A global food crisis may be less than a decade away Sara Menker

Since 2009, the world has been stuck

on a single narrative
around a coming global food crisis

and what we need to do to avoid it.

How do we feed
nine billion people by 2050?

Every conference, podcast
and dialogue around global food security

starts with this question

and goes on to answer it

by saying we need to produce
70 percent more food.

The 2050 narrative started to evolve

shortly after global food prices
hit all-time highs in 2008.

People were suffering and struggling,

governments and world leaders

needed to show us
that they were paying attention

and were working to solve it.

The thing is, 2050
is so far into the future

that we can’t even relate to it,

and more importantly,

if we keep doing what we’re doing,

it’s going to hit us
a lot sooner than that.

I believe we need to ask
a different question.

The answer to that question

needs to be framed differently.

If we can reframe the old narrative

and replace it with new numbers

that tell us a more complete pictures,

numbers that everyone can understand

and relate to,

we can avoid the crisis altogether.

I was a commodities trader in my past life

and one of the things
that I learned trading

is that every market has a tipping point,

the point at which
change occurs so rapidly

that it impacts the world

and things change forever.

Think of the last financial crisis,

or the dot-com crash.

So here’s my concern.

We could have a tipping point

in global food and agriculture

if surging demand

surpasses the agricultural system’s
structural capacity to produce food.

This means at this point supply
can no longer keep up with demand

despite exploding prices,

unless we can commit
to some type of structural change.

This time around,

it won’t be about stock markets and money.

It’s about people.

People could starve
and governments may fall.

This question of at what point
does supply struggle

to keep up with surging demand

is one that started off as an interest
for me while I was trading

and became an absolute obsession.

It went from interest to obsession

when I realized through my research
how broken the system was

and how very little data was being used
to make such critical decisions.

That’s the point I decided to walk away
from a career on Wall Street

and start an entrepreneurial journey

to start Gro Intelligence.

At Gro, we focus on bringing this data

and doing the work to make it actionable,

to empower decision-makers at every level.

But doing this work,

we also realized that the world,

not just world leaders,

but businesses and citizens
like every single person in this room,

lacked an actionable guide

on how we can avoid
a coming global food security crisis.

And so we built a model,

leveraging the petabytes
of data we sit on,

and we solved for the tipping point.

Now, no one knows
we’ve been working on this problem

and this is the first time
that I’m sharing what we discovered.

We discovered that the tipping point
is actually a decade from now.

We discovered that the world

will be short 214 trillion calories

by 2027.

The world is not in a position
to fill this gap.

Now, you’ll notice

that the way I’m framing this
is different from how I started,

and that’s intentional, because until now

this problem has been
quantified using mass:

think kilograms, tons, hectograms,

whatever your unit of choice is in mass.

Why do we talk about food
in terms of weight?

Because it’s easy.

We can look at a photograph
and determine tonnage on a ship

by using a simple pocket calculator.

We can weigh trucks,
airplanes and oxcarts.

But what we care about
in food is nutritional value.

Not all foods are created equal,

even if they weigh the same.

This I learned firsthand

when I moved from Ethiopia
to the US for university.

Upon my return back home,

my father, who was so excited to see me,

greeted me by asking why I was fat.

Now, turns out that eating

approximately the same amount of food
as I did in Ethiopia, but in America,

had actually lent
a certain fullness to my figure.

This is why we should care about calories,

not about mass.

It is calories which sustain us.

So 214 trillion calories
is a very large number,

and not even the most dedicated of us

think in the hundreds
of trillions of calories.

So let me break this down differently.

An alternative way to think about this

is to think about it in Big Macs.

214 trillion calories.

A single Big Mac has 563 calories.

That means the world will be short
379 billion Big Macs in 2027.

That is more Big Macs
than McDonald’s has ever produced.

So how did we get
to these numbers in the first place?

They’re not made up.

This map shows you
where the world was 40 years ago.

It shows you net calorie gaps
in every country in the world.

Now, simply put,

this is just calories
consumed in that country

minus calories produced
in that same country.

This is not a statement
on malnutrition or anything else.

It’s simply saying how many calories
are consumed in a single year

minus how many are produced.

Blue countries are net calorie exporters,

or self-sufficient.

They have some in storage for a rainy day.

Red countries are net calorie importers.

The deeper, the brighter the red,

the more you’re importing.

40 years ago, such few countries
were net exporters of calories,

I could count them with one hand.

Most of the African continent,

Europe, most of Asia,

South America excluding Argentina,

were all net importers of calories.

And what’s surprising is that China
used to actually be food self-sufficient.

India was a big net importer of calories.

40 years later, this is today.

You can see the drastic transformation
that’s occurred in the world.

Brazil has emerged
as an agricultural powerhouse.

Europe is dominant in global agriculture.

India has actually flipped
from red to blue.

It’s become food self-sufficient.

And China went from that light blue

to the brightest red
that you see on this map.

How did we get here? What happened?

So this chart shows you India and Africa.

Blue line is India, red line is Africa.

How is it that two regions
that started off so similarly

in such similar trajectories

take such different paths?

India had a green revolution.

Not a single African country
had a green revolution.

The net outcome?

India is food self-sufficient

and in the past decade
has actually been exporting calories.

The African continent now imports
over 300 trillion calories a year.

Then we add China, the green line.

Remember the switch
from the blue to the bright red?

What happened and when did it happen?

China seemed to be
on a very similar path to India

until the start of the 21st century,

where it suddenly flipped.

A young and growing population

combined with significant economic growth

made its mark with a big bang

and no one in the markets saw it coming.

This flip was everything
to global agricultural markets.

Luckily now, South America

was starting to boom
at the same time as China’s rise,

and so therefore, supply and demand
were still somewhat balanced.

So the question becomes,

where do we go from here?

Oddly enough,

it’s not a new story,

except this time
it’s not just a story of China.

It’s a continuation of China,

an amplification of Africa

and a paradigm shift in India.

By 2023,

Africa’s population is forecasted
to overtake that of India’s and China’s.

By 2023, these three regions combined

will make up over half
the world’s population.

This crossover point starts to present
really interesting challenges

for global food security.

And a few years later,
we’re hit hard with that reality.

What does the world look like in 10 years?

So far, as I mentioned,
India has been food self-sufficient.

Most forecasters predict
that this will continue.

We disagree.

India will soon become
a net importer of calories.

This will be driven both by the fact

that demand is growing
from a population growth standpoint

plus economic growth.

It will be driven by both.

And even if you have
optimistic assumptions

around production growth,

it will make that slight flip.

That slight flip
can have huge implications.

Next, Africa will continue
to be a net importer of calories,

again driven by population growth
and economic growth.

This is again assuming optimistic
production growth assumptions.

Then China,

where population is flattening out,

calorie consumption will explode

because the types of calories consumed

are also starting to be
higher-calorie-content foods.

And so therefore,

these three regions combined

start to present a really interesting
challenge for the world.

Until now, countries with calorie deficits

have been able to meet these deficits

by importing from surplus regions.

By surplus regions, I’m talking about

North America, South America and Europe.

This line chart over here shows you

the growth and the projected growth
over the next decade of production

from North America,
South America and Europe.

What it doesn’t show you

is that most of this growth is actually
going to come from South America.

And most of this growth

is going to come
at the huge cost of deforestation.

And so when you look
at the combined demand increase

coming from India, China
and the African continent,

and look at it versus
the combined increase in production

coming from India,
China, the African continent,

North America, South America and Europe,

you are left with
a 214-trillion-calorie deficit,

one we can’t produce.

And this, by the way, is actually assuming
we take all the extra calories

produced in North America,
South America and Europe

and export them solely
to India, China and Africa.

What I just presented to you
is a vision of an impossible world.

We can do something to change that.

We can change consumption patterns,

we can reduce food waste,

or we can make a bold commitment

to increasing yields exponentially.

Now, I’m not going to go into discussing

changing consumption patterns
or reducing food waste,

because those conversations
have been going on for some time now.

Nothing has happened.

Nothing has happened
because those arguments

ask the surplus regions
to change their behavior

on behalf of deficit regions.

Waiting for others
to change their behavior

on your behalf, for your survival,

is a terrible idea.

It’s unproductive.

So I’d like to suggest an alternative
that comes from the red regions.

China, India, Africa.

China is constrained in terms
of how much more land it actually has

available for agriculture,

and it has massive
water resource availability issues.

So the answer really lies
in India and in Africa.

India has some upside
in terms of potential yield increases.

Now this is the gap
between its current yield

and the theoretical
maximum yield it can achieve.

It has some unfarmed
arable land remaining, but not much,

India is quite land-constrained.

Now, the African continent,
on the other hand,

has vast amounts of arable land remaining

and significant
upside potential in yields.

Somewhat simplified picture here,

but if you look at sub-Saharan
African yields in corn today,

they are where North American
yields were in 1940.

We don’t have 70-plus years
to figure this out,

so it means we need to try something new

and we need to try something different.

The solution starts with reforms.

We need to reform and commercialize

the agricultural industries in Africa

and in India.

Now, by commercialization –

commercialization is not
about commercial farming alone.

Commercialization is about leveraging data

to craft better policies,

to improve infrastructure,

to lower the transportation costs

and to completely reform
banking and insurance industries.

Commercialization
is about taking agriculture

from too risky an endeavor
to one where fortunes can be made.

Commercialization
is not about just farmers.

Commercialization is about
the entire agricultural system.

But commercialization
also means confronting the fact

that we can no longer place
the burden of growth

on small-scale farmers alone,

and accepting that commercial farms
and the introduction of commercial farms

could provide certain economies of scale

that even small-scale
farmers can leverage.

It is not about small-scale farming
or commercial agriculture,

or big agriculture.

We can create the first successful models
of the coexistence and success

of small-scale farming
alongside commercial agriculture.

This is because, for the first time ever,

the most critical tool
for success in the industry –

data and knowledge –

is becoming cheaper by the day.

And very soon, it won’t matter
how much money you have

or how big you are

to make optimal decisions
and maximize probability of success

in reaching your intended goal.

Companies like Gro are working
really hard to make this a reality.

So if we can commit
to this new, bold initiative,

to this new, bold change,

not only can we solve
the 214-trillion gap that I talked about,

but we can actually set the world
on a whole new path.

India can remain food self-sufficient

and Africa can emerge
as the world’s next dark blue region.

The new question is,

how do we produce 214 trillion calories

to feed 8.3 billion people by 2027?

We have the solution.

We just need to act on it.

Thank you.

(Applause)

自 2009 年以来,全世界一直


围绕即将到来的全球粮食危机

以及我们需要做些什么来避免这种危机而陷入单一的叙述。

到 2050 年,我们如何养活 90 亿人?

每次
围绕全球粮食安全的会议、播客和对话都

以这个问题开始,

然后

通过说我们需要多生产
70% 的粮食来回答这个问题。

在 2008 年全球食品价格创下历史新高后不久,2050 年的叙述开始演变

人们正在受苦和挣扎,

政府和世界领导人

需要向我们
表明他们正在关注

并努力解决这个问题。

问题是,2050 年
离我们太远了

,我们甚至无法与之相关

,更重要的是,

如果我们继续做我们正在做的事情,


会比那更早地打击我们。

我相信我们需要问
一个不同的问题。

这个问题的答案

需要有不同的框架。

如果我们可以重新构建旧的叙述

并用新的数字代替它,这些数字

可以告诉我们更完整的图片,

每个人都能理解

和关联的数字,

我们就可以完全避免危机。

我在过去的生活中是一名商品交易员

,我从交易中学到的一件事

是每个市场都有一个转折点,

在这个转折点上,
变化发生得如此之快

,以至于它影响着世界

,事情永远改变了。

想想上一次金融危机,

或者互联网泡沫破灭。

所以这是我的担忧。

如果激增的需求

超过了农业系统
生产粮食的结构能力,我们可能会在全球粮食和农业领域出现一个转折点。

这意味着在这一点
上,

尽管价格暴涨,但供应无法再跟上需求,

除非我们可以承诺
进行某种类型的结构性变革。

这一次,

它不会是关于股票市场和金钱的。

这是关于人的。

人们可能会挨饿
,政府可能会垮台。

这个问题是供应在什么时候

难以跟上激增的需求,这个问题

一开始是
我在交易时的兴趣,

后来变成了绝对的痴迷。

当我通过我的研究意识到
这个系统是多么的破碎,

以及用于
做出如此关键的决定的数据是多么的少时,它从兴趣变成了痴迷。

这就是我决定放弃
在华尔街的职业生涯

并开始创业之旅

以创办 Gro Intelligence 的原因。

在 Gro,我们专注于提供这些数据

并努力使其具有可操作性,

并赋予各个级别的决策者权力。

但通过这项工作,

我们也意识到,世界,

不仅是世界领导人,

而且
像这个房间里的每个人一样,企业和公民都

缺乏

关于如何
避免即将到来的全球粮食安全危机的可行指南。

因此,我们建立了一个模型,

利用
我们所坐的 PB 级数据,

并解决了临界点。

现在,没有人知道
我们一直在解决这个问题

,这是我第一次
分享我们的发现。

我们发现临界
点实际上是十年后。

我们发现,到 2027 年,世界

将短缺 214 万亿

卡路里。世界
无法填补这一空白。

现在,你会注意到

我构建这个
的方式与我开始的方式不同

,这是故意的,因为直到现在

这个问题已经
用质量来量化:

想想公斤、吨、百克,

无论你选择的单位是什么 大量的。

为什么我们
用重量来谈论食物?

因为这很容易。

我们可以

通过使用简单的袖珍计算器查看照片并确定船上的吨位。

我们可以称重卡车、
飞机和牛车。

但我们
在食物中关心的是营养价值。

并非所有食物都是一样的,

即使它们的重量相同。

这是

我从埃塞俄比亚
搬到美国上大学时亲身体验到的。

回到家后

,父亲见到我很兴奋

,问我为什么胖。

现在,事实证明,

我在埃塞俄比亚吃的食物量与我在美国

吃的差不多,实际上
给我的身材带来了一定的饱腹感。

这就是为什么我们应该关心卡路里,

而不是质量。

是卡路里支撑着我们。

所以 214 万亿卡路里
是一个非常大的数字

,即使是我们当中最敬业的人也不会

想到
数百万亿卡路里。

所以让我以不同的方式分解它。

考虑这一点的另一种方法

是在巨无霸中考虑它。

214万亿卡路里。

一个巨无霸有 563 卡路里。

这意味着到 2027 年,全球将短缺
3790 亿个巨无霸。


比麦当劳生产的巨无霸还多。

那么我们
最初是如何得到这些数字的呢?

他们不是编的。

这张地图向您
展示了 40 年前的世界。

它向您展示
了世界上每个国家/地区的净卡路里差距。

现在,简单地说,

这只是
该国家消耗的

卡路里减去
该国家生产的卡路里。

这不是
关于营养不良或其他任何事情的声明。

它只是说
一年消耗了多少卡路里

减去生产了多少卡路里。

蓝色国家是卡路里净出口国,

或自给自足。

他们有一些储存起来以备不时之需。

红色国家是卡路里净进口国。

越深,红色越亮,

您导入的越多。

40年前,
卡路里的净出口国很少,

我一只手就能数出来。

非洲大陆大部分地区、

欧洲、亚洲大部分地区、

除阿根廷外的南美洲

都是卡路里的净进口国。

令人惊讶的是,中国
过去实际上是粮食自给自足的。

印度是卡路里的主要净进口国。

40年后,这就是今天。

你可以
看到世界上发生的剧烈变化。

巴西已
成为农业强国。

欧洲在全球农业中占主导地位。

印度实际上已经
从红色变为蓝色。

它变成了食物自给自足。

中国从浅蓝色

变成
了你在这张地图上看到的最亮的红色。

我们是怎么来到这里的? 发生了什么?

所以这张图表显示了印度和非洲。

蓝线是印度,红线是非洲。

以如此相似的轨迹
开始如此相似的两个地区

为何会采取如此不同的路径?

印度进行了一场绿色革命。

没有一个非洲国家
进行过绿色革命。

净结果?

印度粮食自给自足

,在过去十年
中实际上一直在出口卡路里。

非洲大陆现在每年进口
超过 300 万亿卡路里的热量。

然后我们添加中国,绿线。

还记得
从蓝色到鲜红色的转变吗?

发生了什么,什么时候发生的? 直到 21 世纪初,

中国似乎走
在与印度非常相似的道路

上,突然发生了翻天覆地的变化。

年轻且不断增长的人口

与显着的经济增长相结合,

一举成名

,市场上没有人看到它的到来。

这种翻转
对全球农业市场来说是一切。

幸运的是,南美

在中国崛起的同时开始繁荣

,因此
供需仍然保持平衡。

所以问题就变成了,

我们从这里去哪里?

奇怪的是,

这不是一个新故事,

只是这
一次不仅仅是一个中国的故事。

这是中国

的延续,非洲

的扩张和印度的范式转变。

到 2023 年,

非洲的人口预计
将超过印度和中国。

到 2023 年,这三个地区加起来将占

世界人口的一半以上。

这个交叉点开始对全球粮食安全提出
真正有趣的挑战

几年后,
我们受到了这一现实的沉重打击。

10年后的世界是什么样子?

到目前为止,正如我所提到的,
印度一直是粮食自给自足的。

大多数预测者预测
这种情况将持续下去。

我们不同意。

印度将很快
成为卡路里的净进口国。

从人口增长

和经济增长的角度来看,需求正在增长这一事实将推动这一趋势。

它将由两者驱动。

即使你对产量增长有
乐观的

假设,

它也会产生轻微的翻转。

这种轻微的翻转
可能会产生巨大的影响。

接下来,在人口增长和经济增长的推动下,非洲将
继续成为卡路里的净进口国

这再次假设了乐观的
产量增长假设。

然后

在人口趋于平缓的中国,

卡路里消耗量将爆炸式增长,

因为消耗的卡路里类型

也开始是
高卡路里含量的食物。

因此,

这三个地区的结合

开始为世界带来真正有趣的
挑战。

到目前为止,卡路里短缺的

国家已经能够

通过从过剩地区进口来弥补这些赤字。

过剩地区是指

北美、南美和欧洲。

此处的折线图向您展示

北美、
南美和欧洲未来十年产量的增长和预计增长。

它没有告诉你的

是,大部分增长实际上
将来自南美。

这种增长的大部分

将以
砍伐森林为代价。

因此,当您查看

来自印度、中国
和非洲大陆的综合需求增长,

并将其与

来自印度、
中国、非洲大陆、

北美、南美和欧洲的总产量增长相比较时,

您会发现 留下
了 214 万亿卡路里的赤字,

这是我们无法生产的。

顺便说一句,这实际上是假设
我们将

北美、
南美和欧洲生产的所有额外卡路里

全部出口
到印度、中国和非洲。

我刚刚呈现给你的
是一个不可能的世界的愿景。

我们可以做一些事情来改变这一点。

我们可以改变消费模式,

我们可以减少食物浪费,

或者我们可以大胆承诺

成倍地增加产量。

现在,我不打算讨论

改变消费模式
或减少食物浪费,

因为这些对话
已经持续了一段时间。

什么都没发生。

什么都没有发生,
因为这些论点

要求盈余地区代表赤字
地区改变他们的行为

等待
别人代表你改变他们的行为

,为了你的生存,

是一个可怕的想法。

这是没有生产力的。

所以我想建议一个
来自红色区域的替代方案。

中国、印度、非洲。

中国在
实际

可用于农业的土地数量方面受到限制,

并且存在大量
水资源可用性问题。

所以答案真的
在印度和非洲。

印度
在潜在产量增加方面有一些优势。

现在这是
它当前的产量


它可以达到的理论最大产量之间的差距。

它还有一些
未耕种的耕地,但并不多,

印度的土地非常有限。

而现在,非洲大陆

拥有大量剩余耕地,

且单产具有显着的
上升潜力。

这里的图片有点简化,

但如果你看看今天撒哈拉以南
非洲的玉米产量,

它们是 1940 年北美产量的水平。

我们没有 70 多年的时间
来解决这个问题,

所以这意味着我们需要尝试 一些新的东西

,我们需要尝试一些不同的东西。

解决方案从改革开始。

我们需要对非洲和印度的农业进行改革和商业化

现在,通过商业化——

商业化
不仅仅是商业农业。

商业化是关于利用

数据制定更好的政策

、改善基础设施

、降低运输成本

以及彻底改革
银行业和保险业。

商业化
是将农业

从一项风险太大的事业
转变为可以发财的事业。

商业
化不仅仅是农民。

商业化
涉及整个农业系统。

但商业化
也意味着面对这样一个事实

,即我们不能再将
增长的负担

单独放在小农身上,

并接受商业农场
和商业农场的引入

可以提供某些规模经济

,即使是
小农也可以利用。

这与小规模农业
或商业农业

或大农业无关。

我们可以创造

小规模农业
与商业农业共存和成功的第一个成功模式。

这是因为,

行业成功的最关键工具——

数据和知识——有史以来第一次

变得越来越便宜。

很快,无论
您有多少钱

或有多大,都

可以做出最佳决策
并最大限度地提高

实现预期目标的成功概率。

像 Gro 这样的公司正在
努力实现这一目标。

因此,如果我们能够
致力于这项新的、大胆的举措

、这项新的、大胆的改变,

我们不仅可以解决
我所说的 214 万亿的差距,

而且我们实际上可以让世界
走上一条全新的道路。

印度可以保持粮食自给自足

,非洲可以
成为世界下一个深蓝色地区。

新的问题是,到 2027 年,

我们如何生产 214 万亿卡路里

来养活 83 亿人?

我们有解决方案。

我们只需要采取行动。

谢谢你。

(掌声)