Why AI scaling is so hard — and what CIOs say works

A MIT NANDA report revealed that 95% of companies see no return on their GenAI investments. CIOs from various industries are scaling AI by focusing on specific use cases, starting small, choosing the right vendors, tracking performance, and learning from failures. Effective governance and user engagement are crucial for successful AI integration.

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AI fuels a new wave of technical debt

Technical debt exacerbates challenges for CIOs, especially with the integration of AI. Legacy systems and siloed data complicate deployment and efficiency. A study shows ignoring technical debt can result in decreased project returns and increased timelines. Organizations must manage AI-related debt through visibility, governance, and cross-functional collaboration to foster continuous improvement.

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The sunsetting of Sora: A hard lesson in AI portfolio resilience

OpenAI’s Sora application was recently shut down, along with its $1 billion partnership with Disney, highlighting the fragility of AI products despite vendor stability. As AI markets evolve, CIOs face new challenges, including the risk of dependency on specific tools. Experts urge resilience through modular design and the careful selection of AI models.

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Your AI vendor is now a single point of failure

AI vendor lock-in poses significant risks for organizations, yet many overlook this dependency amidst their reliance on AI models. Companies must prioritize AI continuity planning, including contract reviews, performance baselines, and switchover procedures. Without such strategies, businesses may face disruptions that could compromise their operations and strategic objectives.

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Vibe coding: Speed without security is a liability

Software development is shifting to “vibe coding,” where natural language prompts generate code via AI. This boosts productivity but creates security risks, as organizations struggle to fix vulnerabilities quickly. The lack of oversight leads to technical debt and critical gaps. To succeed, firms must prioritize security alongside innovation.

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Chief AI Officer on course-correcting when AI moves too fast

Rob T. Lee, chief AI officer at SANS Institute, highlights the challenges organizations face when rapidly adopting AI technologies. He emphasizes the importance of fostering a learning mindset and adapting workflows while being sensitive to existing team processes. Lee advocates for daily engagement with AI and promoting curiosity in technology to overcome resistance and drive progress.

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Why An AI Event Strategy Is Becoming A Leadership Issue, Not A Technology One

B2B event teams are facing pressure from constrained budgets and evolving audience expectations. AI offers solutions to enhance productivity and attendee experiences but many teams struggle with its strategic implementation. With the growing importance of data, leaders must integrate AI thoughtfully while ensuring that human creativity remains pivotal in event design.

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Shadow AI: When everyone becomes a data leak waiting to happen

Shadow IT poses significant risks for organizations, worsened by the rise of shadow AI, where unauthorized tools can lead to data leaks and compliance issues. Employees using AI without IT oversight may inadvertently expose sensitive information. Organizations should focus on training and collaboration rather than outright restriction to mitigate these risks effectively.

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Building a strong data infrastructure for AI agent success

Enterprises are rapidly adopting AI agents as assistants and task-runners, with a significant rise in AI usage across business functions. However, scaling AI remains challenging due to inadequate data architectures. To succeed, companies must focus on effective data governance and context, rather than just data volume, ensuring reliable AI performance.

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Who really sets AI guardrails? How CIOs can shape AI governance policy

Secretary of Defense Pete Hegseth pressured Anthropic to relax AI safeguards for military use, a demand the company declined. This situation highlights the broader issue of AI governance, with CIOs balancing vendor safeguards, government policies, and internal pressures. Effective AI governance requires proactive engagement and ethical standards beyond mere compliance to mitigate risks.

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ChatGPT Health: What You’re Meant to Use the AI for, and Everything You Should Avoid

OpenAI’s ChatGPT Health, launched in January 2026, is a dedicated feature for health-related inquiries within ChatGPT, designed to assist users in understanding medical information without replacing professional advice. It utilizes advanced AI models while adhering to stricter information guidelines, aiming to empower users in health discussions, albeit with crucial limitations.

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Will AI Eat Your RevTech Stack?

The recent $285 billion selloff in SaaS shares raises questions about the relevance of seat-based RevTech in an era of AI. While some believe AI will replace jobs, others argue it will augment productivity. RevOps leaders should focus on designing flexible tech stacks that adapt to varied AI impacts rather than adopting rigid strategies.

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How Businesses Use AI Chatbots to Generate More Leads and Boost Revenue

AI chatbots have evolved into essential tools for businesses, transforming visitor interactions into active sales opportunities. By utilizing natural language processing and behavioral tracking, they engage users in real time, qualify leads, and drive revenue through upselling and personalized guidance, significantly enhancing conversion rates and optimizing sales efforts.

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AI‑Assisted Coding Assistants in 2026: How They Speed Up Development Without Writing Full Apps

By 2026, AI-assisted coding assistants have evolved into essential tools for developers, automating repetitive tasks and generating code snippets while maintaining human oversight. They enhance productivity, allowing teams to onboard faster and improve code quality, though they come with risks like potential errors and over-reliance. The tools do not create complete applications but support design and architecture, marking a shift in software development dynamics.

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The SOC of the future: How teams can see, know and protect more

The modern Security Operations Center (SOC) faces challenges due to disjointed tools and overwhelming alert volumes, hindering effective threat response. Future SOCs should embrace Detection-as-Code, continuous validation, and unified operations, integrating offensive tactics to enhance security. Investing in these strategies will transform SOCs into resilient, proactive entities by 2026.

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The Complete Guide to How Online Marketplace Systems Process Digital Transactions Securely

Online marketplaces are crucial in modern commerce, enabling transactions between multiple buyers and sellers. They employ complex payment processing systems to handle logistics, security, and compliance, including PCI DSS and PSD2 regulations. Advanced technologies like tokenization and real-time tracking enhance efficiency and trust, positioning payment processing as a strategic advantage for growth.

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When earnings calls demand AI ROI, how can CIOs meet the challenge?

Earnings calls for tech companies are increasingly focused on AI ROI, as stakeholders demand tangible results from investments. CIOs face pressure to validate AI initiatives, transitioning from experimental enthusiasm to operational scrutiny. Effective communication of metrics and aligning AI projects with financial goals are crucial to maintaining support amid evolving expectations.

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The crucial first step for designing a successful enterprise AI system

Mistral AI emphasizes the importance of selecting an impactful, strategic, and urgent use case for successful generative AI deployments. Their methodology involves collaborative workshops to identify optimal projects that can quickly deliver measurable outcomes. By co-designing tailored solutions, Mistral AI aims to transform organizations’ AI capabilities, ensuring sustainability and value.

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AI coding is now everywhere. But not everyone is convinced.

AI-powered coding tools have rapidly evolved, promising increased productivity for developers. However, many face limitations, leading to skepticism about their actual benefits. While some tasks show efficiency gains, overall quality and maintainability suffer. Adoption persists despite disillusionment, raising concerns about job displacement and the diminishing skillset among developers.

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Cyber experts warn AI will accelerate attacks and overwhelm defenders in 2026

Cybersecurity experts predict a transformative landscape in 2026, driven by AI. Attacks will escalate in speed and sophistication, potentially outpacing defenses. Autonomous systems will empower cybercriminals, leading to increased vulnerabilities, extortion, and ransomware. Organizations must adapt, balancing automation with human oversight to counter evolving threats effectively. AI’s impact is undeniable.

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It’s time to revamp IT security to deal with AI

In May, a security breach exposed personal data of over 483,000 patients due to an unsecured database. A report revealed that 90% of organizations are unprepared for AI-related threats. Key threats include AI-driven social engineering, prompt injection attacks, and data poisoning. Companies must enhance cybersecurity strategies immediately.

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AI agent cost management with elements like cost monitoring, budget optimization, task prioritization, model efficiency, usage alerts, and vendor management.

A practical guide to controlling AI agent costs before they spiral

The rapid growth of the agentic AI software market requires enterprises to manage costs effectively as they allocate budgets to AI agents. Key cost categories include software pricing, token fees, infrastructure, and IT management. Companies can control expenses by selecting flexible platforms, predicting costs, and monitoring usage, ensuring AI value surpasses spending.

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Dashboard with Cleveland city data including population, budget, traffic, housing, environment, and performance trends

Cleveland’s open data overhaul: From sticky notes to public dashboards

In Cleveland, CITO Elizabeth Crowe faces the challenge of modernizing the city’s data management, which previously resembled a chaotic environment. Under Mayor Bibb’s directive, she established an open data policy to streamline data practices across departments. Key initiatives include developing a centralized data inventory and launching public dashboards to enhance transparency and efficiency.

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Military officer with folded arms in tactical uniform and American flag patch in command center

Stop Calling It Debt — It’s A Liability

Murray Cantor, a veteran in defense systems and IT, advocates for a reevaluation of how organizations manage technical debt, framing it as “technical liability.” Through conversations with Charles Betz, he emphasizes the importance of addressing uncertainty as a valuable investment opportunity, suggesting organizations need better mathematical tools for informed decision-making.

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Humans are the North Star for AI-native workplaces — Gartner

At Gartner’s Digital Workplace Summit, analysts emphasized that as AI becomes integral in enterprises, human involvement is crucial. Trust, governance, and employee empowerment are key areas for organizations to focus on. Building trust in AI strategies and fostering a culture of safe experimentation are essential for successful AI integration in the workplace.

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Your Employees Aren’t Ready For AI — And It’s A Problem

Forrester’s AIQ reveals significant deficiencies in employee readiness for AI, highlighting that most organizations do not sufficiently train their workforce, impacting productivity and ROI. Employees struggle with essential skills like prompt engineering, leading to misuse of AI tools. Employers are urged to cultivate better learning environments to enhance employee AIQ.

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How techno-nationalism is complicating IT resilience and supply chains for CIOs

The rise of techno-nationalism is affecting CIOs by complicating supply chain management, disaster recovery, and regulatory compliance. Governments are increasing control over technology and data flows, leading to operational challenges and the need for redesigned resilience strategies. CIOs must adapt to geopolitical shifts and diversify IT sourcing to ensure stability.

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There are more AI health tools than ever—but how well do they work?

Microsoft has launched Copilot Health for managing medical inquiries, joined by Amazon’s Health AI and OpenAI’s ChatGPT Health. While demand for such tools is high due to accessibility issues, experts note that rigorous independent evaluations are essential for safety. Current studies reveal potential risks and limitations in providing accurate medical advice.

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Why We Don’t Have More AI Power Users In The Age Of AI

A new study reveals that only 5% of employees effectively utilize AI tools, predominantly at executive levels, for strategic tasks rather than personal productivity. Leaders should focus on assessing the quality of AI usage rather than just frequency. Encouraging wider participation in AI initiatives requires inviting engagement rather than mandating it.

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The Leadership Blind Spots That Frustrate Executive Teams

Leadership can often appear orderly, but many capable leaders unknowingly alienate their peers through subtle behaviors. Common patterns like competitive attitudes, taking undue credit, lack of responsibility, information withholding, inconsistency, and poor listening hinder teamwork. Effective leadership involves self-awareness and the ability to manage interpersonal relationships over mere strategies.

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