Convergence Report Edition Two arrives in October; the Q4 Trajectories edition in November: see the current scoreboard →
Strategic Intelligence

Emerging technologies are changing the economics of every industry.

Helping leaders anticipate structural change and build long-term advantage.

Our work combines executive strategy, cross-industry research, and strategic intelligence to identify enduring structural shifts, anticipate competitive moves, and inform better strategic decisions.

Most organizations receive advice through a single lens. Technology, strategy, operations, finance, cybersecurity, or industry expertise. Structural change moves across all of them at once. LG Strategy works across those boundaries, drawing on patterns from enterprise software, national innovation, critical infrastructure, consumer markets, and venture ecosystems.

AI is the current catalyst. The underlying question is pervasive across most technology inflections. When does a technology stop being a tool and start changing how an industry runs, and what should leadership do about it before the answer is obvious?

A global testing and inspection company board wanted to understand how a company built entirely differently could threaten them. No competitive intelligence function is built to track a competitor that does not exist yet.

That question is the reason ARIA exists.

Read this week's signals → See what we're researching →
ARIA Live
These are the questions LG Strategy studies, and what ARIA is built to answer.
01
What structural shifts are underway in an industry, and who can act on them?
We look for patterns that repeat, name them, and test whether they hold, which turns industry changes into leading indicators a company can monitor. Incumbents, AI-native entrants, and customers respond to the same shift in different ways and on different timelines, and few are equipped to capitalize on the opportunity in it. What separates the winners is monitoring how an industry is evolving and investing in change ahead of need, capturing value while managing the balance sheet and explaining to the board what is happening and why. This runs continuously, through every strategy, investment, and acquisition.
The Observatory framework →
02
What do AI-native companies change about an industry's economics?
A company built on inference from the ground up carries different cost, speed, and headcount assumptions than the incumbents it competes with.
AI-native coverage in the signal archive →
03
Where is capital being committed, and where is measurable value appearing?
Chips, data centers, power, cooling, networks, software, and enterprise transformation are absorbing extraordinary capital. Disclosed returns are following at a different pace.
Trajectories indicators 2 and 5 →
04
Who holds the position that keeps its value as compute gets cheaper?
Proprietary data, customer relationships, physical assets, and regulatory standing each carry different weight depending on where the bottleneck sits.
Trajectories indicator 1 and the energy work →
05
Which organizations harness new technology well enough to change how they perform?
Access to capability is becoming common. Turning it into margin, speed, and resilience depends on organizational capability, governance, and operating model change.
The Convergence Report →
Each question links to the work addressing it →
Signals
This Week's Signals
What moved this week, and which trajectory it favors. Each signal is tagged to a scoreboard indicator, with sources cited. We score the accumulated evidence each quarter.
Also this week
Energy for AI. AI for Energy.
The structural shift reshaping both industries.
Energy for AI

US data center power demand is projected to reach 74 gigawatts by 2028, with a shortfall of 49 gigawatts in available grid access. Energy companies have what AI needs: natural gas infrastructure, pipeline access, power generation expertise, and operational reliability at industrial scale.

SLB agreed on August 31, 2026 to buy Kelvion from Apollo-managed funds and Triton for $4.1 billion, $3.4 billion of it in cash. Kelvion builds thermal management and heat exchange equipment and expects $1.2 to $1.3 billion of data center revenue in 2026. SLB says the purchase more than doubles its revenue opportunity per gigawatt of delivered data center capacity, and targets $4.5 to $5 billion of data center revenue by 2028. It now sells the equipment that cools the buildout.
AI for Energy

SLB and NVIDIA announced an AI Factory for Energy in March 2026. SLB serving as modular design partner for NVIDIA's AI data center architecture while building domain-specific foundation models and agentic AI systems that run on SLB's platforms to serve the entire industry.

SLB leads the ARIA Energy Index at 67/100, with a sector-high Implementation Depth score of 18/20. Across industrial automation, the large vendors have spent the past year buying their way into AI, with Schneider Electric folding a $3.1 billion Cognite acquisition and a roughly $350 million AiDASH deal into AVEVA to control the operations-intelligence layer of the plant (Forbes, August 7, 2026). A small set of vendors is coming to own AI for energy, and most operators have not yet priced the dependency that creates.
ARIA tracks both sides of the convergence. The ARIA Energy Index measures AI integration across 16 public energy companies. ARIA Compute tracks the economics of AI infrastructure: power constraints, cooling technology, compute economics, and supply chain dynamics. Together they give leadership teams an up to date outside view of this rapidly evolving structural shift.
New · Trajectories v1.1
Hypotheses stated in advance, scored in public.

Two futures the convergence could be heading toward, the Coalition of Scarcity and the World of Abundance, each grounded in how the major actors make money, and scored against eight indicators we update every quarter. The Q3 2026 read: investors keep behaving as if power is the moat, while the economic evidence keeps drifting the other way.

See the scoreboard →
Three ways intelligence fails
your leadership team
01
Too late
Quarterly reports and annual strategy reviews. By the time intelligence reaches leadership, the market has already moved and the window has closed.
02
Too much
Data dumps, dashboards nobody reads, signal buried in noise. More information just reproduces the same problem in a different form.
03
Not actionable
Interesting analysis with no "so what." Intelligence without expert interpretation and clear recommendations does not drive decisions. It creates doubt.
Continuous intelligence.
Expert synthesis.
Just in time.

ARIA is LG Strategy's strategic intelligence platform. It monitors your competitive landscape, market dynamics, and the forces reshaping your sector. The monitoring runs continuously, between reporting cycles as well as during them. LG Strategy's domain expertise is built into the platform itself: the questions ARIA asks, the signals it surfaces, and the way it filters what matters from what doesn't. That expertise then carries through to the recommendations your leadership team receives.

The intelligence ARIA produces is proprietary, shaped by deep domain knowledge and a systematic approach to signal construction that generic monitoring cannot replicate. The intelligence never stops. The expert layer is always on.

Who's actually integrating AI in the energy sector,
and what that signals for the broader convergence.

Not what companies say. What they do. The ARIA Energy Index scores organizations across five observable dimensions, drawn from public filings, earnings calls, job postings, patents, and regulatory disclosures. No surveys. No self-reporting. External data only.

SLB · 67
Sector Leader
48.5 / 100
Sector Median Composite
4 Companies
Active Implementers (60+)
What most leaders have today
What the ARIA Index delivers
Annual surveys, self-reported
External data: filings, transcripts, job postings
Periodic snapshots
Continuously updated as signals emerge
Company statements
Observable actions and disclosed outcomes
Generic sector coverage
Calibrated to each sector's transformation vectors
Opinions
Traceable to specific sources
ARIA Index · Early access
Register for early access: full sector scores, methodology, and quarterly updates. Free. No commitment.
Intelligence at
decision velocity

The same discipline, whether we're studying an industry or advising one company.

Every engagement and every published edition includes the same sequence. Our methodology was built across thirty years of watching organizations meet technological change.

01
Module configuration
Map the competitive landscape and industry economics: what customers pay for and which costs are structural. Assess what an AI-native competitor does differently in the market. Define the strategic question library for the client or industry, and configure ARIA to that context. Company and industry intelligence is built around what matters to clients.
02
Continuous monitoring
The ARIA platform watches the market continuously: competitors, signals, regulatory and technology moves that affect the decision points the question library identifies. We separate noise from meaningful change and interpret what remains with a dated evidence trail.
03
Expert synthesis
Build transformation models grounded in evidence. Support the executive decisions that follow: strategy, investment, acquisition. Help redesign the operating model so the organization stays responsive as the technology keeps moving. LG Strategy's domain expertise filters signal from noise and builds the strategic "so what": connecting intelligence to the decisions your leadership team faces.
04
Just-in-time delivery
Intelligence reaches you when it is relevant. Urgent signals trigger immediate briefings. Our aim is durable advantage, built as a standing capability.

ARIA is the operating system our team runs to drive strategy instrumentation at scale: continuous collection from filings, transcripts, hiring data, patents, and deal flow, scored against a configured question library, producing dated evidence instead of impressions. Each client engagement runs its own configured instance. The published research (Signals, Trajectories, the Observatory) runs on the same engine, and demonstrates strategy instrumentation in practice.

The sequence in practice: board-level competitive intelligence for a global testing and certification company. Investment thesis instrumentation for an energy-sector venture fund. And the published Observatory research, where the method runs in public and scores its own record.

Strategic Ingenuity

The published research and every client engagement run on the same engine, in separate instances. Client configurations and client data stay private. Engagements start where the research leaves off: your industry's structural shifts already mapped, your competitive landscape already instrumented.

The large consulting firms bring frameworks, scale, and analyst hours. The hyperscalers and platform vendors bring their own products and a strong incentive to sell them. LG Strategy brings principal-led work in service of one question: how your organization creates real value from technological innovation, integrated into the business rather than bolted on. The methodology is built with your team, and your team owns it when we're done.

01 · Pattern Recognition

Executive Advisory and Vision-Building

Ongoing counsel to CEOs and executive teams navigating structural change: a standing relationship.

02 · Strategy Development

Built With You

Board briefings and workshops. The evidence read against your company's own position, prepared for board consumption. A single session or a standing quarterly rhythm, with workshops so the team owns the roadmap and reports against it.

03 · Competitive Assessment

AI-Native Threat Assessment

A fixed-scope study of your industry's structural shifts and your organization's position against them, with the strategic probes defined and the monitoring instrumented to cover incumbent and AI-native threats.

04 · Continuous Intelligence

ARIA as the Backbone

Strategy without intelligence decays. A private ARIA instance configured to your strategic context: your competitive universe, your question library, weekly signal runs, quarterly board-level synthesis. The ARIA monitoring layer keeps your strategy connected to a moving market, tracking the signals that matter as your competitive landscape evolves.

Configurations

ARIA instances run today across three configurations: Compute, for infrastructure and data-center strategy. Enterprise, for large industrials and AI-native founders navigating transformation. Ventures, for investment firms instrumenting their theses.

The intelligence layer
your strategy has
been missing.
"The companies that win aren't smarter. They're better informed, they make better decisions, and they move faster."

Laurie Giandomenico studies how technological change alters the economics of industries.

Most companies know their direct competitors intimately, and analysts often study an industry through its largest companies. Technology now moves fast enough that the threat often arrives from a company that didn't exist five years ago. The difficulty is anticipating the moment a technology changes the economics of an industry. Laurie's work focuses on studying founders, new technologies, and capital flows for the earliest evidence of where value is moving.

Laurie is the creator of ARIA, a strategic intelligence initiative examining how advances in artificial intelligence, compute infrastructure, energy systems, and industrial technology are reshaping industries, enterprise value, and global competitiveness.

She has recently been working on board-level AI transformation at Bureau Veritas, and previously across national technology commercialization at MITRE, enterprise software at Pegasystems, and consumer growth strategy at McKinsey and as a consultant to Nestlé, Starbucks, and Unilever.

Request an
ARIA briefing

Tell us about your strategic context and we'll show you what ARIA looks like pointed at your competitive landscape.

Or email directly: lg@lgstrategy.com