Insights & Thought Leadership

Rather than offering merely incremental improvements, Agentic AI functions as a "transformation engine" that accelerates every phase of core IT modernization—from deciphering legacy COBOL code and mapping business rules to automating testing strategies—thereby reducing reliance on scarce subject matter experts.

Forrester's Q4 2025 landscape report identifies AI agents as a top emerging application, moving beyond simple chatbot functionality to sophisticated agentic behaviors that can perform enterprise tasks autonomously.

Forrester reports that GenAI and large language models are revolutionizing chatbots, making them "smarter, more useful, and more conversational than before" with significantly reduced development time and comfortable, almost human interactions.

A comprehensive MIT Sloan/BCG survey of 2,102 respondents across 21 industries reveals that 76% of executives view agentic AI as more like a coworker than a tool, signaling a fundamental shift in human-AI collaboration.

a16z reports that enterprise AI budgets have graduated from pilot programs to recurring line-items in core IT budgets, with vertical-specific AI agents replacing general-purpose tools as the dominant trend.

Gartner forecasts that agentic AI will autonomously make 15% of day-to-day work decisions by 2028, up from virtually 0% in 2024, with 50% of knowledge workers developing skills to work with or govern AI agents by 2029.

Forbes names Automation Anywhere among the "Seven Wonders of AI" for its vision to transform 80% of enterprise processes to autonomous AI agent execution through its Process Reasoning Engine trained on 400M+ automations.

a16z observes a fundamental shift: AI software now sells work output itself rather than tools to help people work, meaning AI companies are replacing labor budgets—which far exceed software budgets—enabling meaningfully larger contract sizes.

Gartner names agentic AI as the top strategic technology trend for 2025, with AI engineering, governance, and hybrid computing identified as critical enablers for enterprise-wide intelligent automation at scale.

a16z reports an explosion in voice agent companies with 90 founded since 2020, accelerating with each cohort. B2B use cases dominate at 69%, followed by healthcare at 18%, with voice agents acting as "simulators" for job training.

Forrester testing reveals that despite vendor claims, agentic/conversational selling tools remain "immature"—more assistive than truly agentic—with unintuitive conversations, unclear scope, and sometimes nonsensical results.

BCG report reveals that over 80% of corporate affairs work can be augmented or automated by AI, with manufacturing hyperautomation reducing energy consumption by 30% and projecting 20% reduction in industrial carbon emissions over the next decade.

Industry analysts project the hyperautomation market will reach $600 billion by 2025, combining AI, ML, RPA, process mining, digital twins, and low-code platforms for end-to-end enterprise automation.

Deloitte's Global RPA Survey reveals a dramatic shift: 64% of organizations now treat RPA as strategic, up from just 15% a year ago, with mature organizations 3x more likely to reimagine processes holistically.

Gartner predicts a dramatic rise in agentic AI adoption, with task-specific AI agents integrated into enterprise applications jumping from less than 5% in 2025 to 40% by 2026, fundamentally changing how businesses operate.

Gartner research shows that 80% of organizations have hyperautomation initiatives on their strategic roadmap, with the market projected to reach $600 billion by 2025 as enterprises combine RPA, AI, and process mining.

Gartner's 2025 Hype Cycle for AI identifies AI-ready data as one of the fastest-advancing technologies, as organizations realize not all data is suitable for AI and critical failures in synthetic data management risk governance and compliance.

McKinsey's "Rewired" playbook shows organizations following their 6-element framework—strategy, talent, operating model, technology, adoption, and value creation—can achieve 3x the EBITDA lift in the agentic AI age.

MarketsandMarkets projects the conversational AI market will grow to $49.9 billion by 2030, with 24% of US online adults already using ChatGPT and another 20% planning to use it in 2025 according to Forrester surveys.

McKinsey identifies 13 frontier technology trends with AI serving as the foundational amplifier across all domains—robotics, bioengineering, and energy systems—requiring focus, agility, and long-term vision for sustained transformation.

McKinsey research reveals the hard truth: only 16% of digital transformations succeed in both improving performance AND sustaining long-term changes. Organizations investing 4x more in people and processes than technology see better outcomes.

HBR Analytic Services and Google Cloud survey of 360+ executives finds data leaders achieve 81% revenue growth (vs 58% of laggards), with 57% using AI to augment decision-making compared to just 17% of others.

MIT Technology Review examines the critical tension between AI autonomy and human control, warning that the more autonomous an AI system becomes, the more we cede human oversight—with lessons from the 2010 Flash Crash.

BCG and Microsoft announce expanded collaboration to accelerate AI transformation in manufacturing, with BCG-WEF survey finding 89% of manufacturing executives plan to implement AI in production networks.

HBR podcast featuring Johns Hopkins' Michael Luca reveals five common pitfalls: confusing causation with correlation, misjudging effect magnitude, disconnect between measurement and meaning, poor generalizability, and overreliance on data.

Randy Bean reports in HBR that generative AI has finally forced companies to prioritize data quality, with executives no longer dismissing data projects. Only 37% reported successful data quality initiatives before—now it's critical for AI success.