Insights vs. Sales Brochure

By13RESEARCH INSIGHTS · ISSUE NO. 05 · MAY 2026

If you have ever attempted to select a consulting firm, a technology vendor, a private bank, or a law firm based on their published "research," you are likely familiar with the pitfalls. You begin your search on Google, only to find yourself overwhelmed by white papers. The McKinsey article appears thorough; the boutique firm's publication seems equally credible. The bank's ESG report references 47 sources yet somehow suggests you should invest in their ESG fund. The law firm's so-called "original research" turns out to be a rehashed version of last year's regulatory alert.

After spending three hours, you gain no conclusive insights and revert to the brand you already trust. The market responds to this with a thought-leadership industry worth over $40 billion that primarily serves to recycle its own content.

13Research Insights aims to disrupt this cycle. Each month, we review the output from the largest research publishers, evaluate it through a consistent buyer's perspective, and inform you — candidly — whether the concept merits your time, your meeting, or your investment.

This edition features 20 publishers across five sectors: management consulting, technology & IT services, banking & financial services, law firms, and intergovernmental organizations. Each main article listed below is linked to its original source.

— The 13Research Desk

The 13Research Lens — How We Score

Every piece of corporate research in this issue is rated on five dimensions, each on a 1–5 scale. The dimensions are designed to surface the gap between research and marketing dressed as research.

We then issue a one-word verdict on reading this paper further:

ESSENTIAL The concept merits your attention.

POTENTIAL Valuable in specific circumstances or as an additional perspective.

PASSOVER This is merely promotional content disguised as research. You won't gain any valuable insights.

*Pitch Ratio: 1 = pure research, 5 = service-line advertorial. Lower is better.

Where the genre was invented. Also where the most polished sales-pitch-as-research is found. Read the institutes (MGI, Henderson) - skim the rest.

Featured this month: Redesign Work for People and AI, paired with MGI's running thread on the productivity paradox. The argument: most current AI applications "accelerate existing work" but "preserve underlying workflows" - real productivity gains require redesigning processes, not bolting AI on top. MGI estimates ~$2.9T in annual US economic value from AI by 2030, conditional on this redesign happening.

Why pay attention to this idea over others: MGI is the only consulting publisher that consistently subjects its own narrative to dissenting data. The work openly concedes earlier McKinsey adoption forecasts overshot - a level of self-correction you will not find at peers.

Watch out for: The accompanying "client implications" annex is service-line bait. Read the institute paper, ignore the annex.

Featured this month: The Corporate Strategy Function in an AI-First World. Argues ~80% of strategists' common tasks face high or medium AI exposure, and that AI's real value to strategy is supercharged information gathering, decentralized strategizing, and dynamic resource allocation - not "AI strategy" decks. Pair with Beyond Tomorrow: Four Scenarios for 2050 for the long-horizon view.

Why pay attention to this idea over others: Almost no peer is publishing on what AI does to the strategy function itself; most are still selling adoption playbooks. CSOs and strategy directors should read this before their next operating-model review.

Featured this month: Welcome to a New Era - Global Private Equity Report 2026 (17th annual edition, February 2026). Headline framing: "12 is the new 5" - today's deals demand faster EBITDA growth as multiple expansion and cheap debt fade. Just 13 megadeals ($10B+) accounted for 30% of the global total. The report is blunt about K-shaped recovery and hyper-competitive returns.

Why pay attention to this idea over others: Bain's PE report has been the genre's gold standard for a decade. The dataset disclosure is granular enough that you can challenge the conclusions; even when you disagree, you know where the disagreement lives.

Featured this month: Tech Trends 2026 (17th annual). Strong on aggregation (five interconnected forces: physical AI, silicon-based workforce, AI-first infrastructure, tech-org restructuring, AI security paradox). Weaker on sharp views.

Why you might still read it: Useful as a briefing primer. Best paired with Deloitte's separate CFO Signals quarterly survey, which remains best-in-class for sentiment data on US large-caps.

The category with the highest sales-pitch ratio in the corpus. Independent analysts (Forrester, parts of Gartner) and IBM's IBV are doing the genuine work; everyone else is selling.

Featured this month: Pulse of Change 2026, plus the running Technology Vision. Glossy, full of "X% of executives agree…" stats with sample disclosures buried in the back. The methodology consistently produces conclusions aligned with Accenture's transformation-services portfolio.

The honest summary: If you remove the pieces of this report whose conclusions don't sell an Accenture engagement, you have a five-page deck. Skim only if a board member references it.

Featured this month: AI Poised to Drive Smarter Business Growth Through 2030 (CEO Study, Vol. 30). Survey of 2,007 senior executives across 33 geographies and 20 industries. The hook is uncomfortable: 79% expect AI to materially contribute to revenue by 2030, but only 24% can say where that revenue will come from; 68% worry their AI efforts will fail due to weak integration with core business. Only 25% of AI initiatives delivered on expectations over the past three years.

Why pay attention to this idea over others: IBV has been the most disciplined survey-research shop in tech for two years. Sample sizes are large, methodology is disclosed, and they publish the failure stories most peers bury.

Featured this month: Hype Cycle for Emerging Technologies, 2026. The four-theme frame this year (autonomous business, hypermachinity, augmented humanity, techno-societal fragility) is sharper than recent vintages. As predictive analysis the Hype Cycle still has a mediocre track record (post-mortems on 2018–2022 cycles show ~40% of "plateau in 2–5 years" calls were wrong).

How to use it: Treat as a vocabulary alignment tool, not a procurement input. The Magic Quadrants underneath it are the actual buy signal.

Featured this month: The State of Business Buying, 2026. Sober, evidence-based update on how B2B purchase decisions actually get made. Buying groups now average 13 internal stakeholders + 9 external influencers. Generative AI is the single most-cited interaction type for purchase research, but buyer trust is split: 36% feel more confident with GenAI in the loop; 20% feel less. Procurement is now a decision-maker in 53% of B2B cycles. 60%+ of buyers use trials as a risk-reduction tool.

Why pay attention to this idea over others: Forrester is one of the few publishers willing to publish data that contradicts its own previous calls.

The category with the highest analytical depth on average - but watch carefully: the conclusions often correlate with whatever the bank is positioned to sell or finance.

Featured this month: Why AI Companies May Invest More than $500 Billion in 2026, alongside What to Expect From AI in 2026: Personal Agents, Mega Alliances, and the Gigawatt Ceiling. The blunt message: hyperscaler capex is on track for ~$527B in 2026 (some estimates as high as $700B); consensus has under-estimated capex two years running; power becomes the binding constraint by year-end.

Why pay attention to this idea over others: Goldman's research desk publishes against-house-view pieces more often than any other Wall Street shop. That's a credibility tell.

Featured this month: Eye on the Market Outlook 2026: Smothering Heights by Michael Cembalest. Maps four risks for the year (US power-generation constraints, China decoupling, Taiwan, hyperscaler profitability) and frames a "moat" of NVIDIA, TSMC, AMD, ASML. Cembalest remains the single most reliable byline in bank research - equal parts data, history, and willingness to puncture his own bank's marketing.

Featured this month: How 2026 Tax Refund Increases Could Boost Consumer Finance, drawing on the AlphaWise US Consumer Pulse. Tax-code changes lift expected refunds to ~$3,500 (from $2,940 in 2025), totalling ~$350B. Useful primary survey infrastructure. The published version is heavily abridged from the institutional version.

Best for: Consumer-facing strategy teams and CMOs.

Featured this month: Q2 2026 Investment Outlook. Two mega-forces (AI and geopolitical fragmentation) frame the piece. Overweight US equities; the asset-allocation conclusions tend to align with BlackRock's product flow. Cross-read against Goldman or JPM before forming a view.

The most underrated research category for strategic decision-makers. The good firms publish original regulatory analysis you cannot get anywhere else; the lazy firms recycle "client alerts." We separate them below.

Featured this month: Global M&A Insights: Dealmaking Momentum on the Rise, paired with Lighter-Touch Merger Control. Draws on partners across nearly 50 offices in 28 countries. Headlines: EU regulatory reform (Digital + Defense Readiness Omnibus) as a 2026 deal catalyst; Australia's new mandatory suspensory merger regime (effective Jan 2026); rising influence of sovereign wealth in PE.

Featured this month: AI Resource Hub + the PE Firms Eye AI brief. Latham's litigation chair (Michele Johnson) frames 2026 as "more litigation, more AI, more cross-border." The firm is on the front line of the cases that will define fair-use and copyright boundaries in generative AI - representing Anthropic and advising OpenAI on multiple high-profile matters.

Featured this month: PE practice insights and a string of partner moves signalling where Kirkland sees deal flow (continuation funds, take-privates, infrastructure). Solid practitioner read; light on data. Best paired with the Bain PE outlook above.

Featured this month: EU Guidance Suggests Firms May Need to Train Clients and Service Providers on AI. With the EU AI Act enforcement gate of 2 August 2026 approaching, Linklaters' financial-regulation team is mapping AI-literacy obligations and how the EBA is reconciling the Act against existing financial-services rules. If you operate in the EU, this single piece replaces three webinars.

Lowest sales-pitch ratio in the entire corpus - these institutions don't have a service line to sell. The trade-off is slower update cycles and a narrative tilt toward their funder constituency. Read for baseline data, not for sharp commercial views.

Featured this month: Future of Jobs Report 2025 (the live edition, with 2026 sector updates). 1,000+ employers, 14M+ workers, 22 industry clusters, 55 economies. Headline: 22% job churn by 2030 - 170M created, 92M displaced, net +78M. Skills gap remains the #1 transformation barrier; 39% of skill profiles will change.

Use case: Workforce planning, HR strategy, location decisions.

Featured this month: Pillar Two: Side-by-Side Package (released January 2026), with implementation tracking here. New simplification measures, a substance-based incentive safe harbour, UPE safe harbour, and an evidence-based stocktake to maintain a level playing field. Tax, treasury and FP&A heads should read this.

Featured this month: Global Investment Trends Monitor No. 50 (January 2026), bridging to the World Investment Report 2025. Headline: global FDI rose 14% to ~$1.6T in 2025 - but ~$140B of that is conduit flows through global financial centres; strip those and underlying FDI is up only ~5%. If you're making any cross-border capital-deployment decision, this is the baseline.

Featured this month: Global Economic Prospects, January 2026 (the latest live edition; June refresh forthcoming). Global growth projected at 2.6% in 2026, 2.7% in 2027 (upward revision from June). Developing-economy growth slows to 4.0%. The decade is on track to be the weakest for global growth since the 1960s. If your strategy assumes a single "EM growth story," this report breaks it.

Three head-to-head comparisons our subscribers asked for this month.

"AI ROI is disappointing" - IBM IBV vs. Accenture Pulse of Change

Both publishers landed near the same headline this month. Read IBV. IBV discloses sample (n=2,007), methodology, and failure-mode breakdown. Accenture's parallel piece reaches a similar surface conclusion but routes every implication to a service line. If you want a board-quotable stat, both work; if you want a diagnostic, only IBV gives you one.

"What does the PE market look like in H2 2026?" - Bain vs. Kirkland & Ellis

These are complementary, not substitutes. Bain gives you the macro and capital-flow data ("12 is the new 5"). Kirkland gives you the deal-mechanics and regulatory friction view. If you only have time for one and you're an LP or principal investor, read Bain. If you're an operating-company board navigating a take-private, read Kirkland.

"Is gen-AI productivity real?" - McKinsey MGI vs. BCG Henderson

MGI's piece is rigorous on the supply side (firm productivity diffusion). Henderson's piece is original on the demand side (the strategy function itself). They are not in conflict - they are answering different questions. Read both. If you have to choose, the Henderson piece will reframe more meetings because almost no one else is publishing on AI's effect on the strategy function itself.

Five signals that the "research" in your inbox is closer to a deck: