‘We will see spectacular failures’: CEOs and investors on what the end of cheap money means for tech
Guillaume Pousaz, CEO and founder of payment platform Checkout.com, speaking onstage at the 2022 Web Summit tech conference.
Horacio Villalobos | Getty Images
LISBON, Portugal — Once high-flying tech unicorns are now having their wings clipped as the era of easy money comes to an end.
That was the message from the Web Summit tech conference in Lisbon, Portugal, earlier this month. Startup founders and investors took to the stage to warn fellow entrepreneurs that it was time to rein in costs and focus on fundamentals.
“What’s for sure is that the landscape of fundraising has changed,” Guillaume Pousaz, CEO of London-based payments software company Checkout.com, said in a panel moderated by CNBC.
Last year, a small team could share a PDF deck with investors and receive $6 million in seed funding “instantly, ” according to Pousaz — a clear sign of excess in venture dealmaking.
Checkout.com itself saw its valuation zoom nearly threefold to $40 billion in January after a new equity round. The firm generated revenue of $252.7 million and a pre-tax loss of $38.3 million in 2020, according to a company filing.
Asked what his company’s valuation would be today, Pousaz said: “Valuation is something for investors who care about entry point and exit point.”
“The multiples last year are not the same multiples than this year,” he added. “We can look at the public markets, the valuations are mostly half what they were last year.”
“But I would almost tell you that I don’t care at all because I care about where my revenue is going and that’s what matters,” he added.
Rising cost of capital
Private tech company valuations are under immense pressure amid rising interest rates, high inflation and the prospect of a global economic downturn. The Fed and other central banks are raising rates and reversing pandemic-era monetary easing to stave off soaring inflation.
That’s led to a sharp pullback in high-growth tech stocks which has, in turn, impacted privately-held startups, which are raising money at reduced valuations in so-called “down rounds.” The likes of Stripe and Klarna have seen their valuations drop 28% and 85%, respectively, this year.
“What we’ve seen in the last few years was a cost of money that was 0,” Pousaz said. “That’s through history very rare. Now we have a cost of money that is high and going to keep going higher.”
Higher rates spell challenges for much of the market, but they represent a notable setback for tech firms that are losing money. Investors value companies based on the present value of future cash flow, and higher rates reduce the amount of that expected cash flow.
Pousaz said investors are yet to find a “floor” for determining how much the cost of capital will rise.
“I don’t think anyone knows where the floor is on the upper hand,” he said. “We need to reach the floor on the upper hand to then decide and start predicting what is the lower end, which is the long term residual cost of capital.”
“Most investors do valuations still to this day on DCF, discounted cash flow, and to do that you need to know what is the residual floor on the downside. Is it 2%, is it 4%? I wish I knew. I don’t.”
‘An entire industry got ahead of its skis’
A common topic of conversation at Web Summit was the relentless wave of layoffs hitting major tech companies. Payments firm Stripe laid off 14% of its employees, or about 1,100 people. A week later, Facebook owner Meta slashed 11,000 jobs. And Amazon is reportedly set to let go 10,000 workers this week.
“I think every investor is trying to push this to their portfolio companies,” Tamas Kadar, CEO of fraud prevention startup Seon, told CNBC. “What they usually say is, if a company is not really growing, it’s stagnating, then try to optimize profitability, increase gross margin ratios and just try to just lengthen the runway.”
Venture deal activity has been declining, according to Kadar. VCs have “hired so many people,” he said, but many of them are “out there just talking and not really investing as much as they did before.”
Not all companies will make it through the looming economic crisis — some will fail, according to Par-Jorgen Parson, partner at VC firm Northzone. “We will see spectacular failures” of some highly valued unicorn companies in the months ahead, he told CNBC.
The years 2020 and 2021 saw eye-watering sums slosh around equities as investors took advantage of ample liquidity in the market. Tech was a key beneficiary thanks to societal shifts brought about by Covid-19, like working from home and increased digital adoption.
As a result, apps promising grocery delivery in under 30 minutes and fintech services letting consumers buy items with no upfront costs and virtually anything to do with crypto attracted hundreds of millions of dollars at multibillion-dollar valuations.
In a time when monetary stimulus is unwinding, those business models have been tested.
“An entire industry got ahead of its skis,” Parson said in an interview. “It was very much driven by hedge fund behaviour, where funds saw a sector that is growing, got exposure to that sector, and then bet on a number of companies with the expectation they will be the market leaders.”
“They pushed up the valuation like crazy. And the reason why it was possible to do that was because there were no other places to go with the money at the time.”
Maëlle Gavet, CEO of startup accelerator program Techstars, agreed and said some later-stage companies were “not built to be sustainable at their current size.”
“A down round may not be always possible and, frankly, for some of them even a down round may not be a viable option for external investors,” she told CNBC.
“I do expect a certain number of late stage companies basically disappearing.”
Beta Technologies shares surged more than 9% after air taxi maker Eve Air Mobility announced an up to $1 billion deal to buy motors from the Vermont-based company.
Eve, which was started by Brazilian airplane maker Embraer and is now under Eve Holding, said the manufacturing deal could equal as much as $1 billion over 10 years. The Florida-based company said it has a backlog of 2,800 vehicles.
Shares of Eve Holding gained 14%.
Eve CEO Johann Bordais called the deal a “pivotal milestone” in the advancement of the company’s electric vertical takeoff and landing, or eVTOL, technology.
“Their electric motor technology will play a critical role in powering our aircraft during cruise, supporting the maturity of our propulsion architecture as we progress toward entry into service,” he said in a release.
Mateusz Slodkowski | SOPA Images | Lightrocket | Getty Images
Amazon’s cloud unit on Tuesday announced AI-enabled software designed to help clients better understand and recover from outages.
DevOps Agent, as the artificial intelligence tool from Amazon Web Services is called, predicts the cause of technical hiccups using input from third-party tools such as Datadog and Dynatrace. AWS said customers can sign up to use the tool Tuesday in a preview, before Amazon starts charging for the service.
The AI outage tool from AWS is intended to help companies more quickly figure out what caused an outage and implement fixes, Swami Sivasubramanian, vice president of agentic AI at AWS, told CNBC. It’s what site reliability engineers, or SREs, do at many companies that provide online services.
SREs try to prevent downtime and jump into action during live incidents. Startups such as Resolve and Traversal have started marketing AI assistants for these experts. Microsoft’s Azure cloud group introduced an SRE Agent in May.
Rather than waiting for on-call staff members to figure out what happened, the AWS DevOps Agent automatically assigns work to agents that look into different hypotheses, Sivasubramanian said.
“By the time the on-call ops team member dials in, they have an incident report with preliminary investigation of what could be the likely outcome, and then suggest what could be the remediation as well,” Sivasubramanian told CNBC ahead of AWS’ Reinvent conference in Las Vegas this week.
Commonwealth Bank of Australia has tested the AWS DevOps Agent. In under 15 minutes, the software found the root cause of an issue that would have taken a veteran engineer hours, AWS said in a statement.
The tool relies on Amazon’s in-house AI models and those from other providers, a spokesperson said.
AWS has been selling software in addition to raw infrastructure for many years. Amazon was early to start renting out server space and storage to developers since the mid-2000s, and technology companies such as Google, Microsoft and Oracle have followed.
Since the launch of ChatGPT in 2022, these cloud infrastructure providers have been trying to demonstrate how generative AI models, which are often training in large cloud computing data centers, can speed up work for software developers.
Over the summer, Amazon announced Kiro, a so-called vibe coding tool that produces and modifies source code based on user text prompts. In November, Google debuted similar software for individual software developers called Antigravity, and Microsoft sells subscriptions to GitHub Copilot.
WATCH: Amazon rolls out AI-powered tools to help big AWS customers update old software
Technology
Amazon to let cloud clients customize AI models midway through training for $100,000 a year
Attendees pass an Amazon Web Services logo during AWS re:Invent 2024, a conference hosted by Amazon Web Services, at The Venetian hotel in Las Vegas on Dec. 3, 2024.
Noah Berger | Getty Images
Amazon has found a way to let cloud clients extensively customize generative AI models. The catch is that the system costs $100,000 per year.
The Nova Forge offering from Amazon Web Services gives organizations access to Amazon’s AI models in various stages of training so they can incorporate their own data earlier in the process.
Already, companies can fine-tune large language models after they’ve been trained. The results with Nova Forge will lean more heavily on the data that customers supply. Nova Forge customers will also have the option to refine open-weight models, but training data and computing infrastructure are not included.
Organizations that assemble their own models might end up spending hundreds of millions or billions of dollars, which means using Nova Forge is more affordable, Amazon said.
AWS released its own models under the Nova brand in 2024, but they aren’t the first choice for most software developers. A July survey from Menlo Ventures said that by the middle of this year, Amazon-backed Anthropic controlled 32% of the market for enterprise LLMs, followed by OpenAI with 25%, Google with 20% and Meta with 9% — Amazon Nova had a less than 5% share, a Menlo spokesperson said.
The Nova models are available through AWS’ Bedrock service for running models on Amazon cloud infrastructure, as are Anthropic’s Claude 4.5 models.
“We are a frontier lab that has focused on customers,” Rohit Prasad, Amazon head scientist for artificial general intelligence, told CNBC in an interview. “Our customers wanted it. We have invented on their behalf to make this happen.”
Nova Forge is also in use by internal Amazon customers, including teams that work on the company’s stores and the Alexa AI assistant, Prasad said.
Reddit needed an AI model for moderating content that would be sophisticated about the many subjects people discuss on the social network. Engineers found that a Nova model enhanced with Reddit data through Forge performed better than commercially available large-scale models, Prasad said. Booking.com, Nimbus Therapeutics, the Nomura Research Institute and Sony are also building models with Forge, Amazon said.
Organizations can request that Amazon engineers help them build their Forge models, but that assistance is not included in the new service’s $100,000 annual fee.
AWS is also introducing new models for developers at its Reinvent conference in Las Vegas this week.
Nova 2 Pro is a reasoning model whose tests show it performs at least as well as Anthropic’s Claude Sonnet 4.5, OpenAI’s GPT-5 and GPT-5.1, and Google’s Gemini 3.0 Pro Preview, Amazon said. Reasoning involves running a series of computations that might take extra time in response to requests to produce better answers. Nova 2 Pro will be available in early access to AWS customers with Forge subscriptions, Prasad said. That means Forge customers and Amazon engineers will be able to try Nova 2 Pro at the same time.
Nova 2 Omni is another reasoning model that can process incoming images, speech, text and videos, and it generates images and text. It’s the first reasoning model with that range of capability, Amazon said. Amazon hopes that, by delivering a multifaceted model, it can lower the cost and complexity of incorporating AI models into applications.
Tens of thousands of organizations are using Nova models each week, Prasad said. AWS has said it has millions of customers. Nova is the second-most popular family of models in Bedrock, Prasad said. The top group of models are from Anthropic.
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