Teachers at Euan Blair’s £1.6bn tech training company, Multiverse, have blown the whistle about “horrendous stress” and feeling constantly watched after bosses started using AI models to surveil and rate their teaching.
asserted
bosses → blow → teaching
Staff delivering apprenticeship training in computer and AI skills to thousands of UK public and private sector workers now have transcripts of online classroom sessions analysed and scored by an AI programmed to alert human managers when they are suspected of doing things wrong.
asserted
they → deliver → things
The AI is trained to flag problems in their performance ranging from not fixing a disruption to the online connection quickly enough – within about a minute – to using too many “filler” phrases, such as “sort of” and “kind of”.
asserted
AI → train → phrases
Teachers called the newly introduced system “remorseless” and “unnerving”, and said some staff were on edge, losing sleep, and seeking therapy.
asserted
staff → call → therapy
Multiverse was co-founded by the eldest son of the former prime minister Tony Blair and employs more than 800 people.
asserted
Multiverse → co → people
It supplies AI and digital skills training to workers in the NHS, local councils, universities and the private sector, mostly funded through the government’s apprenticeship levy.
asserted
It → supply → levy
Alongside his father, Blair is one of the biggest cheerleaders for wider AI adoption in the UK economy, claiming last week that “every single worker is going to need to be retrained” and that employers want their workforces “as AI-pilled as possible”.
asserted
workforces → claim → economy
Multiverse uses a mix of AI models including Anthropic and OpenAI products.
asserted
Multiverse → use → products
Its new AI teacher monitoring system tags each instructor by their “risk status”, calculates a “percentage confidence score” and produces written comments about teachers’ work for managers to see at a glance.
asserted
managers → monitor → glance
It is only the latest example of employers using AI to track worker behaviour.
asserted
employers → use → behaviour
Earlier this year Burger King started using AI to track restaurant workers’ customer interactions and this summer Meta paused tracking of employees’ computer keystrokes amid data privacy concerns and a staff backlash.
asserted
Meta → start → concerns
With critics warning AI monitoring risks eroding human agency, one study has suggested it can backfire by turning workers rebellious and new research to be published this week reports that workers in the wider UK tech industry are finding AI degrades work satisfaction.
uncertain
AI → warn → satisfaction
The United Tech and Allied Workers branch of the Communication Workers Union concluded AI causes “cognitive surrender” as workers lose skills and confidence and often intensifies rather than eases work.
asserted
workers → conclude → work
“Since all of this has come in, the stress level has been absolutely horrendous,” said one of several Multiverse teachers who spoke on condition of anonymity.
asserted
who → come → anonymity
“It has affected sleep, and not just for me.
asserted
It → affect → me
I’ve gone through a lot of things in my life, and I haven’t ever been in a position where I’m waking up in the middle of the night.
asserted
I → go → night
Previously instructors were observed monthly by a human manager but are now watched for several hours per day by an AI.
asserted
instructors → observe → AI
It is trained to consider marking instructors down if they give vague or uncertain answers to questions, if learners go quiet when asked to contribute and if the teacher gets pulled into a prolonged one-to-one exchange that sidelines the group.
asserted
that → train → group
“This is inducing stress because you consistently have to be cautious,” one teacher said.
asserted
teacher → induce → stress
“Your attention is no longer delivering [the lesson] and listening to the learner [but] am I saying the right thing so the AI doesn’t mark me down for something stupid that I’ve mistakenly said.”
asserted
I → deliver → that
Another teacher called it “very uncomfortable”.
asserted
teacher → call → it
Multiverse says the AI does not replace human judgment but “directs human time to where it’s needed most” by highlighting problem.
asserted
it → say → problem
A spokesperson said it was “using AI to improve the experience of learners and customers”, and that only human managers wrote teachers’ performance reviews.
asserted
managers → say → reviews
They did not directly address complaints the system caused stress and anxiety and felt “remorseless”, but said its introduction was communicated in advance and teachers will have access to the data the AI collects.
asserted
AI → address → data
“This agent provides instructors with improved advice on development and feedback – exactly how any learning organisation should be deploying AI,” the spokesperson said.
asserted
spokesperson → provide → AI
“The most consequential performance management action it can take is to recommend that a human personally reviews a session.”
asserted
human → take → session
Blair owns a large minority stake in Multiverse, putting his personal net worth at an estimated £350m.
asserted
Blair → own → 350
The company was recently valued at £1.6bn albeit on a turnover of £118m and losses of £28m last year.
asserted
company → value → m
In February, Ofsted, the UK education inspectorate, found Multiverse failed to meet expected standards in several areas, but praised the instructors as “skilled, effective teachers”.
asserted
Multiverse → find → teachers
Its new AI monitoring agent, introduced in recent weeks, is trained to spot signs an instructor has not fully internalised the teaching material.
asserted
instructor → monitor → material
The AI is instructed to count verbal tics that point to that conclusion and to “judge the PATTERN across the whole transcript, not isolated instances”.
asserted
that → instruct → instances
It says: “1-2 hedges or filler words in an otherwise direct, well-internalised explanation do NOT fail this standard …
asserted
hedges → say → standard
What fails the standard is a PERVASIVE REPEATED pattern of filler, hedging or re-explanation.”
asserted
fails → fail → filler
When a trainer is setting a task “if the instructor is visibly confused themselves or had to self-correct while giving the instruction, that confusion itself counts as evidence the instruction was not clear the first time”.
asserted
instruction → set → evidence
The AI is told to apply a negative mark “even if it was eventually straightened out”.
asserted
it → tell → mark
The workers said the AI monitoring has led to managers pulling them up for suspected “digressions” when in fact they were answering a student’s question.
asserted
they → say → question
“It’s impossible for me not to be affected by this mentally,” one teacher said.
asserted
teacher → ’ → this
“I feel like I’m under continuous scrutiny,” another said.
asserted
another → feel → scrutiny
“It’s all about what I didn’t do in this session rather than what I did do.
asserted
I → ’ → what
Did I do something incorrectly yesterday?
asserted
I → do → something
…and 28 more, not listed.