As has been the case for nearly two decades, a majority of Americans are expressing dissatisfaction with the current state of the nation. Today, 29% of Americans say they are satisfied with the way things are going in the country, while 70% of Americans say they are dissatisfied. While overall public satisfaction has risen since before the election, this increase is entirely driven by Republicans and Republican-leaning independents: Just 10% of Republicans said they were satisfied with the state of the nation in early October, but 35% of Republicans say this today. While ratings have spiked among Republicans, Donald Trump’s win has had the opposite effect on Democrats: In October, 38% of Democrats and Democratic leaners expressed satisfaction with the way things are going in the country, compared with about a quarter (24%) who say this today. Partisans’ national satisfaction ratings typically shift with change in control of the White House. For example, Democrats’ views improved markedly after the election and inauguration of President Joe Biden. Feelings about the country: Fear, hope, anger, pride For the most part, Americans’ feelings about the state of the country are not dramatically different from their feelings after the 2020 election. Yet partisans’ views are very different: Republicans are now far more likely to be hopeful and proud, while the share of Democrats who feel hopeful has declined sharply. After Biden won the 2020 presidential election, Democrats (67%) were considerably more likely than Republicans (41%) to say they felt hopeful about the state of the country. Following Trump’s win, partisans’ feelings have reversed: Now, 76% of Republicans say they are hopeful, while 29% of Democrats say the same. The share of Republicans who say they feel proud of the country also has risen sharply, from 25% after the previous election to 46% today. Democrats’ views have shown less change; 14% feel proud about the country, compared with 23% four years ago. Republicans also are far less likely to feel fearful and angry about the country than they did after Biden’s win. Roughly a third say they feel fearful, nearly 30 percentage points lower than four years ago. The decline in the share saying they feel angry has been about as large, from 56% then to 29% today. Democrats are somewhat more likely to say they feel fearful than in November 2020, when Trump was disputing the results of the 2020 election. Nearly three-quarters of Democrats (73%) feel fearful, compared with six-in-ten in 2020. A narrow majority of Democrats (54%) feel angry – about the same share who felt this way after the election four years ago (53%). How does the public feel about Trump’s win? Americans are divided in their reactions to Donald Trump winning the presidency. Half of all adults say they are excited (22%) or relieved (28%) about his victory, while roughly the same share say they are disappointed (33%) or angry (15%). Among Republicans Republicans’ reactions to Trump’s win are roughly similar to how they felt after Trump’s first victory in 2016. Today, 46% say they feel relieved, roughly the same as the share who said this in 2016 (48%). Republicans are somewhat more likely to say they are excited today than they were eight years ago (43% vs. 38%). Among Democrats As in 2016, Democrats have overwhelmingly negative reactions to Trump’s victory. However, they are somewhat more likely to say they are angry this year and less likely to feel disappointed. Today, 31% of Democrats say they are angry about Trump’s win. In 2016, 26% felt angry. At the same time, fewer Democrats say they feel disappointed (56%) than after the election eight years ago (64%). Most Americans say they aren’t surprised by Trump’s victory When asked if they are surprised Donald Trump won the presidential election, about a third of Americans (32%) say they are surprised by his win. About two-thirds (68%) say they are not surprised. Republicans are less likely than Democrats to say that they are surprised that Trump won the election. Only about a quarter of Republicans (24%) say they are surprised by the election results, compared with 42% of Democrats. In 2016, sizable majorities of those who voted for both Trump and Hillary Clinton said they were surprised that Trump won. source

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More There is no doubt AI agents will continue to be a fast-growing trend in enterprise AI. But as more companies look to deploy agents, they’re also looking for a way to help them make sense of the many actions these autonomous or semi-autonomous, AI guided bots will take, and avoid conflicts. To combat the potential sprawl of different AI agents deployed by users, service providers and enterprises alike have been building another type of AI agent: the orchestrator agent. Enter the orchestrator: these type of agents function as managers of other, more specialized agents, understanding each one’s role and activating each based on the next steps needed to finish a task. Most orchestrator agents, sometimes called meta agents, monitor if an agent succeeded or failed and choose the following agent to trigger to get the desired outcome. Good orchestrator agents exhibit certain features that make these work different from other agents, and for enterprises, elements make them work much better.  Integration Agentic ecosystems would eventually bring workflows together, even if the task involves talking to an agent outside the current platform. Orchestrator agents need to have robust integrations with other systems. Otherwise, agents remain an island able to communicate only with itself.  ServiceNow vice president of AI and Innovation Dorit Zilbershot said enterprises need to investigate if the orchestration agents they’re building or buying offer integration points to other systems.  “Effective orchestration agents support integrations with multiple enterprise systems, enabling them to pull data and execute actions across the organizations,” Zllbershot said. “This holistic approach provides the orchestration agent with a deep understanding of the business context, allowing for intelligent, contextual task management and prioritization.” For now, AI agents exist in islands within themselves. However, service providers like ServiceNow and Slack have begun integrating with other agents. Slack announced it offers integration for agents from Salesforce, Workday, Asana and Cohere. Full stack AI company Writer connects its agents to Amazon and Macy’s APIs so customers can directly sell products.  Don Schuerman, CTO at Pega, echoed the sentiment, saying an ideal orchestration agent is “API-centric so it can work both across agents but also across human-centric channels so that humans can be pulled in when needed.”  Knowledge of enterprise processes Like all agents, orchestrator agents need to know how the business works.  Orchestrator agents need a more holistic view of the best next step while moving the process forward. Zilbershot said a good orchestration agent “should be able to quickly analyze the context to determine both the best-suited AI agent and the optimal sequence of AI agent assignments to optimize workflows and minimize delays.” It’s not just about having insight into company data — though that is another essential component for agentic ecosystems — it’s also about understanding the processes enterprises do to run their business.  Writer CEO May Habib told VentureBeat in an earlier interview that enterprises that want an effective agentic system provide the workflow for an orchestrator agent to follow, not the other way around.  “If you don’t get the nodes in a workflow right, then the automated workflow is just moving crap from one system to another,” Habib said. “Over time, we built an application that, automatically with AI, knows based on the workflow suggests which tools to access.”  Reasoning capabilities Due to its nature, orchestrator agents make reasoning decisions more than other AI agents. As AI agents are tasked with more complex tasks, so will the orchestrator agents that help manage them.  Large language models underpin agent creation, and models with greater reasoning capabilities can run different scenarios before triggering the next agent. Orchestrator agents must have strong reasoning skills to ensure the workflow doesn’t break down.  Smooth communication between agents and human employees ServiceNow’s Zilbershot pointed out that orchestration agents are primarily responsible for the interaction between humans and agents. She said enterprises deploying AI agents would benefit from orchestrator agents with user-friendly interfaces and feedback networks. Hence, the agents continue to improve based on how employees interact and use them.  “By serving as the connective tissue between specialized AI agents and human operators, orchestration agents make it exponentially easier to not only streamline operations but also enhance the overall effectiveness of an organization’s agentic AI system,” she said.  Although AI agents are designed to go through workflows automatically, experts said it’s still important that the handoff between human employees and AI agents goes smoothly. The orchestration agent allows humans to see where the agents are in the workflow and lets the agent figure out its path to complete the task.  “An ideal orchestration agent allows for visual definition of the process, has rich auditing capability, and can leverage its AI to make recommendations and guidance on the best actions. At the same time, it needs a data virtualization layer to ensure orchestration logic is separated from the complexity of back-end data stores,” said Pega’s Schuerman.  Orchestrator agents already ship out in many agent frameworks. It can even be a differentiator for many agent libraries in the future. As enterprises continue experimenting more with agents, orchestrator agents may improve.  source

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By Dorothy Atkins ( November 22, 2024, 5:05 PM EST) — A California federal judge presiding over multidistrict litigation concerning social media platforms’ allegedly addictive designs told counsel Friday that she’s considering holding California and South Carolina state agencies in contempt for refusing to comply with discovery orders, telling counsel, “I can guarantee I will not let this stand.”… Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The artificial intelligence arms race heated up Friday as Amazon announced an additional $4 billion investment in Anthropic, doubling its stake to $8 billion in a move that signals the cloud computing giant’s ambitious bid to compete with Microsoft and Google in the fast-evolving AI landscape. The deal, which maintains Amazon as a minority investor, establishes AWS as Anthropic’s primary cloud and training partner. Most significantly, it commits Anthropic to using Amazon’s custom-designed Trainium and Inferentia chips for training and deploying its advanced AI models — a major win for Amazon’s semiconductor strategy. Amazon’s calculated investment positions the company at the center of AI infrastructure development. While Microsoft has captured headlines and market momentum through its OpenAI partnership, Amazon is taking a different approach by building a comprehensive AI stack from silicon to software. The commitment to use AWS Trainium chips is particularly notable, as it gives Amazon’s custom silicon program the kind of high-profile validation it needs to compete with Nvidia’s dominance in AI acceleration. How Amazon plans to challenge Microsoft’s AI dominance The expanded partnership has already shown promising results. According to Anthropic, tens of thousands of customers are using its Claude models through Amazon Bedrock, including major enterprises like Pfizer, which reported tens of millions in operational cost savings. The European Parliament has also adopted Claude to power a document analysis system that processes 2.1 million official documents. The timing of this deal aligns with a crucial shift in enterprise AI adoption. As companies move from AI experimentation to production deployment, they’re increasingly focused on security, scalability, and cost-effectiveness. By integrating Anthropic’s technology directly into the AWS ecosystem, Amazon is positioning itself to capture this next wave of enterprise AI adoption. Inside the battle for AI cloud supremacy This move significantly reshapes the competitive dynamics in cloud AI services. While Microsoft’s OpenAI partnership gave it an early lead in the generative AI race, Amazon’s deeper integration with Anthropic could prove more sustainable in the long run. The focus on custom silicon and tight hardware-software integration mirrors the successful playbook Apple used in personal computing — but at cloud scale. The deal also creates an interesting dynamic with Google, which invested $2 billion in Anthropic last year. With both tech giants now holding significant stakes, Anthropic has effectively positioned itself as a Switzerland of sorts in the AI wars, maintaining independence while leveraging the resources of multiple tech giants. What Amazon’s AI investment means for enterprise technology For enterprise customers, this partnership addresses several critical concerns. First, it promises more cost-effective AI deployment through optimization for AWS’s custom chips. Second, it provides a clear path to scale AI applications through Amazon’s global infrastructure. Perhaps most importantly, it offers a more secure and compliant way to adopt advanced AI capabilities. Anthropic’s latest Computer Use feature, which allows AI to operate computers like humans, will be available first to AWS customers. This exclusivity period could give Amazon’s enterprise customers a significant head start in automating complex workflows. The future of cloud computing: AI takes center stage The real significance of this deal lies in its long-term implications for the cloud computing industry. As AI becomes increasingly central to enterprise operations, the ability to offer optimized, integrated AI services could become the key differentiator in the cloud market. Amazon’s investment suggests a belief that the future of cloud computing will be built on AI infrastructure. The deal also reflects a broader industry trend toward vertical integration in AI, with major players seeking to control every layer of the stack from chips to applications. This could lead to a more concentrated market structure, with a few large players dominating the AI infrastructure landscape. As enterprise AI adoption accelerates, this partnership could prove pivotal in determining which technology giants emerge as the dominant forces in the AI era. With the generative AI market projected to exceed $1 trillion within the decade, Amazon’s expanded investment in Anthropic represents a strategic bet on shaping the future of artificial intelligence. source

Americans express ‘warmer’ feelings toward Trump today than after the 2020 or 2016 elections Donald Trump addresses supporters at the Palm Beach Convention Center in the early hours of Nov. 6, 2024, in West Palm Beach, Florida. (Joe Raedle/Getty Images) Pew Research Center conducted this study to understand Americans’ views of Donald Trump, his conduct since the election and their feelings about the country. For this analysis, we surveyed 9,609 U.S. adults from November 12 to 17, 2024. Everyone who took part in this survey is a member of the Center’s American Trends Panel (ATP), a group of people recruited through national, random sampling of residential addresses who have agreed to take surveys regularly. This kind of recruitment gives nearly all U.S. adults a chance of selection. Surveys were conducted either online or by telephone with a live interviewer. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other factors. In addition, this survey is also weighted to benchmarks for voter turnout and presidential vote preference. Read more about the ATP’s methodology. Here are the questions used for this report, the topline and the survey methodology. Following Donald Trump’s victory in the Nov. 5 presidential election, Americans narrowly approve of the president-elect’s plans and policies for the future. Roughly half of U.S. adults (53%) approve of his plans, while 46% disapprove. As was the case during the presidential campaign, Trump draws broad confidence for his handling of the economy. Nearly six-in-ten Americans (59%) say they are very or somewhat confident in the president-elect to make good decisions about economic policy. Majorities also express confidence in Trump on law enforcement and criminal justice (54%), immigration (53%) and foreign policy (53%), while fewer (45%) are confident in Trump’s handling of abortion policy. Jump to Chapter 1 for more on Americans’ views of Trump Following a divisive presidential contest, 41% are confident in Trump to bring the country closer together; 59% express little or no confidence that Trump can do this. And Americans give Trump low marks for his efforts to date to reach out to those who supported Kamala Harris in the election. Roughly half of Americans (52%) say it is extremely or very important for Trump to reach out to Harris’ supporters to try to unify the country. Another 30% say this is somewhat important. Only 17% say this is not too or not at all important. Just 31% of Americans say Trump has done an excellent or good job reaching out to the vice president’s supporters to try to bring the country together; more than twice as many (66%) say he has done only a fair or poor job. Jump to Chapter 2 for more on expectations of the transition and Trump’s conduct The latest national survey by Pew Research Center, conducted among 9,609 adults from Nov. 12 to 17, 2024, finds that Trump’s personal image is more positive than it was shortly after the 2020 or 2016 elections. (Note: Most interviews were completed before Trump announced several of his nominees for Cabinet positions, including Robert F. Kennedy Jr. for secretary of Health and Human Services, and his initial selection of Matt Gaetz for attorney general) When asked to indicate their feelings toward Trump on a “feeling thermometer” ranging from 0 to 100, 43% give Trump a “very warm” or “warm” rating (between 51 and 100 on the 0-100 scale). Somewhat more (48%) give Trump a “cold” rating (below 50), including 40% who rate him “very cold” (between 0 and 24). Still, the share of Americans rating Trump warmly today (43%) is higher than it was after the 2020 (34%) or the 2016 (36%) elections. Fewer than four-in-ten describe Trump as even-tempered and a good role model. In evaluating Trump’s personal traits and characteristics, a 55% majority say the phrase “mentally sharp” describes Trump very or fairly well, while nearly as many (51%) say he keeps his promises. Fewer than half describe the president-elect as caring about the needs of ordinary Americans (45%) or honest (42%). And as was the case during the presidential campaign, Trump draws relatively low ratings for being even-tempered (37%) and a good role model (34%). How Americans feel about the country after the election The share of Americans who are satisfied with the way things are going in the country has increased since October, from 23% to 29%. As has been the case for the past several years, a large majority (70%) remains dissatisfied with national conditions. Jump to Chapter 3 for more on Americans’ feelings about the state of the nation Republicans and Democrats have traded places in their views of the country since Trump’s victory: 35% of Republicans and Republican-leaning independents express positive views of national conditions, up from just 10% last month. About a quarter of Democrats and Democratic leaners (24%) have positive views, compared with 38% in October. Fear and anger are dominant emotions among Democrats. Nearly three-quarters of Democrats (73%) say they are “fearful” about the state of the country, while 54% say they feel “angry.” Just 29% of Democrats feel “hopeful” and even fewer (14%) feel “proud.” Republicans are more hopeful, less fearful. Most Republicans (76%) say they feel hopeful about the state of the country, while nearly half (46%) say they are proud. Fear and anger are less widespread among Republicans than Democrats. Related: After Trump’s victory, Democrats are more pessimistic about their party’s future Other findings: Presidential transition, emotional reactions to Trump’s win, the state of partisan relations Smooth presidential transition anticipated, in contrast with 2020. A sizable majority of Americans (70%) say they are very or somewhat confident that the transition to the Trump administration will go smoothly. Republicans (79%) are more likely than Democrats (64%) to say the transition will go well. At a similar point four years ago, when Trump was contesting the election results, just 26% expected the transition to go smoothly. Trump’s post-election conduct viewed much more positively than four years

American wearables firm Realwear has acquired Swiss augmented reality (AR) startup Almer Technologies.  Almer’s AR headset — the Arc-2 — overlays digital information onto the wearer’s field of view, allowing them to access real-time data, instructions, or assistance from an engineer seated anywhere in the world. The glasses are targeted specifically at industrial companies looking to help their staff maintain and repair equipment and machinery remotely. “Almer’s innovative approach for frontline workers has enabled us to deliver industrial AR solutions that are intuitive and effortless to use,” said Sebastian Beetschen, Almer’s co-founder and CEO. Beetschen founded Almer alongside Timon Binder in 2021 as a spin-off from a research project at the Swiss Insitute for Technology. The company has raised $8mn in funding so far. Its clients include Coca-Cola, Ford, and Samsung.  Webinar: Unicorn DNA: The Blueprint for Scaling Success What does it take to build a unicorn? On November 19, 3pm CET, top executives of unicorn companies will reveal the mindset, strategies, and innovative thinking that propelled their companies to the top. For Realwear, the acquisition is part of its plans to become a global leader in the industrial wearables space. For Almer, the deal bolsters the budding company’s ambitions to scale at pace and expand beyond Europe.  “We are thrilled that the Almer team is joining forces with the American leader in the augmented reality space for frontline workers,” said Olivier Laplace, managing partner at Swiss VC Vi Partners. The firm was an early back of Almer.  “This strategic move validates our early conviction that Almer is a technical front-runner,” said Laplace, who will now join the board of directors of Realwear. The acquisition comes as the market for AR, and extended reality (XR) more broadly, consolidates.  The initial hype around XR sparked a wave of startups and experimental applications, driven by excitement over immersive digital experiences. Now, as the market matures, we’re beginning to see where the technology adds real value.  XR tech can now be found in any industry that benefits from immersive interactions. Healthtech has been one of the greatest use cases. AR is used to provide train medical professionals, enhance patient diagnostics, and even facilitate remote surgeries. Startups in transportation, manufacturing, professional training and construction are also harnessing the technology. And of course, gaming and entertainment — the early targets of the XR market — still make up a sizeable portion of the market. Almer’s buyout was financially backed by TeamViewer, a major player in enterprise AR software that owns a minority stake in both Almer and Realwear. Almer will continue to operate from its headquarters in Switzerland. The deal amount was not disclosed.    source

The Coca-Cola Company released three new AI-generated holiday ads inspired by the beverage giant’s classic 1995 “The Holidays Are Coming” commercial. Produced entirely with AI video models such as Runway and Luma Dream Machine, this represents a step forward in photorealism for AI-generated video. Predictably, the commercials have sparked some controversy among creators, who criticize the “AI sheen” and lack of realism with the AI-generated people and objects. Creator criticism is understandable given fear of job loss and frustration for impact on their craft. Yet these commercials and a growing list of others — including Dove, Under Armour, and Toys“R”Us — move the marketing industry closer to the point where AI content and advertising production becomes normalized. This means complex choices beset brands and executives looking for the best ways to leverage AI. Indemnity For Video Is The Last Major Hurdle The collective opinion among agencies and marketing services providers is that video tools such as Sora, Runway, and Luma Dream Machine aren’t quite ready for prime time, citing the need for incremental improvements in quality and the critical need for indemnity. The announcement of Adobe’s Firefly Video Model promises to extend commercial indemnification to video, as the company trains its models using Adobe Stock and other permissible material. Once indemnification is available for video models, marketers should anticipate others to follow suit, clearing the path for more production use cases. Balance Automated Marketing Moments With Intuitive Ones AI creates a new polarity: machine-produced marketing assets and campaigns as opposed to human-generated ones. Mark Sinnock, chief strategy officer for Havas, articulated this as a synthetic versus authentic tension. But like the marketing tensions that came before — brand or performance, acquisition or retention, television or digital — this new one is not a mutually exclusive decision. There’s a place for automated, machine-made marketing in social feeds, websites, apps, and games, just as there’s also a place for intuitive, human-produced marketing experiences at retail, events, and in products. In fact, the Coca-Cola AI “The Holidays Are Coming” ads are part of a broader holiday campaign by The Coca-Cola Company that includes its 2023 “The World Needs More Santas” television commercial, a multicity truck tour, an AI digital experience, and an on-package promotion. Coca-Cola’s AI commercials aren’t the brand’s only expression of the holidays, nor are they the end of creativity as we know it but rather part of a combination of machine automation and human intuition that Forrester calls intelligent creativity. Hold Fast To The Responsibility To Disclose AI’s Role Most interestingly, the Coca-Cola AI commercials have sparked both controversy among creators and delight among consumers unaware of AI’s contribution to production. The context of knowing AI’s role activates bias among those who stand to lose or feel threatened by AI. But consumers shown the commercials without AI context in System1’s creative testing tool rated the ads a 5.9 out of 6, illustrating the commercials’ sheer strength. This suggests that removing the AI-awareness context could improve the efficacy of AI-created commercials, allowing brands to realize the efficiency of their AI and automation investments. Resist this temptation. Most brands don’t enjoy over a century of holiday equity built into the Coca-Cola brand that enables consumers to oversee or overlook AI’s uncanny valley. And once advertising technology starts down the path of omission, it becomes more susceptible to abuse and misuse, contributing to the already eroding trust of the 21st-century digital media environment. Realize Cost Efficiency Through Experience Efficacy Among the most exciting prospect for brands and marketing executives is the potential to realize the “do more with less” remit: more content, more iterations, and more relevance for less time, less cost, and less effort. By all accounts, some agencies leveraging brand AI systems are removing 25% or more of the costs for building campaigns. But fast, cheap content creation is worthless if not manifested as effective, engaging content outputs. Alas, this is a process requiring models to learn the brand and audiences and creators to learn the models and systems. Training, experience, and experimentation are all necessary to build an AI-powered marketing operating system to produce experiences that consumers want while yielding the cost reductions that brands need. I’ve recently added generative AI for visual content (images, video, and motion graphics) as part of my coverage. If you are a Forrester client interested in discussing AI marketing, schedule an inquiry with me. source

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