Juan Pablo Delgado shares commentary on business and technology trends, including generative AI for small businesses, AI adoption in Brazil, cybersecurity spending, and how companies make decisions.
Useful for interpreting third-party business and technology reports into executive-level questions about AI adoption, cybersecurity, and decisions.
Best for
A B2B technology consulting firm running thought leadership on AI adoption and security for executives at mid-size companies.
Not for
Security product or developer tools vendors needing hands-on technical content, tutorials, configuration guidance, or benchmarks.
Key takeaways
Generative AI may help small businesses create product descriptions, visuals, and marketing content at lower cost.
Brazilian companies reported 41% AI adoption, compared with a 35% global average.
Projected 15.1% rise in global information security spending in 2025.
Check first: Confirm underlying reports, audience demographics, post-level engagement data, and commercial partnership terms before contacting them.
Main ideas
Generative AI can give smaller businesses access to capabilities they could not afford before · AI adoption depends on business and regional context · Technology decisions connect to risk, skills, and preparation
Juan Pablo Delgado shares LinkedIn commentary on business and technology trends.
Across four posts, they focus on generative AI, business decision-making, AI adoption in Brazil, and cybersecurity.
The clearest recurring thread is how technology and changing business priorities affect companies: one post describes how generative AI could help small businesses create product descriptions, visuals, and marketing content at lower cost; another connects AI adoption with rising security concerns.
Delgado typically selects findings from a third-party report, highlights relevant figures, and ends with a practical takeaway or question.
Juan Pablo Delgado connects trend-level claims to concrete business questions.
They move from adoption figures to what they might mean for a company, as in the post comparing Brazil's reported 41% AI adoption with a 35% global average, and from security forecasts to a question about preparation.
The small-business example makes the potential value of generative AI tangible, while the business-decision post highlights values, reputation, and vendor choice.
The approach is accessible and useful for readers tracking business implications, though the posts mainly summarize selected findings.
For campaign planning, ask for the underlying reports.
Delgado’s posts frame technology through business decisions: generative AI may give smaller companies access to useful capabilities, while adoption and security priorities vary by market and business need.
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They also highlight how values, reputation, and ESG concerns shape vendor choices. Across these examples, Delgado selects findings from outside reports and turns them into brief takeaways or questions rather than presenting a detailed technical framework.
Generative AI can give smaller businesses access to capabilities they could not afford before
Delgado presents AI as a way to narrow the resource gap between small companies and larger competitors, focusing on practical business uses rather than technical novelty.
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Delgado points to a small store using generative AI to create product descriptions, visuals, and marketing while keeping costs in check. They describe AI as more than a tool, calling it an “Agent” and a “Mastery of Information.”
AI adoption depends on business and regional context
Delgado uses adoption figures to show that companies are at different stages of AI adoption, rather than treating it as uniform.
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Citing an IBM study, Delgado says 41% of companies in Brazil had actively implemented AI, compared with a global average of about 35%, and describes Brazil as competitive globally.
Technology decisions connect to risk, skills, and preparation
Delgado links rising security investment to AI-related threats and a shortage of skilled workers.
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They raise the need to prepare; ask what mitigation plan they recommend.
Delgado cites projections of a 15.1% increase in global information-security spending in 2025 and generative AI playing a role in 17% of cyberattacks by 2027. They note that the skills shortage is driving growth in security services and ask how businesses should prepare.
Delgado highlights that vendor decisions are not only about products: personal values, ESG performance, brand image, and reputation can also matter.
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In a summary of a CNN International Commercial report, Delgado says 81% of business decision makers are influenced by a vendor’s reputation and 61% of businesses have changed or planned to exit supplier relationships over unethical practices or poor ESG performance.
This is the clearest statement of the working thesis behind the other posts: AI as an equalizer for smaller companies.
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Start here to understand their argument.
Juan Pablo Delgado argues that generative AI puts previously unattainable capabilities within reach of small and medium-sized businesses.
They cite content creation as a concrete case: a small store can now produce product descriptions, visuals and marketing copy while keeping costs down.
The post closes with a question, describing AI less as a tool than as an “Agent” and a “Mastery of Information.”
For brands planning a campaign
A useful anchor for a thought leadership piece aimed at SMB audiences: the specific content-creation example can carry a case study rather than an abstraction.
The post shows how they handle research: find the report, isolate the findings that could change a decision, and turn them into a takeaway rather than repeat the summary.
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It also previews buyer-behaviour themes that recur in the other posts.
Delgado reviews the CNN International Commercial report on business decision-makers and highlights the findings: 87% of decision makers under 35 place importance on personal values, compared with 80% of those aged 35-50 and 75% of those over 50; 78% are influenced by brand image and 81% by reputation when choosing a new vendor; 61% of businesses have changed or plan to exit supplier relationships over unethical practices or poor ESG performance. The takeaway: stay informed and be willing to adapt.
For brands planning a campaign
A strong source for a partnership framed around vendor selection and ESG-driven buying. The specific percentages give a sponsor quotable material for a campaign hook.
This post answers a narrower question: where does AI adoption stand, and how does one market compare with the rest?
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It can help marketers gauge how mature the audience for AI services is.
Delgado cites IBM figures showing average global AI adoption at about 35%, compared with 41% in Brazil, slightly above the global average.
They also note the U.S. as a leader driven by heavy investment in AI research and development.
The takeaway is that Brazil is performing well regionally and is competitive globally.
The post asks whether readers' companies use AI tools for innovation.
For brands planning a campaign
A natural entry point for a regional campaign: a Latin American or Brazil-focused AI partnership could build on the adoption gap, while the closing question offers an engagement prompt.
It connects AI adoption to security risk and spending, giving brand-side readers a reason to consider AI and cybersecurity in the same conversation.
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Delgado lays out three linked forecasts: global information security spending rising 15.1% in 2025; generative AI playing a role in 17% of total cyberattacks by 2027; and the cybersecurity skills shortage driving faster growth in security services—consulting, professional services and managed security—than in other security segments. The post asks how businesses should prepare.
For brands planning a campaign
The strongest fit for a campaign pairing AI adoption with cybersecurity strategy: the spending and attack-share figures give a consulting partner a reason to open a client conversation.
Cybersecurity spending, AI-enabled attacks, and skills shortages2
Business decision-making, values, and vendor selection1
Generative AI for small-business content and marketing1
AI adoption and digital transformation
Juan Pablo Delgado treats AI adoption as a business decision shaped by company size, regional context, and priorities.
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One post argues generative AI can help smaller companies access capabilities such as content creation that were previously out of reach, while another cites an IBM study saying 41% of companies in Brazil have actively implemented AI, above a global average of about 35%. A separate report summary notes that 81% of business decision makers prioritize digital transformation.
Summarizes third-party research and adds short takeaways rather than presenting a proprietary framework.
The Brazil post compares national adoption rates; ask for industry- and company-size breakdowns if those matter to the campaign.
For brands planning a campaign
A B2B technology consulting firm can use this as a thought-leadership angle on practical AI adoption, especially for small and midsize businesses or Latin American audiences. Delgado’s posts offer executive-level framing; a partner should bring implementation depth and original data to the collaboration.
Cybersecurity spending, AI-enabled attacks, and skills shortages
Delgado highlights a projected 15.1% increase in global information security spending in 2025, the expectation that generative AI will play a role in 17% of cyberattacks by 2027, and a cybersecurity skills shortage that is pushing investment toward consulting, professional services, and managed security services.
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The post closes by asking how businesses should prepare.
Combines a market forecast with a direct discussion question aimed at business readers.
The post states projections but does not include the underlying methodology or full source details; ask for these if they are important to the campaign.
For brands planning a campaign
Cybersecurity vendors and services firms can evaluate Delgado for executive-education content that connects market forecasts to preparation questions. The post summarizes projections but offers no detailed mitigation plan, so pair Delgado with a practitioner or product expert who can outline concrete steps.
Business decision-making, values, and vendor selection
A report summary on The Business Decision Makers’ Mindset covers generational differences in personal values, ESG as a strategy driver, and the influence of brand image and reputation on vendor choice.
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Specific claims include 87% of decision makers under 35 placing importance on personal values, 61% of businesses having changed or planning to exit supplier relationships over unethical practices or poor ESG performance, and 81% being influenced by reputation when choosing a new vendor.
Extracts selected statistics from an external report and organizes them into a short list of decision-making themes.
The post reports generational and ESG findings without describing the full survey sample, geography, or methodology.
For brands planning a campaign
Brands selling to other businesses can evaluate Delgado for partnerships on buyer-mindset research, values-led positioning, or ESG-related vendor selection. The material suits thought leadership that translates survey findings into practical sales, marketing, or procurement implications rather than a technical deep dive.
Generative AI for small-business content and marketing
Delgado argues that generative AI is helping smaller companies level the playing field, using content creation as the main example.
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The post says small and medium-sized businesses can use generative AI for engaging product descriptions, visuals, and marketing while controlling costs, and describes AI as “not just a tool” but “an Agent” and a “Mastery of Information.”
Uses a short argument and a single business function—content creation—to illustrate generative AI’s accessibility for smaller companies.
The post names no small-business client or before-and-after performance result. Ask for case-study evidence if the campaign needs substantiation beyond a directional claim.
For brands planning a campaign
SMB software, marketing agencies, and AI tool providers can assess Delgado for content on practical, cost-conscious AI use in marketing and operations. The angle is accessible and benefit-led; provide concrete workflows or measurable examples to move beyond broad claims.
Across these posts, Delgado’s recurring format is a third-party research summary followed by a short takeaway and, sometimes, a direct question to readers.
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The subjects stay at the business and strategy level: AI adoption, cybersecurity investment, decision-maker values, and vendor selection.
Report-based commentary with bullet-point findings and reader-facing questions.
Publication dates were not included in the provided evidence; ask for them if the sequence of posts or changes in emphasis over time matter to the campaign.
For brands planning a campaign
A brand can evaluate Delgado as a concise interpreter of market trends for a business audience. Their posts draw on external reports and broad implications; if the campaign calls for original thought leadership rather than commentary, specify the research, data, or expert access the brand will contribute.
The posts show no documented sponsorship, employment, client, affiliate, or owned-business relationship.
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IBM, Gartner, and CNN International Commercial appear as publishers of research the posts summarize or link to, not as commercial partners, employers, or sponsors of Juan Pablo Delgado. Ask them to confirm who they work for or with.
Juan Pablo Delgado writes short LinkedIn posts summarizing third-party research on AI adoption, cybersecurity, and how business decision-makers weigh values, reputation, and technology priorities.
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Their recurring format pairs a market finding with a business implication, often ending with a question or takeaway.
For cybersecurity operations, compare their posts with Peter Rodenhauser’s case-based lessons; for B2B decision-maker psychology, see Leanne Regalla’s writing-focused posts.
Kirill Sirenko covers broad Brazil market and AI opportunity overviews in a more promotional listicle style.
Both write short LinkedIn posts that translate technology and security developments into questions business leaders should be able to answer.
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They focus on cybersecurity, risk, and how organizations make decisions under pressure.
Rodenhauser builds posts around named incidents and compliance cases, such as the Honeywell settlement and a dental network breach, then asks how leaders verify commitments and incident readiness. Delgado more often summarizes third-party research and market forecasts, using broad adoption figures and report takeaways rather than case-specific operational lessons.
Both discuss AI and business opportunities in accessible posts, including the Brazilian market and practical applications of AI for companies.
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Sirenko writes broad sector overviews and promotional-style listicles, such as “Top 10 Business Opportunities” and “Transforming Retail Through AI,” often with a market-entry or retail innovation angle. Delgado tends to summarize specific third-party studies and add a takeaway or question, with less promotional framing and more emphasis on decision-maker research.
Both analyze how business decision-makers think and what influences their choices.
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Their short, educational LinkedIn posts explain concepts and apply them to marketing or sales contexts.
Regalla focuses on copywriting and message design for different decision-maker personalities, offering practical writing advice and occasional personal asides. Delgado focuses on technology adoption, cybersecurity, and market research, often citing report statistics rather than writing craft.
For a B2B technology consulting firm considering a thought leadership partnership on AI adoption and cybersecurity strategy, four LinkedIn posts show consistent attention to AI adoption, cybersecurity spending, and business decision-making.
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The only published audience figure is a LinkedIn profile snapshot of 3,711 followers observed on 8 October 2026; it indicates reach size, not whether followers match the target audience.
Request a recent audience survey or platform demographic report covering followers’ employers, job functions, seniority, geography, age, and gender, plus post-level engagement data for comparable AI and cybersecurity thought-leadership posts.
If those are unavailable, judge fit from the content themes alone and run a small sponsored test before committing.
LinkedIn followers
3,711
LinkedIn profile snapshot; not a post-level engagement metric · 2026-10-08
The posts do not say whether Juan Pablo Delgado has a sponsorship policy, media kit, rate card, or disclosed commercial partnership terms.
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The four LinkedIn posts are third-party research commentary: a CNN International commercial report on business decision-makers, an IBM study on AI adoption in Brazil, a Gartner-linked projection on information security spending, and a note on generative AI for small and medium businesses.
None announces a paid partnership, brand collaboration, or sponsored format.
They show a working style a buyer could use: short, structured summaries of research and reports, each built around two or three quoted findings and a stated takeaway, with an external link to the underlying source.
That format suits a thought leadership campaign on AI adoption and cybersecurity strategy, with a concise interpretation of a report or trend rather than a long original essay.
Before proceeding, ask about the inquiry route, pricing, turnaround, exclusivity, approval process, and placement requirements.
Strong fit, on one condition: the firm supplies the research and practitioner depth; the creator supplies the interpretation and executive framing.
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Brief
A B2B technology consulting firm wants a thought leadership partnership on AI adoption and cybersecurity strategy, aimed at executives at mid-size companies.
Reasons
The posts show the exact working move this campaign needs.
Each takes a third-party report, isolates two or three findings that could change a budget or buying decision, gives a short takeaway, and ends with a question for business readers.
The information-security post tackles the campaign’s central challenge—linking AI adoption to security strategy—by connecting AI adoption to security spending and showing where the money is moving.
It reports a projected 15.1% rise in global information security spending in 2025, generative AI appearing in 17% of cyberattacks by 2027, and the skills shortage driving faster growth in consulting, professional services, and managed security than in other security segments.
That is the bridge between AI and cybersecurity a consulting firm would want to build on.
The IBM post adds regional framing: about 41% of Brazilian companies have actively implemented AI, against a global average near 35%, useful if the audience includes Latin America.
The business decision-maker post offers buyer-behaviour figures a campaign can quote: 81% are influenced by reputation and 78% by brand image when choosing a vendor, while 61% of businesses have changed or plan to exit supplier relationships over unethical practices or poor ESG performance.
The format also fits.
The creator already publishes short report interpretations with bulleted findings and a clear takeaway, so a sponsor can provide the report or expert access and get a piece in the creator’s own register.
The posts contain no original dataset, named client case study, or implementation detail.
If the firm wants a how-to deliverable, ask it to provide a practitioner or in-house expert.
When to choose a specialist
Poor fit based on the posts.
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Brief
A security-product vendor or developer-tools company wants hands-on technical content: implementation tutorials, configuration guidance, a proof-of-concept walkthrough, or a benchmark comparison with measurable client outcomes.
Reasons
The four posts show no technical demonstration, code, architecture, methodology, or reproduced benchmark.
Each comments on someone else’s report.
The cybersecurity post states projections and asks how businesses should prepare, but offers no steps.
The small-business AI post names content creation as a use case and stops there: no workflow, tooling detail, before-and-after numbers, or named client.
A vendor hiring for a practitioner role would be paying for work the creator has not been shown to do.
The posts also pitch at decision-maker altitude—market size, budget direction, adoption rates, and vendor-selection factors—while a practitioner audience wants more technical depth.
Commercial planning is unverifiable: the posts include no media kit, rate card, sponsorship disclosure, exclusivity term, or inquiry route.
Ask for the creator’s turnaround, approval process, and cost before committing.
Pair the creator with a technical co-author or choose someone whose posts show implementation.
A worked campaign example
Angle
“Where the security budget is going before the AI attacks arrive.” The premise: security spending is rising 15.1% in 2025 and generative AI is projected to appear in 17% of cyberattacks by 2027, but the money is not going mainly to tools. The skills shortage is pushing growth into services, so the useful question for a buyer is which of three lines they will actually need: security consulting, professional services, or managed security. The post closes with a direct question to readers: which of the three would your company buy in the next 12 months, and who inside the company signs that decision.
Brief
Same good-fit brief: a B2B technology consulting firm seeking a thought leadership partnership on AI adoption and cybersecurity strategy for an executive audience.
Published shape
One post following the pattern already visible in the reviewed work: a two-line premise, three or four bulleted findings with specific numbers, one short takeaway sentence, one direct reader question, and one external link. If the firm wants a series, run three posts on the same spine—one each on adoption rates, spending and attack share, and the skills gap—each ending with a question and linking to the firm’s longer report as the anchor.
Why it works
It applies the creator’s proven move—translating a report into a decision—to the precise subject overlap the campaign is selling: AI adoption and security strategy in one conversation. The consulting firm brings the research and a practitioner who can answer the closing question; the creator brings the executive framing and concise structure. That makes the piece original rather than a restatement, as the posts are on their own. The closing question invites engagement and gives the firm a lead signal for follow-up. Treat the first piece as a test: ask for audience composition and per-post engagement figures for comparable posts, which are not reported here. Confirm commercial terms directly with the creator before committing; the posts publish no rate, turnaround, exclusivity, or inquiry channel.
Choose Peter Rodenhauser for a campaign aimed at executives reviewing resilience, incident response, and contract compliance when the client wants the cybersecurity half carried by an operations-and-governance argument rather than adoption data.
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One post reads the Honeywell cybersecurity settlement as a lesson about the gap between what a company commits to and what its teams actually operate, and asks how leadership verifies that commitments trace to people, processes, and evidence.
The other takes a disclosed network intrusion at Park Dental Partners and asks who holds decision rights, when each team engages, and whether everyone would know their responsibility if unauthorized access were found today.
For a consulting firm targeting these executives, the pieces put the security question in terms a leadership team already owns: ownership, escalation, documentation, and coordination.
The closing questions match the campaign’s engagement device, and a firm bringing practitioners or an assessment offer gets a partner who already talks to that buyer at that altitude.
The subject range is narrower than the campaign: the posts offer no AI-adoption commentary, market sizing, third-party report interpretation, or bulleted findings.
A firm selling an AI-adoption-plus-security-strategy partnership must supply that half itself.
The pieces are short analytical notes about named events, not report summaries, so the series spine would need rebuilding.
Ask for audience demographics, engagement figures, and commercial terms before booking.
Choose Kirill Sirenko for a campaign aimed at overseas companies assessing Brazil or retailers weighing AI investment, if the campaign can shift from security strategy to market entry.
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The posts are sector overviews: one lists ten Brazilian sectors — agribusiness, renewable energy, technology, infrastructure, healthcare, consumer goods, education, financial services, tourism, environmental services — as openings for foreign companies; the other walks through AI in retail: personalization, chatbots, dynamic pricing, inventory and supply-chain optimization, visual search and augmented reality, fraud detection, and trend forecasting.
A consulting firm working with overseas companies assessing Brazil or retailers weighing AI investment can use that framing directly.
Each post is written for a business reader weighing whether to enter or invest, the same reader the campaign targets.
The retail piece covers the campaign’s AI side in a way the posts by the first alternative do not.
The security half of a campaign combining AI adoption and security strategy disappears: neither post addresses cybersecurity strategy, security spend, or the skills shortage.
The pieces are broad overviews without cited sources, specific figures, or named cases, so they cannot carry the report-interpretation style the campaign expects.
A sponsor wanting an authoritative security angle would need to bring the evidence.
Both posts date from early 2024; ask how the creator currently frames these subjects, and request audience composition, engagement data, and commercial terms before booking.
Choose Leanne Regalla when the firm needs messaging guidance rather than subject-matter authority.
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The posts form a short series on how different B2B decision makers read web and sales copy: emotional and fast, logical and fast, logical and slow, emotional and slow, and what a conversion copywriter builds into the top of a page versus the rest of it.
For a consulting firm that already has the AI and security substance and needs a partner to teach its audience how buyers read a proposal, a vendor comparison, or a threat report, this applies the same reader-focused approach through a different skill.
The posts end with concrete reader prompts and an offer to look at someone's own copy, matching the campaign’s engagement pattern.
No AI or cybersecurity content appears in the posts, so topic overlap with a campaign on AI and cybersecurity is zero.
The writing focuses on B2B messaging, with personal asides such as music references and a newsletter call to action in the post itself; a sponsor expecting analyst-style output would need to account for that.
The audience implied is marketers and founders rather than security or technology executives.
Request audience data and commercial terms before booking.
The four LinkedIn posts by Juan Pablo Delgado cover generative AI for small and midsize businesses, IBM figures on AI adoption in Brazil, the CNN International Commercial business decision-maker report, and projected information security spending.
The posts have no publication dates.
The reports they cite — IBM, Gartner, and CNN International Commercial — are not presented here, so the report content appears here only as Delgado's summaries of selected findings.
The posts provide no audience demographic breakdown, per-post engagement figures, media kit, rate card, sponsorship disclosure, or inquiry route.
Nothing in the posts identifies a signature book, show, business, or earlier career work beyond these posts, and no sponsorship, employment, client, or ownership relationship is disclosed.
The posts do not establish Delgado's broader public identity; this page summarizes the four posts, not a complete public record.
