepreneurs can test more ideas with fewer resources. A few years ago, I wrote an article exploring something I have always found fascinating: how writers, filmmakers and producers have repeatedly imagined technologies decades
[12]
Why Humanity's Rush to Use AI Has a Blind Spot Most Leaders Are Missing
The more AI starts doing your writing, your analysis, your first draft of everything, the more it matters whether you'd actually notice when it's wrong. Businesses are investing heavily in artificial intelligence: new platforms, new agents, new automations, new promises of productivity. But there
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Top ServiceNow exec on clients delivering 'life-changing' results with AI agents -- and he's seeing it now at Standard Chartered | Fortune
"We have one of our customers, Standard Chartered Bank, that I was with about four months ago, and the chief operating officer said she's driving 77% deflection rates across all of her employee requests," Fipps recently told Fortune's Andrew Nusca onstage at the 2026 AIQ Summit. "I always say, if
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Bank of America and S&P Global on why AI success starts with governance and data | Fortune
Good morning. In highly regulated industries, the question is not whether companies can deploy AI. It is whether they can trust it with decisions that affect customers, markets, and the broader economy. At Fortune's inaugural AIQ Summit on Thursday, Hari Gopalkrishnan, chief technology and
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Companies rush to deploy AI agents and automation tools, but research shows most organizations fail to capture real value. The gap between AI leaders and laggards isn't about technology—it's about strategy, workflow redesign, and human upskilling. Leaders like ServiceNow and Microsoft reveal what separates successful AI adoption from expensive experiments.
AI Adoption Faces a Strategy Problem, Not a Technology Gap
AI in the workplace has reached a critical inflection point. While 88% of organizations now use AI in at least one business function, only 7% have successfully scaled it across their operations, according to McKinsey's 2025 global survey
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. The gap isn't about access to technology—it's about how companies approach AI strategy, workflow redesign, and organizational culture. Research consistently shows that applying AI to fragmented processes simply accelerates dysfunction rather than solving it.Michael Privat, chief data and engineering officer at Availity, warns that organizations risk creating what he calls a "Plinko board" effect—where AI adoption becomes random and chaotic
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. "If you want speed, you have to control the number of hand-offs," Privat explains. His team processes data for over half of all US health insurance claims, and he's restructured operations around market domains rather than products, eliminating handoffs that slow execution. AI agents can't fix broken engineering cultures, he emphasizes—they expose them loudly.The Widest Gap Between AI Leaders and Laggards: Human Investment
ServiceNow's Enterprise AI Maturity Index reveals the most striking divide between "pacesetters" and other organizations isn't technological—it's human. Diana David, ServiceNow's director of futures, reports that 57% of pacesetters invest in ongoing AI upskilling versus just 4% of other organizations
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. The widest single gap appears in attracting, hiring, and retaining AI talent: 68% versus 10%.
Source: Fortune
Pacesetters—the roughly 21% of organizations scoring above 60 on the 100-point index—also demonstrate operational discipline that extends beyond talent investment. Around 64% are on a path to unified data versus 14% of others, and 57% maintain a clear AI vision versus 21%
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. These companies average 160% ROI on their AI initiatives, but David cautions against measuring success by adoption rates alone. "95% of everybody has X, Y, Z. But it is not translating into productivity, and it's often not with training, and that doesn't equal maturity," she notes.AI Superusers Redesign Workflows, Not Just Tasks
Microsoft's 2026 Work Trend Index identifies that 16% of AI users qualify as "superusers"—distinguished by advanced use of AI agents, redesigned workflows for maximum efficiency, and knowledge sharing across organizations
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. These individuals aren't simply automating existing tasks; they're fundamentally rethinking how work gets done.Pamela Maynard, Microsoft's chief AI transformation officer, describes her AI agent as holding "institutional context—my priorities, my calendar, what I care about, even my boundaries." The agent shapes her week, surfaces priorities, and ensures she arrives prepared for meetings
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. Angela Tangas, head of UK marketing agency Oliver, created an "Ask Ange" agent that serves as a first line of support for direct reports, built from common questions and her typical responses.At law firm Lewis Silkin, senior associate Jordan Quartey uses specialist legal AI tool Harvey to gather client-specific files and previous advice, allowing him to develop judgment independently before consulting senior colleagues
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. This represents a shift from task automation to capability enhancement—AI agents enable professionals to reach further in their work rather than simply completing it faster.Why AI Can't Fix Broken Business Processes
Dessy Pavlova argues that one of the most expensive misconceptions about AI adoption is believing technology can repair businesses with fragmented operations
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. Give AI a broken system, and you'll simply get a faster version of the fragmentation. Her work across businesses ranging from one-person operations to multimillion-dollar companies reveals a consistent pattern: organizations accumulate tools to solve individual problems, then use connectors like Zapier or Make to force cooperation.The alternative is building systems around the business itself. Pavlova designs workflows where a single human decision—such as a student changing classes—triggers cascading updates across websites, scheduling, and finance, with stopgates for human oversight
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. "AI can flag an anomaly or carry information across systems. Someone still needs to understand what the business is trying to accomplish," she explains.
Source: The Next Web
NBER research supports this human-machine arrangement. A study of 5,179 customer-support agents found that access to generative AI increased productivity by 14% on average, with particularly large gains among less experienced workers
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. The technology helped people perform work—it didn't eliminate the need to understand it.Organizational Restructuring for AI Demands New Operating Models
Deloitte's research shows organizations are structurally rebuilding their tech operating models to drive speed, efficiency, and growth, driven by mass AI integration, cloud evolution, and business-focused technology
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. Yet 59% of organizations take a technology-focused approach to AI, while only 6% of leaders report making progress in intentionally designing human-AI interactions4
.Claudia Harvey, a change management consultant and strategist, emphasizes that successful AI adoption requires defining goals, measuring progress, and pinpointing where updates are needed before selecting technology
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. "Faster does not automatically mean better," Harvey argues. "AI can provide information, automation, analysis, and incredible speed. But someone still needs to provide the strategy, judgment, relationships, values, and leadership."BCG's 2026 AI at Work research found that 74% of frontline employees are now regular AI users, up 23 percentage points from the previous year, while 42% of regular users report saving at least eight hours a week
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. However, 66% receive limited or no guidance about what to do with that time, and more than half don't redirect it toward strategic work. This reveals a fundamental challenge: organizations know how to deploy AI but haven't decided what the recovered time should accomplish.Using AI Agents Effectively at Work Requires Systems Thinking
Privat offers specific guidance for professionals seeking to use AI agents effectively at work: assign AI the "stuff nobody wants to do"—the repetitive, administrative tasks that drain energy
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. His team runs weekly forums with top engineers to discuss "AI factories," ensuring bright minds focus on innovation rather than getting bogged down in execution details.Ivan Zhao, co-founder and CEO at Notion, likens the shift to the difference between a marching band and a jazz ensemble
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. The marching band represents old working patterns—everyone in lockstep formation following the same sheet music. A jazz band has talented people improvising around a shared sense of direction. In his workplace, AI agents handle boring and repetitive tasks so staff can spend time on improvisation and fine-tuning, leading to more long conversations with colleagues about what they're building and why.Related Stories
Agentic Workflows Separate Leaders from Followers
ServiceNow's research shows that around 59% of surveyed companies are past the pilot phase with AI, but only 9% are deploying agentic, autonomous, multi-step workflows not checked by humans at every step
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. Among pacesetters, that figure jumps to 36% versus just 2% of others. These agentic workflows represent more than isolated automation—they're integrated processes that span multiple business functions.David emphasizes the importance of thinking "almost in a day zero mentality" about what processes would be designed from scratch
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. The alternative is to "sprinkle AI on something probably a very old or broken process to make it go even faster. That's just not solving the problem faster." She recommends having a vision, aligning data, choosing workflows, assigning ownership, and iterating rather than attempting top-down redesign of everything immediately.Data Strategy and Governance Determine AI Success
McKinsey's research argues that applying AI to isolated tasks leaves substantial value on the table, while reimagined workflows can unlock much larger productivity gains
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. IBM's 2026 research found that only 11% of surveyed technology leaders felt completely prepared for the scale of AI agent deployment, highlighting how quickly capability can outpace organizational control.According to ServiceNow's index, 59% of organizations lack long-term HR plans for AI, and 42% of employees say they aren't getting enough AI training
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. Meanwhile, 65% of organizations believe their organizational culture needs to change significantly because of AI, while 42% of workers report that their organizations rarely evaluate AI's impact on people4
. This governance gap—determining how work changes, where accountability sits, and how people understand their role—represents a critical challenge for AI adoption.
Source: Entrepreneur
The Path Forward: Strategy Before Software
Gallup reports that 52% of US employees now use AI in their roles at least a few times a year, while 30% use it several times a week or more
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. The technology is already embedded in the workplace. What determines whether it matters is strategy—the quality of decisions surrounding deployment rather than access to tools.Maynard at Microsoft argues that "AI should give us more room for the human, not less."
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Time saved through efficiency gains should be redirected toward relationships, mentoring, and conversations no agent can have. Tangas at Oliver measures AI benefits not in time saved but in effectiveness as a leader—starting each day with an AI-generated news round-up that helps her spot client profit warnings and other developments she might otherwise miss2
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Source: SiliconANGLE
The competitive divide in AI adoption is shifting from technology access toward strategic clarity. Organizations that define business objectives first, redesign workflows around those goals, invest in upskilling, and maintain human oversight are pulling ahead. Those that bolt AI onto existing systems risk automating dysfunction at unprecedented speed.
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