Modern broadcasting moves at a breakneck pace – a reality that leaves little room for the legacy systems of the past. Stations must now meet rising viewer expectations while navigating the latest media technology trends. This creates a high-stakes balancing act, especially as operational belts continue to tighten. Such a demanding landscape requires a new kind of resilience to keep newsrooms agile and responsive.

That’s why the industry is shifting toward system virtualization. As newsrooms invest in more advanced, software-driven workflows, pressure is building to modernize legacy systems – including weather operations. Virtualization strengthens weather operations with the flexibility and stability needed when the stakes are highest.

Rethinking media tech from the ground up

Progressive broadcast technology leaders are moving beyond traditional, hardware-bound systems. Instead, they’re adopting cloud-based tools that improve collaboration, lower costs, and increase uptime. From newsroom automation to audio infrastructure, many functions are already virtualized. Now, stations are asking for the same progress in weather operations – and for good reason.

The expectation is clear: If every other part of the media tech stack is evolving, weather technology should keep pace.

What virtualization really means for weather teams

System virtualization replaces on-prem, physical infrastructure with cloud-hosted, software-defined systems. In a weather context, this means meteorologists and producers can access forecasting tools, create graphics, and manage digital publishing workflows from virtually anywhere. Instead of relying on a fixed location or dedicated workstation, teams can collaborate and deliver coverage through browser-based access. The virtual environment integrates seamlessly with other newsroom systems, supporting the flexibility modern broadcasters need.

Such flexibility comes from decoupling weather workflows from dedicated hardware. Virtualized systems allow teams to scale resources on demand, centralize management, and reduce the long-term costs associated with maintaining, upgrading, and eventually replacing physical infrastructure. For weather teams, this shift supports faster collaboration, simpler operations, and greater resilience during high‑pressure moments without adding technical overhead.

Flexibility that matches the speed of news

Weather stories break quickly – and don’t always follow a 9-to-5 schedule. Virtualization allows stations to adapt in real time. Whether it’s scaling up during severe weather or extending reach during major events, virtual systems flex with demand.

This flexibility allows stations to support new storytelling formats without rebuilding their infrastructure. Virtualized environments make it easier for weather teams to access tools remotely, collaborate across locations, and adapt workflows as production needs evolve.

By moving content creation and publishing workflows into the cloud, stations reduce reliance on fixed workstations and local systems. Weather teams can prepare shows, update graphics, and support coverage from any connected location. The result is better operational continuity during severe weather, staffing constraints, or high-pressure news cycles.

Resilience you can rely on 

Continuity is critical in weather operations, especially when conditions are severe. System virtualization helps reduce downtime by shifting away from single points of failure. With cloud-based redundancy, stations can continue delivering weather coverage even if local infrastructure is compromised. 

Disaster recovery workflows, remote handoffs, and shared rendering capabilities across stations all contribute to more reliable operations. Operational resilience has been tested and trusted in real-world scenarios. Distributed rendering supports shared processing power to help stations avoid bottlenecks and reduce downtime during peak demand.

Scalable, sustainable, station-friendly

Transitioning to a virtual environment does more than modernize the workflow; it fundamentally reshapes the economics and efficiency of station operations.

Cost control without compromise

Virtual systems offer another critical advantage: cost control. The growing concern around total cost of ownership (TCO) has made broadcasters more selective about new tech investments. Virtualization shifts spending away from large upfront hardware investments and toward more flexible, usage-based operating costs, reducing reliance on underused on-prem systems.

​​It also reduces capital and maintenance costs by removing the need to manage on-prem systems. A pay-as-you-use model gives broadcasters more control over expenses and reduces the burden of daily system management.

A managed model that reduces IT strain

System virtualization centralizes weather workflows into a highly available managed service, reducing IT complexity and freeing up teams to focus on content rather than infrastructure. Cloud-based updates keep the platform current without requiring hardware replacements, helping stations avoid obsolescence while staying aligned with evolving tech standards.

As stations reevaluate their infrastructure, virtualization offers a path to simplify operations, reduce overhead, and prepare for future formats without locking teams into expensive, aging hardware systems.

Building the future: Infrastructure for next-generation weather experiences

As storytelling formats evolve, broadcast infrastructure must evolve with them. System virtualization provides the flexible, cloud-based foundation stations need to support emerging tools, technologies, and formats – even as those continue to change.

By investing in flexible, cloud-based infrastructure today, broadcasters can better prepare for what’s next, including support for emerging formats such as the virtual weather map and VR weather forecasts. With system virtualization, teams can adapt faster, without overhauling their tech stack every time workflows or audience demands evolve.

Strategic positioning for the next era of weather tech

Virtualization is not a quick fix. It’s a foundation for how weather teams will operate and innovate in the years ahead. Stations that begin the transition now will be better equipped to adapt to emerging formats, cover complex weather events, and maintain continuity no matter the conditions.

As The Weather Company prepares to introduce new virtualization capabilities, we remain focused on helping stations meet today’s challenges while building for tomorrow. We’re committed to delivering solutions that are as reliable as they are forward-looking, and, as always, powered by the world’s most accurate forecaster.¹

Next steps for virtual weather operations

System virtualization delivers on three essential fronts: flexibility, resilience, and scalability – all baseline needs for modern weather operations.

Broadcasters who rethink their infrastructure today will be best positioned for what’s ahead. The Weather Company is working with select partners to help define the next chapter of virtualized weather operations.

Connect with our team to explore design partner opportunities.

When a storm hits, you don’t get a second chance to get it right. In broadcast media, severe weather coverage isn’t just a news story – it’s the moment your audience needs you most. But as storms grow more frequent and volatile, the need for fast, clear, and trusted reporting has never been greater.

At The Weather Company, we believe that delivering timely, actionable updates is more than a competitive advantage. It’s a public safety responsibility. By leveraging our real-time weather radar, advanced weather forecasting models, and scalable severe weather alerts, broadcasters can finally move faster than the storm.

The high-stakes reality of severe weather broadcasting

When warnings are late or unclear, consequences follow. Lives are at risk. Trust erodes. In many communities, the local news station is the most trusted voice during dangerous weather. This trust is fragile, and once it’s broken, it’s incredibly difficult to win back.

Severe weather coverage is often the most-watched content a newsroom delivers. For instance, local TV audiences doubled in Orlando during Hurricane Ian, while streaming app reach surged by nearly 400%.¹

Your severe weather coverage toolkit

To be the voice of authority, newsrooms need a cohesive ecosystem that translates complex atmospheric physics into clear, visual stories. The Max platform helps time-strapped meteorologists streamline response from the first cloud formation to the final “all clear.”

The Weather Company’s storm tracking capabilities go beyond industry standards, offering powerful, exclusive features not found in competitor platforms:

• Up to 12 individual streaming radar sites displayed simultaneously for full regional awareness
• One-click switching between radar moments, making it easy to shift focus as conditions evolve
• 3D storm structure visualization for sharper insights and clearer communication
• Early detection of storm rotation and automatic storm tracking, including debris markers
• GOES mesoscale sectors with real-time updates every 60 seconds
• Integrated on-air alerting and hazard-specific branding, automatically surfaced across all platforms

Max Storm: Powering precise visual communication

At the foundation of severe weather coverage is Max Storm, built to give meteorologists greater visual clarity and control during critical moments. With customizable color tables for radar, satellite, and model data, Max Storm helps teams highlight key threats with precision and speed.

From rapidly intensifying thunderstorms to dangerous winter weather, Max Storm delivers:

• High-definition visualizations that show 3D storm structure
• Real-time shear tracking and satellite analysis
• Automatic detection of hail, lightning, rotation, and tornadic debris
• Dozens of color table options to improve audience understanding

These capabilities help you look your best when storms are at their worst.

Max Alert Live: Scaling alerts across every screen

Once the forecast is ready, Max Alert Live delivers critical updates to audiences across channels – TV, mobile, OTT, apps, and digital platforms. By automating the distribution of severe weather alerts, Max Alert Live eliminates manual bottlenecks and keeps coverage consistent.

Example of on-screen alert with Max Alert Live

Teams can publish once and distribute alerts across all endpoints simultaneously, maintaining clarity and speed even as conditions shift.

Max Velocity: Processing real-time weather radar

When seconds count, you can’t afford latency. Max Velocity acts as the high-speed engine for your real-time weather radar data. It allows meteorologists to ingest, process, and visualize storm cells with unprecedented speed. With this technology, your station can identify rotation or hail cores faster than legacy systems, providing the “why” and “where” with enough clarity for viewers to take immediate action.

An example of how Max Velocity can be used to stream live to Facebook or YouTube to record quick updates for the station’s digital platforms

Max Studio: Dynamic interactivity and analysis

During a live break, the ability to “interrogate” the storm is what keeps viewers leaning in. Max Studio brings interactivity to your severe weather coverage, allowing talent to manipulate data on touchscreens or through gesture-based controls. It allows meteorologists to break down complex weather forecasting models into digestible, neighborhood-level insights that show exactly who is in the path of danger.

An example of touch-screen interaction using Max Studio during severe weather storytelling

Max Traffic: Visualizing impact on the ground

Integrating traffic into your severe weather coverage provides a unique utility that keeps audiences tuned in long after the initial severe weather alerts have expired. Max Traffic lets you own the “commute” narrative by combining real-time weather and traffic data into a single, compelling story.

When morning storms threaten visibility, you can show not only what’s happening but what it means for the drive. With live traffic camera integration and a new partnership with Total Traffic & Weather Network (TTWN), Max Traffic helps broadcasters bring deeper, more actionable insights to every screen.

• Reliable, audience-focused data: TTWN gathers real-time traffic conditions from trained reporters across the U.S., helping stations deliver high-impact incident updates that matter most to local viewers.
• Deeper incident insight: Sixteen regional operations centers provide 24/7 coverage of traffic incidents from inception to resolution, delivering greater accuracy and immediacy.
• Clearer visual storytelling: Max Traffic’s map design emphasizes key highways and commuting corridors, stripping out side-street clutter to keep the viewer focused on what’s relevant.

The science of speed: Next-gen weather forecasting models

The science behind weather forecasting models has reached a tipping point. To stay ahead of a rapidly changing cell, “hourly” updates are no longer enough.

Our proprietary Global High-Resolution Atmospheric Forecasting (GRAF) model is the engine behind the next generation of coverage. Built on a GPU-accelerated supercomputer in partnership with NVIDIA, GRAF provides a level of precision that legacy weather forecasting models simply can’t match:

• Hyper-local precision: 3.5km resolution allows you to see weather impacts at the neighborhood level.
• Unmatched frequency: Updates hourly with 5-minute forecast intervals.
• The competitive edge: GRAF delivers insights 6x faster and at 3x the resolution of leading global models.

As the world’s most accurate forecaster,² we don’t just help you deliver severe weather coverage. We help you deliver it better, faster, and at scale.

Trust is earned the hour before the storm

In moments of chaos, the station that stays calm and clear earns lifetime loyalty. Reliable severe weather alerts, combined with critical human insight, reinforce your reputation as the source people turn to first. That’s just one reason over 80% of North American broadcasters trust the Max platform.³

The next generation of severe weather alerts is more personalized, proactive, and precise. The Weather Company brings decades of experience, proven technology, and a commitment to accuracy to every solution we offer. From weather forecasting models to real-time weather radar, your newsroom can stop reacting to the weather and start leading the conversation.

Don’t let a legacy workflow slow down your response. Book a demo of the Max platform today.

As more viewers turn to digital platforms for news and content, TV broadcasting is changing fast to stay relevant in a mobile, on-demand world. The next chapter of the future of TV belongs to those who can blend emerging broadcasting technology trends with what has always made television essential: accurate information, local trust, and timely delivery.

1) From linear decline to digital-first dominance

Audiences are continuing to shift toward digital platforms – and the data is clear. According to Nielsen, streaming accounted for 44.8% of U.S. TV viewing in May 2025,¹ slightly surpassing combined linear TV (broadcast + cable), which fell to 44.2%. This marks a symbolic turning point: For the first time, digital viewing has eclipsed traditional TV on the biggest screen in the home.

Meanwhile, more than 77% of the U.S. population is forecast to watch OTT video in 2025,² according to eMarketer. That figure includes YouTube, free ad-supported TV (FAST), and subscription services, reflecting the growing momentum toward digital-first platforms.

Broadcasters are no longer just TV stations – they’re evolving into multi-platform media organizations. From mobile apps to TikTok to 24/7 streaming news services like CBS News Boston, the industry is reorienting around where viewers actually are.

And this is just the beginning. Linear TV’s share of video time on TV screens dropped from 72.2% in 2020 to just 56.5% by the end of 2024³ – a dramatic shift in just four years.

“The most successful media outlets will be those that can deliver accurate, local, and up-to-the-minute updates,” says Terry Eliasen of WBZ-TV. That means building the infrastructure for streaming, mobile, and real-time content delivery.

Within the next few years, digital-first workflows will lead, and linear TV will be viewed more as a supplement.

2) Immersive tech: AR/VR and the rise of the virtual studio

Gone are the days of elaborate physical sets. Many newsrooms are now green-screen studios powered by AR/VR tools that create virtual environments with a few keystrokes. This shift has enabled dynamic storytelling, especially in weather coverage. Smaller-market stations are often down a person, with larger station meteorologists filling in – where storm systems can appear beside the presenter in real time.

Many broadcasters now have the ability to transform their entire look with just a few keystrokes, thanks to virtual sets and AR/VR tools. But there’s growing concern that too much visual spectacle can distract from the core mission. While immersive graphics enhance storytelling, the priority must remain on delivering essential information.

“We must be certain that we still are delivering the information that people need and not just giving them eye candy,” Eliasen cautions. Smaller-market stations are often down a person, with larger station meteorologists filling in, rather than just high-tech visuals. Despite having instant access to forecasts via mobile apps, viewers still rely on their local TV meteorologists when safety is on the line.

3) AI in broadcasting: Automation, personalization, and precision

Artificial intelligence has become the engine room of modern broadcasting. AI now supports:

• Automating newsroom workflows
• Generating real-time weather models and graphics
• Localizing content for individual viewers
• Powering voice-activated tools in studios

At The Weather Company, AI-enhanced forecasts integrate over 100 data models in real time, personalized for every location, moment, and platform.

“As we all know, AI has so many layers and possible uses,” says Lelan Statom, Senior Meteorologist at News Channel 5 Nashville. “We use it with our voice-activated prompter in the studio. For weather, it’s already being used to produce models and help improve workflows.”

4) Expanding Hispanic audiences and content localization

The rapid growth of Hispanic digital audiences is shaping the future of broadcast television. This demographic leads in streaming adoption and digital media consumption, prompting networks to invest in bilingual content and AI-driven translation tools.

“Over the next few years, the television industry will be profoundly transformed by the convergence of AI, the growing influence of the Hispanic market, and advances in meteorology,” says Albert Martinez, founder of Canal Meteo. “Spanish-language content and digital platforms will be critical as viewing preferences shift.”

5) The cloud era: Collaborative production, streamlined workflows

Cloud-based production is now central to broadcast operations. Centralized graphics systems and shared storage environments allow for:

• Real-time collaboration across markets
• Streamlined branding
• Faster content updates

But there are downsides. “Broadcasters will deepen their reliance on cloud storage and shared graphic spaces… but [this] will also be used to forestall hiring decisions,” warns Brandon Butcher. “Smaller-market stations are often down a person, with larger station meteorologists filling in – unpaid”.

That pressure is felt daily in the field. “While there may be a variety of new features broadcast groups are rolling out in their apps and streaming platforms, the bottom line remains meteorologists have to do more with less time,” notes Betsy Kling, Chief Meteorologist and Anchor at WKYC-TV. “This means finding ways to multitask and leverage technology. Thinking outside the box and devoting time to deepen knowledge of our weather systems is key.”

The challenge for 2026? Balancing broadcast media innovation with human bandwidth and local authenticity.

6) The rise of independent meteorologists and new monetization paths

The broadcast media vs. digital media conversation isn’t just about networks. More meteorologists are leveraging technology at home to launch their own YouTube channels, livestreams, and subchannels – reaching loyal audiences directly and keeping the profits.

Brandon Butcher forecasts a future where “individual meteorologists…realize they are the face of the revenue stream and audience relationship” and may break away to build solo brands. “The early adopters will be successful, claiming large territorial markets, but as more jump in, competition will shrink the pie.”

7) Trust, accuracy, and the power of local connection

In a media world full of noise, one thing hasn’t changed: Accurate, local content still wins.

Tools like The Weather Company’s Max Engage allow broadcasters to push content across TV, mobile, and social simultaneously. “There are few programs that allow for multi-platform distribution with one click,” says Jordan Evans of ABC7. “Max is ahead of the game with its Engage and Social products.”

And in markets where real-time alerts save lives, the value is even clearer: “Max Engage allows us to quickly and effectively deliver life-saving alerts…while maintaining uninterrupted on-air coverage,” says Danielle Breezy from WKRN-TV.

Looking ahead: Broadcasting in 2026 and beyond

The future of the television industry will be defined by how well broadcasters balance technology with trust. As AI, AR/VR, and cloud production reshape workflows, success will belong to those who:

• Stay digital-first
• Serve diverse, mobile audiences
• Prioritize real-time, accurate forecasting
• Maintain deep community relevance

In other words, the networks that thrive will not just keep up with television trends; they’ll shape them.

The Weather Company, as the world’s most accurate forecaster,⁴ is helping broadcasters lead this transformation – bridging next-gen technology with the trust that local audiences rely on.

For decades, advancements in weather forecasting have been driven by increasingly sophisticated technology and the relentless pursuit of more accurate data. But at The Weather Company, we’ve found that the most powerful engine for progress isn’t just technology – it’s people. Specifically, a dedicated group of meteorologists and scientists who have been meeting monthly for the past four years to refine and enhance the Global Resolution Atmospheric Forecasting (GRAF) modeling system.

But first, a closer look at GRAF.

What is GRAF? High-resolution atmospheric forecasting explained

The GRAF modeling system is a proprietary, physics-based, high-resolution, rapidly updating global weather forecasting system. Unlike conventional global models that update every six or more hours and operate at a resolution too wide to capture many weather phenomena, GRAF updates hourly and offers high-resolution forecasts down to 4 kilometers. This enables it to predict something as small as a thunderstorm, making it a critical tool for everything from daily planning to severe weather preparedness.

Behind the forecast: The GRAF task force in action

This isn’t your typical corporate task force. The GRAF team is a dynamic forum where The Weather Company technical experts, who build and maintain the model, directly engage with clients around the country who use it every single day on the front lines of forecasting. This collaborative approach has become a cornerstone of our commitment to excellence, so that the weather model data we provide meets the real-world needs of broadcast meteorologists, news stations, and, most importantly, the communities they serve.

In a recent meeting, the conversation covered everything from the finer points of radiational cooling to the nuances of tropical storm modeling. Friendly dialog is based on mutual respect and candid feedback. The Weather Company weather science team shares what they’re working on and what challenges they’re facing, while clients offer crucial, boots-on-the-ground insights as they work with GRAF data in their Max platform.

Direct impact: How client feedback shapes our technology

This unique and collaborative partnership is truly a “two-way street.” It’s not about top-down directives; it’s a living dialogue where every piece of feedback, whether a bug report or a suggestion for a new parameter, is heard and considered.

Our clients’ input is invaluable. They are the ones seeing how GRAF performs in a wide variety of real-world scenarios, from snow in Portland to tornadoes in Mississippi. This direct feedback loop results in targeted improvements which – along with our advanced models, techniques, and meteorological expertise – helps secure our title as the world’s most accurate forecaster.¹

From report to resolution

The results of this collaboration are already evident. Task force members have seen firsthand how their feedback has led to direct improvements in the model. Patrick Bigbie, a meteorologist and task force member, recalled a specific instance where a bug in an ice parameter was fixed after he reported it. “There was a very noted difference once he put in the correction for it,” he said.

Another member, Mark Nelsen, a broadcast meteorologist in Portland, Oregon, shared how the group’s discussions helped him understand why a snow forecast was too high during a specific event. “The model was actually seeing ice pellets, too,” Nelsen explained. “I was able to spread that around and put it in my blog so others in Portland would be aware of that too.” This kind of information sharing extends beyond the meeting, directly benefiting a broader audience.

In addition, notable enhancements have also included:

• Improvements to the forecasting of shallow cold air and snowfall across the Columbia River Basin. Other models were picking up on upcoming snowfall in that area up to a few days faster than GRAF. Using The Weather Company’s lab environment of high-performance compute resources, a few weeks of research and development allowed for improvements to the PBL and orographic wave drag physics. These changes had a positive impact not only for the Columbia River Basin, but also across other parts of GRAF’s global domain. This was a great example of one GRAF user’s observation impacting GRAF development beyond a local use case.
• Better prediction of wind gusts across southern California. The GRAF model had overpredicted wind speeds in that area by as much as 40 mph at certain times. The Weather Company added new wind gust algorithms that significantly improved GRAF’s wind gust forecasts.
• Improvements to visibility forecasts across Louisiana. GRAF’s forecast visibility was too low during radiational cooling events. The Weather Company implemented new algorithms and improved the visibility product across a wide range of atmospheric conditions.
• Better prediction of freezing rain and snowfall across Mississippi. GRAF users reported excessive freezing rain and snow forecasts. This was quickly resolved in three days with land surface model updates.

More than a meeting: A commitment to continuous improvement

These exchanges are not just about fixing problems – they’re about innovating and looking ahead. The team is consistently exploring how to incorporate new data, new visualization capabilities, and new forecast parameters that make the product more useful and powerful. The conversation often touches on emerging technologies like AI and machine learning to keep the GRAF modeling system evolving with the industry.

“It’s a testament to our team’s deep commitment to customer-centric innovation,” said Sheri Bachstein, President of The Weather Company. “By bridging the gap between our weather science experts and the broadcast meteorologists who rely on our products daily, we are not only building more robust and reliable forecasting tools but also fostering a community of shared knowledge and continuous improvement. This collaboration is a core part of our continued efforts to deliver the most trusted and reliable weather information in the world.”

Innovating through shared expertise

In a world where weather events are becoming more frequent and more severe, the need for accurate, timely, and hyper-local forecasts has never been greater. The GRAF task force is a testament to how the best technology is only as good as the collaboration behind it. By empowering our clients to be partners in our product’s evolution, we’re not just building a better model – we’re helping to create a safer, more informed world.

When it comes to the growth of the FAST industry, the numbers don’t lie. They’re telling a story of rapid expansion, and frankly, they’re starting to look a little unbelievable – but in the best possible way. Revenue is projected to climb from $8 billion in 2023 to $17 billion by 2029,¹ and by 2028, streaming ad spend will overtake linear television.² Today, more than 115 million FAST users in the U.S. watch an average of three hours per day, generating over two billion ad impressions annually.³

At the same time, 48% of U.S. adults now prefer digital as their primary source for local news, and 89% of online weather content is outdated.⁴ FAST has even revitalized linear TV, with personalization expected to accelerate that growth further.⁵

Personalized weather content provides the missing link for FAST platforms. As one of the most habitually consumed information categories, weather offers the perfect solution to fill FAST’s demand for fresh, relevant, and monetizable stories. But first, let’s clear up a few common myths.

Myth #1: Repurposing linear weather segments is enough to attract digital audiences

Reality: FAST audiences expect content that’s hyper-local, on-demand, and visually dynamic. Linear weather clips don’t translate well into a digital-first environment due to font colors and sizes, and map graphics. Studies also confirm the issue: nearly 9 in 10 online weather updates are stale.⁶

Solution: ReelSphere from The Weather Company automates the creation of digital-first, snackable video. Each segment is updated in real time, visually engaging, and tailored to the viewer’s specific location, exactly what FAST consumers expect. Audiences increasingly expect weather content to be designed for digital platforms.⁷

Myth #2: Filling content gaps is too expensive and requires a huge team

Reality: Producing fresh digital content manually is costly and inefficient. A recent study found that 73% of online weather coverage is clipped content and just 27% is recorded content,⁸ which shows how heavily broadcasters still rely on repurposing rather than creating digital-first material.

Solution: ReelSphere delivers digital content automation that scales output without increasing staff. Broadcasters can keep their teams focused on high-impact weather days while ReelSphere generates an ongoing stream of ready-to-air digital segments.

Myth #3: Weather content is a commodity; it’s hard to make it a revenue driver

Reality: Weather is one of the most habitually checked content categories. In fact, 98% of advertisers are interested in sponsoring weather content⁹ and recognize its power to deliver contextually relevant ads at scale.

Solution: We designed ReelSphere with advertising in mind. Customizable, sponsor-ready segments enable platforms to pair weather updates with relevant promotions, from travel offers to retail campaigns, unlocking new revenue streams.

Myth #4: You can’t get hyper-local content without a local team

Reality: Audiences want forecasts that matter to their exact location, not just the nearest city. Traditional models are limited in scope, leaving them less relevant.

Solution: ReelSphere scales hyper-local coverage without needing meteorologists on staff. For example, ReachTV uses ReelSphere to deliver location-specific forecasts across 2,400+ airport gates,¹⁰ keeping travelers informed with accurate updates for both departure and destination. Audiences are also demanding more hyper-localized streaming content.

Myth #5: FAST is a “set it and forget it” content model

Reality: FAST thrives on fresh, snackable content. Outdated material erodes loyalty, while timely, relevant updates keep audiences engaged. Given that the vast majority of online weather content is outdated, maintaining freshness is critical. Success in streaming depends on constant evolution, not a “set it and forget it” strategy.

Solution: ReelSphere enables an always-on strategy. With automated updates and scalable video production, platforms can keep content fresh around the clock to make sure they stay competitive in the crowded FAST ecosystem.

The forecast for FAST

The myths around FAST content keep platforms from tapping into their full potential. The reality is that weather is one of the most trusted, most consumed, and most monetizable verticals in streaming. With personalized weather content powered by The Weather Company, the world’s most accurate forecaster,¹¹ ReelSphere helps broadcasters and platforms fill content gaps, engage audiences, and unlock new revenue opportunities.

In an age where weather isn’t just small talk but instead, the headline, the impact of changing weather patterns on people and businesses is more significant than ever. From everyday weather conditions to extreme temperatures, the environment is now a critical factor driving strategic decision-making in everything from supply chain management to consumer engagement. As global temperatures continue to rise, businesses need to see the opportunity weather presents. At The Weather Company, we help businesses use weather intelligence to drive business resilience, growth, and competitive advantage.

Adapting at the speed of weather

We’ve all seen it. The world is witnessing unprecedented changes in weather patterns. This intensifying weather volatility is fueling more frequent extreme weather events and economic upheavals.

As a result, keeping tabs on the weather has made The Weather Channel digital properties a habitual touchpoint for over 360 million monthly average users¹ worldwide. This widespread reliance shows the powerful influence of weather on consumer behavior. In 2023 alone, Adobe projected that weather would influence over $13.5 billion (about $42 per person) in U.S. e-commerce sales³ — the equivalent of an extra Cyber Monday.

The message is clear — businesses need to evolve from reactive to proactive, weaving weather data deeply into their strategic fabric.