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BenchSci cuts 23% of jobs, becoming latest company to replace humans with AI

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BenchSci Analytics Inc. became one of Canada’s most promising and heavily funded startups by using artificial intelligence to help pharmaceutical giants cut time and costs from the drug discovery process.

Now the Toronto company is turning to AI to slash its own costs. Since May, BenchSci has cut 23 per cent of staff – about 83 jobs – as it goes all-in on adopting generative AI to do work formerly done by humans, the company said in an e-mail.

CEO Liran Belenzon signalled BenchSci’s commitment to generative AI in a July blog post. “As I often remind my team, those who fail to embrace AI risk being left behind – not by the technology itself but by peers who have mastered it,” he wrote. The company this year “shifted to become an AI-first company, which has become our guiding principle. Before adding new people or processes, we ask: ‘Could AI do this?’”

In the past two weeks alone, BenchSci cut its software engineering ranks to about 100 people, a 20-per-cent reduction, Mr. Belenzon said in an interview. It has rolled out company-wide tools including Gemini for Google Workspace and NotebookLM, and is using AI to automate repetitive workflows in its hiring practices and otherwise using AI to streamline operations and boost efficiencies.

“Ultimately, the goal is pretty straightforward: become more efficient and give our team the tools they need to be successful,” the memo states.

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BenchSci previously cut its work force by 17 per cent in early 2024 in response to economic conditions and concerns over how the availability of generative AI tools like ChatGPT would affect its business.

As The Globe and Mail reported recently, several companies are pushing faster to adopt generative AI tools internally to increase productivity and save costs.

Tech CEOs in particular are worried about the competitive threat posed by new startups that can grow faster with fewer employees and less funding than in the past, thanks to generative AI tools. These applications can write computer code, make software prototypes, draft documents and reports, and review legal contracts, among other chores.

Advancements in AI agents, which can complete a series of tasks in one shot, are also opening up new opportunities to automate workflows.

Canadian tech companies such as League Inc. and Geotab Inc. are now requiring that employees use AI tools and are incorporating their usage into employee performance reviews. Other companies are trying to avoid bringing in new employees by getting more work done with AI instead. Vancouver business intelligence software provider Klue Labs Inc. let 40 per cent of its employees go in June in order to stay competitive in the AI era.

Is AI helping workers and improving productivity or just creating more work?

Mr. Belenzon told The Globe and Mail his generative AI push was inspired by Shopify CEO Tobi Lütke, who told his employees in a memo in April that using AI effectively “is now a fundamental expectation of everyone at Shopify.” Mr. Lütke further instructed that teams should only ask for more staff or resources after demonstrating they couldn’t get what they wanted done by using AI.

Mr. Belenzon said the staff cut is not related to any business challenges, noting that BenchSci recently hired serial U.S. technology entrepreneur John Jackson as chief technology officer and Peter Grandsard, former Amgen associate vice president of research, as senior vice-president of strategy. The company also added Pfizer’s former chief scientific officer Mikael Dolsten to its board two weeks ago. BenchSci is “growing and the business is strong and doing well” and set to announce significant developments in the coming months, the CEO said.

BenchSci, founded in 2015 by Mr. Belenzon and three others who met through the Creative Destruction Lab at the University of Toronto, has raised more than $215-million to date, backed by American investors including former U.S. vice-president Al Gore’s Generation Investment Management, private and public markets investment giant TCV, Google-backed Gradient Ventures and F-Prime Capital Partners, which is affiliated with fund giant Fidelity’s founding Johnson family. Canadian investors include Radical Ventures, Inovia Capital, Golden Ventures and Real Ventures.

BenchSci acts as an AI co-pilot for medical researchers, using AI to rapidly peruse millions of scientific publications to quickly determine which antibodies and reagents would be best to use in early experiments. More than half of the world’s largest pharmaceutical companies are BenchSci clients.



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AI company Anthropic to pay authors $1.5 billion in landmark settlement

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Big numbers often get thrown around in the aftermath of legal battles, as judges hand down judgements—or attorneys arrange settlement amounts—in the tens, or hundreds, of millions of dollars. Still, even jaded legal observers can occasionally run into a genuinely daunting number while parsing this stuff. Like, say, the $1.5 billion settlement that AI company Anthropic has agreed to pay in the ongoing class-action suit against it, launched by authors who said the company infringed on their copyrighted works by feeding them as training data to its “AI assistant” Claude. Sure, parts of that sum (calculated at $3,000 per work for a staggering number of works, and with its first $300 million installment due just five days after the settlement is approved) might potentially vanish in a puff of future bankruptcy. But it’s still the “largest publicly reported copyright recovery in history,” according to legal documents from the authors’ attorneys.

That being said, the win here on the wider AI front is quite a bit less clear than “hand our clients the annual estimated GDP of Grenada” might suggest. Yes, U.S. District Judge William Alsup set the stage for Anthropic to eat that massive price tag by ruling that the company clearly violated copyright agreements via how it acquired the books it fed into its own personal woodchipper. (I.e., downloading pirated datasets of millions of books that had been floating around the internet.) And, yes, the settlement will require Anthropic to destroy those “shadow library” datasets in its possession. (But notably, with no actual changes to the Claude large language model itself.) Most critically, though, back in June, Alsup also ruled that “reproducing purchased-and-scanned books to train AI” falls under fair use, calling the case “exceedingly transformative” as a justification for the designation.

As such, both sides in the fight issued statements claiming a form of victory today, with the authors’ side focusing mostly on the massive size of the settlement amount. Anthropic, meanwhile—which has been backed in the past with more than $6 billion in contributions from Amazon and Google—focused its statements on the legal precedent it achieved in the case: “In June, the District Court issued a landmark ruling on AI development and copyright law, finding that Anthropic’s approach to training AI models constitutes fair use. Today’s settlement, if approved, will resolve the plaintiffs’ remaining legacy claims.” What this likely means is that AI companies aren’t going to slow down—especially with, say, a $1.5 billion mortgage suddenly hanging over their heads—but simply become a lot more choosy about how they get their training data.

[via Deadline]




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Broadcom Inc. Reports Record Revenue Amid AI Growth

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Broadcom Inc. ((AVGO)) has held its Q3 earnings call. Read on for the main highlights of the call.

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The recent earnings call from Broadcom Inc. showcased a strong performance in AI semiconductors and infrastructure software, with record revenues and a solid backlog. Despite some challenges in the non-AI semiconductor segment and pressures on gross margins due to product mix, the overall sentiment was optimistic. The positive highlights significantly outweighed the lowlights, indicating a promising outlook for future growth, particularly in AI.

Record-Breaking Revenue and Growth

Broadcom Inc. reported a record total revenue of $16 billion, marking a 22% increase year-on-year. This impressive growth was primarily driven by the strong performance in AI semiconductors and the expansion of VMware. The company’s ability to achieve such significant revenue growth underscores its strategic focus on high-growth areas.

AI Semiconductor Growth

The AI semiconductor segment was a standout performer, generating $5.2 billion in revenue, which represents a 63% increase year-on-year. This marks the 10th consecutive quarter of robust growth in this segment. Looking ahead, Broadcom forecasts AI semiconductor revenue to reach approximately $6.2 billion in Q4, up 66% year-on-year, highlighting the company’s leadership in this rapidly expanding market.

Infrastructure Software Segment Performance

Broadcom’s infrastructure software segment also delivered strong results, with revenue reaching $6.8 billion, up 17% year-on-year. The total contract value booked during Q3 was $8.4 billion, reflecting the company’s strength in securing long-term commitments from customers.

Strong Backlog and Bookings

The company’s consolidated backlog reached a record $110 billion, with bookings showing robust growth, particularly in AI. This substantial backlog provides a solid foundation for future revenue and demonstrates strong customer demand across Broadcom’s product lines.

CEO Tenure Extension

In a significant leadership development, Broadcom’s board and CEO Hock Tan have agreed that he will continue as the CEO through at least 2030. This extension provides stability and continuity in leadership, which is crucial for executing the company’s long-term strategic vision.

Non-AI Semiconductor Demand

While the AI segment thrived, the non-AI semiconductor demand remained sluggish, with Q3 revenue of $4 billion flat sequentially. Enterprise networking and service storage experienced sequential declines, with only broadband showing strong growth. This highlights the challenges Broadcom faces in certain segments of its semiconductor business.

Gross Margin Impact

Broadcom anticipates a slight decline in its Q4 consolidated gross margin, down approximately 70 basis points sequentially. This is primarily due to a higher mix of XPUs and wireless revenue, which impacts the overall product mix and margin structure.

Forward-Looking Guidance

During the earnings call, Broadcom provided robust guidance for the upcoming quarter and fiscal year. The company forecasts Q4 2025 consolidated revenue of $17.4 billion, up 24% year-on-year, with AI semiconductor revenue expected to reach $6.2 billion, up 66% year-on-year. Infrastructure software revenue is projected at $6.7 billion, up 15% year-on-year. Broadcom anticipates an adjusted EBITDA margin of 67% for Q4, with continued growth in the AI business and the addition of a significant fourth customer expected to positively impact fiscal 2026.

In summary, Broadcom Inc.’s latest earnings call highlighted a strong performance in AI semiconductors and infrastructure software, with record revenues and a promising outlook for future growth. Despite some challenges in non-AI segments and margin pressures, the overall sentiment was optimistic, driven by significant achievements and robust forward-looking guidance.

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Runway founder Cristóbal Valenzuela wants Hollywood to embrace AI

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At 84, veteran mogul John Malone is still a power broker, hinting at “further consolidation in the media industry” following a recent sit down with David Ellison. Should we be on the lookout for a Warner–Paramount merger? Meanwhile in Vegas, the Sphere’s $100 million Wizard of Oz reimagining leans on AI to expand the visuals and even slip in cameos of David Zaslav and James Dolan. The Directors Guild did not take kindly to the stunt. Partners in Banter Kim Masters and Matt Belloni pull back the curtain on the Sphere’s Emerald City sideshow.

Plus, Masters speaks with Runway co-founder Cristóbal Valenzuela about the role of artificial intelligence in Hollywood. The Chilean-born developer acknowledges that AI may lead to some job losses, but he argues it will ultimately benefit filmmakers. He explains why studios including Lionsgate, Netflix, and Disney are already using Runway’s tools. Plus, he compares the current backlash against AI to the upheaval that followed the introduction of sound in film.





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