The (Overdue) Collapse of Corporate Consulting
By The Invisible Game
Summary
## Key takeaways - **NYC paid $4M for basic trash bin advice**: New York City hired McKinsey for $4 million to advise on placing rubbish in bins, a report that cost $42,000 per slide and suggested 'containerization' as a novel solution. [00:09] - **Consulting's decline: AI and reinventing the wheel**: Firms like McKinsey, PWC, and Deloitte are cutting staff, partly due to AI, but the industry's constant need to reinvent itself has also led to risks and is now showing consequences. [00:46], [01:03] - **1990s boom: Mergers created consulting's necessity**: In the 1990s, deregulation spurred massive mergers, creating complex, bloated companies that genuinely needed consultants to streamline operations and cut redundancies. [01:40], [02:13] - **Government contracts: A safe haven with no accountability**: After the merger boom ended, consultants pivoted to governments, where diffuse accountability allowed them to deliver billion-dollar projects with no clear culprits for failure, fostering a risk-free business model. [03:14], [04:25] - **Corporate speak: Million-dollar advice, zero meaning**: Consulting firms produced jargon-filled reports with phrases like 'develop value creating partnerships,' which, despite costing millions, lacked substance but were presented with fancy graphs to appear valuable. [05:11], [05:25] - **AI obsoletes core consulting tasks, talent flees**: AI can now perform tasks like market analysis in minutes that previously took consultants weeks and millions of dollars, leading to layoffs and causing top talent to seek opportunities in tech and finance instead. [06:46], [09:03]
Topics Covered
- Consulting's $4 Million Rubbish Bin Lesson
- The Merger Gold Rush Fueled Consulting's Rise
- Government Contracts: The Accountability Vacuum
- AI Exposes Consulting's Thin Value Proposition
- The Illusion of Value Crumbles with Visible Outcomes
Full Transcript
In 2024, New York City, hired one of the
world's largest consulting firms to give
them advice on one of the city's most
pressing issues, how to put rubbish in a
bin. McKenzie, the firm in question,
came back with a shining 80page deck,
all centered around the novel idea
called containerization, and its
benefits, which included, but were not
limited to, getting rid of rats, cleaner
streets, and less clutter for
pedestrians. While getting a 20-some
year old grad to make rubbish bins seem
innovative might sound like a joke, the
report cost the government a hefty $4
million, equivalent to $42,000 per
slide. This is of course a somewhat
extreme example, but these firms have
been getting away with dressing up
obvious advice as strategic realignment
and stakeholder management for decades.
That is until the last couple of years.
>> At this point, McKenzie is a total
racket. It's just all fake. Names like
McKenzie, PWC, and Deote are all cutting
their consulting workforce. So, what
happened to the industry? After all,
just a few years ago, most graduates
would give anything for an internship at
one of these firms. You might think the
industry is just another victim of the
AI revolution. While that's in part
true, there's actually a lot more going
on here. Because for the past few
decades, the industry has constantly had
to reinvent itself. But doing that comes
with risks, and phones are only just now
starting to pay the price. Deote used
artificial intelligence to prepare a
report. The
>> University of Sydney welfare academic
Chris Rajshu discovered the errors in
the report.
>> Management consulting firm McKenzie that
has laid off 2,000 employees.
>> As laughable as the consulting industry
might seem today, there was once a time
when it was considered one of the most
useful industries in America. Back in
the 1990s, businesses genuinely needed
consultants for the simple reason that
most businesses were really badly run.
At the time, the US was embracing
deregulation with almost religious
intensity, tearing down rules that kept
industries in check for decades. The
results were dramatic. Entire sectors
suddenly opened up with companies free
to expand in ways that had previously
been off limits. In less than a decade,
the annual value of mergers and
acquisitions ballooned from about 200
billion to more than $1.7 trillion, more
than the entire GDP of Canada. In many
ways, these mergers made companies
stronger, but they also made a mess so
big it gave rise to an entire industry.
Suddenly, companies were stuck with two
finance departments, two HR teams, two
marketing divisions, and nobody quite
sure which ones were actually necessary.
If you kept them all, the companies
became bloated and inefficient. But if
you cut the wrong one, the whole machine
would stop working. And that's where
consultants came in. Their skill set was
basically going into these companies
after a merger, working out what bits
needed to stay and what parts could be
cut without any real consequence. Thanks
this wave of post merger cleanups,
consultancies became hugely profitable
businesses. And by the late 1990s, firms
like McKenzie and BCG had become
permanent fixtures of corporate America.
But unfortunately for consultants, they
were also digging their own grave.
Scandals like Enron, which worked out
$60 billion in shareholder value, ended
up forcing the government to reintroduce
the very same rules they had been
cutting just a couple of decades
earlier. This quickly put a stop to the
mad rush of deals that had been
happening across the country. And in
just a couple of years, the industry
lost nearly 2/3 of its value. When the
merger gold rush ended, you might expect
that consultants would just fade into
irrelevance. But instead, they pulled
off one of the greatest pivots in
corporate history, selling their
services to governments. By the 2000s,
the government's workforce had nearly
doubled. And with that rapid growth came
huge inefficiencies. So officials turned
to consultants to try and fix this,
hoping that their advice would help sort
out the bureaucracy. Over the course of
a few years, US federal spending on
outside management consultants tripled.
On the surface, this looked like the
perfect business opportunity, but it
also planted the seeds of the industry's
downfall. the point where consulting
began drifting away from being a serious
business service and towards the
punchline we think of today. In 2012,
the US Air Force scrapped a project
called the Expeditionary Combat Support
System. After nearly a decade of work
and more than a billion dollars spent
largely on consulting fees, it produced
nothing. The system had been designed to
replace 200 separate databases with one
streamlined platform. But it collapsed
under endless delays and mismanagement.
And yet no single consultant or
department paid the price. The point is
in government contracts accountability
was so diffuse that even billiondoll
disasters had no clear culprit.
Consulting firms figured this out pretty
quickly. And unlike in the private
sectors, bad recommendations didn't
threaten their reputation. For
consultancies, this was the dream. Not
only did this shield them from
responsibility when projects failed, but
as long as they weren't actually solving
the government's problems, they could
keep coming back for more contracts. Of
course, building your entire business
model around giving advice without
consequences is a pretty risky
foundation. If a new technology comes
along that can actually solve those
problems, then suddenly you don't have a
business anymore. But anyways, year
after year, the amount being spent on
these contracts continued to grow
despite the fact the sheer amount of
waste didn't seem to be getting any
better. Unsurprisingly, it was around
this time that we saw the rise of what
we now call corporate speak. Take a look
at this slide. Develop value creating
partnerships. Build a clear mission.
Develop strategies to create sustainable
related opportunities. These words are
the output of million-dollar contracts,
but it's not actually like they mean
anything. But with a fancy graph and a
complimentary color tone, it seems like
the advice must be valuable. And it was
around this time we saw the explosive
rise of the big four management
consultancies. Firms whose job in theory
is to advise the world's biggest
companies and governments on how to run
more efficiently. Whether that's
restructuring, cost cutting, or entire
business strategies. The obvious irony
being that these firms quickly became
part of the costs that they were
supposed to cut. But companies kept
bringing them in because they gave
executives an easy safety net. As any
tough decision could now be justified by
saying, "Well, McKenzie said we should
do it." Whenever firms needed to lay off
staff, spin off a division, or justify a
big merger, they'd bring in consultants.
That might sound absurd as a business,
and in many ways it is. But as long as
the firms maintain an illusion of
prestige, it just about works. The
problem is, after decades of charging
millions for advice that wasn't actually
useful, people do eventually start to
notice. A 2024 survey found that only
13% of businesses felt that consultants
were actually doing more good than harm.
By this point, growth had stalled, staff
were being laid off, and even the most
prestigious firms were quietly admitting
that demand for their services was
drying up. But just as the industry
looked like it was on its last legs, it
got thrown an unlikely lifeline, AI.
For decades, a classic consulting
assignment was market entry analysis. A
firm like Mckenzie would parachute in a
team of Ivy League graduates and MBAs
who'd spend weeks interviewing staff,
cleaning spreadsheets, and building
sprawling financial models. Companies
paid millions for it. But now, large
language models have burst onto the
scene, and suddenly much of the same
grunt work could be done in minutes. But
of course, it does come with a catch. In
2023, Accenture landed a $75 million
contract with the US Patent and
Trademark Office to embed AI into its
patent examination process. The pitch
was classic consultancy. Machine
learning would scan millions of
documents, making the system faster and
more accurate. But instead, the system
routinely mclassified applications,
missing obvious prior patents, and even
hallucinated entire references. It
performed so badly that the office
eventually banned generative AI
outright. This failure isn't isolated.
It captures the bind consulting firms
are in. Reports suggest roughly 27% of
their tasks are directly automatable
with today's AI. And Deote admits its
own work is already being replaced from
market analysis to risk modeling. And
yet the very technology getting their
old business model is also the one
they're supposed to be selling to new
clients. McKenzie has already felt the
consequences. In the last 18 months
alone, it was forced to cut 10% of its
workforce. And these weren't
underperforming back office roles. They
were consultants whose bread and butter
was exactly the kind of analysis AI now
automates in minutes. On paper, guiding
companies through disruptive change is
what consulting firms were built to do.
But in practice, it's just exposing how
thin their value proposition has become.
This isn't just a one-off. A recent
study found that 90% of AI
implementation projects fail to meet
business objectives and 42% of companies
abandon the efforts after less than a
year. For the firms that claim to be
selling expert advice, it's a pretty
awful track record. That's not to say
there isn't a lot of good that AI
projects can do in theory. MK, the
world's largest shipping company,
recently stated they've used AI to
forecast port congestion weeks in
advance. A move that is saving the
company over $300 million every year by
avoiding costly delays. So why do so
many consultancy-led projects fall flat?
Part of the problem is that actually
pulling off these implementations
requires deep expertise in AI which is
something today's consultancies don't
have. The real talent isn't sitting at a
deote office or a McKenzie slide deck.
It's inside the research labs at places
like OpenAI or Anthropic. And that
leaves consultancy stuck in a strange
position. AI has managed to make the
majority of their old services obsolete.
And at the same time, it's one of the
few technologies they've actually
struggled to sell their advice on. Put
those together and you get a dangerous
feedback loop. Consulting firms relied
on attracting the best and brightest
graduates. But with AI exposing the
industry as far less prestigious, top
talent is now heading to tech, finance,
and engineering instead. Without that
talent, those glossy slide decks start
to look suspiciously overpriced. What
the downfall of consulting really
highlights is a broader principle that
runs through almost every industry.
Businesses can survive for years,
sometimes decades, by selling an image
of value rather than delivering the
thing itself. As long as nobody has a
clear way of measuring outcomes, that
illusion can hold. But the moment a new
tech arrives that makes those outcomes
visible or cheaper to achieve, the whole
model starts to unravel. Consulting
isn't unique here. We've seen the same
thing with travel agents after online
booking, stock brokers after free
trading apps, and even parts of higher
education now facing pressure from
online learning. The point is, these
models work only as long as the tools to
see through it don't exist. And once
they do, no amount of glossy branding
can hide their cracks.
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