We connect changes
across the technology stack.

Independent technology analysis since 1969.

Silicon

Systems

Platforms

Software

Adoption

80%Trusted by 80% of the top 10 Fortune 500 technology companies.

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What we do

Technical change becomes useful when it is translated into a decision.

Market transitions are often misread because each layer gets analyzed in isolation. Our work starts with the operating constraint, follows it through the stack, and shows where the strategic pressure lands.

Executive counsel

We help leadership teams pressure-test strategy before a platform shift is fully reflected in the market.

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Market intelligence

We combine technical depth with customer behavior so the direction of travel becomes clear before the data is complete.

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Investor diligence

We turn infrastructure constraints and product transitions into a sharper view of business quality and market structure.

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Industry impact

Close to the decisions that built the technology industry.

Creative Strategies began in 1969. Our work has moved with the market, from early personal-computing research and the original IBM PC era to the full-stack economics of AI.

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1969Founded in Silicon Valley

1981Inside the birth of the PC industry

TodayMapping AI across the full stack

Creative Strategies research

Research that explains how change moves through the technology industry.

Analyst-grade intelligence on AI's full-stack impact. The work connects semiconductors to infrastructure, then follows the change into software and adoption.

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01 July 9, 2026

GPT-5.6, the Diligence Stack Agent Bench, and Why Practical Agent Benchmarks Need to Get Real

Most AI benchmarks still do a mediocre job of explaining how useful models are in the kinds of agentic workflows businesses actually care about. That is not because benchmarks are useless. They are useful. But many of them are still optimized around narrow tasks, coding-heavy environments, academic-

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02 June 24, 2026

Intel’s New G3 Extreme Shows Why PC Handhelds Will Keep Growing

I have a habit when I review gaming hardware: I use the review as an excuse to finally play something I have been putting off. The RTX 5090 was my excuse to play Alan Wake 2, and I loved that game. The MSI Claw 8 EX AI+ became my excuse to restart Marvel’s Spider-Man 2,…

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03 June 19, 2026

The Web Was Not Built for Agents. AWS Is Starting to Fix That

The web’s transaction model was designed for humans. You visit a page, see an ad, click a link, or buy something. Every monetization mechanism built over the past three decades, advertising, subscriptions, paywalls, affiliate revenue, assumes a person made a choice. That assumption is breaking. At A

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04 June 10, 2026

WWDC 2026: Apple Kept It Real

No Overpromising, Meeting Users Where They Are At WWDC, the expectation is for a long list of new features rolling across every OS Apple supports in its portfolio. This year, Apple reframed that. Rather than leading with what is new, the keynote centered on perfecting and homogenizing the experience

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Research portal · Coming soon

Research becomes more useful when you can interrogate it.

The coming portal turns the Diligence Stack corpus into a working surface. Ask a question, trace the citations, then move into the full report or maintained model when your access includes it.

01 Citation-backed answers across the research corpus
02 Live web context alongside maintained models
03 Direct paths into reports and subscriber tools

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The Diligence StackResearch portal

Example

Your question

What determines whether an AI factory earns an acceptable return?

Research agent4 cited sources

Useful utilization sets the floor for returns.

The return begins with useful utilization. Power, time-to-energize, and the workload mix determine whether purchased compute becomes productive capacity or stranded capital.

✓ 4 reports · 2 maintained models

[1] AI Factory Economics[2] Compute Utilization Model

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Creative Strategies, IncTechnology analysis and conversations

The useful question is what changes next, and what that should change for you.

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We connect changes
across the technology stack.