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Perpetual Asset Management is a leading multi-boutique investment manager catering to the needs of institutional and professional clients across Europe, Asia, and the UK. Follow this channel for the latest from Perpetual Group: product news, expert perspectives, and updates from the team.

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Channel Brief·Perpetual Group · 7 episodes
Updated Jun 20, 2026

Enterprise AI scales when strategy beats experimentation

Perpetual Group argues that most enterprise AI pilots fail because organizations treat them as isolated experiments rather than integrated business strategy. The channel offers asset management and security case studies as proof.

Perpetual Group's core argument is that enterprise AI adoption is moving from proof-of-concept pilots to core business strategy, but organizational silos and misaligned execution prevent most initiatives from reaching production. The channel supports this with hard data showing 45% of firms remain stuck in exploration, and with metaphors (marketing, operations, and IT each running separate experiments like an orchestra playing different songs) that illustrate why isolated pilots never scale into enterprise impact.

Drawn from Enterprise AI adoption shifts from pilot proje… →

“The real barrier is not the technology. Marketing's AI experiments deliver real isolated value, operations has its own drumbeat, and IT runs a separate initiative.”

Enterprise AI adoption shifts from pilot projects to core business strategy

By the numbers

45%

of firms remain in AI exploration phase, not production

$55B

assets managed by Barrow Hanley across equity and credit

$9.2M

Series A funding for Vector Flow from venture firms

What the channel argues

Data45% of firms remain in AI exploration phase, unable to move pilots to production.→
InsightScaling AI requires breaking organizational silos where marketing, operations, and IT each run separate experiments.→
DataBarrow Hanley manages $55 billion in assets across public equity and credit markets using in-house expertise.→
InsightInvestment success balances bottom-up company analysis with top-down market factor analysis to navigate volatility.→
InsightLeveraged credit can diversify portfolios for risk-averse investors when incorporated strategically with proper risk assessment.→

What you'll learn

•Why 45% of enterprise AI pilots stall between proof-of-concept and production, and what separates organizations that scale.
•How asset managers like Barrow Hanley use in-house equity expertise to compete in credit markets.
•Why investment management requires both microscopic bottom-up analysis of individual companies and top-down assessment of market factors.
•How leveraged credit can improve portfolio returns through strategic diversification without introducing unmanageable volatility.
•The difference between treating AI as isolated departmental experiments versus integrating it into core business strategy.

What to do about it

→Map your enterprise AI initiatives across all departments and identify silos; establish a single integration strategy rather than allowing marketing, operations, and IT to run separate experiments.
→Assess your current investment approach: confirm you are balancing bottom-up company-level analysis with top-down market factor analysis, not relying on one method alone.
→Review your portfolio diversification strategy and evaluate whether leveraged credit instruments fit your risk tolerance and return targets with measured risk assessment.

Who and what shows up

Barrow Hanley Global Investors

Asset manager

Manages $55 billion in assets across public equity and credit, using in-house expertise to compete in credit markets.

Perpetual Asset Management

Investment management firm

Articulates dual investment philosophy of bottom-up and top-down analysis to manage risk and achieve consistent returns.

Cloud Security Alliance

Industry body

Cited by the channel for the statistic that 45% of firms remain in AI exploration phase.

Questions this channel answers

Q

Why do most enterprise AI pilots never reach production?

According to CompTIA data, 45% of firms remain in the exploration phase. The real barrier is organizational silos: marketing, operations, and IT each run separate AI experiments like an orchestra playing different songs, preventing integrated scaling.

Enterprise AI adoption shifts from pilot projects to cor… →
Q

How do you distinguish yourself as an asset manager in a competitive market?

Barrow Hanley, managing $55 billion across public equity and credit, distinguishes itself by leveraging in-house equity expertise to understand industries and management teams, giving it an upper hand in credit management.

Navigating the Intricacies of Asset Management: An Insid… →
Q

What investment approach manages risk and volatility consistently?

Perpetual Asset Management combines bottom-up analysis of individual companies with top-down analysis of market factors, similar to strategic thinking in chess: deep analysis, strategy, and adaptive decision-making navigate market volatility.

Mastering Risk: The Art and Science of Investment Manage… →
Q

Can leveraged credit safely improve portfolio returns for risk-averse investors?

Yes, if managed strategically. Leveraged credit represents an asymmetrical trade-off where maximum gains are dictated by coupon and payout, and it can diversify portfolios when incorporated with proper risk assessment.

Proactive Strategies for Portfolio Diversification: Harn… →
Topics:Enterprise AI adoption and scalingAsset management and portfolio strategyRisk management and diversificationPhysical security automationInvestment philosophy and market strategy
Themes:Organizational alignment determines whether AI scales beyond pilotsDual-perspective analysis (bottom-up and top-down) beats single-angle investingStrategic integration beats isolated departmental experimentation

Industry context

Enterprise AI adoption has saturated at 88% of organizations, but only 23% scale agents and 6% capture measurable financial value, revealing a gap between experimentation and organizational impact that turns on workflow redesign rather than technology investment alone.

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