概述
自动化风险
2. 用户投票
3. 增长
工资
5. 体积
描述
资源
评论

驾驶员/销售人员

自动化风险
计算出的
96%
风险等级
投票
79%
根据 222 票的投票结果
劳动力需求
增长
12.0%
到2032年
工资
$32,690
或每小时 $15.72
体积
489,510
截至 2022
摘要
工作评分
3.1/10

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投票
评论 (12)

自动化风险

96% (即将来临的风险)

迫在眉睫的风险（81-100%）：这个等级的职业在不久的将来有极高的可能被自动化。这些工作主要包括重复性高、可预测的任务，几乎不需要人类的判断。

有关这个分数是什么以及如何计算的更多信息可在这里找到。

工作中的一些相当重要的品质难以自动化：

  • 狭窄的工作空间，尴尬的姿势

  • 手指灵巧

  • 社会洞察力

用户投票

在接下来的二十年内，实现全自动化的可能性为79%。

我们的访客投票认为，这个职业很可能会被自动化。 这个评估进一步得到了通过计算得出的自动化风险等级的支持，该等级预计有96%的机会实现自动化。

你认为自动化的风险是什么？

驾驶员/销售人员在未来20年内被机器人或人工智能取代的可能性有多大？






情感

以下图表会在有大量投票数据可以呈现有意义的数据时包含在内。这些视觉表示显示了用户投票结果随时间的变化，提供了对情绪趋势的重要指示。

随着时间（每年）的情绪变化

增长

相对于其他职业，非常快速的增长。

预计"Driver/Sales Workers"的工作空缺数量将在2032内增长12.0%

总就业人数和预计的职位空缺

* 根据劳工统计局的数据，该数据涵盖了从2021到2031的期间。
更新的预测将在09-2023到期.

工资

相对于其他职业，薪酬极低。

在2022，'Driver/Sales Workers'的年度中位数工资为$32,690，或每小时$15。

' Driver/Sales Workers '的薪酬比全国中位工资低29.4%，全国中位工资为$46,310。

随着时间推移的工资

* 来自美国劳工统计局的数据

体积

与其他职业相比，明显更多的工作机会范围。

截至2022，在美国有489,510人被雇佣为'Driver/Sales Workers'。

这代表了全国就业劳动力的大约0.33%

换句话说，大约每302人中就有1人被雇佣为“Driver/Sales Workers”。

工作描述

驾驶卡车或其他车辆在既定路线或领土内运营，销售或交付商品，如食品产品，包括餐厅外卖商品，或者接送物品如商业洗衣。也可能接受订单，收取付款，或在交货点存放商品。

SOC Code: 53-3031.00

资源

如果您正在考虑开始新的职业生涯，或者想要换工作，我们已经为您创建了一个方便的工作搜索工具，它可能会帮助您找到那个完美的新角色。

在您的本地区搜索工作岗位

评论

GunAndAmmo (极有可能)说
there are already autonomous taxi in san francisco the question is what will the driver do ?
Sep 05, 2023 at 04:33 下午
Constantin (极有可能)说
Very likely to be automated by self-driving cars.
I think by 2040, the majority of cars on the road will be driven by AI.

And if you don't need human drivers, then trucks and lorries will not make sense from a business standpoint. So, I think large trucks will disappear and a large truck will be replaced with a fleet of smaller cars driven by AI artificial intelligence algorithms.
Dec 30, 2022 at 07:01 上午
Vivian (极有可能)说
I hate being a delivery driver, robots please take my job
Nov 04, 2021 at 04:18 上午
Jo (极有可能)说
There are at least three tech firms already seriously working on self-driving lorries... that on top of the large number of companies in the self-driving car market already... the writing on this wall is writ very large... or maybe in three mile high illuminated
letters...
Jul 24, 2021 at 11:53 上午
Heath Edwards (不确定)说
There are multitude of "blind spots" in GPS coverage. When encountered by a human delivery person that is familiar with the area they are annoying but are not insurmountable.
If a drone loses signal...what, hover in place with 500 other stones until the battery runs out, return to base, etc..
If the Earth's GPS coverage reaches 100% confidence over an entire delivery area then yes, automation, UNLESS the delivery is to a condo/apartment/mobile home park/ hotel or any delivery point that exists as one unit among many, all sharing the same street address. If these two issues are solved then yes, automation. If these issues persist it will delay implementation.
In sum, it could go either way.
Sincerely,
Heath Edwards
Jul 29, 2020 at 01:27 上午
jo说
GPS (and the rest of the world's positional tracking systems) have very few "blind spots", particularly from the air, and machines unfamiliar with the area would do what a human would do and use a map... one familiar with the area would do as a human would do, use an internal map.

Multiple addresses in one place would also be handled initially by the human equivalent expedient of dumping the package at the apartment block door or leaving a "we missed you - come collect your package at the depot" postcard... given that the delivery times would probably still be faster there would be as few complaints as now (and it would get blamed on software errors instead of shuffling the human to a different route).

This might improve with new buildings with drone landing pads on the roof with special recepticles might well become the norm, proving safer for the incoming packages as well as not having to go to the depot to collect packages that could not be delivered because you weren't in.
Jul 24, 2021 at 12:02 下午
Vivian说
There are several workarounds to this problem. The first and most obvious I could think of is delivery over local areas that can work off of downloaded maps. This can be expanded to include fairly large regions nowadays with recent technological advances in the efficiency of GIS software and databases. The second solution I can think of is our current technologies in electronic compasses that combine GPS units with measurements of the magnetic field to allow fairly accurate positioning without satellite contact. The biggest issue facing automated delivery is really to deal with changing road hazards. The current solution of AI decision making based on photographic sensors and communication with other devices is useful, but I think a possible future development that would revolutionize this field, especially in rural areas, would be cost-efficient land-based LIDAR sensors paired with electronic compass. But take everything I'm saying with somewhat of a grain of salt, I'm just studying this in school currently.
Nov 05, 2021 at 12:58 上午
Helia (适度)说
because it can be driven by robots
Mar 27, 2020 at 06:38 下午
Jo说
24/7, more safely and more quickly and the money being left on the table by not automating it means that although this might be a harder task than some others it will be done faster because the rewards to success are so incredible... hence the large number of companies in the market already.
Jul 24, 2021 at 12:04 下午
Awaluddin说
It would not be happened here in Indonesia and every developing countries in the world, since the road user are not as obedient as those in advanced countries, try it here and the robot would not run their cars because human drivers are driving careless.
Dec 15, 2019 at 11:52 下午
Michael说
They’re obviously talking about advanced countries such as the United States...
Jul 04, 2020 at 10:13 下午
Jo说
Drones don't need roads and fly above human drivers, crazy or not...
Jul 24, 2021 at 11:55 上午

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