Few pieces of business correspondence are likely to cause quite as much concern as a winding-up petition. If one lands on your desk, it is not something to file away and deal with when things are quieter. It is a serious legal step that could ultimately result in your company being closed.

That sounds alarming, but understanding what a winding-up petition actually means, and responding quickly, can put you in a much stronger position.

What Is a Winding-Up Petition?

A winding-up petition is a formal application made to the court asking for a company to be placed into compulsory liquidation. It is commonly presented by a creditor who believes a business cannot pay money that it owes.

If the court eventually makes a winding-up order, a liquidator will take control of the company. Its assets can then be sold to repay creditors, with the business generally ceasing to trade. What should be said is that receiving a petition does not mean your company has already been liquidated. There is still a legal process to follow, which is precisely why acting quickly matters.

Why Would a Creditor Take This Step?

Creditors will usually have tried other ways of recovering a debt before seeking to wind up a company. Emails, letters, payment requests and formal demands may have already been sent without producing a satisfactory result.

A winding-up petition is a particularly serious form of creditor action because its consequences extend far beyond the original unpaid bill. Once proceedings progress, they can affect the company’s bank accounts, reputation, relationships with suppliers and ability to continue operating normally. That makes ignoring the situation especially risky.

What Should You Do If You Receive One?

The first priority is to establish exactly what the petition relates to. Is the debt genuinely owed? Is the amount correct? Has the creditor overlooked a payment? Is there a genuine dispute surrounding the debt?

Gather invoices, contracts, emails, payment records and any previous correspondence relating to the creditor. Having the relevant paperwork ready will make it easier to understand your position and determine your next move. Once you’ve got all this, getting professional advice early will be invaluable. Specialists such as McAlister & Co can help business owners understand the implications of a winding-up petition and the options that may be available for responding.

Can a Winding-Up Petition Be Challenged?

Depending on the circumstances, there may be grounds to dispute or challenge a petition. For example, the company may believe the underlying debt is genuinely disputed or that the creditor has not followed the correct process.

In other situations, the focus may instead be on negotiating with the creditor, arranging repayment or exploring wider insolvency and restructuring options. There is no universal solution. The appropriate response depends heavily on the company’s financial position and the circumstances surrounding the debt.

Do Not Leave It Until the Last Minute

The biggest mistake a business owner can make is treating a winding-up petition like an ordinary overdue invoice. Once court proceedings are involved, deadlines and procedural requirements become extremely important. Delaying action can significantly reduce the options available to you.

A winding-up petition is undoubtedly serious, but receiving one is not the same as reaching the end of the road. Understanding what has happened, gathering the facts and seeking appropriate professional advice as early as possible can give your business the best chance of finding a workable way forward.

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US President Donald Trump said he will delay imposing new tariffs on a wide array of Canadian goods for three days as the countries firm up a trade deal.

“I have paused the 50% Tariffs against Canada, that were scheduled to kick in tomorrow morning for a three day period, based on the fact that Canada and the U.S.A., subject to the finalization of documents, have a DEAL!” Trump said in a social media post.

The announcement came less than two hours before a 50% levy on nearly $20bn (C$28bn) of Canadian imports were set to go in place.

The two sides have been at an impasse on several issues, including US tariffs on autos and many Canadian provinces banning American liquor sales.

Trump and Prime Minister Mark Carney spoke twice this week, and trade negotiators have been engaged in intense talks since July, after Trump threatened the new levy with a deadline of 19 August.

In his post, Trump also said a final trade deal could allow the revival of the Keystone XL pipeline. The oil pipeline, which would connect Alberta to the US, was blocked by both the Obama and Biden administrations.

Environmentalists and indigenous groups have long opposed the pipeline but Trump has said multiple times he would like to revive the project, which would carry 830,000 barrels of oil a day.

“The great Keystone XL Pipeline, long ago killed by Sleepy Joe Biden, may be awoken from the grave!” Trump wrote on Truth Social.

The extension is welcome news for Canadian negotiators and for businesses on both sides of the border, who have warned that the new tariffs would be harmful to both countries.

Tensions have mounted between the two major trading partners since Trump returned to office in January last year and he unleashed a wide-ranging global programme of tariffs, upending decades of free trade between Canada and the US.

The latest tariffs threatened by Trump were to be applied on a range of Canadian imports, including wine, dairy, cement, clothing and hockey equipment.

They would have been in addition to existing tariffs the US had already imposed on Canadian steel and aluminium, autos and lumber.

Canada has been in pursuit of a deal that would have the US drop or reduce tariffs on these key sectors.

The US, meanwhile, has been asking for a number of concessions from Canada, including removing its remaining retaliatory tariffs on American autos and adjusting its dairy quotas to allow greater access for US cheese producers.

It has also asked for the ban on US alcohol sales, imposed last year by most Canadian provinces in retaliation to Trump’s tariffs, be removed.

In the final hours before Wednesday’s deadline, negotiators were discussing a deal that would reduce US tariffs on Canadian autos from 25% to 15%, according to a Reuters report citing anonymous sources.

But the two countries could not agree on which vehicles would be eligible for tariff reductions, with the US pushing for it to only apply on cars with a high amount of American-made content.

Carney will also need buy-in from provincial premiers to reinstate the sale of US alcohol, as liquor sales are controlled by the provinces, not the federal government.

Ontario Premier Doug Ford, whose province is hardest hit by US tariffs on autos, said he was open to lifting the liquor ban only if a “fair deal” is reached.

On Tuesday, the US Chamber of Commerce pushed for a deal to be reached, saying in a statement that “higher tariffs would damage both economies, drive up costs for US families, further disrupt critical supply chains, and risk the 13 million American jobs that depend on trade under the US-Mexico-Canada Trade Agreement”.

President Donald Trump said late Tuesday that he is pausing 50% tariffs on Canadian goods scheduled to take effect Wednesday, saying the two countries have reached a deal pending final documentation.

“I have paused the 50% Tariffs against Canada, that were scheduled to kick in tomorrow morning for a three day period, based on the fact that Canada and the U.S.A., subject to the finalization of documents, have a DEAL!” Trump wrote on Truth Social.

“The great Keystone XL Pipeline, long ago killed by Sleepy Joe Biden, may be awoken from the grave!” Trump added.

Trump’s announcement came just hours before the tariffs were scheduled to take effect for a three-day period under the Tariff Act of 1930.

FORD’S US MANUFACTURING EXPANSION TO BRING ‘THOUSANDS AND THOUSANDS OF JOBS,’ LUTNICK SAYS

President Donald Trump takes questions from reporters in the Oval Office of the White House on Aug. 10, 2026. Trump criticized New York City’s pied-à-terre tax and said he is examining whether the federal government has legal authority to intervene. (Anna Moneymaker/Getty Images / Getty Images)

The duties would have covered roughly $20 billion in Canadian imports, including liquor, dairy products, vehicles, hockey equipment and other goods. Certain food products, wearables, synthetic materials and industrial goods were also expected to be affected.

Trump spoke with Canadian Prime Minister Mark Carney on Monday night and reportedly spoke with him again Tuesday afternoon, according to FOX Business correspondent Edward Lawrence.

CLICK HERE TO DOWNLOAD THE FOX NEWS APP

This is a developing story. Check back for updates.

FOX Business’ Bonny Chu contributed to this report.

AI video tools make content creation easier. Instead of building every clip from scratch, creators can start with a visual idea and turn it into a short for YouTube, TikTok, product pages, ads, and story posts.

The harder stage comes later. Growing channels and brand teams stop winning with one lucky render. They need repeatable weekly output: recognizable characters or products, longer beats that finish a thought, and a place where episode memory survives past Monday.

This guide looks at AI video tools through that lens — not as a random clip lottery, but as a publish system for creators, brands, and channels that ship on a calendar. Three surfaces deserve special attention when the job splits into series structure and longer multimodal generation: Drama Studio, Seedance 2.5, and Wan 3.0.

What growing channels should optimize for

1. Continuity across posts, not only one pretty frame
2. Enough length for hook → proof → payoff
3. Clear ownership: planning desk vs render engine
4. Reference discipline for cast, SKU, location, and audio
5. A project that still makes sense after episode three

If a tool only wins demos, it may still help ideation. It will not carry a channel alone.

Tool map for weekly channel work

Drama Studio — for channels that think in episodes

Growing story channels fail when every post reinvents the cast. Faceless drama, character series, and brand “story arcs” need reusable people, places, and beat sheets before anyone hits generate.

Drama Studio is built for that production layer: start from an idea, outline, script, or novel chapter; keep characters, locations, props, beats, and storyboards in a structured workbench; then move approved beats into episode video. The point is series memory — so episode two still feels like the same show.

Pros

• Strong fit for serialized vertical storytelling
• Editable story assets instead of chat-only decisions
• Boards and beats before credit burn
• Useful for creators and brands running weekly chapter calendars

Cons

• Overkill for a one-off three-second gag
• Still needs clear writing; tools do not invent a premise audiences care about
• Heavy scenes still need a capable generation model

Seedance 2.5 — for longer production beats that must hold

Short models stall when a brand spot or set-piece needs setup, development, and close in one pass. Channels that stitch five orphans usually pay for it in continuity repair.

Seedance 2.5 is a multimodal video model for coherent clips up to about thirty seconds from text plus image, video, and audio references, with timing and storyboard-friendly control. Use it when the board is approved and the beat needs length plus a fat reference kit — product ads, performance holds, fashion looks, or episode set-pieces.

Pros

• Longer single-pass room for campaign-ready arcs
• Dense multimodal reference control
• Fits timed briefs better than mood-only prompts
• Strong for creators and brands shipping offer videos weekly

Cons

• Vague briefs become expensive faster at thirty seconds
• Conflicting references still fight each other
• Not a substitute for episode planning on its own

Wan 3.0 — for omni-reference story sequences

Some channel briefs do not start as one hero still. They start as a pack: character art, a voice note, a product sheet, a public page, and a messy outline. Prompt-only tools drop that context on the floor.

Wan 3.0 is positioned for native storytelling toward thirty seconds with omni-reference control across text, images, video, audio, and extended document or webpage context, plus smart-duration habits and audiovisual impact. It fits narrative turns where identity, props, space, and sound must stay aligned across a connected sequence.

Pros

• Multimodal pack thinking, including structured source material
• Useful for story hinges and explainers that must keep facts straight
• Native audiovisual direction in the brief
• Good complement when Drama Studio already defined the episode job

Cons

• Role labeling is mandatory or sources collide
• Wrong choice for unlabeled vibe dumps
• Still needs human QC on dialogue-heavy multi-character scenes

Other tools still matter — in the right lane

Fast social clip generators help with hooks and trend tests. Keep them for disposable experiments.

Avatar presenters win when the script is the product: training, updates, multilingual talking heads.

Style-led creative tools help concept art and mood exploration before motion.

Template editors keep brand kits consistent for high-volume captioned posts.

None of those replace series memory or longer multimodal execution. Growing channels usually need more than one lane.

A simple weekly stack for creators and brands

1. Plan the episode or campaign chapter in Drama Studio when the content is serial.
2. Route long, reference-heavy production beats to Seedance 2.5.
3. Route omni-reference narrative turns to Wan 3.0.
4. Use short-clip tools only for inserts and tests.
5. Judge success by on-time publishing and continuity — not by how many orphans you generated before lunch.

Conclusion

There are many useful AI video tools on the market. Some are better for social speed, some for polished single scenes, and some for creative experimentation.

For creators, brands, and growing channels that have moved past one-off demos, the useful split is clearer: Drama Studio for episode structure, Seedance 2.5 for longer production beats, and Wan 3.0 for omni-reference story sequences. Pick by job, keep references labeled, and build a calendar that still recognizes itself next week.

FAQs

What is an AI video tool? Software that helps turn prompts, images, or structured briefs into video with less manual shooting and editing.

Which setup helps series channels most? A drama-style workbench for memory, plus a longer multimodal model for the heaviest scenes.

Which model fits product ads with many locks? Seedance 2.5 is the stronger fit when the beat needs length and a dense AV reference kit.

When should Wan 3.0 be first choice? When the brief is an omni-reference pack — including documents or pages — and the sequence must stay aligned.

Something is happening more and more often in companies across industries and sizes, something that would have been out of reach a short while back. A piece of a product goes live without a single line of code written by an engineer. A manager builds it and ships it.

That tells you more about where work is heading than the headlines about machines taking people’s jobs.

The worry about AI rests on an assumption that there is a fixed amount of work to go around, and that software will let fewer people do it. I see the opposite. The amount we can produce is growing, the range of things worth doing keeps widening, and we may need more people rather than fewer, working on different things than before.

More gets done by more people

Scans can be sorted and flagged before a doctor opens them, so a doctor can get through more of them. A course can be presented in any language, so more people can take it. Someone with an idea can build a working app without hiring a team.

None of this makes us happier on its own. It makes many things easier to reach. The number of worthwhile things worth attempting increases, and people who could never have attempted them before can now try.

Companies will need more senior engineers, not fewer

The senior engineers on my team have gotten busier over the past year. An AI tool can produce a working chunk of code in seconds, but it tends to make mistakes that only an experienced person can spot, so someone has to go through what it writes and fix it before it ships. That review and correction now takes up much of a senior engineer’s day, and it requires more skill than writing the code from scratch.

The hiring data points in the same direction:

• Employment for developers aged 22 to 25 fell to close to 20% below its 2022 peak by mid-2025, while developers aged 30 and over in the same AI-exposed roles saw their employment grow by 6 to 12%.
• Software engineering jobs are growing overall, with demand concentrating among experienced engineers who can shape what gets built.
• Entry-level hiring at the 15 biggest tech firms dropped 25% from 2023 to 2024, as routine work that once trained juniors was handed over to AI.

That last figure is the part I find genuinely hard. Writing simple code under supervision taught people the craft, and AI now does that work well. I can’t yet say what replaces that first step on the ladder, and I’d be wary of anyone who tells you they can.

It reaches past software

Work is changing shape as this goes well beyond tech companies.

I help run a music festival. It earns thin margins and runs on volunteers, the kind of work people take on because it gives other people a few days they remember for years.

Its name was invented by an AI. For the next one, I have one system that builds and tracks the budget, and another that handles booking and logistics, including flights, hotels, and transfers. The festival still happens in a field full of real people, doing something software cannot do for them. What changed is that running it now includes directing a set of tools that used to handle work I handled by hand. The job gained a layer.

The human stays, the surrounding work gets lighter

The same pattern holds across most of what I look at. The person at the center stays. The work around them gets cheaper and faster.

Spreadsheets did not remove accountants. They took over the arithmetic and the copying, and left the accountant with the judgment calls. Property management works the same way. The boiler still breaks, and someone still comes to fix it. The invoicing, scheduling, and back-and-forth to get an answer all get quicker and cheaper.

The work that needs a person stays where it is. What lands on top is the job of directing everything that now runs on its own, and spotting when it goes wrong.

A note from the front of it

Here is the honest position from someone watching this happen early. It is an odd place to be. You don’t yet know what will hold and what won’t, which makes the work interesting and sometimes uncomfortable.

For most people already established in a job, the work is not being taken away. It is picking up territory that no one has written a manual for, and the people doing it are working that out as they go. The sensible move is to get ready for the larger version of your role rather than brace for its disappearance.

Anton Denisov

Anton Denisov builds AI systems that drive commercial growth at consumer tech companies. Formerly at McKinsey and Bain, he led 1.5× EBITDA growth at Burger King and now develops and deploys production agentic AI at proptech scale-up Dwelly.

The trial started off on Tuesday with a battle of words and facts.

Paul Schmidt, a lead attorney for Meta in the trial, directly addressed an internal research report that Megan O’Neill, a lead attorney for California, made part of the states’ opening arguments.

The Meta document O’Neill showed the jury found that “1 in 5 teens says Instagram makes them feel worse”.

Schmidt said: “That sounds pretty bad.”

“What else does the document say?” Schmidt went on. “That 41% of teens said it made them feel better and another 41% said it had no effect.”

Schmidt also worked to poke holes in the states’ argument that Meta had not only failed to stop users under the age of 13 from using its platforms, but that it intentionally “hooked” teens and children as users of Facebook and Instagram, or that they were designed to be addictive.

As for Meta being able to verify the age of every user on its platform, Schmidt argued that the very privacy laws Meta was being accused of violating in the case prevent it from saving and using the data it would need to effectively track underage users.

When it comes to addiction, Schmidt argued a point that Meta has put forward in at other litigation this year: that social media addiction does not exist.

“There can be no dispute that Meta has recognised people struggle, or can struggle, with their use of social media, and has come up with tools to try and address that,” Schmidt said.

Yet, he pointed to past statements from chief executive Mark Zuckerberg and head of Instagram Adam Mosseri that not only were Facebook and Instagram not designed to be addictive, scientific research has not yet come to support the idea that an addiction to social media is possible.

O’Neill’s opening arguments seemed to challenge Schmidt’s argument.

She relied heavily on information found in millions of documents provided in the case from Meta, including internal research, employee emails, and chat logs, all the way up Zuckerberg.

One such piece of internal research stated about young people and Instagram: “Teens have an addict’s narrative about use.”

In another that O’Neill pointed the jury to, Meta found “product features designed to increase time spent are inherently at odds with well-being and take away from people’s ability to focus on activity that adds value to their lives”.

Despite Meta’s awareness of potentially negative impacts, O’Neill argued that Meta targeted young people as users of Facebook and Instagram and went out of its way to “assure the public that its platforms were safe for kids”.

Meta’s business model could be summed up this way: “Hook the users; hold them for as long as they can; harvest their data; hide the truth from the public when making public statements,” she said.

She said that throughout the trial, it would become clear that what Meta said publicly about its platforms, and what its internal research showed, were very different.

“Meta said it put safety over profits, but hid the reality that, time and again, when it came to make a decision, profits won.”