Skip to content
MarketScale
Creator HubsPerpetual Group
Perpetual Group logo

News, updates, and expert insights from Perpetual Group.

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.

8 episodesVisit website ↗
Channel Brief·Perpetual Group · 8 episodes
Updated Jun 20, 2026

Enterprise strategy beats pilot projects; execution separates success from stalling

Perpetual Group shows why most AI projects fail to scale and how asset managers, hospitality brands, and security firms navigate complexity through strategic integration and authentic market positioning.

Perpetual Group argues that scaling—whether in enterprise AI, asset management, or market disruption—requires moving beyond isolated pilots and experiments into coherent, organization-wide strategy. The channel's proof pattern is concrete: it anchors claims in real market examples (Barrow Hanley's $55B in assets, travel industry's 10.4% of global GDP), failure modes (45% of firms stuck in AI exploration), and the strategic approaches that separate leaders from experimenters.

Drawn from Enterprise AI adoption shifts from pilot proje… and 2 more

Marketing's AI experiments deliver real isolated value, operations has its own drumbeat, and IT runs a separate ini

Episode 1: Enterprise AI adoption shifts from pilot projects to core business strategy

By the numbers

45%

Enterprise AI firms remain stuck in exploration phase

$55B

Assets under management at Barrow Hanley across equity and credit

10.4%

Travel and tourism share of global GDP in 2019 and post-pandemic recovery

$9.2M

Series A funding for Vector Flow security platform, led by Mayfield Fund

What the channel argues

Data45% of enterprises remain in AI exploration phase, unable to move pilots to production.
DataBarrow Hanley manages $55B in assets by leveraging in-house equity expertise across credit markets.
DataTravel and tourism rebounded to 10.4% of global GDP post-pandemic, but travelers now demand authenticity over polished marketing.
InsightAI scaling fails when marketing, operations, and IT run disconnected initiatives instead of unified strategy.
InsightInvestment management balances bottom-up company analysis with top-down macro factor consideration to navigate volatility.

What you'll learn

Why 45% of enterprise AI projects stall: they lack orchestrated, cross-functional strategy rather than isolated departmental experiments.
How Barrow Hanley's $55B asset base depends on in-house equity expertise feeding into credit market decisions—not outsourced analysis.
Modern hospitality brands survive by embracing unfiltered, authentic voices and lived-in storytelling, not polished marketing campaigns.
Leveraged credit can diversify portfolios if incorporated with deliberate risk assessment, not added reflexively.
Successful investment requires combining microscopic bottom-up analysis of individual companies with top-down macro view of market factors.

What to do about it

Audit your AI initiatives: consolidate disconnected pilot projects into one cross-functional roadmap with IT, operations, and marketing aligned on shared metrics and timelines.
For hospitality and consumer brands, shift marketing spend from polished campaigns to authentic creator voices and transparency, since post-pandemic audiences reject unfiltered messaging.
When diversifying investment portfolios, treat leveraged credit as a calculated component with explicit volatility modeling, not a default income play.

Who and what shows up

Barrow Hanley Global Investors

Asset manager

Manages $55B across public equity and credit by combining in-house industry and management team expertise with credit market discipline.

Scott Eddy

Hospitality brand strategist and travel influencer

Exemplifies the shift from Wall Street to authentic hospitality thought leadership, advocating for unfiltered voices over polished campaigns.

Perpetual Asset Management

Investment manager

Articulates a dual bottom-up and top-down investment philosophy for navigating market volatility and managing portfolio risk.

Cloud Security Alliance

Industry research authority

Cited for CompTIA data showing 45% of firms stuck in AI exploration phase, anchoring the channel's core claim on scaling failure.

Questions this channel answers

Q

Why do most enterprise AI pilots never scale to production?

Because departments run separate experiments instead of coordinating a unified strategy. Marketing, operations, and IT each pursue isolated AI value rather than orchestrating one enterprise initiative.

Enterprise AI adoption shifts from pilot projects to cor…
Q

How do asset managers gain an edge in competitive credit markets?

By building in-house expertise on companies and industries rather than relying on external analysis, then applying that insight to credit and equity decisions. Barrow Hanley's $55B platform exemplifies this approach.

Navigating the Intricacies of Asset Management: An Insid…
Q

What do modern travelers actually want from hospitality brands?

Authenticity, transparency, and lived-in storytelling—not polished marketing. After the pandemic, travelers crave voices they can trust and experiences that match promises, even as the industry rebounded to 10.4% of global GDP.

From Wall Street to World Travel: Scott Eddy’s Journey t…
Q

How should risk-averse investors use leveraged credit?

As a deliberate diversifying component within a broader portfolio, paired with explicit volatility and risk assessment—not as a standalone income play.

Proactive Strategies for Portfolio Diversification: Harn…
Topics:Enterprise AI adoption and scalingAsset management and investment strategyHospitality brand authenticityPhysical security automationRisk and portfolio diversification
Themes:Strategy beats experimentationAuthenticity over polish in customer expectationsIntegration versus isolation in decision-making

Industry context

Enterprise organizations are moving from AI experimentation toward scaled adoption, increasingly focusing on automation, orchestration, and enterprise-wide implementation rather than pilot projects.