The financial industry has become extraordinarily efficient at classifying headlines as positive or negative. Millions of articles can now be scored in seconds. Entire signal stacks are built on aggregating tone and translating it into buy or sell decisions. Unfortunately, markets no longer care that much. In an environment where narrative often moves ahead of fundamentals, reducing perception to polarity is not merely incomplete – it is structurally misleading. The assumption that “negative equals risk” ignores a deeper truth: markets react to influence, not adjectives.

If narrative has become a first-order valuation driver, then measuring it with first-generation sentiment tools is like using a thermometer to predict a hurricane. You may detect a temperature shift. You will miss the storm system forming offshore. Not all stories are equal. Markets know it – even if many models do not.

The Whisper vs the Broadcast

Imagine two negative articles about the same company. The first appears on a small industry website. The language is sharp and critical. A traditional sentiment model flags it as deeply negative. The second appears in a major global financial newspaper. The tone is measured and factual. But it is read by institutional portfolio managers, credit analysts and regulators. It appears in morning briefings. It is referenced in research notes. It shapes questions on the next earnings call. The first article may score as “more negative”. The second is far more likely to move the stock. Because markets do not price linguistic intensity. They price distribution scale.

Boeing: When Amplification Changes the Trade

We saw this clearly with Boeing in early 2024. Operational concerns and manufacturing oversight issues circulated within specialist aviation media well before the story became globally dominant. Early coverage was often more emotionally charged than later mainstream reporting. Yet the stock reaction was initially contained.

Only when the narrative crossed into high-reach financial outlets – reaching institutional allocators at scale – did volatility expand meaningfully. Boeing shares fell roughly 10% within a week of the 737 MAX 9 incident dominating global headlines and went on to decline more than 30% over the year. The underlying backlog did not evaporate overnight. Revenue guidance did not collapse immediately. What changed was amplification.

Coverage volume surged multiple standard deviations above its historical baseline. Institutional risk models reacted. Credit spreads widened. Portfolio managers adjusted exposure. Amplification turned commentary into impact.

Abnormal Coverage, Abnormal Volatility

This dynamic is measurable. When coverage expands far above its historical norm – not just in tone but in velocity and scale – volatility regimes frequently shift. In the highest deciles of abnormal coverage intensity, average intraday trading ranges can widen by 30–50% relative to baseline periods. Implied volatility often reprices upward even when aggregate sentiment remains only moderately negative. Markets respond more consistently to abnormal distribution intensity than to raw polarity scores. That is not anecdotal. It is structural.

A mildly negative narrative that suddenly reaches millions of decision-makers can trigger greater price dispersion than a strongly negative story that never leaves a niche corner of the media ecosystem. Magnitude correlates with reach.

Meta and the Power of Saturation

Meta provides another example – this time on the upside before reversal. In 2021, the “metaverse” narrative expanded aggressively across global media. Coverage velocity and amplification intensity reached extreme levels. Shares traded near $382 despite slowing advertising growth and surging capital expenditure. When the narrative collapsed in 2022, the stock fell to roughly $88 – a 77% drawdown – long before earnings had fully reflected the long-term cost structure.

The turning point was not a single headline. It was the saturation and reversal of narrative momentum. Coverage acceleration slowed. Amplification turned skeptical. Institutional belief shifted. Narrative intensity moved first. Fundamentals adjusted later.

Audience Composition: Markets Are Not Democratic

Institutional markets are not egalitarian ecosystems. Coverage reaching global asset managers, sovereign funds and credit desks carries different economic consequences than coverage confined to retail commentary channels. A moderately negative article in a top-tier financial publication may influence billions in capital allocation decisions. A strongly negative article in a low-reach outlet may not move institutional positioning at all.

Audience composition determines transmission strength. Sentiment models rarely differentiate between audiences. Markets always do. Relevance compounds this effect. A company mentioned in passing within a macro article rarely experiences sustained repricing. A headline centered entirely on its litigation, governance or earnings trajectory carries exponentially greater influence. Yet basic polarity systems treat both as equal units of negativity.

And then there is novelty. The first report of regulatory scrutiny shifts expectations materially. The fifth repetition of the same concern often does not. Markets adapt quickly to known risks. Once a theme is priced, incremental negativity produces diminishing marginal effect. Impact lives in surprise – in deviation from baseline attention and narrative intensity.

From Sentiment to Impact Architecture

If the previous argument was that narrative overtakes fundamentals, this is the logical extension: Not all narrative is economically equal.

Impact sits at the intersection of tone, reach, audience, relevance and acceleration. Remove any one of these dimensions and the signal degrades. In a market saturated with AI that can classify text instantly, polarity detection is becoming commoditized. The competitive edge no longer lies in labeling headlines as positive or negative. It lies in understanding which stories become systemically influential – which narratives cross from commentary into capital allocation. And crucially, those narratives rarely begin inside financial media.

They often start in regional outlets, specialist blogs, regulatory publications, trade press, activist platforms or non-English sources long before they appear in global financial newspapers. By the time the story reaches the front page of a major financial outlet, much of the informational asymmetry has already compressed.

Capturing impact early requires breadth

At Atlastic, we analyze more than 8.2 million media sources globally – far beyond the traditional financial press – to detect narrative formation at its origin, measure abnormal acceleration, and identify when amplification crosses into institutional relevance.

Because a headline does not move markets because it is negative. It moves markets because it becomes unavoidable. And in perception-driven markets, the decisive variable is not polarity. It is impact. That distinction – between what is said and what truly matters – is where alpha lives.

Thank you for reading.

At Atlastic, we transform global media perception into structured, investment-ready signals – designed for investors who understand that influence moves markets. Explore more at atlastic.ai or reach out for a conversation.

For years, narrative was treated as something softer than fundamentals, an auxiliary signal rather than a pricing mechanism. But the 2025 market environment has made one truth unavoidable: narrative is now a first-order driver of equity valuation. Perception shifts ahead of performance, share prices move with the story, and fundamentals adjust last, if they adjust at all. Across EVs, aerospace, consumer health, semiconductors and apparel, this dynamic repeats consistently. At Atlastic, where we analyse millions of news articles across 100+ markets, we observe narrative inflection points days or even weeks before they appear in financial models. Narrative has become measurable – and it moves markets.

Narrative Momentum as a Tradable Factor

The rise of narrative-driven pricing is not a behavioural anomaly but a structural development shaped by three decades of evolving market mechanics. In the 1990s, scale and operational leverage were the core sources of advantage; markets rewarded asset intensity and globalised efficiency. The 2000s shifted value toward digital platforms, where network effects, data accumulation and ecosystem position defined competitive strength.

By the 2010s, intangible assets and low interest rates made long-duration growth narratives central to valuation. Markets became comfortable projecting multi-year trajectories, and the credibility of a company’s story became a key input to its multiple.

The early 2020s brought heightened uncertainty: geopolitical shocks, volatile supply chains and expanding regulatory scrutiny made fundamentals harder to forecast. Meanwhile, public information volume exploded, increasingly overwhelming traditional analytical capacity.

By 2025, these forces converged into a new dominant driver: narrative velocity – the speed at which a storyline forms, spreads and substitutes for incomplete fundamentals. In a world of information abundance and attention scarcity, the prevailing narrative becomes the default valuation model. Stocks trade on the trajectory of perception, not on the trailing P&L.

Why Narrative Velocity Now Drives Markets

Information overload elevates narrative as the filtering mechanism that simplifies complexity into an investable signal. Regulatory frameworks – from CSDDD to climate disclosures to cybersecurity rules – institutionalise reputation as a quantifiable financial variable. Quant and semi-quant models ingest trust, sentiment and controversy signals in real time, often shaping portfolio decisions before fundamentals update. Perception becomes predictive because it consistently moves ahead of performance.

Five Examples of Narrative Leading Price Action

Before the cases, an unavoidable disclaimer: Tesla is the most overused narrative-versus-fundamentals example in global finance. But because it remains the clearest and most instructive, I am still including it:-)

Tesla (TSLA): Narrative as a Long-Duration Asset: Tesla’s overarching storyline; “the EV revolution is unstoppable”, has repeatedly overshadowed operational realities. Even as gross margins declined from roughly 29% in 2021 to under 19% in 2024 and global EV competition intensified, markets maintained a durable belief in Tesla’s inevitability. The stock rallied more than 103% in H1 2023, often traded at forward P/E multiples above 60, and continued to behave more like a high-growth software name than an automaker. The narrative acted like a long-duration intangible asset: as long as belief endured, price followed.

Meta (META): Narrative Overextension and Reversal: In 2021–22, Meta became a case study in narrative excess. The metaverse storyline drove enormous media volume and investor enthusiasm, pushing the stock to ~$382, despite slowing ad growth, rising competition and capex surging from $19B to $32B. When the storyline collapsed, so did the price – falling to $88, a 77% drawdown, long before fundamentals normalised. The reversal was driven by belief, not balance sheets.

Palantir (PLTR): The Narrative Shortcut Around Fundamentals: Palantir’s position at the intersection of “AI + national security” provided one of the strongest story compounds in the market. During 2023, shares rose from $6.50 to $21 – a 223% gain – even though revenue growth remained modest and profitability thin. Any positive AI news became a narrative accelerant, creating a form of convexity where perception moved faster than evidence. When enthusiasm plateaued in mid-2024, the retracement toward $14–15 occurred with similar narrative force.

Boeing (BA): The Speed of a Negative Narrative Spiral: The 737 MAX 9 door-plug incident on 5 January 2024 triggered an immediate and global narrative shift: “Boeing has a systemic safety problem.” Within a week, the stock dropped 10%, and by year-end it had fallen 31%, making it the worst performer in the Dow. At the moment the narrative formed, fundamentals were broadly unchanged – revenue stable, backlog intact, guidance unaltered. Only months later did operational consequences (FAA intervention, delivery delays) materialise. The narrative moved first; the numbers followed the story.

Adidas (ADS): Narrative Contagion and Brand Fragility: After Adidas severed ties with Kanye West in late 2022, the market rapidly converged on a storyline of ethical exposure and over-reliance on Yeezy. This drove the stock from €336 at its peak to ~€105 before any financial damage was visible. Actual consequences – inventory write-downs, margin compression, guidance cuts – emerged later, long after the price had already adjusted. The narrative priced the damage early; the P&L delivered it eventually.

How Investors Can Use Narrative for Alpha

With narratives forming faster than fundamentals, timing becomes critical. The key is not static sentiment, but narrative velocity – the acceleration or deceleration of perception that precedes volatility. Investors can build narrative-aware universes to detect early controversy risk, identify positive inflection points or flag developing narrative cliffs. When perception stabilises or reverses ahead of fundamentals, it creates opportunities for both long and short strategies. Atlastic is designed for this reality, transforming global media behaviour into quant-ready trust signals that feed directly into risk, allocation and factor models.

The Age of Perception-Driven Markets

In an ideal world, story and substance would move together. In today’s market, story often leads – and substance chases. Investors who ignore narrative risk leave performance on the table. Those who measure it gain visibility earlier in the cycle, where alpha lives.

Thanks for reading – we’ll be back soon with more curated insights. At Atlastic, we work to translate the world’s media perception into clear, investment-ready signals. Want to learn more? Book a demo here.

The rise and stall of a $30 trillion Idea: A decade ago, ESG investing – allocating capital to companies performing strongly on Environmental, Social, and Governance dimensions – was hailed as finance’s moral awakening. Trillions poured into funds that promised a dual mandate: generate returns and drive responsible change. From Oslo to New York, pension funds and asset managers embraced the notion that sustainability was not only ethical – it was profitable. For years, that story held. ESG indexes outperformed, capital flooded in, and “impact” became a trading-floor buzzword. But somewhere between policy pressure, exclusion lists, and standardized ratings, the focus drifted. By 2025, the ESG boom looks less like a revolution – and more like a reckoning.

The Tide Turned Quietly

ESG investing began as a movement grounded in trust and purpose – the promise that doing good would also mean doing well. But in recent years, that link has weakened. The data now shows a growing disconnect: capital is fleeing ESG-labeled funds, and their performance increasingly trails conventional peers. The reason? Too many ESG strategies optimized for exclusions and compliance – not for alpha.

ESG vs. Non-ESG Fund Performance

For the period 2022-2024, global ESG funds returned –2.4 % CAGR, while non-ESG peers grew +4.1 %. The gap opened sharply in 2022, when energy and defense sectors – often excluded from ESG universes – became top performers (Source: Morgan Stanley Research; Morningstar Global Sustainable Funds Report 2024)

According to Morningstar and the Financial Times, sustainable funds have faced seven consecutive quarters of net outflows – culminating in a record USD 19.6 billion withdrawn in Q1 2025. Many asset managers have quietly renamed or merged ESG strategies to avoid scrutiny, marking the end of an era when “ESG” alone attracted inflows.

Capital Flows Turning Negative (2023–2025)

The trend is unmistakable: ESG is no longer a guaranteed magnet for capital. Investors now demand performance proof, not policy proof.

The Global ESG Landscape: Scale and Concentration

Despite headwinds, ESG remains one of the largest financial phenomena of our time. The global ESG investing market reached roughly USD 25 trillion in 2023 and is forecast to exceed USD 79 trillion by 2030 – a compound annual growth rate near 19 %. Europe remains the clear leader, representing ~84–85 % of global sustainable fund assets. Its dominance is driven by EU regulations such as the Sustainable Finance Disclosure Regulation (SFDR), mandatory ESG reporting, and strong demand from pension and sovereign funds.

United States / North America accounts for ~10 % of global ESG fund assets, far smaller in relative share but large in absolute value. Political polarization and shifting state-level policies have slowed new inflows, even as major managers like BlackRock, State Street, and Vanguard continue to offer ESG-linked products.

Asia-Pacific and Emerging Markets make up the remaining ~5 %, but show the fastest growth – driven by Japan, Australia, and South Korea, where institutional mandates and disclosure standards are expanding rapidly.

The Titans of ESG: Largest Funds by AUM

Even as smaller ESG vehicles shrink, the giants still dominate the narrative:

• iShares ESG Aware MSCI USA ETF (ESGU) – ≈ USD 25 billion AUM (BlackRock)
• Parnassus Core Equity Fund – ≈ USD 26.8 billion AUM (Parnassus Investments)
• ACS World ESG Insights Equity Fund (BlackRock) – ≈ USD 13 billion AUM

Together, the 50 largest sustainable funds manage roughly USD 224 billion, about 13 % of total ESG equity AUM. These “ESG blue chips” built the sustainable-investing narrative – yet now stand at its crossroads: scale without sustained alpha. (Sources: Morningstar; MSCI; SustainableInvest. Bloomberg Intelligence (2024–2025))

Why It Happened

The intention was right – but the incentives went wrong. Most ESG funds:

• Screen out volatile or controversial sectors, removing key sources of momentum.
• Cluster around similar large-cap “safe names,” reducing differentiation.
• Reward messaging over execution.

When sustainability becomes a checkbox, trust turns into a slogan – and alpha disappears.

The Atlastic Advantage: From Compliance to Performance

At Atlastic, we believe sustainability and alpha should reinforce each other – not compete. Our technology transforms global media, regulatory, and public-trust data into quant-ready signals that enable investors to:

Meet ESG standards AND capture alpha

ESG was built on the belief that markets reward responsibility. That remains true – but only when responsibility drives results. The next generation of sustainable investing will measure outcomes, not optics. With Atlastic, investors can meet ESG standards and capture alpha – powered by real-time trust intelligence.

Thanks for reading. We’ll be back soon with more curated insights. In the meantime, you can explore the full live dataset at atlastic.ai for deeper analysis and real-time trust metrics.

Atlastic Signals delivers short, high-frequency updates on how companies and markets are perceived in the global media landscape.
Powered by millions of articles in 100+ languages and enriched by proprietary AI models, we surface what the world believes – before it hits the market.
Built for investors, analysts, consultants, and decision-makers who understand that perception drives performance.

Trust is a trading signal

In the global sportswear industry, trust isn’t just about reputation, it’s a forward-looking market indicator. Atlastic’s real-time media intelligence tracks and quantifies perceived trust across brands and markets, creating high-frequency inputs into how narratives shape company value. This time, we zoom in on the rivalry between Nike (USA), the world’s largest sportswear brand by market cap (~$130 billion) and its two historic German challengers, Adidas (~$30 billion) and Puma (~$8 billion), both headquartered in the small Bavarian town of Herzogenaurach.

Born from a family feud and now locked in global competition, these three brands offer a compelling case study in how media sentiment moves markets; region by region, story by story, and spike by spike.

Narrative Overlap: Nike and Adidas dominate global storylines

Media coverage shows Nike and Adidas frequently co-appearing in stories about sustainability, innovation, and high-profile sponsorships, strengthening their narrative dominance. Puma, though with lower volume, aligns closely with Adidas in European markets and performance-focused segments, carving out a targeted narrative position. This overlap pattern, visualized in the diagram, reveals where brands compete for attention – and where one may be gaining ground on another.

Trust ratings and volatility: Puma rises fast, but swings harder

The latest trust rankings as of July 20, 2025, reveal distinct sentiment dynamics among the three major players. Nike holds a Trust Beta of 78 and an A+ S1 A+ trust rating. While its scale drives broad media coverage, it also leaves the brand more vulnerable to global sentiment shifts. Over the past 15 days, Nike’s trust value declined 3.51%, in line with broader macro narratives.

Adidas, with a lower Trust Beta of 20, appears more stable. It maintains the same high-grade trust rating and has seen a 2.32% gain over the same period, suggesting a modest but steady recovery in investor-facing narratives.

Puma, while the smallest in market cap and media volume, has been the most dynamic. With a Trust Beta of just 16, it recorded a sharp 14.33% increase in perceived trust over the past two weeks – despite a notable 8.11% drop the week before. This volatility highlights Puma’s high responsiveness to spikes in media coverage and public sentiment.

For additional context, New Balance, Under Armour, and ASICS all trail these three in both volume and trust stability, with ratings below A and significantly lower media traction globally. This further underscores the leadership position of Nike, Adidas, and Puma – not just in market share, but in media-driven investor perception.

Momentum over time: Nike takes off – Puma surges

The 12-month trust value chart reveals diverging momentum curves that reflect both global brand narratives and localized campaign effects.

Nike maintains a commanding lead, with consistent trust spikes throughout the year – particularly around global athlete partnerships, product drops, and high-profile sponsorships such as the Olympic preparation season, WNBA/NBA-related narratives, and ESG commitments around apparel manufacturing. These events continue to reinforce Nike’s media prominence and brand credibility, though its exposure to global media also creates pronounced volatility when sentiment shifts.

Adidas, by contrast, follows a more stable trajectory. While it has not matched Nike’s peaks, it shows gradual upward momentum, especially in Q1 and early Q2 of 2025 – likely supported by renewed messaging around sustainability, football sponsorships, and regional growth in Latin America and MENA markets. Its perceived steadiness could appeal to investors looking for longer-term brand resilience over short-term hype cycles.

Puma stands out as the most agile mover. Although starting from a lower baseline, it delivers a sharp trust rally between April and June 2025 – suggesting a well-timed activation of regional campaigns, particularly in Africa and Asia-Pacific, as well as increased visibility through partnerships with individual athletes and culturally resonant marketing pushes. Media velocity, not sheer volume, appears to be Puma’s advantage, creating bursts of high-efficiency narrative momentum that attract investor attention.

This momentum profile positions Nike as the scale leader, Adidas as the steady climber, and Puma as the asymmetric opportunity – each with distinct implications for investor sentiment, narrative risk, and short-term trading signals.

Geographic dominance: Adidas and Puma punch above weight in key markets

Our trust heatmap shows Nike leading across North America, Europe, and Asia, powered by global media scale and sponsorship visibility. But Adidas holds trust leadership across South America, Africa, and the Middle East, where cultural relevance and long-term partnerships strengthen its regional footprint. In Germany, its home market, Adidas maintains a firm media trust position, reflecting both national brand equity and local engagement.

Puma, despite its smaller scale, dominates trust perception in selected countries like South Africa, Iraq, and Papua New Guinea. These pockets of strength suggest the brand is outperforming in overlooked or underweighted regions, potentially leveraging niche positioning and licensing strategy.

Why it matters

In today’s fast-moving markets, media-driven trust isn’t just a branding metric – it’s an actionable signal. Trust reflects how the market perceives a company’s credibility, resilience, and momentum. In sectors like sportswear – where brand value is deeply narrative-driven – shifts in perceived trust often precede market moves.

Atlastic delivers high-frequency, real-time insights into how trust evolves across brands, regions, and sectors – quantifying sentiment dynamics that traditional financial models may miss. These trust signals are used by quantitative hedge funds, equity analysts, and strategic investors to identify inflection points, monitor reputation risk, and uncover mispriced opportunities.

Whether you’re benchmarking portfolio holdings, scouting for sentiment-driven trades, or stress-testing narrative exposure, Atlastic enables you to turn perception into positioning.

Thanks for reading. We’ll be back soon with more curated insights. In the meantime, you can explore the full live dataset at atlastic.ai for deeper analysis and real-time trust metrics.

Atlastic Signals delivers short, high-frequency updates on how companies and markets are perceived in the global media landscape.
Powered by millions of articles in 100+ languages and enriched by proprietary AI models, we surface what the world believes – before it hits the market.
Built for investors, analysts, consultants, and decision-makers who understand that perception drives performance.

Leveraging our real-time media analytics engine, we’ve tracked Corporate Trust Values to uncover how trust shifts across markets, what drives reputational volatility, and which companies consistently maintain strong public perception – and why.

This edition puts particular focus on the rising rivalry between Eli Lilly and Novo Nordisk, as reflected in media narratives, brand mentions, and public sentiment. We’ll explore how their respective GLP-1 brands are shaping the conversation – and the market.

Top 10 Pharma Stocks by Trust Value

Ranked by media-driven trust and short-term sentiment trends, this week’s list highlights shifting perceptions in the pharma sector.

Eli Lilly retains the top spot despite a cooling trend, while Sanofi and Bristol-Myers Squibb show breakout trust momentum. Novo Nordisk sees a sharp dip – raising questions of overreaction or early warning. Meanwhile, Amgen surges with the strongest sentiment gains.

Watch for reversals, new catalysts, and trust-driven market signals across this evolving landscape.

Rival Watch: Eli Lilly vs. Novo Nordisk

Two titans in diabetes and obesity treatment, both highly trusted – but media sentiment now diverges. This chart compares the media-based Trust Value trends of Eli Lilly, Novo Nordisk, and the broader drug manufacturing sector from June 2024 to June 2025.

Eli Lilly consistently leads in trust but shows high volatility, with several sharp drops and rebounds – reflecting how strongly it’s affected by media sentiment shifts, especially around its weight-loss and diabetes treatments.

Novo Nordisk displays a more erratic and generally lower trust trend, with notable dips and only partial recoveries. Its trust performance remains below both Eli Lilly and the industry average for most of the period.

The overall drug manufacturing sector shows the most stable trajectory, gradually improving over time. This highlights how individual companies can swing sharply on media cycles, while the sector as a whole maintains steadier sentiment.

GLP-1 Rivalry in the Media

The media narrative around GLP-1 drugs is shaped by four dominant brands: Wegovy, Ozempic, Mounjaro, and Zepbound. In the chart, the size of each circle reflects the total amount of media coverage, while overlapping areas indicate how often brands are mentioned together in the same news stories.

Novo Nordisk’s Wegovy receives the most attention, frequently appearing alongside Ozempic, which reinforces the company’s leading role in the weight-loss and diabetes conversation.

Mounjaro, from Eli Lilly, also features prominently – often in direct comparison with Wegovy – highlighting the growing rivalry between the two companies. Zepbound, Lilly’s newer entrant, garners slightly less media focus but appears regularly in overlapping coverage with both Mounjaro and Wegovy, signaling its emerging relevance.

Overall, Novo Nordisk leads in visibility, while Eli Lilly is gaining ground – especially in stories centered on competition and market dynamics. The structure of media mentions reflects not just brand awareness, but how tightly these products are linked in public discourse.

Thanks for reading! Want more insights on how perception shapes the global market? Follow Atlastic on LinkedIn

Atlastic Signals delivers short, high-frequency updates on how companies and markets are perceived in the global media landscape.
Powered by millions of articles in 100+ languages and enriched by proprietary AI models, we surface what the world believes – before it hits the market.
Built for investors, analysts, consultants, and decision-makers who understand that perception drives performance.

In this edition of Atlastic Weekly, we turn our focus to the automotive sector, with a special lens on electric vehicle (EV) manufacturers. Who leads in trust, who is losing ground, and how are public narratives shaping investor sentiment around some of the most-watched companies in the world?

EV Trust Rankings: Toyota Leads, Tesla Slips, Xpeng Wavers

Atlastic’s latest trust rankings for publicly listed car manufacturers reveal a sharp contrast between global leader Toyota and the faltering Tesla.

Toyota holds the number one position with the highest Trust Value, supported by a consistently strong media reputation, moderate volatility, and positive short-term momentum. Its 7-day trend is up by 3.99 percent, and despite a slight 15-day dip of 2.51 percent, Toyota remains remarkably stable with a Trust Beta of just 35. It continues to lead as the world’s most trusted automotive brand.

Tesla, in stark contrast, ranks last. It currently holds a deeply negative Trust Value of minus 338 million, with sentiment dropping over 30 percent in the past week and 14.84 percent over the past 15 days. With the highest Trust Beta in the ranking at 84, Tesla is the most volatile brand in the sector. Even minor news events can trigger large trust swings. Despite its visibility and dominant role in the EV market, Tesla now trails behind both legacy automakers and new challengers in reputational strength.

Volkswagen, positioned tenth, is showing encouraging signs of recovery. While its overall Trust Value is lower than top-tier brands, it gained 7.26 percent over the past week and 3.15 percent over 15 days. This suggests growing investor and media confidence, likely tied to progress in its EV transformation and a more balanced narrative.

Xpeng, the highest-ranked Chinese carmaker at number three, holds a solid Trust Value just below 1 billion. However, momentum has stalled. Over the past 15 days, trust has dropped by nearly 10 percent, and the short-term trend has flattened. Xpeng still ranks among the top performers, but the fading momentum reflects heightened geopolitical scrutiny and a more cautious outlook on Chinese tech stocks.

In other words, Toyota remains strong and stable, Volkswagen is on the rebound, Xpeng is losing momentum, and Tesla continues its sharp reputational decline.

Tesla Falters, Xpeng Rises: A Shift in EV Trust

Let’s deep-dive a bit into the EV segment: Trust Value trends over the past year highlight diverging reputational paths for Tesla and Xpeng. While Xpeng maintained stable and positive media sentiment through most of 2024, Tesla entered 2025 with a steep decline. By April, Tesla’s Trust Value had plummeted to nearly minus 2.2 billion before staging a partial recovery.

Xpeng’s Trust Value ranged consistently between 500 million and 1 billion. This reflects both the strength of its own brand and a broader media shift: the era when Chinese automakers were met with default scepticism is over. Chinese EV brands are now seen as credible, competitive, and increasingly innovative players on the global stage.

Tesla’s trust collapse has been driven by overlapping narratives. Coverage of Elon Musk’s polarizing public behavior, increased regulatory scrutiny of Autopilot and Full Self-Driving systems, repeated product recalls, and growing criticism of labor and ESG practices have combined to erode the company’s standing. Its once-dominant position in the EV conversation is now under pressure from more focused and less volatile challengers like Xpeng.

Xpeng Leads Globally, Tesla Holds U.S. Ground

This Atlastic map offers a powerful snapshot of the global EV trust landscape. Xpeng (in red) leads in the majority of countries worldwide, while Tesla (in grey) holds its ground in only a handful of markets.

From Europe and Asia to Latin America and the Middle East, Xpeng is now the most trusted EV brand across a broad global footprint. Tesla, despite a steep global decline in Trust Value, still enjoys relatively strong sentiment in the United States. In fact, the U.S. remains Tesla’s single most positive contributor in terms of trust, remarkable given the wave of controversies surrounding leadership, safety, and public image.

The map reflects the already mentioned larger shift in perception. Chinese EV brands are no longer automatically met with suspicion. Xpeng’s widespread leadership signals a turning point in global sentiment, positioning Chinese manufacturers as credible and preferred in the eyes of both media and the market.

Elon Musk Outshines His Own Companies in Global Media

This media coverage diagram reveals a striking truth: Elon Musk is a larger media brand than both Tesla and SpaceX combined.

Based on Atlastic’s global data, Musk receives more news mentions on his own than either of the companies he leads. His public presence dominates headlines across tech, transport, politics, and innovation.

The overlap between Musk and Tesla is significant. A large portion of Tesla’s media visibility includes direct references to its CEO, underscoring how central he is to the company’s reputation. This linkage also means Tesla’s trust performance is highly exposed to Musk’s public behavior and statements.

SpaceX, while still a major player in media narratives, has a smaller and more independent footprint. Much of its coverage still overlaps with Musk, highlighting the extent to which even ambitious aerospace ventures remain tethered to his personal brand.

This chart doesn’t just show coverage volume – it visualizes the gravitational pull Musk exerts across media narratives and how strongly both Tesla and SpaceX orbit around him.

Atlastic Signals delivers short, high-frequency updates on how companies and markets are perceived in the global media landscape.
Powered by millions of articles in 100+ languages and enriched by proprietary AI models, we surface what the world believes – before it hits the market.
Built for investors, analysts, consultants, and decision-makers who understand that perception drives performance.