Google's AI Mode: Revolutionizing Search or Jeopardizing Web Diversity?

The introduction of Google's AI mode represents a transformative shift in how users interact with search engines. Unlike traditional methods that display a list of links, AI Mode delivers AI-generated summaries that synthesize information from various online sources. This new feature is seen as a potential game-changer for the internet, as it fundamentally alters the search experience by offering a more conversational and interactive approach. Google's claims that AI Mode will enhance content discovery and allow users to engage with richer and more complex queries promises a new level of utility and convenience for search engine users.

However, the introduction of AI Mode has not been without controversy. Critics argue that by replacing direct link results with synthesized summaries, AI Mode threatens to decimate website traffic for publishers, which is crucial for generating advertising revenue. Concerns are also based on the impact AI Mode could have on the revenue models that support journalism and content creation online. There is a fear that as search practices evolve, smaller publishers may not be able to compete, leading to potential job losses and a less diverse internet landscape. The move towards AI-generated summaries may also trigger significant shifts in digital content strategy, forcing publishers to adapt to this new paradigm.

Despite these concerns, Google remains optimistic about the potential benefits of AI Mode. The company asserts that by providing users with comprehensive answer summaries, AI Mode could actually increase traffic to a broader range of sources. Google's defense hinges on the belief that the internet is a dynamic ecosystem capable of adapting to technological shifts. The debate around AI Mode underscores the complex interplay between innovation and disruption in the digital age, highlighting the need for a balanced approach that considers both technological advancement and the sustainability of the internet's ecosystem.

AI Mode represents a significant departure from previous AI integrations in Google Search by fully replacing traditional lists of search results with AI-generated summaries. Previously, Google's AI features, like AI Overviews, supplemented conventional search results by offering brief AI-generated insights alongside links to sources. With AI Mode, however, the search experience transitions into a chatbot-like interface, engaging users with synthesized information drawn from multiple references . This shift is poised to transform how users interact with search engines, fundamentally altering the dynamics of search and content consumption.

Unlike earlier AI integrations that worked as enhancements to conventional search strategies, AI Mode emphasizes a more interactive user experience that enables posing complex queries and receiving comprehensive answers . This departure from listing links to providing direct responses could diminish the practice of navigating to external sites, impacting web traffic patterns significantly . Google perceives this transformation as a means to enhance user engagement and broaden access to information, although critics worry about potential disruptions to publisher revenues .

The evolution to AI Mode highlights an intent to redefine search experiences by embedding richer context within the results rather than merely guiding users towards other websites. This innovation aims to respond to the increasing demand for more nuanced and detailed interactions with search systems in a digital landscape proliferated with information . While this shift might enhance information accessibility, it stirs a debate on its potential effects on the economic models that underpin digital content production and dissemination . Google asserts that this approach will channel traffic across a broader network of smaller and diverse sources. However, the real consequences remain a topic of spirited discussion among stakeholders .

The core arguments against Google's new AI Mode largely stem from fears that it could irreversibly damage the economic model of the internet as we know it. AI Mode, which integrates a chat-like feature into Google's search, offering AI-generated summaries instead of traditional search results, may significantly reduce the amount of traffic directed to external websites. This shift raises concerns about the sustainability of the advertisement-driven economy that many online publishers rely on for revenue. With fewer visitors landing on their pages, these publishers stand to lose substantial ad revenue, which could jeopardize their operations. Some experts foresee this as a threat not only to individual businesses but also to the broader ecosystem of digital content creation. Learn more about the potential impacts.

Furthermore, the implementation of AI Mode could lead to a concentration of informational power within Google's ecosystem, narrowing the diversity of content that users are exposed to. By generating succinct summaries from multiple sources, AI Mode risks sidelining smaller publishers and independent voices, whose content might never be seen by the intended audience. This development sparks significant concerns about the creation of 'filter bubbles,' where users are persistently exposed to a limited variety of perspectives. The ramifications of this tilt in information dissemination could erode the open and diverse nature of the web, effectively promoting certain narratives over others. As a result, the vibrancy and openness of the current web ecosystem face a potential existential threat. Read more on the potential changes to the web.

Critics also warn of the potential for increased misinformation with the widespread adoption of Google's AI Mode. The reliance on algorithm-generated content raises questions about the accuracy and accountability of the information provided. Unlike traditional search methods that prompt users to evaluate multiple sources, AI Mode might inherently limit users' critical engagement with varied content. The potential for inaccuracies to spread through non-verified summaries represents a significant challenge, particularly if original source links are underemphasized. This scenario could not only foster misinformation but also diminish public trust in digital content. Explore more on risks of misinformation.

The socio-political implications of AI Mode are equally concerning. By potentially diminishing the visibility of independent media voices, AI Mode could allow prevailing narratives to dominate public discourse, which might limit the range of opinions and analyses available to the public. Its influence could also incite stricter regulatory frameworks, as governments might seek to temper the socio-economic disruptions that such a fundamental shift in digital content delivery could entail. Lawmakers and regulators may be pressed to ensure that information remains freely accessible and that media literacy keeps pace with technological advancements. The complex balance of maintaining freedom of expression while safeguarding against the narrowing of informative channels remains a crucial and unresolved challenge. Discover the regulatory challenges.

In the face of mounting criticisms regarding its new AI Mode, Google has asserted a robust defense by emphasizing the potential benefits it heralds for search efficiency and content discovery. Google's central argument is that AI Mode can address more complex user queries by providing synthesized answers derived from multiple sources. This method, according to Google, aligns with the evolving needs of users who seek quick and comprehensive results without navigating through countless links. More importantly, Google stresses that AI Mode will catalyze traffic to a wider range of websites, democratizing exposure and preventing the centralization of clicks on traditionally dominant sites. To substantiate these claims, Google points to a 45% surge in web content over the past two years, which they argue indicates a thriving web ecosystem enriched by AI innovations like AI Mode.

Google's response to the adverse reactions from publishers and content creators has been marked by a pragmatic acknowledgment of their concerns coupled with a strategic narrative promising new opportunities. Google insists that while AI Mode replaces traditional search links with AI-generated summaries, it does so in a way that can potentially expand the avenues for user engagement. Google argues that AI Mode will encourage users to consider a more extensive array of sources than they might under conventional search paradigms. The company remains committed to ensuring that their AI technology supports rather than supplants the diverse content landscape, promising ongoing refinements to address and mitigate any unintended negative impacts.

In response to the widespread allegations of undermining the revenue models of online publishers, Google has underscored its commitment to ethical AI use, focusing on fair compensation practices in collaboration with content creators and industry stakeholders. Google has been proactive in dialogues with the media and technology sectors to craft workable solutions that can reconcile the interests of AI innovation with those of the existing digital publishing economy. This includes exploring partnerships and compensation models that could adequately reward publishers for the role their content plays in enriching AI models. By leading these initiatives, Google aims to navigate the complex terrain of digital ethics while fostering an equitable environment for all stakeholders involved.

The introduction of Google's AI Mode heralds a new era of online search, with the potential to reshape the digital landscape in profound ways. One of the most significant long-term consequences could be the erosion of website traffic as traditional links are replaced by AI-generated summaries. This shift may disrupt the advertising revenue model that many publishers rely on, leading to financial challenges and possibly driving some smaller publishers out of business. Such a scenario raises concerns about the 'survival of the fittest' where only those able to adapt to new technologies will thrive.

Economically, the dominance of AI Mode could lead to a more concentrated digital economy. As Google's AI Mode prioritizes AI-generated content, smaller publishers face the risk of being overshadowed by larger, more resourceful conglomerates. This imbalance might reduce competition and innovation within the industry, exacerbating the digital divide and potentially limiting new entrants to the market.

Socially, the implications of a shift towards AI-driven content consumption could be profound. By relying on AI summaries, the diversity and richness of information might diminish, presenting a more homogenous view of the world. Concerns about 'filter bubbles'—where AI algorithms inadvertently reinforce existing beliefs and opinions—could become more pronounced, reducing exposure to diverse perspectives. This might further polarize public discourse, limiting the scope for genuine debate.

Politically, AI Mode signifies a turning point where technology companies might wield more influence over the public's access to information. This could attract increased regulatory scrutiny and prompt governments to enact legislation aimed at ensuring equitable access to diverse viewpoints. The complexity of AI Models and their potential bias in content curation could also become focal points for political debate, as choices made by algorithms might inadvertently influence public opinion and political outcomes. In response, governments may need to intervene more directly in technology regulation, balancing innovation with accountability and transparency.

In a broader sense, the long-term implications of Google's AI Mode extend to how society values and engages with information. The transformation from an open web where users actively search and explore, to a more passive consumption model facilitated by AI, could shift the paradigms of media literacy and critical thinking. While some see potential for creating new opportunities for content discovery, there is a prevailing fear that this could lead to a more closed and less vibrant internet ecosystem, defined by the parameters set by a few dominant players like Google.

One of the most pertinent solutions proposed to mitigate the negative impacts of Google's AI Mode is the direct compensation from tech companies to publishers. This approach would require entities like Google to financially compensate content creators for the use of their articles in AI-generated results. The concept is simple—if AI systems are leveraging publishers' work to generate summaries, the original creators deserve a fair share of the resulting economic value. This not only promotes fairness but could also incentivize more high-quality content creation in the long run. In this context, companies such as Cloudflare have already proposed frameworks where AI usage would entail mandatory compensation agreements, thus safeguarding the financial backbone of content-driven industries. Moreover, these frameworks signal a collaborative approach to bridge the gap between technological advancements and traditional publishing economics .

Another possible solution is the collective action by publishers to block AI crawlers. By uniting, content creators can impose restrictions on the use of their content by AI models, denying access until fair compensation terms are negotiated. This tactic not only pressures tech behemoths into dialogue but also underscores the value of original content in the digital ecosystem. If widely adopted, such a measure could set a precedent for more equitable relationships between AI technology providers and content originators, providing a powerful bargaining chip for smaller publishers who might otherwise be overlooked .

Regulatory action is also considered crucial in addressing the issues posed by AI Mode. Governments could enact laws that ensure fair compensation for content creators or impose restrictions on how AI companies utilize publisher content in their algorithms. This includes promoting media literacy and developing a clear framework that prevents misinformation and ensures diverse, unbiased information dissemination. With antitrust lawsuits currently challenging Google's market practices, there is a potential opening for legislative bodies to introduce policies that shape a more balanced digital information landscape .

The launch of Google's AI Mode has sparked a series of notable events that highlight the contentious nature of this technological shift. One significant event was the protest staged by content creators and website publishers on June 5, 2025. This virtual protest was aimed at opposing the implementation of AI Mode, based on claims that it unfairly diminishes website traffic and advertising revenue. Participants in this protest took their websites offline temporarily and utilized social media platforms to raise awareness about the potential negative impacts of AI Mode [1](https://www.bbc.com/future/article/20250611-ai-mode-is-google-about-to-change-the-internet-forever).

Shortly after the protest, on June 7, 2025, Cloudflare proposed a new framework aimed at compensating content creators for the utilization of their material by AI models. This framework was introduced as a means to counterbalance the effects of AI Mode's content summarization approach. The proposal suggested that publishers should consider blocking AI crawlers unless tech firms agree to fair compensation terms. This action represents a critical attempt to ensure that content creators receive due recompense for their work in the face of changing internet dynamics [1](https://www.bbc.com/future/article/20250611-ai-mode-is-google-about-to-change-the-internet-forever).

In addition to these industry responses, Google is also currently facing substantial legal challenges. Several antitrust lawsuits have been filed by the US Department of Justice and multiple state attorneys general, alleging monopolistic practices within the search and advertising markets. These lawsuits underscore the ongoing scrutiny of Google's business practices and could potentially lead to significant regulatory actions that may reshape the internet ecosystem and influence Google's AI-driven initiatives [1](https://www.bbc.com/future/article/20250611-ai-mode-is-google-about-to-change-the-internet-forever).

The evolving debate around AI Mode reached another pinnacle when the News Media Alliance, representing various news publishers, issued a condemnation of Google's AI Mode on June 9, 2025. This criticism, supported by a strong public statement, accused Google of "theft" for incorporating publisher content into AI responses without offering fair compensation. The collective voice of the News Media Alliance represents a major stakeholder in the ongoing discourse concerning the ethical and economic ramifications of AI Mode [1](https://www.bbc.com/future/article/20250611-ai-mode-is-google-about-to-change-the-internet-forever)[7](https://nypost.com/2025/06/10/business/news-outlets-in-crisis-mode-as-google-led-ai-search-push-crushes-website-traffic/).

Despite widespread criticism, Google has consistently defended AI Mode since its inception. The company argues that AI Mode not only enhances the search experience but also opens new avenues for discovering content. Google asserts that this AI-driven tool drives traffic to a broader range of sources and facilitates more complex user queries. This defense remains part of Google's narrative as they continue to face public, legal, and industry challenges regarding the implications of their AI technological advancements [1](https://www.bbc.com/future/article/20250611-ai-mode-is-google-about-to-change-the-internet-forever).

Experts in the field of technology and digital media have expressed divergent opinions on the impact of Google's AI Mode, particularly concerning the structure and economy of the internet. Lily Ray, a Vice President of SEO strategy, highlights the potential devastation AI Mode could usher in, as it risks diminishing organic search traffic, a core revenue channel for online publishers. Her outlook is echoed by Barry Adams of Polemic Digital, who warns of a dire "decimation" of website clicks, predicting possibly halved traffic due to AI Mode's consolidation of content. Such concerns are rooted in fears that AI Mode will decrease the incentive for external website visits, affecting ad revenue models significantly. Learn more about the potential disruptions here.

On the other hand, Google proponents like Nick Fox, the Senior Vice President of Knowledge and Information, assert that AI Mode will not only enhance the search experience but will also redirect traffic across a more varied range of sources. Fox cites a notable increase in web content production over recent years, suggesting a thriving digital ecosystem. Meanwhile, Gisele Navarro of HouseFresh warns of a potential contraction in diversity, where information is increasingly molded for AI consumption, thereby impacting the vitality of the open web. Explore more on Google's defense.

Amidst these contrasting views, some experts propose new frameworks for content monetization and protection. Dame Wendy Hall advocates for adaptive strategies that could emerge as the digital landscape evolves, though she acknowledges possible casualties among existing publishers. Meanwhile, Cloudflare's CEO, Matthew Prince, encourages collective efforts among publishers to block AI interaction unless fairly compensated, potentially steering a fairer economic model for future digital interactions. Read about proposed solutions and frameworks.

The unveiling of Google's AI Mode has sparked diverse reactions from the public, particularly among stakeholders in the media and technology sectors. Many publishers and journalism advocates express significant concern, viewing this innovation as a direct threat to the traditional journalism industry. This sentiment is largely driven by the fear that AI Mode's ability to provide detailed responses directly in search results may lead to a decline in website traffic, ultimately undermining advertising revenue models. For instance, there have been heated discussions on online platforms like Reddit, where users express anger over this potential shift in web traffic dynamics, fearing the impact on the livelihood of content creators .

On social media, public discourse around AI Mode is often framed as a debate over digital rights and fair compensation. The News/Media Alliance, a prominent trade group, has been vocal in its criticism, labeling Google's tactic as 'theft,' a stance that echoes across journalism forums . This backlash is intensified by the perception that Google's AI Mode disregards the value of original journalism by overshadowing it with AI-produced content.

Despite these criticisms, Google staunchly defends AI Mode, arguing that it not only improves the search experience but also enhances content discovery across a broader spectrum of sources. Google's representatives emphasize the potential for AI Mode to handle complex search queries more effectively, aiming to reassure the public and publishers of the system's benefits . Nevertheless, critics remain skeptical, demanding concrete evidence to back Google's claims that AI Mode will indeed guide traffic to a wider array of content creators.

Public reactions have also highlighted the broader implications of a shift towards AI-centric content consumption. There is a palpable fear that such a transformation could lead to an internet landscape dominated by large tech entities like Google, marginalizing smaller publishers and reducing the diversity of available viewpoints. Critics warn of the rise of 'filter bubbles,' where algorithms curate content that reinforces existing biases, potentially jeopardizing the balanced dissemination of information .

The dialogue around AI Mode ties into wider societal concerns about misinformation and media literacy. As AI-generated summaries become more prevalent, the risk of spreading unverified information increases, along with the challenge of ensuring accurate fact-checking mechanisms. This scenario underscores the urgent need for enhancing public media literacy to navigate the complexities of modern information consumption.

Discussions about AI Mode reflect a significant moment of introspection for the tech industry and its observers. As companies like Cloudflare propose frameworks for fair compensation to content creators, the dialogue reveals a shared recognition of the need for balanced solutions that preserve the open web's diversity while embracing technological advancement .

The economic implications of Google's AI Mode are vast and multifaceted, reflecting both opportunities and significant challenges for the internet's ecosystem. At the forefront of these implications is the impact on advertising revenue. As AI Mode replaces traditional search results with AI-generated summaries, the need for users to click on external links diminishes, potentially leading to a severe drop in click-through rates. This contraction in user engagement could drastically curtail advertising revenues, a primary income stream for online publishers, particularly those smaller in scale. Experts warn that the overarching industry could face revenue losses in the billions, further compounding financial pressures on an already strained sector. For those publishers heavily reliant on advertising, AI Mode could represent an existential threat if compensatory revenue streams are not urgently developed or regulatory measures enforced to level the playing field for digital innovators and traditional content creators alike.

Moreover, AI Mode may lead to significant job losses within content creation and journalism sectors. Picture a landscape where reduced website traffic and slashed advertising revenues force publishers to downsize dramatically or, worse, close their doors entirely. The transformation of Google’s search functionality brings into sharp relief the fragile economic foundations supporting countless editorial and creative roles, emphasizing the necessity of adaptable business models that prioritize digital resilience. As economies of scale benefit tech giants, the very real threat exists of a monopolized media landscape with less room for independent voices. Any corrective actions, whether through unionization efforts or new business paradigms such as subscriptions and licensing agreements with AI entities, must remain at the forefront of strategic planning to safeguard jobs and bolster the economic viability of impacted industries.

In response to these shifts, new business models are anticipated to gain traction, catalyzing significant change across digital publishing landscapes. To counteract the adverse effects of AI Mode, content producers are actively exploring alternatives such as subscriptions, enhanced reader engagement strategies, and strategic partnerships with technology firms. This pursuit of diversification highlights a growing trend towards earning a more substantial share of AI-driven ecosystems by engaging directly with monetization strategies aligned with AI platforms. As these adaptations unfold, they illustrate an evolving understanding of value generation wherein the balance may shift towards digital expertise and innovative collaborations over traditional advertising reliance.

The digital economy stands on the brink of an era marked by intensified tech dominance. Companies like Google could see their influence swell as AI Mode reshapes access, information delivery, and content consumption patterns online. This shift has profound implications for competition within digital markets, potentially solidifying barriers to entry for emerging players while exacerbating existing monopolistic tendencies. As AI-driven content becomes more commonplace, the fundamental infrastructure supporting the digital economy undergoes transformative alterations, necessitating thoughtful policy responses and innovative economic approaches to preserve market dynamism and foster equitable conditions for all participants.

The rise of Google's AI Mode brings with it profound social implications, many of which stir significant concern across different sectors. At the forefront is the impact on information diversity and quality. As AI Mode tends to prioritize crisp, AI-generated summaries, there is an inherent risk of reducing the diversity and richness of information available online. This could potentially create 'filter bubbles,' wherein users are exposed to a narrow set of viewpoints, as the AI may inadvertently favor certain perspectives based on its training data. Such a shift could especially harm smaller publishers who might lose their audience, leading to fewer voices and perspectives being heard [].

Furthermore, the reliance on AI-generated summaries poses a risk of misinformation. Mistakes in the AI's understanding or interpretation could propagate false information, and without direct links to original, authoritative sources, users may find it more challenging to verify the accuracy of the content. This scenario raises fundamental questions about the reliability of AI as an intermediary in information dissemination and its implications for public discourse [].

Moreover, the shift towards AI-driven content consumption could adversely affect media literacy and critical thinking. As the ease of accessing synthesized information increases, audiences may become less inclined to delve deeper into topics or critically evaluate the information they receive. This passivity could lead to a less informed populace, diminishing the public’s ability to make informed decisions about complex societal issues [].

Socially, AI Mode's changes may lead to a decreased engagement with content. As browsing transforms from active exploration to passive consumption, individuals could miss the informed debate and varied insights that characterize a vibrant and diverse media landscape. Such a transformation not only impacts individual understanding but also affects societal dialogue at large, potentially creating echo chambers where dissenting opinions are heard less frequently [].

Deeper concerns also linger regarding freedom of expression. Prioritization by AI could marginalize viewpoints not included in its primary summaries, affecting the visibility of underrepresented voices. The societal fabric risks becoming dominated by a few mainstream narratives powered by algorithmic biases, raising ethical questions about the democratization of information and the role of technology in shaping public sentiment [].

The advent of Google's AI Mode ushers in a new era of regulatory scrutiny, particularly as it reshapes how information is consumed online. As AI Mode disseminates synthesized responses that could potentially limit traffic to original content, regulators may question whether such a shift undermines fair market conditions. This concern is evident in ongoing antitrust lawsuits involving accusations of monopolistic practices by Google, highlighting fears of a tech ecosystem skewed towards a few dominant players.

Amidst these concerns, the political implications extend to the potential for AI algorithms to influence public opinion and shape the media landscape. With AI Mode prioritizing certain narratives, there is a growing anxiety over its capacity to create "filter bubbles" or echo chambers. This could compromise the impartiality of information available to the public, raising alarms among policymakers keen on preserving democratic discourse and diversity of perspectives. As noted by experts, the unintended consequences of AI prioritization could lead to critical regulatory actions to maintain a balanced flow of information.

As governments grapple with these challenges, they might consider implementing stringent regulations that oversee the role of AI in content dissemination. Such measures could include enforcing transparency in AI operations, promoting fair compensation models for content creators, and safeguarding copyright norms. This reflects the position of entities like the News Media Alliance, which has criticized Google's approach, arguing for fair compensation.

Furthermore, the transformation led by AI Mode could redefine the balance of power between large tech companies and individual publishers. This could spur legislative efforts to ensure transparency and accountability in how AI systems operate, with governments playing a more active role in mediating the evolving digital landscape. As the dynamics of information consumption continue to shift, political leaders will face pressure to devise strategies that mitigate the adverse impacts while fostering innovation and protecting public interests.

The rise of AI Mode as spearheaded by Google introduces a paradigm shift that echoes throughout the entire internet ecosystem. This technology fundamentally alters the traditional landscape of search engines by supplanting conventional link-based search results with AI-generated summaries. As detailed in an insightful article on BBC Future, this approach could disrupt the status quo, compelling publishers to rethink their strategies in an environment where AI navigates users directly to answers without visiting the source websites. While Google envisions a renaissance in search efficiency and content discovery with AI Mode, critics are wary, predicting its potential to upend the economic framework that sustains online content creation, by reducing website traffic and advertising revenue.

The implications of Google’s AI Mode extend far beyond mere technological advancement, as it portends profound changes to the way content is created, distributed, and consumed on the internet. The traditional model, where generating content lured users through page clicks to advertise against, could be jeopardized, sending ripples through the economic stability of digital publishing. Concerns outlined on BBC Future reflect fears of reduced incentives for maintaining diverse voices online due to reliance on AI summaries that might direct fewer clicks to original articles. This shift could result in a more homogenized web, where the nuanced pluralism of viewpoints is overshadowed by what algorithms prioritize.

In acknowledging the arrival of AI Mode, we must consider its long-term social and political ramifications. AI-driven content delivery raises the specter of new forms of information bias and misinformation, given the AI systems’ occasional lapses in source vetting, potentially fostering echo chambers or "filter bubbles." Concerns articulated in the BBC Future article highlight how this could impact media literacy, with individuals increasingly consuming pre-digested content, eroding critical engagement with information sources. The centralization of content delivery through AI also places unprecedented regulatory pressure on tech giants like Google to vet, verify, and responsibly manage the content they summarize, a theme that currently invites robust discussion among policymakers and technologists alike.

As discussions continue, Google defends AI Mode by emphasizing its potential to democratize access to varied information sources, fostering a more comprehensive understanding of complex topics. Notably, BBC Future discusses Google's claim that AI Mode isn't set to overshadow content creators but intends to highlight previously underrepresented voices through its algorithmic selections. Concurrently, there are calls for new monetization strategies for publishers and an emphasis on regulatory frameworks to ensure fair compensation and transparency, which are pivotal in navigating these inevitable transformations.

Ultimately, Google’s AI Mode challenges us to redefine our engagement with the web, and possibly accelerate towards the 'machine web,' a concept where AI not only serves answers but shapes the very nature of the content we engage with. The BBC Future article underscores the importance of balanced approaches to harnessing AI’s benefits while mitigating its pitfalls. As AI Mode potentially sets a precedent for internet evolution, stakeholders, from policymakers to publishers, are tasked with reconciling the need for innovation with the imperatives of ensuring a diverse, equitable digital landscape.