Tag: Burson

  • The Global Reputation Economy by Burson

    The Global Reputation Economy by Burson

    About the paper

    This Burson report argues that reputation should be treated as a measurable corporate asset class, which it calls “Reputation Capital”.

    It is a mixed-methods, proprietary modelling report combining stakeholder input, brand tracking, media analysis and stock-market modelling; the methodology is more fully described than many agency papers, though some elements remain proprietary.

    The analysis covers 66 publicly traded companies, drawing on tens of thousands of stakeholders, and spans October 2024 to October 2025 across companies headquartered in the United States and other countries.

    Length: 30 pages

    More information / download:
    https://www.bursonglobal.com/p/reputation-economy

    Core Insights

    1. What is the report’s central argument about reputation, and why does Burson believe it matters now?

    The core argument is that reputation is no longer a soft, retrospective PR concept but a quantifiable form of capital that can be measured, managed and used as a strategic business asset. Burson argues that in a hyper-connected environment, where companies are exposed to constant scrutiny from legacy media, social platforms, activists and independent publishers, traditional reputation tools are too slow and too shallow. In that context, companies need something closer to near real-time intelligence rather than annual surveys or periodic brand tracking.

    The report therefore reframes reputation as “Reputation Capital”: an asset that can create competitive advantage, build resilience, support bolder decision-making and fuel sustainable growth. It also claims this asset matters not just to communications teams, but to investors, boards and corporate leaders because it can be linked directly to upside and downside in business performance.

    The deeper point is that reputation affects strategic freedom. Companies with strong reputations can absorb setbacks more easily, take bigger risks and retain stakeholder trust. Companies with weak reputations are more exposed: a single misstep is interpreted not as an exception, but as proof of a broader pattern. In that sense, the report presents reputation as a buffer, an enabler and a financial driver all at once.

    2. How does the report measure reputation, and what kind of evidence does it use?

    Burson presents this as a mixed model connecting three domains: stakeholder belief, media signals and financial outcomes. It says the model draws on tens of thousands of stakeholders, including consumers, business decision-makers and opinion leaders, using a comprehensive question set alongside daily brand tracking. It then combines that with large-scale monitoring of traditional and social media, described as terabytes of daily mentions, to build a media profile for each company. Finally, it links those inputs to stock performance by isolating the “unexpected return” in share price movement that cannot be explained by normal market trends or financial fundamentals alone.

    That is important because the report is not presenting original survey data alone, nor a pure media audit, nor a simple financial analysis. It is explicitly a mixed-methods modelling exercise designed to connect perception to business value. Burson says this is what allows reputation to move from an attitudinal concept to a leading indicator of performance. The model was also externally validated, according to the report, by Dr Felipe Thomaz of Oxford/Saïd Business School.

    At the heart of the model is an eight-lever framework: Products, Innovation, Financial Performance and Creativity on one side, and Leadership, Governance, Workplace and Citizenship on the other. Burson treats these as the building blocks of reputation and claims the framework can show not just how a company is perceived overall, but which levers are driving strength, weakness and business impact.

    3. What does the report claim about the financial value of reputation?

    The headline claim is that reputation produced an average of 4.78% in added, unexpected annual shareholder returns across the companies studied. Burson defines these returns as “unexpected” because they sit beyond what standard financial indicators such as revenue or margins would predict, and “additional” because the model attributes them directly to reputation.

    From that base, the report extrapolates to the wider market and estimates the global “Reputation Economy” at just over $7 trillion. It also says that, within its sample, the value of reputation varied widely by company, ranging from $2 million to as much as $202 billion. These numbers are used to support the broader thesis that reputation is not merely symbolic or narrative-based, but economically consequential.

    The report also argues that the biggest opportunity is not simply to maintain a good reputation, but to move from “Reputation Stagnation” into “Reputation Cultivation”. It groups companies into three categories: cultivation, stagnation and erosion. Roughly 60% of firms fall into stagnation, according to the report, suggesting that many companies are leaving value on the table because they lack a deliberate, data-driven reputation strategy.

    That framing reveals Burson’s perspective clearly: reputation management should be treated as value creation, not just risk mitigation. The report is effectively making the case for boards and leaders to think about reputation in capital-allocation terms.

    4. According to the report, what separates reputation leaders from laggards?

    Burson’s argument is that there is no single silver bullet. The biggest difference between leaders and laggards is not one lever but broad, disciplined strength across all eight. The report says the top quartile scores 11 to 15 points higher on every lever and that the gap between top and bottom performers is 13.8 points on a 100-point scale.

    Even so, three gaps stand out most strongly in the report’s description of a modern reputation leader: visionary innovation, excellence in product delivery and unimpeachable governance. Those are presented as the clearest markers of the firms that convert reputation into strategic advantage.

    What matters here is the report’s underlying assumption that reputation is systemic. Leaders do not just communicate better; they manage the organisation more coherently. Workplace culture supports innovation, governance underpins product quality, and credibility across the system gives leaders resilience. That resilience then changes the CEO’s risk calculus: strong-reputation firms can launch ambitious products, enter complex markets and recover from setbacks more easily because stakeholders grant them the benefit of the doubt. Laggards, by contrast, become defensive, incremental and strategically paralysed.

    So the report’s model of leadership is not glamour-driven. It is operational. It suggests that reputation leadership comes from sustained excellence, cross-functional consistency and the ability to avoid weak links.

    5. What are the report’s most important conclusions for sector strategy, workplace investment and AI?

    One of the most interesting parts of the report is its claim that industries have different “reputational centres of gravity”. Tech, for example, remains highly valuable in Reputation Capital terms and scores strongly on Products and Innovation, but its growth is now almost flat. Burson argues that tech’s future reputation gains will depend less on disruptive launches and more on Governance, Leadership and Citizenship, especially as AI raises broader social concerns.

    Other sectors reveal different lessons. Aerospace is presented as a comeback story built not just on better products, but on fixing foundational levers such as Governance and Workplace. Automotive is described as facing a “Citizenship Challenge”, where EV narratives are not enough if stakeholders see gaps in labour practices, safety, supply-chain ethics or broader societal impact. Finance is shown as especially vulnerable because it is declining across three protective levers at once: Leadership, Governance and Citizenship.

    The report’s strongest practical recommendation, however, is about the Workplace lever. Burson calls this the highest-ROI reputation investment because it is under-valued and under-invested, despite showing a large performance gap between best and worst performers. The argument is that employees are now the most credible carriers of company culture, so internal culture becomes a driver of external trust. In other words, the hidden engine of reputation is not the flashiest campaign, but the quality of the employee experience.

    That leads directly to the AI section. Burson says most companies discuss AI in terms of innovation and efficiency, but the more important reputational question is people. The report argues that a company’s AI strategy is effectively a statement about how it values employees. Firms that use AI for augmentation, reskilling and transparent co-creation with staff may gain a “reputation dividend”. Firms that use it mainly for opaque top-down cost cutting may pay a “reputation tax” through backlash, talent loss and weaker Workplace scores. The key question, in Burson’s words, is no longer whether a company has an AI strategy, but whether it has an “AI people strategy”.

  • Navigating the future of communication by Burson

    Navigating the future of communication by Burson

    About the paper

    The paper is a forward-looking trends report on how AI, media change, misinformation, data consolidation, Web3, and reputation risk are expected to reshape communications in 2025 and beyond.

    It appears to be a mixed secondary-analysis and thought-leadership report rather than original research: it synthesises external forecasts, surveys, risk reports, media articles, and Burson’s own strategic framing, but does not clearly specify a formal methodology, sample, fieldwork period, or a defined respondent base.

    The geographic scope is partly global and partly U.S.-centred: many headline claims are framed globally, but several examples and the closing policy section focus specifically on the United States.

    Length: 9 pages

    More information / download:
    https://www.bursonglobal.com/insights/global/navigating-the-future-of-communications-10-innovation-trends-for-2025-and-beyond

    Core Insights

    1. What is the report’s central argument about the future of communications?

    The core argument is that communications is entering a period of accelerated, technology-driven transformation in which AI is not just another tool but the main force reshaping how organisations understand audiences, manage risk, create content, monitor issues, and protect reputation. The report presents this as both a strategic opportunity and a survival challenge: communicators who adapt quickly will become more predictive, data-driven, and resilient, while those who do not risk falling behind in an increasingly volatile environment.

    Burson’s framing is not that one single trend dominates everything, but that several trends are converging at once. AI model improvement, agentic systems, fragmented media, misinformation, explainability, and proactive reputation management all reinforce one another. That means communications is becoming more complex, more technical, and more tightly connected to business strategy. The report repeatedly returns to the idea that communicators must move from reactive messaging to continuous monitoring, predictive analysis, and earlier intervention.

    The conclusion makes this explicit: future success depends on combining data-driven strategy with ethics, adaptability, and human judgement. In other words, the report argues that communications is becoming a more intelligence-led, risk-aware, and technologically mediated function, but one that still depends on trust, authenticity, and human connection.

    2. Which trends does the report identify as most important, and what practical shifts do they imply for communicators?

    The report’s ten trends are: rapid improvement in AI models and computing capacity; the rise of agentic frameworks; a shifting media landscape; data consolidation and intelligence; misinformation as a growing threat; the continuing importance of human expertise; explainable AI; cognitive AI for proactive reputation risk mitigation; convergence between Web3 and generative AI; and the growing importance of proactive reputation management.

    Taken together, these trends imply several practical shifts. First, communicators are expected to become more technologically fluent. The report says they must understand which AI models and tools to use for predictive messaging, crisis management, engagement, and analytics. Second, workflows are likely to become more automated through AI agents, but with a continued need for human oversight and authenticity. Third, media relations and social strategy can no longer focus only on established platforms; communicators need stronger social listening and broader platform awareness as the media environment fragments and becomes more politically charged.

    Fourth, the function becomes more data-intensive. Burson argues that communicators need stronger analytics capabilities and better integration of multiple data sources in order to spot patterns, measure performance, and anticipate issues. Fifth, reputation work becomes more preventive than reactive: predictive analytics, scenario planning, and faster response systems are presented as essential. Finally, the report suggests that communication leaders must build teams that blend AI literacy with strategic thinking, emotional intelligence, and crisis judgement. That is a notable shift away from seeing communications mainly as content production or media handling.

    3. What evidence and patterns does the report use to support its view of change?

    The report relies heavily on externally sourced statistics, market forecasts, and selected examples to create a picture of rapid acceleration. For AI, it cites projected global market growth to $2.58 trillion by 2032 and says training compute for leading models has doubled every six months. It also references recent model launches such as GPT-4.5, Gemini 2.5, and Gemini Robotics as evidence that capability is improving fast and expanding into more multimodal and physical-world applications.

    For media and misinformation, it points to Bluesky’s user growth, public concern about AI-driven misinformation, the spread of political deepfakes, and the World Economic Forum’s ranking of misinformation as the top short-term risk. These examples support a broader pattern: the information environment is becoming harder to control, less stable, and more vulnerable to manipulation.

    For data, trust, and reputation, the report cites enterprise adoption of real-time analytics, claims about efficiency gains from AI-driven data consolidation, projected growth in AI-powered risk-mitigation tools, and statistics linking strong reputation to faster crisis recovery and stronger purchase intent. The sector heatmap on page 7 adds another pattern: Burson argues that healthcare, technology, and financial services are likely to feel the strongest immediate impact from these trends, while trust-related issues such as explainability, misinformation, and reputation management matter broadly across sectors. Visually, the report uses charts and a heatmap to reinforce the idea that these changes are measurable, cross-sectoral, and already under way rather than speculative.

    4. What assumptions, perspective, and purpose shape the report?

    The report is clearly written from an industry advisory perspective. Its purpose is not only to describe future developments but to persuade communication leaders that they need to modernise their capabilities and invest in more advanced intelligence, monitoring, and risk-management approaches. The repeated “So what” sections show that the paper is designed as an actionable executive briefing rather than a neutral academic study.

    Its perspective is also shaped by Burson’s commercial position. The paper repeatedly frames the trends in ways that align with Burson’s services and proprietary tools, and later names products such as Sonar, Decipher, Flight School, and The Fount as solutions for the challenges described. That does not automatically invalidate the analysis, but it does mean the report should be read as strategic thought leadership with a business-development dimension, not as detached independent research.

    A further assumption running through the report is that more intelligence, more data integration, and more AI-supported foresight will generally improve communications outcomes. Another is that trust, transparency, and human judgement will remain crucial even as automation grows. The report therefore holds two ideas together: communications will become more machine-assisted, but legitimacy will still depend on explainability, credibility, and human expertise.

    5. What are the report’s main implications and conclusions for organisations and communication leaders?

    The main implication is that communications leaders need to rethink the function as an integrated capability spanning technology, intelligence, risk sensing, governance, and reputation strategy. This is no longer just about crafting messages; it is about building systems that can detect issues early, model likely reactions, respond quickly, and maintain trust across unstable media and political conditions.

    A second implication is organisational: teams will need reskilling. The report suggests that AI literacy, data fluency, and comfort with predictive tools will become baseline expectations, but that these must be combined with distinctly human strengths such as judgement, empathy, and crisis leadership. This implies changes in hiring, training, and operating models.

    A third implication concerns governance and trust. Because the report highlights misinformation, explainability, regulation, and political volatility, it suggests that communicators will increasingly sit closer to questions of ethics, compliance, public affairs, and executive risk management. The section on the 2025 U.S. administration makes that especially clear: communications is portrayed as operating in a more volatile regulatory and platform environment where policy shifts, moderation changes, tariffs, and infrastructure decisions affect both messaging and stakeholder trust.

    The final conclusion is that the winners will be the organisations that become proactive rather than reactive. Burson’s report consistently argues for earlier sensing, faster response, stronger data integration, and more scenario-based planning. Its ultimate message is that the future of communications belongs to organisations that can combine technological capability with transparency, agility, and human-centred judgement.