An established AI player is in nasty trouble – in this market? What? Why?

Australia's Appen boasted of clients including Amazon and Microsoft. Then work dried up, Gen AI arrived, and Google bailed

AI is so hot right now, and assumed to be the future of everything. But troubles at an Australian AI developer show the field is not all sunshine and roses.

The firm in question is called Appen, and specializes in sourcing and preparing data for AI models. The outfit created a million-strong crowdsourced team of contributors who used their local knowledge or special skills to help classify or annotate data. One big application for its services was helping clients to optimize digital ads, but it also helped prep data for speech recognition and computer vision models.

The startup listed on the Australian Securities Exchange (ASX) in 2015, and by mid-2022 had become one of the 300 most valuable properties on the bourse as its share price topped AUD$35 ($22.75). Its leaders proudly pointed to a client roster that included Google, Amazon, Microsoft, and Salesforce, told investors it was the biggest player in a fast-growing field, and pointed to internal innovations that delivered AI models that shrank the time and cost of labelling video and speech content by 65 percent and 80 percent respectively.

Yet Appen's shares are selling at AUD$0.265 ($0.18) today.

The trouble appears to have started with the post-COVID fall in digital ad spending. August 2022 brought some nasty news: a filing [PDF] revealed "weaker digital advertising demand and a resultant slowdown in spending by some of our large customers."

Investors were told "While some of our customers are slowing the pace of their investments, their AI product development is expected to increase. We remain confident that the AI training data market will continue to grow in the longer term."

A US-based CEO was appointed to get the firm's leadership closer to its clients, and Appen tried to win more work building AI datasets.

Demand for such data did grow – but Appen wasn't able to cash in. In August 2023 it reported a 24 percent revenue drop in its half-yearly results and was chasing a substantial cost reduction target.

By then generative AI had come to dominate discussions in the field, and Appen assured investors it would get into the game.

But in January 2024, some even nastier news: without prior notice, Google decided not to renew its contract with Appen. That contract was worth AU$82.8 million for FY 2023 – and full year revenue from would be down over $100 million year on year to $273 million, with a $20.4 million loss.

On Tuesday the beleaguered biz delivered more bad news: CEO Armughan Ahmed stepped down "to pursue new challenges." COO Ryan Kolin has stepped into the hotseat.

We'll know more about the state of the business when its full year results are revealed on February 27.

The Register expects Appen won't be the last AI company to hit trouble. There are surely dozens if not hundreds of startups that won't survive – because every boom is followed by a bust.

And AI is moving so fast it's almost impossible to know what will work, or when. ®

Send us news

Japan may join UK/US/Australia defense-oriented AI and quantum alliance

But not the nuclear subs bit

Google Cloud chief is really psyched about this AI thing

We're on a highway to ML

AI spam is winning the battle against search engine quality

'Not all AI content is spam, but I think right now all spam is AI content'

Intel CEO suggests AI can help to create a one-person Unicorn

And possibly replace entire business units too

Tech titans assemble to decide which jobs AI should cut first

But don't worry, if tech takes your job, we'll retrain you

Hailo's latest AI chip shows up integrated NPUs and sips power like fine wine

All your PC needs for 40 TOPS is an M.2 slot

Microsoft puts ex-DeepMind boffin in charge of London AI hub

Follows £2.5 billion pledge to 'upskill' British workers for the new world order

Microsoft rolls out safety tools for Azure AI. Hint: More models

Defenses against prompt injection, hallucination arrive as Feds eye ML risks

US House mulls forcing AI makers to reveal use of copyrighted training data

Proposed law doesn't include any ban on use of such stuff to build models, mind you

British watchdog has 'real concerns' about the staggering love-in between cloud giants and AI upstarts

Billions in investment? Yeeeah, right – looks more like ensuring only select few developers thrive

Tough luck, bosses, AI is coming for your job, too

Algorithms as PHBs – who wouldn't want that?

AI could crash democracy and cause wars, warns Japan's NTT

Calls for ecosystem in which AIs keep other AIs in check, and lots more regulation